DevOps mobile app development: benefits and challenges

DevOps mobile app development has allowed the mobile industry to become the primary source of information for humans across the globe. Over the last few years, multiple industries have been forced to adapt towards the rise of the business app user. To cope with this shift, they have built their own business apps for mobile users. With this shift, the IT industry has focused more on market demands; businesses are concentrating on creating a new market presence by giving more priorities on app development costs, security, maintainability and code quality.

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Transforming Development Workflows with Integrated Environments

Article | March 18, 2024

From coding to CI/CD integration, the future of integrated development environments plays a pivotal role of open-source communities. Learn about the top IDE providers leading in the tech industry. Contents 1. Introduction 2. The Strategic Importance of IDEs in Accelerating Development 3. Synergy with Modern Development Practices 3.1. Integrating IDEs with CI/CD Pipelines 3.2. Enhancing Agile Methodologies through Collaborative IDE Features 4. The New Frontier: IDE Integration with Microservices and Containers 4.1. Streamlining Microservices Development and Management within IDEs 4.2. Containerization Tools and Their Seamless Integration in Development environments 5. Top IDE Providers for Smooth Development 5.1. LANSA 5.2. Embarcadero Technologies 5.3. Idera, Inc. 5.4. Developer Express, Inc. 5.5. Devart 5.6. Eclipse Foundation 5.7. Mirantis 5.8. Wolfram 5.9. KDE 5.10. Qt Group 6. Final Thoughts 1. Introduction Integrated development environments(IDEs) serve as command centers for programmers due to the centralized nature of their platforms, facilitating the coding process. IDEs are the software programs that combine all the necessary software tools for development, thus streamlining workflow and management in integrated environments. Integrated development environments serve as critical platforms, enabling developers and engineers to solve and ease the complexities of programming with greater efficiency and precision. Historically, IDEs have evolved from basic text editors to sophisticated suites that support the intricate processes of software creation. Today, they are at a pivotal point of transformation, driven by technological advancements and the increasing demand for rapid innovation. This evolution is reshaping development workflows, aligning with the trends towards microservices and containerization, and enhancing collaborative efforts among developers. 2. The Strategic Importance of IDEs in Accelerating Development The importance of IDEs extends beyond mere convenience tools for coding; they are fundamental to the strategic decisions of technology companies. IDEs have significantly influenced the software development community by offering tools that facilitate the coding process. However, IDEs have assumed a new strategic function in the current era of digitalization, where time to market can determine the success or failure of a product. They must facilitate seamless integration with other systems, efficient debugging, and rapid prototyping, abilities that are not essential. Key Features of IDEs: Integrated development environments incorporate sophisticated code editors that provide functionality such as code navigation, syntax highlighting, and auto completion. It guarantees a streamlined coding process with a reduction in errors. Integrated tools simplify the debugging process by enabling programmers to rapidly identify and resolve issues within the code. Standard features include breakpoints, step-by-step debugging tools, and real-time variable investigation. Integrated development environments streamline the build procedure by automating it, thereby decreasing the probability of build errors. This aspect holds significant importance, especially in the context of larger initiatives that involve intricate dependencies. Version control integration is a common feature of IDEs. This integration enables developers to access change tracking, code repository administration, and collaborative functionalities, such as Git. Integrated development environments simplify the process of navigating between projects. Intelligent code suggestions and project-wide search capabilities enable developers to efficiently locate files and functions. Inbuilt code profiling and analysis tools facilitate performance optimization. Identifying bottlenecks and optimizing code for greater efficacy is a capability of developers. Coalescing the development stack, minimizing configuration overheads, intelligent automation are among the other features aiding in acceleration of development. 3. Synergy with Modern Development Practices Contemporary integrated development environments are outfitted with functionalities that mirror the current paradigm shift towards DevOps and serve as catalysts for the said shift. Contemporary integrated IDEs must feature real-time feedback loops in order to support the iterative development that Agile methodologies and continuous integration/delivery (CI/CD) require. By conserving time but substantially diminishing the cognitive burden on developers, these loops enable them to concentrate on constructing optimal software. 42.73% of professional developers use popular Node.js frameworks, libraries, tools, and IDEs, indicating a significant adoption of IDEs in specific programming language communities 3.1. Integrating IDEs with CI/CD Pipelines The integration and deployment of IDEs in CI/CD pipelines is a game-changer. It's more than just having an interface where a developer can check the status of a build. It is now about having a seamless experience where code is written, checked, built, tested, and deployed without the developer stepping out of the IDE. This integration reduces context switching, thereby saving precious time and maintaining the creative rhythm of development. The benefits of integrating IDEs with CI/CD pipelines includes significantly tightening of feedback loops, allowing for rapid bug detection and fixing. Key prerequisites for this integration include a properly configured development environment, version control synchronization, and an operational CI/CD tool. Developers should ensure their IDEs are seamlessly connected to version control systems like Git and the CI/CD pipeline, allowing for real-time tracking, committing of changes, and direct feedback within the development environment. With proper configuration and implementation, IDE-CI/CD integration can bring significant agility and reliability to the software development process. So, it is important for developers continuously monitor and optimize their CI/CD pipelines for better performance. 3.2. Enhancing Agile Methodologies through Collaborative IDE Features Agile methodologies have revolutionized software development, emphasizing collaboration and continuous improvement. Real-time Code Collaboration: IDEs offer real-time code collaboration features that allow multiple developers to work on the same codebase simultaneously. This fosters collaboration and speeds up development. Integrated Communication Tools: IDEs often come with integrated communication tools, such as chat or video conferencing, which facilitate quick and efficient communication within teams. Code Review and Feedback: Code review and feedback are crucial components of Agile methodologies. With IDEs, code review can be done in real-time, and feedback can be given directly within the IDE. Continuous Integration: As discussed earlier, IDEs integrated with CI/CD pipelines enable continuous integration, where changes are tested and merged into the main codebase frequently. This ensures that issues are caught early on and resolved quickly. By incorporating these collaborative features into their development process through IDEs, teams can effectively embrace Agile methodologies and deliver high-quality software efficiently. The global integrated development environment software market is expected to grow at a CAGR of 22% in the forecast period of 2024-2032. Modern IDEs prioritize collaboration, often featuring live sharing, code reviews, and instant messaging to foster tight-knit development teams. These features support agile methodologies and cultivate a real-time development ecosystem. They offer features that allow developers to share and collaborate on code in real-time. These collaborative features break down barriers to teamwork, promoting a dev-culture where the collective expertise of the team is harnessed at each line of code. 4. The New Frontier: IDE Integration with Microservices and Containers The convergence of microservices and containerization within IDEs marks a significant shift towards more modular, scalable, and maintainable in the synergy of software development practices. This integration simplifies the development and deployment processes aligning with the industry's move towards DevOps practices, facilitating continuous integration and delivery (CI/CD) pipelines for faster and more reliable software releases. 4.1. Streamlining Microservices Development and Management within IDEs The adoption of microservices architecture necessitates advanced orchestration capabilities to manage the complexity of multiple, interconnected services effectively. Integrated development environments that incorporate microservices support provide developers with a comprehensive overview of their application architecture, enhancing the efficiency of service creation and management. 4.2. Containerization Tools and Its Integration in Development In the prevailing container-first approach, IDEs serve as pivotal platforms for container orchestration. Through the integration of containerization tools such as Docker and Kubernetes, IDEs enable developers to seamlessly develop, deploy, and manage containerized applications within a unified development environment. The potential extends well beyond the native capabilities of integrated development environment benefits, offering a canvas where extensibility and integration with a myriad of third-party tools and services is encouraged. Implementing plugin architectures and customizability, leveraging on cloud-native IDEs, promoting a culture of tool agnosticism, where developers are not bound to a single language or ecosystem will continue to be the implications of IDE for deployment. Enabling multi-lingual and multi-paradigm development such that a single IDE can adeptly handle multiple languages and their intricacies will streamline the development processes. 5. Top IDE Providers for Smooth Development In the arena of IDEs, certain vendors have stood out for their innovation, foresight, and commitment to empowering developers with cutting-edge tools and user-friendly interfaces. Choosing the right IDE provider for any project is as important step as development and programming. 5.1. LANSA LANSA streamlines business operations with advanced integration and implementation solutions, enabling automation and efficient data exchange between applications and businesses. Its no-code platforms, LANSA Integrator and LANSA Composer, reduce manual efforts and IT resources, speeding up business processes and development. LANSA’s unique low-code environment allows for rapid cross-platform application development, combining the ease of low-code with the power of traditional coding. This approach significantly accelerates the creation, deployment, and management of enterprise-grade applications, enhancing productivity and fostering IT transformation. With LANSA, businesses can rapidly prototype, develop, and deploy integrated applications, achieving improved efficiency and competitive advantage. 5.2. Embarcadero Technologies Embarcadero's RAD Server offers a robust platform for rapidly developing and deploying services-based applications. It facilitates RESTful API publishing with JSON or XML, enhancing connectivity and integration with external databases, servers, and cloud services. RAD Server simplifies modernizing legacy applications into secure, scalable service-based architectures. Its comprehensive suite includes user management, push notifications, geolocation services, and built-in data storage. Additionally, RAD Server's ease of deployment and operation, combined with support for multi-tier architecture and built-in application services, positions it as a robust back-end for developing multi-platform UX applications. Embarcadero empowers developers to build high-performing, enterprise-level applications swiftly, supported by a global community and a legacy of innovation. 5.3. Idera, Inc. Idera, Inc. is a distinguished provider in the B2B software industry, renowned for its commitment to delivering user-centric solutions that enable technical users to make informed real-time decisions in their businesses. With over 20 years of innovation, Idera, Inc. has cultivated a portfolio of brands that are trusted for their ability to offer intuitive, elegant solutions across database administration, application development, and test management. Its products stand at the forefront of hyper-growth markets, including business process modeling, IoT, and disruptive test management tools designed to enhance productivity and strategic goal achievement. Idera, Inc.'s solutions are tools that catalyze the enhancement of collective knowledge and demolish data silos, thereby fostering collaboration across teams and geographies. 5.4. Developer Express, Inc. As a pioneering force in the software development industry, the Developer Express, Inc. is at the forefront of embracing and shaping the evolution of the .NET ecosystem, with a particular focus on Blazor for seamless integration between server and client-side operations. Its commitment extends beyond .NET, as it continually enhances its DevExtreme HTML/JavaScript library and actively supports vital frameworks such as React, Angular, and Vue, ensuring advanced SCSS and TypeScript integration. Its dedication to innovation is evident in its efforts to integrate modern web technologies and improve desktop development tools for WinForms and WPF in response to .NET Core and Windows 11 advancements. 5.5. Devart The Devart specializes in offering comprehensive database development, management, and administration solutions across major platforms, including SQL Server, MySQL, Oracle, and PostgreSQL. Its suite of products, including must-have tools like dotConnect for Oracle and dbForge Studio, are designed to significantly enhance productivity for software developers and engineers by streamlining SQL coding, reducing errors by 99%, and increasing daily efficiency by over 30%. The company's offerings also encompass data connectivity solutions across ODBC, ADO.NET, Python, and more, facilitating seamless data integration and cloud connectivity. With a focus on accelerating database deployment and integrating DevOps practices, the tools are engineered to optimize every aspect of the database lifecycle, ensuring a 2x to 4x faster programming experience and a 300% boost in efficiency with DevOps integrations. 5.6. Eclipse Foundation The Eclipse Foundation is a pivotal organization within the global software community, offering a robust, scalable, and business-oriented environment for open-source collaboration and innovation. It serves as the nurturing ground for a vast array of projects, including the renowned Eclipse IDE, Jakarta EE, and an expert in a multitude of other open-source initiatives spanning cloud and edge computing, IoT, AI, automotive sectors, systems engineering, open processor designs, and beyond. By focusing on the development of next-generation cloud-native developer tools, the Eclipse Foundation positions in facilitating professional development environments. Its initiatives are instrumental in driving technological advancements and fostering an ecosystem of open collaboration that benefits individuals and organizations worldwide. 5.7. Mirantis Mirantis delivers modern application development services, expertly guiding clients through the entire application lifecycle, from CI/CD to LCM automation. Specializing in accelerating secure, cloud-native application delivery, Mirantis assists in building new containerized apps, modernizing legacy applications into scalable and operable cloud-native designs, and facilitating app portability between platforms. By leveraging its extensive expertise in DevOps principles, automation, and Agile software engineering, Mirantis significantly enhances developer productivity, enabling faster development and production timelines. Its comprehensive platform engineering services ensure robust CI/CD, testing, and DevOps automation infrastructure without the time investment required for in-house development. Additionally, Mirantis streamlines application assessment, modernization, and workload migration, offering tailored strategies that optimize flexibility, performance, security, and cost savings. 5.8. Wolfram Wolfram's Universal Deployment System (UDS) revolutionizes software development economics by leveraging its unique technology stack to automate the deployment of functionalities across a vast array of computing technologies. It enables creators to develop material once and deploy it in various forms; ranging from high-volume services and polished end-user products to flexible software components. Across multiple platforms, including cloud, desktop, server, mobile, and embedded systems, it supports a broad spectrum of deployment technologies and scenarios, such as web APIs, cloud-hosted computation, mobile apps, and embedded code; the UDS offers unparalleled versatility. Additionally, it facilitates end-user, machine-to-machine, and component deployment, supported by an extensive infrastructure. This comprehensive approach enhances the developer productivity and broadens the reach and accessibility of applications across diverse environments. 5.9. KDE The KDE community is a prominent international technology group that develops free software for desktop and portable computing environments. Its offerings include a modern desktop system for Linux and UNIX platforms, extensive office productivity, and a wide range of software across categories such as Internet, multimedia, entertainment, education, graphics, showcasing the power of integrated development software. Notably, KDE software supports over 60 languages and adheres to principles of ease of use and accessibility. With applications that run natively on Linux, BSD, Solaris, Windows, and macOS, KDE also provides a developer platform built on Qt, allowing for creating and distributing applications across multiple platforms. Additionally, KDE introduces KDevelop, a cross-platform IDE for various programming languages, underscoring KDE's commitment to facilitating seamless, multi-platform application development and distribution. 5.10. Qt Group Qt Group is a global software company acclaimed for empowering over 1.5 million developers and industry leaders worldwide. With a focus on enhancing productivity throughout the product development lifecycle, from UI design, software development, and quality management to deployment, Qt Group serves a diverse clientele across more than 70 industries in over 180 countries. The company is renowned for Qt Creator, an AI-enabled cross-platform IDE that enhances developer productivity. Qt Creator facilitates software creation across desktop, mobile, and embedded platforms, offering sophisticated code editing, version control integration, project and build management, and multiple target support. Additionally, it provides a suite of development tools, including a device emulator, the Qt Quick compiler for optimized performance, and GitHub Copilot integration to expedite coding tasks. 6. Final Thoughts As IDEs continue to evolve, the incorporation of intelligence is anticipated to bring about a transformative phase of predictive coding, where IDEs will proactively suggest code snippets and solution patterns, significantly boosting development efficiency. Moreover, the open-source movement is poised to play a crucial role in this evolution, driving transparency, fostering community-driven enhancements, and ensuring that IDEs remain accessible and of high quality for all developers. IDEs are evolving into indispensable allies for developers and strategists alike, adapting to the rapid changes in the tech industry. This evolution of IDEs marks a new chapter where are the fundamental enablers in the technological progress and digital innovation.

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Friction to Flow: Solutions for Addressing IDE Challenges

Article | March 15, 2024

Venture into an in-depth exploration aimed at resolving prevalent IDE challenges and providing solutions, from refining debugging processes to achieving seamless UI/UX across diverse platforms. Contents 1. Introduction 2. Identifying Common Friction Points in IDE Usage 3. Overcoming the Challenges Encountered in IDE 3.1. Steep Learning Curve 3.2. Version Control Difficulties 3.3. Insufficient Debugging Tools 3.4. Plugin Dependency 3.5. Inconsistent UI/UX Across Platforms 3.6. Difficulties in Project Management 3.7. Security Vulnerabilities 3.8. Limited Testing Tools 3.9. Inefficient Remote Development Support 3.10. Continuous Integration/Continuous Deployment Integration Complexities 4. Wrap-Up 1. Introduction Integrated Development Environments (IDEs) serve as the cornerstone of a developer's toolkit. These powerful platforms offer an integration of tools designed to streamline the coding, testing, and deployment processes. However, the challenges in modern IDEs present roadblocks that can hamper productivity, efficiency, and innovation. Developers face various obstacles, including learning processes, mastering new debugging tools, and managing projects to ensure consistent UI/UX across platforms. Moreover, the looming threat of security vulnerabilities and the limitations of testing tools further complicate the development workflow. This requires strategies for improving IDE performance in the development environment. This article on IDE solutions and challenges will lay out ten challenges, providing insights and actionable solutions to optimize the use of IDEs in software development projects. 2. Identifying Common Friction Points in IDE Usage Identifying and Addressing User Friction in IDEs 1. Understanding User Friction - User friction refers to challenges that hinder users from completing desired actions within a product. These arise from factors like poor UI design, confusing user flows, and resolving IDE performance issues. - Common causes of user friction in IDEs include generalized onboarding, unintuitive experience, outdated UI, product bugs, slow performance, and complex workflows. 2. Hierarchy of User Friction - User friction patterns fall into three main categories: structural friction, emotional friction, and cognitive friction, which are related to UI design, user feelings, and product understanding, respectively. 3. Diagnosing and Overcoming Friction Points - Employ empathy and observation to explore the IDE from a user's perspective, listen to user feedback, use product analytics to identify UI gaps, and implement in-app guidance to assist with navigation. 3. Overcoming the Challenges Encountered in IDE 3.1. Steep Learning Curve A lack of robust debugging tools may lead to prolonged debugging sessions, reducing overall productivity. Developers need visibility into code execution to diagnose and fix issues efficiently. Online courses or certification are the knowledge source for 40.39% of software developers. Empower with Debugging Techniques Invest in Strong debugging techniques for IDE include breakpoints, step-throughs, watches, and stack traces. Train developers to use these tools effectively through workshops and pair programming. Encourage a culture of logging and testing alongside debugging. 3.2. Version Control Difficulties Inconsistent version control leads to confusion and code conflicts. A small change to a source file can result in a different generated file, affecting the performance of the system. While the centralized server has a single point of failure, making copies of the repository is also difficult. In addition, IDE-generated files are usually user-specific. The version control system market size is estimated at USD 1.11 billion in 2024 and is expected to reach USD 2.39 billion by 2029, growing at a CAGR of 16.63% during the forecast period (2024-2029). Unifying Branching Models IDE optimization strategies involve adopting a streamlined version control system, and a branching strategy is crucial to solve the aforementioned complexities. Standardize on a version control system. Offer clear guidance for branching, merging, and naming conventions. Implement tools to integrate seamlessly with IDE. This extensively simplifies version control workflows. 3.3. Insufficient Debugging Tools The absence of effective debugging tools can lead to prolonged debugging sessions, thereby reducing productivity. IDE developers need visibility into the code execution to diagnose and fix issues efficiently. Development folks spend 90% of our time debugging! Empower with Debugging Techniques Addressing the challenge of insufficient debugging tools necessitates a comprehensive approach that includes evaluating existing functionalities, and integrating or developing advanced plugins and extensions. This ensures IDE compatibility troubleshooting with current systems. Discover and invest in strong debugging techniques for IDE, such as breakpoints, step-throughs, watches, and stack traces to avoid inefficiencies. Train developers to use these tools effectively through workshops. Pair programming encourages a habit of logging, testing, and debugging. 3.4. Plugin Dependency IDEs often rely on plugins for extended functionality. However, being overly dependent on plugins can lead to maintenance headaches and performance issues. These issues include performance degradation, compatibility issues, and security vulnerabilities. Plugin Curation Curate a set of essential plugins that cover the team's varied needs. Regularly review and retire outdated or underused plugins. Encourage developers to contribute to or maintain internal plugins where appropriate, ensuring they align with the team's goals and standards. Address compatibility issues in IDE usage and emphasize the use of plugins from reputable sources or the IDE's own plugin marketplace to significantly mitigate security risks. 3.5. Inconsistent UI/UX Across Platforms With IDE developers working across a variety of devices and operating systems, UI/UX inconsistency can be jarring and impede the fluidity of the development process. This is another difficulty among the IDE challenges and solutions. As of the most recent data available in 2023, the global cross-platform app development framework market was valued at approximately US$ 120 billion. Universal Design Language Ensure the IDE adheres to a shared design language across platforms. Utilize cross-platform design tools and component libraries to maintain a consistent look and feel. Standardize design elements and user interactions across all platforms, coupled with offering customizable UI options to significantly enhance consistency and user satisfaction. Provide the best IDE for development environment. 3.6. Difficulties in Project Management Issues such as lack of visibility, communication breakdowns, and struggles with version control can significantly impede project progress, leading to missed deadlines and decreased team cohesion. An IDE lacking proper integration tools makes monitoring project milestones and managing expectations difficult. This often results in duplication of efforts and confusion over code changes. 37% of projects fail due to the lack of defined project objectives and milestones. Project Management Integration Select IDEs that integrate well with project management tools, such as issue trackers and scrum boards. Encourage the use of version control to maintain visibility over code changes and work progress. Prioritize integration with project management tools. Incorporate version control systems directly within the IDE, such as Git streamlines code management. Facilitate collaboration with simplified error resolution. Troubleshoot common errors in IDE 3.7. Security Vulnerabilities Integrated development environment challenges include security vulnerabilities in IDEs posing significant risks, including data breaches and unauthorized access, as these platforms often have access to sensitive project files and personal information. An analysis of 1,700 enterprise applications revealed that, on average, they contained 135 third-party software components, of which 90% were open source. Eleven percent of those open-source components had at least one vulnerability. Fortify with Remediation A solid security posture is the proven solution for IDE to protect both the team and the project. Select IDEs with robust security features, such as built-in code analysis and integration with security tools. Implement regular security updates and patches. Integrate robust security features like two-factor authentication and encrypted data storage to mitigate these risks and safeguard user data effectively. 3.8. Limited Testing Tools An IDE with limited testing capabilities can lead to a disjointed testing process and an increased chance of releasing buggy code, potentially leading to bugs and inconsistencies in the final product. Only 40% of organizations use formal security rating tools to check open-source package safety. Testing Expansion Expand the IDE's testing capabilities by integrating comprehensive testing suites and plugins. Facilitate easy access to external testing frameworks to enhance testing efficiency and coverage. Foster a culture of test-driven development to embed testing into the coding process. 3.9. Inefficient Remote Development Support Ignoring accessibility in IDE design can limit the ability of some developers to engage with their work fully. This may lead to exclusions and frustrations among developers, thereby losing the talented acquisitions. Inefficiencies grow from inadequacies, and inefficient RDS can result in less efficient development. As per asurvey, companies outsource their development tasks for various reasons, including 26%, to gain access to talented professionals. Universal Design Approach Ensure that the chosen IDE utilizes universal design principles to make all features accessible to developers with various needs. Offer training on accessible development techniques and tools to create a more inclusive environment. Advocate for better accessibility features. Collaborate with developers with different needs and provide feedback to IDE developers. 3.10. Continuous Integration/Continuous Deployment Integration Complexities Inadequate automation owing to poor integration, mental effort from frequent context switching between IDEs and CI/CD technologies, and visibility gaps regarding build state and deployment progress can drastically reduce efficiency. Tool incompatibility may require complicated workarounds. Manual pipeline interactions increase security concerns due to human error or data exposure. A study shows that organizations with CI/CD adoption practices have 25% faster lead times and 50% fewer failures compared to those that don’t. Integration Streamlining Choose IDEs with built-in or easily integratable CI/CD features. Ensure that these features support your team's chosen CI/CD practices and tools. Create clear documentation and provide training on CI/CD integration within the IDE to promote efficient development workflows. 4. Wrap-Up The problems and solutions in the IDE require adequate automation due to proper integration. The integration that seamlessly blends coding, testing, deployment, and monitoring within a single platform will likely include advanced support for artificial intelligence and machine learning to assist in code generation, error detection, and even automated optimization suggestions. As a result, it will significantly reduce development time and improve code quality. Furthermore, cloud-based IDEs will become more prevalent, offering IDE developers the flexibility to work from anywhere, collaborate in real time, and access powerful computing resources without the need for high-end hardware.

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Strategic Approaches to DevOps Issue Detection and Tracking

Article | March 14, 2024

Identify strategic approaches and best practices for tracking and issue detection in DevOps to improve collaboration, streamline operations, and accelerate the delivery of high-quality software. Table of Contents 1. Executive Overview of DevOps 2. Fundamental Tenets of DevOps in Contemporary Business 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration 3.2 Effective Use of Microservices Architecture 3.3 Enhance Container Orchestration 3.4 Embrace DevSecOps Integration 3.5 Foster Collaboration 3.6 Implement Test Automation 3.7 Incorporate Infrastructure as Code (IaC) 3.8 Adopt CI/CD 3.9 Deploy Chaos Engineering Methodology 3.10 Adopt Serverless Architecture 3.11 Version Control 3.12 Configuration Management 3.13 Application Performance Monitoring 3.14 Apply Lean Principles 3.15 Monitoring and Logging Metrics 4. Final Thoughts 1. Executive Overview of DevOps DevOps revolutionizes how software is delivered by integrating development and operations to enhance efficiency and speed. It is driven by principles like culture, automation, lean, measurement, and sharing. Successful DevOps adoption streamlines engineering departments and top management, leading to faster and simpler project completion. It's about bridging gaps between teams, focusing on continuous improvement, and connecting user feedback to development for agile market response. Adopting modern DevOps practices is critical for staying competitive, adapting swiftly to changes, attracting top talent, and building customer loyalty​​. 2. Fundamental Tenets of DevOps in Contemporary Business DevOps has emerged as a transformative force in modern business, driven by a set of core tenets that break down silos, accelerate delivery, and foster a culture of continuous improvement. The principles listed below emphasize on breaking down barriers, automation as a foundation, continuous improvement at its core, customer focus as the priority, and shared responsibility as a driving force. Automation Continuous Integration and Continuous Deployment (CI/CD) Collaboration and Communication Rapid and Reliable Delivery Monitoring and Feedback Quality and Security Scalability and Performance Optimization Agility and Flexibility Infrastructure as Code (IaC) Lean and Efficient Operations 3. Best Practices for High-impact DevOps Implementation 3.1 Agile Integration One of the most important aspects of Agile is its emphasis on continuous improvement and customer feedback. Integrating DevOps with Agile enhances value-delivery and streamline workflows, focusing on quick, iterative development and adaptive planning. Agile prioritizes incremental and iterative product delivery, allowing teams to maintain the flexibility and agility for responding to and incorporating stakeholder feedback. Agile follows these 4 core values: Prioritize people and interactions over tools and processes. Prioritize a working product over documentation. Prioritize customer collaboration over contract negotiation. Respond to changes over following a plan. 3.2 Effective Use of Microservices Architecture Being DevOps best practices in modern business, microservices architecture helps develop applications as a collection of small, independent services, and improves scalability and flexibility in development. This modularity allows for easier updates and maintenance, thus smoothening a faster delivery process and improved quality. Microservices enhance the dependability and robustness of systems by enabling the isolation and resolution of service failures without impacting the entire system. Container orchestration with microservices offers fine-grained environments for execution andthe ability to combine various application components into a single instance of an operating system. Microservices, containers, and orchestrators are an ideal complement to one another. 3.3 Enhance Container Orchestration Orchestration manages the lifecycle of containers using DevOps tools for issue detection like Kubernetes, providing automated deployment and scaling. It automates container scheduling, deployment, scalability, load balancing, availability, and networking. Docker introduced a paradigm shift towards distributed operating systems, streamlined software deployment processes, and enabled dependable application execution across diverse computing environments. By automating the deployment of multiple containers used to implement an application, this can be achieved more efficiently. The term used to describe this form of automation is orchestration. It is frequently employed to administer multiple containers through orchestration tools. In addition to mediating between applications or services and container runtimes, container orchestration manages resources, schedules and provides services. This ultimately helps handle the complexities of managing large deployments and reducing manual overhead. It automates provisioning, deployment, networking, scaling, and lifecycle management. 3.4 Embrace DevSecOps Integration Security practices in DevSecOps culture includes automated security checks for software security. It is an approach to automation that integrates security as a shared responsibility throughout the lifecycle entails DevSecOps. Password storage in private repositories for automation is on the decline due to the increasing threats with the development of technology. Therefore,implementing secure internal networks to isolate and track problems in CI/CD workflows is commendable for best strategy for implementing DevOps. One way to restrict exposure to hazards and enforce 'the principle of least privilege'is by utilizing VPNs, robust two-factor authentication, and identity and access management systems. 3.5 Foster Collaboration Encouraging open communication and teamwork across departments, fosters a healthy collaboration, and leads to efficient problem-solving and innovation. Cross-functional collaboration is essential for providing feedback loops and continuously improving work. This improves productivity and reliability. The primary objective of collaboration is to enable a sense of shared responsibility among development and operations teams. Embracing failure and continuous feedback can lead to a transparent and visible environment. Constant monitoring, measuring, and analyzing the software delivery facilitates iterative improvement. 3.6 Implement Test Automation One of the DevOps implementation best practices, this methodology combines operations and development operations in a single cycle. All parties involved in the software development process, including operations, quality assurance, and development, must work closely together. Testing enables constant monitoring of applications and infrastructure while providing feedback to improve development and operational activities. DevOps must establish a mature framework for automated testing that facilitates the programming of test cases. It is advised to start with simple, repetitive tasks and gradually expand coverage to build automation flows efficiently. Each test case should be limited in complexity for easy troubleshooting and built as independent, reusable components to minimize creation time and enhance efficiency. Maintaining separate, self-contained automated test cases also facilitates parallel execution across different environments. 3.7 Incorporate Infrastructure as Code (IaC) IaC helpsto recreate an exact environment subsequent to deployment due to the necessity of updating the systems it interacts with. It manages and provisions infrastructure through code, bringing speed and consistency to the whole environment setup.By eliminating the needfor manual infrastructure management, IaC mitigates the possibility of human error. Instead of relying on engineers to recall previous configurations or respond to failures, the entire system is composed of code and governed by thesource control system.Infrastructure as Code has further decreased cloud expenditures through the implementation of auto-scaling capabilities. 3.8 Adopt CI/CD Continuous Integration is a development methodology that enables programmers to commit changes to a shared repository multiple times daily. Automated builds are utilized to validate the code. This helps the team in the early stages of development in DevOps issue detection and promptly resolving them. It streamlines the software development process by enabling more frequent and reliable updates through regular integration and testing of code. This leads to the early detection of issues and ensures high-quality outputs. Moreover, CI/CD promotes better collaboration among developers and accelerates the feedback loop from users. This is crucial for rapid adaptation to market needs. The automation of deployment processes further reduces errors and saves time, enhancing overall efficiency in software development. 3.9 Deploy Chaos Engineering Methodology Chaos engineering is an approach that aims to enhance the dependability of a system by deliberately introducing failures and atypical situations. Chaos engineers intentionally break the system under controlled conditions to gain a deeper understanding of its vulnerabilities and rectify them before the occurrence of significant problems. Chaos engineering integration into DevOps pipelines enables fault-tolerance and resilience testing to be executed. This helps to identify and address potential system vulnerabilities during the early phases of development. This reduces the time and resources required to resolve and detect DevOps issues after the product has been released. Incorporating chaos experiments into the CI/CD pipeline promotes a culture of ongoing development and knowledge acquisition by enabling teams to promptly observe the consequences of code modifications on the system's overall stability. 3.10 Adopt Serverless Architecture The serverless model allows users to build and run applications and services without managing servers, resulting in one of the DevOps deployment best practices. All infrastructure management tasks are eliminated by this method. These tasks include cluster provisioning, patching, operating system maintenance, and capacity provisioning. Developers are only responsible for bundling their code into containers for deployment. Adopting serverless computing enables developers to delegate the critical tasks of provisioning servers and managing resources to a cloud provider, focusing instead on deploying their code. This strategic approach to DevOps lets the provider automatically manage scalability and resource allocation. Also, it lets them adapt to varying demands efficiently. Function-as-a-Service (FaaS) concept is central to serverless computing, which plays a pivotal role in its functionality. With serverless architectures, developers enjoy enhanced flexibility and accelerated time to release. 3.11 Version Control It is a mechanism that monitors the advancement of code throughout the software development lifecycle and its numerous iterations. Version control assists in change management by maintaining a record of each modification, including authorship, timestamp, and additional pertinent information. Investing in software version enables DevOps teams to improve collaboration among teams. With this, it enables enhanced efficiency in their work. By enabling teams to monitor modifications made to the code base, version control systems facilitate effective collaboration and expedite error resolution. In addition, version management paves the way for deployment of new features and upgrades. Additionally, it guarantees system stability and diminishes the probability of errors that may result in system outages. These systems facilitate the automation of processes by development teams, thereby increasing the speed and efficiency of repetitive activities such as testing, constructing, and deploying. 3.12 Configuration Management Multiple environments are necessary for each phase of the development process. These include unit testing, integration testing, acceptance testing, traffic testing, system testing, and end-user testing. The complexity of these environments escalates as the DevOps testing strategy progresses toward pre-production and production settings. Automated configuration management guarantees that these environments are configured optimally. Inadequate configuration management in DevOps may lead to system outages, data leaks, and breaches. It's also worth noting that bad environments make for improper, incomplete, and shallow tests. 3.13 Application Performance Monitoring Monitoring application performance within the DevOps framework is critical, as it enables the detection and resolution of problems before they can affect the overall system's performance. Although the objective is comparable to that of network performance monitoring (NPM), there are significant distinctions between the two methodologies that render them equally valuable to implement. System and application performance metrics are crucial as they reveal the performance details of the application. For instance, they indicate if the system is too sluggish or if the TPS (transactions per second) SLA is being met. Additionally, they help determine if the system can handle the peak load in the live environment and how the application recovers from a stressed state to a normal state, among other things. 3.14 Apply Lean Principles Applying lean principles in DevOps is recognized as a best practice. The approach enhances efficiency and productivity in software development and delivery processes. It lays emphasis on value creation, waste reduction, and continuous improvement. It aligns seamlessly with DevOps objectives. This involves a thorough understanding of customer needs to define value accurately and then mapping the value stream to identify and eliminate non-value-adding activities. Strategizing a flow in the DevOps pipeline ensures a smooth and uninterrupted delivery process, eliminating problems in DevOps pipelines. The 'pull' system in Lean, adapted to DevOps, ensures that development aligns with customer demand. 3.15 Monitoring and Logging Metrics Organizations analyze logs and metrics to determine how application and infrastructure performance affects the end-user experience of a product. By documenting, categorizing, and analyzing data and records produced by infrastructure and applications, organizations can gain insights into the effects of updates or modifications on users. This facilitates the identification of the underlying factors contributing to issues or unforeseen changes. Active DevOps monitoring strategies become more critical as the frequency of application and infrastructure updates rises, and services must be accessible around the clock. Implementing real-time analysis or setting up alerts for this data enables organizations to monitor their services more proactively. 4. Final Thoughts Looking ahead, the future of DevOps promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, incorporating security practices in DevOps culture will enable DevOps to become increasingly vital in safeguarding digital assets. The importance of DevOps in achieving streamlined operations cannot be overstated. By reducing manual interventions, businesses can deliver high-quality software consistently. Fostering collaboration helps them respond to market changes rapidly and ultimately improve customer satisfaction. Moreover, reduced operational costs, faster time-to-market, and increased revenue potential all contribute to a significant ROI.

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Software

From Development to Deployment: End-to-End DevOps Automation

Article | February 1, 2024

The seamless journey of DevOps automation in this article, from development to deployment leads to improved revenue, where efficiency meets excellence from initial development to seamless deployment. Contents 1. The Significance of Streamlining Development to Deployment 2. How Key Strategies for DevOps Success Elevate Revenue Generation? 3. Automating Development 3.1. Continuous Integration (CI) Essentials 3.2. Streamlining Continuous Deployment and Delivery (CD) 3.3. Efficient Version Control 4. Configuration Management 4.1. Role-based Configurations in DevOps 4.2. Dynamic Configuration Management (DCM) 5. Top Providers for DevOps Security and Collaboration 5.1. LambdaTest 5.2. Katalon 5.3. Leapwork 5.4. Sauce Labs 5.5. Opkey 5.6. SmartBear 5.7. Cyara 5.8. Copado 5.9. Qmetry 5.10. Delphix 6. Exploring Emerging Technologies in DevOps Deployment without DevOps is characterized by a traditional, often siloed approach, typically following a linear and sequential 'waterfall' model. Development and operations teams, in such cases, work independently then lead to limited collaboration and communication. The process involves manual handovers, often with insufficient knowledge transfer, resulting in longer release cycles, making deployments riskier and more error-prone due to the bundling of numerous changes. Additionally, the feedback loop is limited, causing delays in implementing user or operational feedback. This is where streamlined deployment comes into the picture. For Example, Etsy, which grew at a regular pace, following the traditional waterfall approach, achieved 80 releases a day rather than deploying code twice a week, post-DevOps integration. 1. The Significance of Streamlining Development to Deployment The previously occurring Integration Issues can now be avoided by shifting the model to DevOps.For example, aligning and integrating the front and backend error-free is no longer tedious. Each developer has their local setup which can cause the infamous 'it works on my machine' syndrome when the code fails to run in different environments. This, ultimately, streamlines the end-to-end DevOps automation process flow. The traditional workflows, often lacking continuous testing and detection of errors, will eliminate costly delays and rework. Collaborating on code, especially in large teams, became a hassle with no shared tools or platforms. While DevOps management platforms enable teams tocollaborate and work together, DevOps collaboration tools and technologies manage work, improve team communication, and share expertise. The market size for custom software development was valued at $388.98 billion in 2020 and is expected to grow to $650.13 billion by 2025. 2. How Key Strategies for DevOps Success Elevate Revenue Generation? An effective DevOps approach prioritizes customers. Focusing on strong software justifies extended development and release timelines. It also ignores the most important factor: software users. Consumers want a good product that solves their problem rather than the process. A good DevOps approach puts the team in the customer's shoes. While 22% of rework time is minimized with DevOps practices, the deployment frequency of firms with DevOps as compared to those without DevOps is a whopping 200 times. Adit Modi, Cloud Architect and Community Leader at Digital Alpha reported that he saw a whopping 30% increase in developer productivity within the first month in a startup. Continuous Integration A robust approach for automating development operations is CI. CI automates code build and change integration. An end-to-end DevOps automation implementation method emphasizes fast, automated systems. Continuous integration lets developers integrate code more often and create and merge code. Implementing CI saves a lot of time in development. It reduces regression bug-resolving time while promoting code quality. A promising CI pipeline helps one understand the codebase and customer features. For example, as stated in Netflix Technology Blog, Titus is Netflix’s infrastructural foundation for container-based applications. It provides Netflix scale cluster, resource management, and container execution with deep Amazon EC2 integration as well as common Netflix infrastructure enablement. Infrastructure-as-a-code and Automation IaC is a compelling way to automate IT infrastructure management, provisioning, and configuration. Maintaining ideal infrastructure is the fundamental goal of IaC. Infrastructure-as-a-code practices in DevOps are utilized to administer the server, storage, and networking infrastructure of a data center. It is designed to facilitate configuration and administration on a massive scale and automatically handles and manages steady-state deviations. Implementing a DevOps automation guide is among the best DevOps strategies for companies seeking to increase revenue as it streamlines development and operations, leading to faster deployment cycles, improved efficiency, and, ultimately, a quicker time-to-market for new and innovative services that drive sales growth. For example, Kloudspot drastically reduced development and service management time by 50% while deploying its new end-to-end DevOps automation infrastructure via an automated system. Constant Delivery and Deployment Continuous delivery (CD) helps teams build high-quality software quickly. Continuous delivery pipelines provide software on time with minimal manual intervention. CD is an effective DevOps release technique for faster software development, testing, and deployment. In an interview with Clare Liguori, Principal Software Engineer for AWS container services, she emphasized that AWS just doesn't enforce automation onto its processes and hope for the best; its automated deployment practices are carefully built, tuned, and tested based on what helps them balance their deployment safety against deployment speed. Microservice framework Microservices are compact, deployable services designed in the style of intricate applications. They are merely an iteration of the Service-Oriented Architecture (SOA) paradigm. In addition to being independent of technology, they exchange information using a variety of communication protocols. The noteworthy part is that one service does not crash or impact other parts of an application! For example, Uber's infrastructure exemplifies a commendable microservice architecture. Several thousand microservices comprise this component and communicate via remote procedure calls (RPC), as noted in their Domain-Oriented Microservice Architecture blog. 3. Automating Development Automated ecosystem orchestration is becoming increasingly important due to the proliferation of Kubernetes architectures, which have transcended the human capacity for management. Continuous integration and deployment are executed in four phases by the CI/CD pipeline: source, build, test, and deploy. Automation in DevOps is mission-critical to an organization’s ability to keep pace with customers and the rapidly changing market. Reducing toil and minimizing toolchain complexity through automation enables developers to focus on what they do best, delivering innovation that drives value for the business. - Hilliary Lipsig, Principal Site Reliability Engineer, RedHat 3.1. Continuous Integration (CI) Essentials A non-CI environment's communication overhead can result in an intricate and entangled synchronization task, thereby increasing project bureaucratic expenses unnecessarily. The manual coordination encompasses operations, the remainder of the organization, and the development teams. CI facilitates the expansion of engineering teams' headcount and output. By integrating CI,software developers are empowered to independently develop features in parallel. Product and engineering communication can be extraordinarily cumbersome. Continuous integration enables this engineering to estimate delivery times for requests when the risk associated with integrating new changes is uncertain. Thereby, CI helps quicken delayed code releases and minimize failure rates. The essentials for an efficient functional CI are: Automate tests to run for every change to the main repository. Run tests on every branch of the repository rather than just focusing on the main branch. Ensure that every feature that gets developed has automated tests. Get a CI service to run those tests automatically on every push to the main repository. Integrate changes regularly. Establish security early in pipelines before building artifacts or deploying. Scan built container images for vulnerabilities with vulnerability scanning for artifact analysis. Implement linting and static code analysis early in pipeline to avoid weaknesses like accepting raw inputs. Use binary authorization to prevent images that contain vulnerabilities from being deployed to clusters. Create pipelines to enable rapid iteration. Ideally, CI pipelines should run in less than 10 minutes. 3.2. Streamlining Continuous Deployment and Delivery (CD) Use GitOps methodology to review changes before they are deployed through merge or pull requests and help in recovery through snapshots in case of failure. Promote, rather than rebuild container images, to avoid minor differences across code branches. Consider using more advanced deployment and testing patterns according to business needs. These include Recreating a deployment, Rolling update deployment, and blue-green deployment. Use Separate clusters for different environments like development environments, pre-production environments (Staging or QA) and production environments. Keep pre-production environments close to production; while pre-production clusters should ideally be identical to production clusters, they can be scaled-down replicas for cost considerations. Implement a clearly defined rollback strategy to address any substantial issues that may arise throughout the deployment process, enabling users to swiftly revert to the previous version, thereby reducing the likelihood of any adverse effects. 3.3. Efficient Version Control Teams typically face these challenges when adopting CI/CD: Conflicts due to manual testing Downtime risk Inefficient resource utilization Kubernetes has the capability to resolve these issues. In a CI/CD pipeline, it decreases the time and effort necessary to develop and deploy applications. The model's effective resource management increases hardware utilization, automates management procedures, and decreases customer-detrimental disruptions. Cluster management, orchestrate deployment and provisioning, and declarative constructs are some specializations performed by Kubernetes. Efficient version control is demonstrated by Kubernetes through the below mentioned techniques: Kubernetes packages applications and their dependenciesthroughcontainers. Enabling consistent versioning of applications, this practice standardizes environments throughout development, testing, and production. DevOps delivery infrastructure considerations are minimized with Kubernetes, which also enhances application resiliency, automation, and scalability. Incorporating version control directly into the deployment process, Kubernetes enables the automated deployment of new application versions and permits a rollback to previous versions ifissues are raised. Kubernetes provides support for a range of deployment strategies, including blue-green and canary deployments. This support enables the gradual rollout and testing of new versions while ensuring the continuity of service. 4. Configuration Management Unit testing, integration testing, acceptance testing, load testing, system testing, and end-user testing are all critical components of a development infrastructure. As testing advances production environments, the complexity of these environments escalates. The role of automation in DevOps ensures that these environments are configured optimally through configuration management. DevOps configuration management automates routine maintenance tasks and frees up development time for the actual programming. 4.1. Role-based Configurations in DevOps Role-based configuration management in DevOps plays a significant role in managing infrastructure updates and creating organized systems. Roles, for example, bundle and organize automation tasks and configurations in a reusable manner, making it easier to handle complex workflows. These roles promote teamwork and efficiency in development​​. Role-based configurations are a sophisticated strategy for delineating access and operational privileges within the CI/CD pipeline tailored to the specific responsibilities of team members. This paradigm leverages identity and access management protocols to automate the enforcement of security policies, reducing the risk of unauthorized changes that lead to system vulnerabilities or compliance breaches. Organizations can create a more secure, stable, and efficient delivery environment by employing a granular control mechanism. As a result, this facilitates a higher caliber of software releases, optimized resource allocation, and an acceleration in delivering value to customers, which in turn can drive revenue growth and competitive advantage. 4.2. Dynamic Configuration Management (DCM) DCM addresses the entire lifecycle of an application. Top organizations implement dynamic configuration management because they recognize its criticality in enterprise-grade platforms. It addresses the limitations of static configuration management, which may hinder developer and Ops productivity. DCM uses a workload specification to create configurations, reducing the number of configuration files needed and simplifying the deployment process. This approach can significantly reduce configuration file numbers, improving overall business performance​​​​​��​​​​​​. For example, an app with ten services and dependencies is deployed across four environments. Assuming an organization deploys three times a day every 21 working days, a typical cloud native setup would be 300 to 600 configuration files with up to 30,000 versions a month. That is up to 95% fewer files than the static approach. 5. Top Providers for DevOps Automation 5.1LambdaTest LambdaTest is a leading AI-powered unified test execution cloud platform, designed to meet the diverse needs of over 2 million users across 130 countries. With its emphasis on reducing time to market through accelerated test execution and quality assurance, LambdaTest offers a comprehensive suite of testing services, including live and automated cross-browser testing, real device testing, AI-powered visual regression testing, and OTT app testing. The platform integrates seamlessly into the CI/CD pipeline, providing enterprises with options for public cloud, dedicated cloud, or on-premise deployment. 5.2Katalon Katalon is a cutting-edge quality management platform that empowers quality assurance, DevOps, and software teams to accelerate the efficient delivery of world-class customer experiences. Catering to over 30,000 teams worldwide, Katalon streamlines end-to-end software development with its capabilities in authoring, executing, and analyzing test automation across any application or environment. The platform's versatility is evident in its support for testing any app type through a single, all-encompassing solution enhanced by AI, to accelerate test creation and scale testing efforts. With features like no-code test recording, drag-and-drop test objects, native CI/CD integrations, and AI-powered regression testing, Katalon simplifies test automation, making it accessible for beginners while robust enough for experienced professionals. 5.3Leapwork Leapwork stands out as a pioneering AI-powered visual test automation platform, distinguished by its ability to enhance speed and efficiency in software testing significantly. Recognized as a Representative Vendor in the 2022 Gartner Market Guide for AI-Augmented Software Testing Tools and acclaimed for its remarkable ROI of 209% in 'The Total Economic Impact' study by Forrester, Leapwork has solidified its position as a leader in the industry. With a user-friendly visual interface akin to assembling Lego blocks, the platform ensures that enterprise teams can quickly learn, build, and maintain automation within an average ramp-up time of less than 30 days. Capable of working across all applications, Leapwork is ideally suited for enterprises with intricate tech stacks, leading to its adoption by hundreds of global enterprises across various industries, including notable clients like Mercedes Benz, PayPal, and Beckman Coulter. 5.4Sauce Labs Sauce Labs is recognized as a forefront provider of continuous testing and error reporting solutions, facilitating the development, delivery, and maintenance of high-quality code at unparalleled speed. With over four billion tests conducted on its comprehensive, unified test platform, Sauce Labs offers an unrivaled continuous testing solution globally, providing a 360-degree view of application experiences. Demonstrating significant business value, Sauce Labs has reported a 217% ROI, a payback period of less than six months, and a net present value of $6.8M, achieving up to 90% savings in developer and QA time. Trusted by industry leaders such as Stripe, Walmart, and Verizon Media, Sauce Labs empowers enterprises to improve user experience quality efficiently, supporting a wide array of testing needs, including cross-browser, mobile, API, and visual testing. 5.5Opkey Opkey is revolutionizing test automation with its No-Code Test Automation platform, offering unparalleled efficiency and ease of use for business users and IT professionals. By instantly generating necessary test cases and transforming them into automated tests with a single click, Opkey accelerates digital transformation initiatives, enabling customers to achieve an average of 75% savings compared to manual testing. As the official Oracle partner and the top-rated app on the Oracle Cloud Marketplace, alongside being the only certified automated testing platform for Coupa and supporting over 150 technologies, Opkey has garnered industry recognition from Gartner, Forrester, and G2 Crowd, solidifying its position as a leader in providing cutting-edge test automation solutions. 5.6SmartBear SmartBear stands at the forefront of technology innovation, providing a comprehensive portfolio of trusted development and testing tools that enhance software quality and performance. With a focus on test management and automation, API development lifecycle, and application stability, the DevOps management platform ensures unparalleled visibility into the entire software development process, empowering teams to deliver superior user experiences. Dedicated to fostering a vibrant peer-to-peer community and committed to ethical corporate practices, SmartBear meets the dynamic needs of software teams dand strives to make the technology-driven world a better place through its commitment to social responsibility and open-source initiatives. 5.7Cyara Cyara is at the vanguard of customer experience (CX) transformation, offering an AI-based CX transformation platform that enables enterprises to perfect interactions across multiple channels, including voice, video, digital, and chatbot experiences. Esteemed for facilitating continuous innovation and improvement in customer journeys, Cyara significantly reduces operational costs and mitigates risks associated with delivering high-quality customer interactions. Boasting a remarkable 96% customer retention rate and a world-class Net Promoter Score (NPS), the company is the trusted partner for leading global brands, ensuring exceptional customer satisfaction at scale. With its comprehensive approach, it accelerates the pace of innovation, assures a 334% ROI with payback in less than six months, and seamlessly integrates with major technology platforms, making it an indispensable tool for enterprises aiming to deliver flawless customer experiences. 5.8Copado Copado is redefining Salesforce development and testing with its unified CI/CD pipelines and AI-powered automated testing platform explicitly tailored for Salesforce environments. The introduction of Copado Explorer as the most straightforward Salesforce testing tool signifies Copado's commitment to streamlining quality assurance processes and eliminating the back-and-forth typically associated with testing. The platform's low-code development approach and intelligent test automation ensure applications work flawlessly from the first release. Moreover, Copado's end-to-end platform features empower teams with on-demand visibility, timely project delivery, and seamless integration across tech stacks, significantly reducing production bugs and facilitating agile development practices. 5.9Qmetry QMetry emerges as a pivotal automation company in DevOps engineered for Agile testing and DevOps teams, aimed at accelerating the development, management, and deployment of quality software with enhanced confidence. Catering to the imperative demand for quality software in digital transformation initiatives, it equips enterprises with a comprehensive agile testing solution, encompassing complete test management, test automation, and profound quality metrics and analytics. The QMetry suite, inclusive of QMetry test management, QMetry automation studio, and QMetry test management for Jira (QTM4J), stands out for its AI-driven quality orchestration capabilities, promoting rapid scalability, compliance-driven testing, and enhanced return on investment.Through its pioneering Gen AI features like intelligent search, automated test case generation, and flaky test detection, QMetry optimizes productivity and reusability and significantly shortens time to market, serving as an indispensable asset for enterprises striving for excellence in quality software delivery. 5.10Delphix Delphix is the industry benchmark in DevOps test data management, offering a pivotal solution for businesses navigating the complexities of accelerating application delivery while ensuring data security and compliance. Serving as a catalyst for modernization, multi-cloud adoption, CI/CD achievement, and efficient recovery from downtime events like ransomware attacks, up to twice as fast, Delphix empowers customers to enhance developer productivity by 40%, reduce infrastructure costs by 72%, diminish business risk by 76%, and improve development refresh rates by 91%. Esteemed for its significant impact, as validated by an IDC report highlighting increased application release velocity and cost reduction, Delphix is trusted by the world's leading corporations. 6. Exploring Emerging Technologies in DevOps The future of end-to-end DevOps automation promises even greater innovation and efficiency gains. We can anticipate the continued evolution of automation tools, machine learning, and artificial intelligence to optimize further and accelerate software delivery pipelines. Additionally, by incorporating security as a core DevOps principle, DevSecOps will become increasingly vital in safeguarding digital assets. The importance of DevOps’ latest technologies in achieving streamlined operations cannot be overstated. By reducing manual interventions and fostering collaboration, businesses can consistently deliver high-quality software, respond rapidly to market changes, and ultimately enhance customer satisfaction. Moreover, the impact on ROI is substantial, with reduced operational costs, faster time-to-market, and increased revenue potential.

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Abacus Solutions

Abacus Solutions is a premier global provider of secondary market data center hardware and white-glove managed services, hosting, and support. With a multi- million dollar inventory, state-of-the-art technical laboratory, and global logistics team, Abacus Solutions offers a flexible array of servers, storage, and network solutions to quickly and reliably solve problems while maximizing IT spend.

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OpenText AI Enables Smarter Organizations

PR Newswire | October 16, 2023

OpenText™ (NASDAQ: OTEX), (TSX: OTEX), the information company, today announced the latest release of its Cloud Editions (CE) 23.4, which includes OpenText Aviator artificial intelligence (AI) capabilities that carry through the company's innovation roadmap. For over a decade, OpenText has been helping organizations manage and secure large complex data sets from IoT and robotics, to natural language processing, to complex systems and generative AI. OpenText Aviator empowers organizations to swiftly act on their data, make sharp decisions and evolve with intelligent tools that learn over time. OpenText Aviator uplevels information automation so organizations can easily make the AI pivot and conquer today's and tomorrow's business challenges. The AI revolution is creating an unprecedented platform shift – one that will transform all industries, all functions, and all roles, said Mark Barrenechea, CEO & CTO of OpenText. OpenText has been developing AI capabilities for over a decade, and OpenText Aviators is an AI breakthrough for customers. OpenText Aviator will help customers massively increase productivity through new conversation interfaces leveraging Information Management data sets and language models. The demand for and adoption of AI technologies continues to grow at record speed. According to IDC, global AI IT spending will surpass $308 billion by 2026. In response to this rapidly growing demand and market potential, OpenText introduced its opentext.ai vision and strategy for AI focused on helping organizations power and protect traditional operational and experience data while anticipating a new layer of learning data from generative AI and large language models (LLMS). Grounded in layering LLMs on top of private, secured data, opentext.ai allows for a full stack or modular approach to practical AI. Organizations can take advantage of LLM-based capabilities within applications, or they can utilize OpenText Cloud API Services to create the right sandbox to experiment with. "From upstream and renewables to trading and transport to marketing and manufacturing, we keep goods and people moving. We span 160 markets, serve about 32 million people a day at 46,000 branded retail sites and work with more than 1 million business customers. We have been the No.1 global lubricants supplier for 16 consecutive years and offer our customers a strong portfolio of energy solutions they need today and tomorrow. AI is key to maintaining our performance in these areas whilst we play a key role in the energy transition and help our customers decarbonize their businesses in the journey to net zero," said Jonathan Cullender, Head of Integration at Shell. "We are excited to take the stage with OpenText in Las Vegas to explore the game-changing capabilities of AI within the energy sector and how OpenText solutions have been instrumental in improving our operational efficiency and security, ultimately leading to substantial cost savings." "As generative AI moves on from the initial hype, the work to ensure a measurable return on investment begins," said Darryl Gray, Global Vice President of Software Partner Solutions at SAP. "SAP is committed to creating an enterprise AI ecosystem for the future that complements our world-class business applications suite and helps our customers unlock their full potential. We support the vision behind OpenText's opentext.ai strategy and are confident that OpenText's latest innovations will enable businesses of all sizes and industries to elevate their operations to unimaginable heights." OpenText Aviator enables AI orchestration and the creation of information flows across multiple clouds and knowledge bases allowing organizations to address multiple AI use cases for their enterprise without having to move their data. The latest Cloud Editions release includes: OpenText Aviator for Business OpenText IT Operations Aviator™ is a cutting-edge generative AI virtual agent for OpenText Service Management Automation X (SMAX). The latest integration combines LLMs with OpenText's data security expertise to enhance the user experience, facilitate intuitive self-service, provide faster issue resolution and gain efficiency, ultimately reducing service management costs and improve end-user customer experience. OpenText DevOps Aviator™ revolutionizes software delivery with generative AI capabilities enabling organizations to deliver software at unparalleled velocity. This tool leverages AI to optimize software delivery with feature prediction, enhances test coverage with automatic test creation and authoring, and reduces points of risk that impact quality. OpenText Content Aviator™ optimizes information retrieval in the workplace, making it more efficient and productive. The interactive chat interface and natural language queries enhances user productivity and streamlines content discovery. OpenText Experience Aviator™ integrates Customer Communications Management (CCM) software with generative AI capabilities enabling marketing, communications and customer service support teams to produce well-formed and relevant material faster than ever, boosting development productivity. OpenText Cybersecurity Aviator™ offers AI-enhanced rapid deployment capabilities and cloud-based efficiency to help organizations implement new threat detection models designed to protect users from diverse, sophisticated and evolving threats. OpenText Business Network Aviator™ brings generative AI and large language models (LLMs) into the OpenText Business Network, placing the entire supply chain information flow into a single platform. By utilizing a comprehensive 360-degree perspective of end-to-end supply chain operations and an AI-powered conversational interface, businesses will gain access to information to respond quickly to dynamic and unpredictable market fluctuations and conditions. OpenText Aviator for Technologists OpenText Aviator Platform offers a suite of tools and connectors to administer enterprise-grade data warehouses, data lakes, analytics of structure and unstructured data, and visualization for intelligent decision-making. OpenText Aviator Search introduces a new advanced capability to go from clicks to conversations with search that spans all data types across multiple repositories to build any custom solution, portal, or experience for an enterprise. OpenText Aviator IOT brings forward a collection of tools to better connect and protect millions of IoT endpoints to get real-time insights and visibility into assets location, condition, utilization, performance and health. OpenText Aviator Thrust & Thrust Studio is a set of robust cloud API services and developer tools built over the last three years that can power secure information flows, fuel custom AI solutions, and fast-track new AI-embedded applications. OpenText Aviator Lab is a partnership for experimentation with professional AI experts to help customers accelerate AI development through rapid prototyping, AI reference architectures in a secure sandbox environment.

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LINUX, Android

Sendbird Adds AI-Powered SmartAssistant to Salesforce Connector for Fast and Personalized Support Interactions

PR Newswire | August 25, 2023

Sendbird, the communications API platform powering 4,000 apps and 300 Million monthly users, today announced that its enterprise Salesforce Connector has entered General Availability (GA), delivering efficiency-driving enhancements for customer service teams. This release adds a host of new features, including the Sendbird SmartAssistant, a first-of-its-kind, conversational AI solution. As part of Sendbird's leading communications platform, Salesforce Connector empowers any business to extend Salesforce Service Cloud capabilities to deliver an exceptional live chat support experience to customers. Now, with Sendbird SmartAssistant, a customizable, no-code generative AI chatbot is readily available to integrate into companies' support workflows. Conversations become richer and more rewarding directly within an organization's mobile app. Salesforce Connector provides superior chat capabilities, such as rich media attachments, image moderation, webhooks, and a customizable end-user experience that can be tailored to companies' specific needs. With integration of the AI chatbot, SmartAssistant, Sendbird now provides even more high-quality responses to support queries. Whether it's answering frequently asked questions or troubleshooting product issues, SmartAssistant for Salesforce Connector ensures helpful and human-like responses throughout the customer support journey. Sendbird's cutting-edge generative AI solution enables users to leverage high-value first-party data for support interactions. Users can now easily create AI knowledge chatbots without the need for OpenAI credentials. This can provide personalized and human-like chatbot conversations to quickly meet customer needs while improving agent efficiency. The new integration builds upon and extends Salesforce Connector's Summarize feature. What was tested conceptually through the beta period is now an essential, valuable part of the Salesforce Connector tool. Summarize is powered by ChatGPT and enables agents to get a comprehensive summary of an entire support chat conversation with a customer in an instant; agents no longer need to read the conversation from the very start to provide the best, immediate support for their users. In addition to SmartAssistant and Summarize, Sendbird also incorporated new Moderation capabilities. Organizations can moderate message content and users from the convenience of a single dashboard. With the supported filters and moderation methods, they can determine the level of suitability of language, images, and other content for their applications using Salesforce Connector. Users also benefit from Auto-Translation, in which Salesforce Connector translates received messages into an agent's preferred language within the case chat. "Salesforce Connector changes the game for customer support," said Sendbird CEO and Co-founder John S. Kim. "Agents have all the tools and answers they need right at their fingertips to solve even the most complex problems with ease. And with SmartAssistant, agents can help more customers than ever before with new levels of personalization and efficiency." With Sendbird Salesforce Connector, organizations get an out-of-the-box solution with seamless, near-instant integration compared to other chat solutions that can take weeks. This translates to faster time to value. Additionally, as a cloud-based solution, the tool is persistently updated with no interruption to the user experience and no management demands on teams. About Sendbird Sendbird, a member company of Born2Global Centre, believes conversations are at the heart of building relationships and getting things done. The company's global conversations platform powers over 7 billion mobile messages and interactions monthly. Industry leaders like Carousell, Traveloka, RedDoorz, Tiket, Rakuten, Viki, AirAsia, TADA, RuangGuru, Ralali, Reddit, and Paytm build with Sendbird chat, voice, video, and livestream APIs to create a differentiated user experience that improves customer retention, conversion, and satisfaction.

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Opera announces that its native browser AI integration surpasses 1 million users

Prnewswire | July 31, 2023

Opera Limited (NASDAQ: OPRA), one of the world's major browser developers and a leading internet consumer brand, today announced that Opera's native browser AI, has reached over 1,000,000 users since recently becoming available to the users of the Opera Browser for Android and Opera Browser for desktop. Opera has moved swiftly to incorporate generative AI into its products since the turn of the year. A collaboration with OpenAI was announced at the end of February, with its popular ChatGPT platform integrated, along with ChatSonic, into the browser's sidebar within a month. Opera has also pioneered its own new AI solutions, such as AI Prompts, which allow users to quickly initiate conversations with generative AI services to shorten or explain articles, generate tweets, or request relevant content based on highlighted text. The announcement of Aria in May marked a bold new step in the company's rapid adoption of AI services. Based on Opera's own "Composer" infrastructure, Aria connects to OpenAI's GPT technology and is enhanced by additional capabilities such as live results from the web. Easily expandable, Composer allows Aria to connect to multiple AI models and in the future will expand by integrating further capacities such as search and AI services powered by Opera's key partners. Aria and AI services in general are key to Opera's strategy going forward, with the company's newly redesigned flagship desktop browser a harbinger of things to come. Rebuilt from the ground up, Opera One – in which Aria is natively integrated – heralds a new era of AI-based browsing. Beyond creating space for existing generative AI tools, the new design is also laying the groundwork for the AI services Opera is planning to unveil in the near future. "As encouraging as the initial adoption of Aria has been, we are equally pleased with the quality of the users' early engagement with the AI tool," said co-CEO Lin Song. "We are also seeing a lift in total time spent, with increased searches and pageviews per session." "While it is still early days, I am thrilled that our users are loving the Aria experience as much as we do," he expanded. "I can't wait for more of our users to try Aria for themselves as we upgrade all of our Desktop user base to Opera One and bring our native browser AI to Opera GX and Opera for iOS soon, making it available on all major platforms." Aria is now available in Opera One, Opera's completely redesigned flagship browser, and in Opera for Android. To use Aria – available in more than 180 countries worldwide, including the EU – users should download Opera for Android or Opera browser for desktop and log in using their Opera account. If they do not have one, they can register here for free. Once done, users simply open the browser, click the Aria icon in the main menu (mobile) or in the sidebar (desktop) and start exploring the new way of browsing, using AI for free. About Opera Opera is a web innovator building on more than 25 years of innovation that started with the Opera web browser. While Opera is leveraging its brand and engaged user base in order to grow and develop new products and services for people who seek a better internet experience, Opera's PC and mobile web browsers, content discovery platform Opera News, and apps dedicated to gaming, Web3 and e-commerce are already the trusted choices of hundreds of millions of active and engaged users. Opera is headquartered in Oslo, Norway, and listed on the NASDAQ Stock Exchange under the "OPRA" ticker symbol. Download and access Opera's products and services from www.opera.com.

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Software

OpenText AI Enables Smarter Organizations

PR Newswire | October 16, 2023

OpenText™ (NASDAQ: OTEX), (TSX: OTEX), the information company, today announced the latest release of its Cloud Editions (CE) 23.4, which includes OpenText Aviator artificial intelligence (AI) capabilities that carry through the company's innovation roadmap. For over a decade, OpenText has been helping organizations manage and secure large complex data sets from IoT and robotics, to natural language processing, to complex systems and generative AI. OpenText Aviator empowers organizations to swiftly act on their data, make sharp decisions and evolve with intelligent tools that learn over time. OpenText Aviator uplevels information automation so organizations can easily make the AI pivot and conquer today's and tomorrow's business challenges. The AI revolution is creating an unprecedented platform shift – one that will transform all industries, all functions, and all roles, said Mark Barrenechea, CEO & CTO of OpenText. OpenText has been developing AI capabilities for over a decade, and OpenText Aviators is an AI breakthrough for customers. OpenText Aviator will help customers massively increase productivity through new conversation interfaces leveraging Information Management data sets and language models. The demand for and adoption of AI technologies continues to grow at record speed. According to IDC, global AI IT spending will surpass $308 billion by 2026. In response to this rapidly growing demand and market potential, OpenText introduced its opentext.ai vision and strategy for AI focused on helping organizations power and protect traditional operational and experience data while anticipating a new layer of learning data from generative AI and large language models (LLMS). Grounded in layering LLMs on top of private, secured data, opentext.ai allows for a full stack or modular approach to practical AI. Organizations can take advantage of LLM-based capabilities within applications, or they can utilize OpenText Cloud API Services to create the right sandbox to experiment with. "From upstream and renewables to trading and transport to marketing and manufacturing, we keep goods and people moving. We span 160 markets, serve about 32 million people a day at 46,000 branded retail sites and work with more than 1 million business customers. We have been the No.1 global lubricants supplier for 16 consecutive years and offer our customers a strong portfolio of energy solutions they need today and tomorrow. AI is key to maintaining our performance in these areas whilst we play a key role in the energy transition and help our customers decarbonize their businesses in the journey to net zero," said Jonathan Cullender, Head of Integration at Shell. "We are excited to take the stage with OpenText in Las Vegas to explore the game-changing capabilities of AI within the energy sector and how OpenText solutions have been instrumental in improving our operational efficiency and security, ultimately leading to substantial cost savings." "As generative AI moves on from the initial hype, the work to ensure a measurable return on investment begins," said Darryl Gray, Global Vice President of Software Partner Solutions at SAP. "SAP is committed to creating an enterprise AI ecosystem for the future that complements our world-class business applications suite and helps our customers unlock their full potential. We support the vision behind OpenText's opentext.ai strategy and are confident that OpenText's latest innovations will enable businesses of all sizes and industries to elevate their operations to unimaginable heights." OpenText Aviator enables AI orchestration and the creation of information flows across multiple clouds and knowledge bases allowing organizations to address multiple AI use cases for their enterprise without having to move their data. The latest Cloud Editions release includes: OpenText Aviator for Business OpenText IT Operations Aviator™ is a cutting-edge generative AI virtual agent for OpenText Service Management Automation X (SMAX). The latest integration combines LLMs with OpenText's data security expertise to enhance the user experience, facilitate intuitive self-service, provide faster issue resolution and gain efficiency, ultimately reducing service management costs and improve end-user customer experience. OpenText DevOps Aviator™ revolutionizes software delivery with generative AI capabilities enabling organizations to deliver software at unparalleled velocity. This tool leverages AI to optimize software delivery with feature prediction, enhances test coverage with automatic test creation and authoring, and reduces points of risk that impact quality. OpenText Content Aviator™ optimizes information retrieval in the workplace, making it more efficient and productive. The interactive chat interface and natural language queries enhances user productivity and streamlines content discovery. OpenText Experience Aviator™ integrates Customer Communications Management (CCM) software with generative AI capabilities enabling marketing, communications and customer service support teams to produce well-formed and relevant material faster than ever, boosting development productivity. OpenText Cybersecurity Aviator™ offers AI-enhanced rapid deployment capabilities and cloud-based efficiency to help organizations implement new threat detection models designed to protect users from diverse, sophisticated and evolving threats. OpenText Business Network Aviator™ brings generative AI and large language models (LLMs) into the OpenText Business Network, placing the entire supply chain information flow into a single platform. By utilizing a comprehensive 360-degree perspective of end-to-end supply chain operations and an AI-powered conversational interface, businesses will gain access to information to respond quickly to dynamic and unpredictable market fluctuations and conditions. OpenText Aviator for Technologists OpenText Aviator Platform offers a suite of tools and connectors to administer enterprise-grade data warehouses, data lakes, analytics of structure and unstructured data, and visualization for intelligent decision-making. OpenText Aviator Search introduces a new advanced capability to go from clicks to conversations with search that spans all data types across multiple repositories to build any custom solution, portal, or experience for an enterprise. OpenText Aviator IOT brings forward a collection of tools to better connect and protect millions of IoT endpoints to get real-time insights and visibility into assets location, condition, utilization, performance and health. OpenText Aviator Thrust & Thrust Studio is a set of robust cloud API services and developer tools built over the last three years that can power secure information flows, fuel custom AI solutions, and fast-track new AI-embedded applications. OpenText Aviator Lab is a partnership for experimentation with professional AI experts to help customers accelerate AI development through rapid prototyping, AI reference architectures in a secure sandbox environment.

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LINUX, Android

Sendbird Adds AI-Powered SmartAssistant to Salesforce Connector for Fast and Personalized Support Interactions

PR Newswire | August 25, 2023

Sendbird, the communications API platform powering 4,000 apps and 300 Million monthly users, today announced that its enterprise Salesforce Connector has entered General Availability (GA), delivering efficiency-driving enhancements for customer service teams. This release adds a host of new features, including the Sendbird SmartAssistant, a first-of-its-kind, conversational AI solution. As part of Sendbird's leading communications platform, Salesforce Connector empowers any business to extend Salesforce Service Cloud capabilities to deliver an exceptional live chat support experience to customers. Now, with Sendbird SmartAssistant, a customizable, no-code generative AI chatbot is readily available to integrate into companies' support workflows. Conversations become richer and more rewarding directly within an organization's mobile app. Salesforce Connector provides superior chat capabilities, such as rich media attachments, image moderation, webhooks, and a customizable end-user experience that can be tailored to companies' specific needs. With integration of the AI chatbot, SmartAssistant, Sendbird now provides even more high-quality responses to support queries. Whether it's answering frequently asked questions or troubleshooting product issues, SmartAssistant for Salesforce Connector ensures helpful and human-like responses throughout the customer support journey. Sendbird's cutting-edge generative AI solution enables users to leverage high-value first-party data for support interactions. Users can now easily create AI knowledge chatbots without the need for OpenAI credentials. This can provide personalized and human-like chatbot conversations to quickly meet customer needs while improving agent efficiency. The new integration builds upon and extends Salesforce Connector's Summarize feature. What was tested conceptually through the beta period is now an essential, valuable part of the Salesforce Connector tool. Summarize is powered by ChatGPT and enables agents to get a comprehensive summary of an entire support chat conversation with a customer in an instant; agents no longer need to read the conversation from the very start to provide the best, immediate support for their users. In addition to SmartAssistant and Summarize, Sendbird also incorporated new Moderation capabilities. Organizations can moderate message content and users from the convenience of a single dashboard. With the supported filters and moderation methods, they can determine the level of suitability of language, images, and other content for their applications using Salesforce Connector. Users also benefit from Auto-Translation, in which Salesforce Connector translates received messages into an agent's preferred language within the case chat. "Salesforce Connector changes the game for customer support," said Sendbird CEO and Co-founder John S. Kim. "Agents have all the tools and answers they need right at their fingertips to solve even the most complex problems with ease. And with SmartAssistant, agents can help more customers than ever before with new levels of personalization and efficiency." With Sendbird Salesforce Connector, organizations get an out-of-the-box solution with seamless, near-instant integration compared to other chat solutions that can take weeks. This translates to faster time to value. Additionally, as a cloud-based solution, the tool is persistently updated with no interruption to the user experience and no management demands on teams. About Sendbird Sendbird, a member company of Born2Global Centre, believes conversations are at the heart of building relationships and getting things done. The company's global conversations platform powers over 7 billion mobile messages and interactions monthly. Industry leaders like Carousell, Traveloka, RedDoorz, Tiket, Rakuten, Viki, AirAsia, TADA, RuangGuru, Ralali, Reddit, and Paytm build with Sendbird chat, voice, video, and livestream APIs to create a differentiated user experience that improves customer retention, conversion, and satisfaction.

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General AI, Software, Future Tech

Opera announces that its native browser AI integration surpasses 1 million users

Prnewswire | July 31, 2023

Opera Limited (NASDAQ: OPRA), one of the world's major browser developers and a leading internet consumer brand, today announced that Opera's native browser AI, has reached over 1,000,000 users since recently becoming available to the users of the Opera Browser for Android and Opera Browser for desktop. Opera has moved swiftly to incorporate generative AI into its products since the turn of the year. A collaboration with OpenAI was announced at the end of February, with its popular ChatGPT platform integrated, along with ChatSonic, into the browser's sidebar within a month. Opera has also pioneered its own new AI solutions, such as AI Prompts, which allow users to quickly initiate conversations with generative AI services to shorten or explain articles, generate tweets, or request relevant content based on highlighted text. The announcement of Aria in May marked a bold new step in the company's rapid adoption of AI services. Based on Opera's own "Composer" infrastructure, Aria connects to OpenAI's GPT technology and is enhanced by additional capabilities such as live results from the web. Easily expandable, Composer allows Aria to connect to multiple AI models and in the future will expand by integrating further capacities such as search and AI services powered by Opera's key partners. Aria and AI services in general are key to Opera's strategy going forward, with the company's newly redesigned flagship desktop browser a harbinger of things to come. Rebuilt from the ground up, Opera One – in which Aria is natively integrated – heralds a new era of AI-based browsing. Beyond creating space for existing generative AI tools, the new design is also laying the groundwork for the AI services Opera is planning to unveil in the near future. "As encouraging as the initial adoption of Aria has been, we are equally pleased with the quality of the users' early engagement with the AI tool," said co-CEO Lin Song. "We are also seeing a lift in total time spent, with increased searches and pageviews per session." "While it is still early days, I am thrilled that our users are loving the Aria experience as much as we do," he expanded. "I can't wait for more of our users to try Aria for themselves as we upgrade all of our Desktop user base to Opera One and bring our native browser AI to Opera GX and Opera for iOS soon, making it available on all major platforms." Aria is now available in Opera One, Opera's completely redesigned flagship browser, and in Opera for Android. To use Aria – available in more than 180 countries worldwide, including the EU – users should download Opera for Android or Opera browser for desktop and log in using their Opera account. If they do not have one, they can register here for free. Once done, users simply open the browser, click the Aria icon in the main menu (mobile) or in the sidebar (desktop) and start exploring the new way of browsing, using AI for free. About Opera Opera is a web innovator building on more than 25 years of innovation that started with the Opera web browser. While Opera is leveraging its brand and engaged user base in order to grow and develop new products and services for people who seek a better internet experience, Opera's PC and mobile web browsers, content discovery platform Opera News, and apps dedicated to gaming, Web3 and e-commerce are already the trusted choices of hundreds of millions of active and engaged users. Opera is headquartered in Oslo, Norway, and listed on the NASDAQ Stock Exchange under the "OPRA" ticker symbol. Download and access Opera's products and services from www.opera.com.

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Events