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Strategic Approaches to DevOps Issue Detection and Tracking

Article | September 15, 2023

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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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. HackerOne 5.2. Teamwork 5.3. Embrace 5.4. Instabug 5.5. Nulab 5.6. Sonar 5.7. LogicMonitor 5.8. JetBrains 5.9. Perforce Software 5.10. Sentry 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 Security and Collaboration 5.1. HackerOne Being the frontrunner in human-powered security, HackerOne outperforms cybercriminals, employing human ingenuity to identify the most critical security vulnerabilities across any attack surface. Integrating cutting-edge artificial intelligence with innovative human intelligence, HackerOne's Attack Resistance Platform mitigates risk throughout the software development lifecycle. Facilitating the identification of novel and illusive vulnerabilities via bug bounties ensures that organizations meet compliance requirements through penetration testing. HackerOne's elite community of ethical hackers empowers businesses to transform themselves confidently. 5.2. Teamwork Teamwork provides a platform that combines user-friendly project administration with industry-leading client operations, which teams adore. It helps you deliver work on time and budget, eliminate client chaos, and understand profitability all in one platform. It provides a single solution for all client operations challenges. Delivering profitable projects, streamlining client operations, and delighting clients help optimize the recurring revenue from retainers. Teamwork.com integrates all the tools a company uses, hence making the company more accessible to manage all in one place. 5.3. Embrace The organization develops and defines a performance management platform for mobile applications that aid in the detection and resolution of any user-impacting problems that may arise within the applications. The mobile environment presents mobile teams with a singular challenge:they must now consider the infinite variety of user and environmental variables across millions of autonomous devices. Embraceliberates the value by ingesting one hundred percent of the time-based technical and user behavior session data.With the help of Embrace, product and engineeringteamshave access to real-time observability while marketing and BI benefit from automated analysis of transformed and usable datasets. 5.4. Instabug Instabug provides a mobile application performance monitoring (APM) platform, offering advanced services that enhance app performance and user experience. It features efficient bug and crash reporting systems, which help quickly identify and resolve app issues, ensuring stability and user trust. With a robust infrastructure supporting over two billion devices, Instabug ensures scalability and reliability. Its simple SDK integration and full visual reproduction tailored for mobile app development challenges make it an essential tool for developers focused on optimizing app functionality and user satisfaction. 5.5. Nulab Nulab is an expanding software company that provides teams of all sizes with online collaboration tools. It places a premium on forward-thinking, collaboration, and trust as an organization to unite groups through technology securely. Its platform provides project management, version control, and bug tracking. Providing Integrated tools to support collaboration at every stage helps in tracking real-time progress. Nulab provides solutions from UX & DEsign to marketing and Quality assurance to plan and strategize beforehand. 5.6. Sonar One of the DevOps security providers, Sonar's market-leading solution empowers development teams and developers to write clean code and automatically remediate existing code, allowing them to concentrate on their favorite tasks and increase the value they deliver to organizations. Its commercial and open-source solutions are compatible with thirty programming languages. SonarLint is a complimentary IDE extension that preventscoding errors. SonarCloud provides straightforward resolution guidance for any Code Quality or Security issue it detects and integrates with existing cloud-based CI/CD workflows. SonarQube is the preeminent instrument developed teams utilize to audit their codebases' code quality and security in real-time and provide direction during code reviews. 5.7. LogicMonitor LogicMonitor's developments demonstrate the company's dedication to a unified monitoring experience based on layered intelligence and hybrid observability. These innovations aim to proactively enhance IT infrastructure and avert issues through quick-to-deploy, SaaS-based automated tools for infrastructure, applications, and business services, focusing on innovation and reducing remediation. A notable advancement is integrating Airbrake error monitoring with LogicMonitor, enabling streamlined usage of both platforms via a single interface. The combined capabilities of LogicMonitor and Airbrake improve visibility and control in IT environment monitoring and management, marking substantial progress in IT operations optimization. 5.8. JetBrains JetBrains core is coding, with its mission to create the most robust and efficient developer tools available. Its tools accelerate production by automating routine checks and corrections, allowing developers more time to develop, explore, and innovate. Regardless of the size of any team, its products provide a seamless experience throughout the process of code development, work planning, and collaboration. YouTrack, a developer tool of JetBrains, is a project management tool that helps deliver efficient products, use agile boards, assist in planning sprints and releases, maintain a strong knowledge base, work with reports and dashboards, and create workflows that follow business processes. 5.9. Perforce Software Perforce Software is an industry leader in DevOps and development solutions that are scalable and optimized to facilitate intelligent testing, dynamic growth, boundaryless collaboration, and risk management. It collaborates with businesses to reduce risk and accelerate time to market in environments where failure has a high cost. Its global specialists provide companies in various industries like automotive, semiconductor, financial services, game development, virtual production, and amusement. Its primary objective is to facilitate solutions that enable its clients to generate innovations rapidly and on a large scale. Perforce is mainly concerned with scalable DevOps by eliminating obstacles to collaboration and productivity. 5.10. Sentry Sentry's performance monitoring eliminates the need for developers to speculate to identify the source of application performance bottlenecks. Rather than delving into performance metrics, Sentry provides the precise lines of code that impede the performance of applications, allowing us to locate the underlying cause. It helps enable notifications before most businesses' users are impacted by performance issues to identify, designate, and resolve within the workflow. It consolidates runtime errors and mobile application malfunction reporting into a single view and provides a real-time, comprehensive assessment of the application's health. By associating errors with releases, identifiers, and devices, one can efficiently resolve issues, reduce customer attrition, and enhance user retention. 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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Software, Low-Code App Development, Application Development Platform

Empowering Industry 4.0 with Artificial Intelligence

Article | July 3, 2023

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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How Artificial Intelligence Is Transforming Businesses

Article | February 12, 2020

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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SafeNet

At SafeNet we accelerate value creation and help our clients gain competitive advantage by enabling new organizational capabilities, developing new and modernizing existing products and services, and by empowering business and IT to optimize organizational performance. SafeNet consultants value passion, authenticity, collaboration and trust.

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BMC Software Announces AIOps in BMC Helix for AI-Optimized IT Ops

BMC Software | November 06, 2023

BMC Software's new AIOps capabilities in BMC Helix Operations Management use AI for quick IT issue resolution. The solution boosts IT operations in hybrid, multi-cloud environments, enhancing visibility and service performance. New features like service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting expedite incident resolution and risk recovery. BMC Software, a global leader in IT solutions, announces new AIOps capabilities for its BMC Helix Operations Management solution using the BMC HelixGPT capability. The solution uses advanced AI to find problems' root causes more quickly. It changes the way IT works by adding dynamic service modeling, situation explainability, and deep container auto-detection to better understand containerized environments. As businesses grapple with complex hybrid, multi-cloud environments and increasing data volume and complexity, the need for advanced AI and machine learning to drive visibility, observability, and optimum business service performance is paramount. Nancy Gohring, research director for IDC's Enterprise System Management, Observability and AIOps program, emphasized the importance of modernizing IT operations in line with the adoption of hybrid and cloud-native technologies. AIOps capabilities that leverage AI to pinpoint problem causes, guide users to the correct response, and predict potential future issues are key to ensuring service delivery aligns with business outcomes. The BMC Helix Operations Management solution combines advanced causal AI to identify issue root causes, predictive AI for proactive problem identification and resolution, and generative AI for automating event summaries and best action recommendations for complex problems. These innovations enable IT operations to deliver higher service availability and resilience to businesses, driving efficient operational performance with greater tool silo visibility and superior AI-driven insights for significantly improved problem identification and repair times. The new BMC Helix Operations Management innovations include out-of-the-box service blueprints, situation explainability powered by causal AI, and AIOps situation fingerprinting powered by AI, GPT, and NLP. These features ensure accurate service models in ever-changing IT environments, swift incident resolution, and faster recovery from service outages and other potential risks. While the new AIOps capabilities in BMC's Helix Operations Management solution offer a host of benefits, they also present potential challenges. The complexity of AI systems can lead to difficulties in understanding and controlling their operations, which could pose challenges in troubleshooting and rectifying issues. Additionally, the heavy reliance on AI might reduce the level of human oversight in IT operations, which could be risky in certain scenarios. The effectiveness of the solution is also heavily dependent on the quality and quantity of data it receives, which might not always be optimal in real-world scenarios. On the brighter side, the benefits of this solution are substantial. The use of advanced AI capabilities allows for swift identification and resolution of IT issues, greatly improving operational efficiency. The solution's ability to enhance IT operations in complex hybrid, multi-cloud environments is a significant advantage, as it provides much-needed visibility and service performance. The new features, including out-of-the-box service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting, ensure swift incident resolution and faster recovery from potential risks. These innovations lead to higher service availability and resilience, which are crucial for businesses in today's digital age. Overall, despite some potential challenges, the BMC Helix Operations Management solution's new AIOps capabilities present a promising advancement in the field of IT operations management.

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AI Tech

CGI and Google expand partnership to drive industry-specific innovation in the responsible use of generative AI

PR Newswire | November 03, 2023

CGI (NYSE: GIB) (TSX: GIB.A) today announced the expansion of the company's partnership with Google to drive innovation in the responsible use of artificial intelligence (AI) technologies. This partnership will help clients accelerate their time-to-value from new generative AI use cases specific to their industries. As part of the agreement, CGI will leverage Google Cloud Platform (Google Cloud) to enhance the capabilities of its CGI PulseAI solution, a hyper-automation and decision engine platform that uses AI and machine learning models to deliver high-performance intelligent process automation. "AI continues to be at the top of discussion agendas with clients around the world seeking trusted advice from CGI for how to responsibly move from AI experimentation to implementation—while accelerating their return on investment," said CGI President and Chief Executive Office George D. Schindler. "Our expanded partnership with Google is one of the key global alliances that will help us develop and deliver new AI-based services and solutions for clients, as well as expanded skills development opportunities for our consultants." Generative AI is fundamentally changing how many businesses operate, fueling a new era of cloud that can benefit virtually every area of an organization, said Thomas Kurian, CEO of Google Cloud. By utilizing Google Cloud's leading GenAI capabilities, CGI can help clients unlock new insights that help them improve operations and productivity. Google's Vertex AI will enable CGI PulseAI to build trusted industry-specific large language models that will enable the development and implementation of unique generative AI use cases for clients. For example, in the financial sector, Google Cloud's trusted data will enable CGI PulseAI to refine a tailored model, called "FinPulseAI," for financial services clients. Likewise, unique models can be developed for other industries, increasing CGI PulseAI's rapid adaptability in meeting the industry-specific needs of clients. For example, CGI plans to explore the use of Google's MedPaLM2 model for transforming medical claims processing and validation. The initiative will merge CGI's deep health sector expertise with Google's advanced AI model to provide enhanced medical claim validation and fraud detection for health clients. Clients will be able to process medical claims faster and with greater accuracy, ensuring that each claim is legitimate and compliant. By harnessing the power of models like MedPaLM2, health providers, researchers, and administrators will have expanded tools that enable better delivery of care while expanding the boundaries of medical science for the benefit of patients and society. Google Cloud's robust, scalable infrastructure also will accelerate clients' implementation of CGI PulseAI services by managing all computing and memory requirements, increasing the solution's customization capabilities and enabling a broader range of solution offerings. With the integration of Google Cloud and CGI PulseAI, clients can better meet today's business demands, as well as predict and address industry challenges before they emerge, helping them stay at the forefront of their industries. CGI will launch Google AI training globally as an addition to the AI curriculum in its "CGI Academia" online university. The two companies also will develop AI sandboxes using Google Cloud technologies to support ongoing AI development in support of the delivery of innovative solutions. CGI's end-to-end capabilities in data science and machine learning, combined with its deep domain knowledge and technology engineering skills, help clients generate new insights, experiences, and business models powered by AI. CGI PulseAI is a trademark of CGI Inc. and its related companies. For more information on the company's AI expertise and offerings, visit cgi.com.

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AI Tech

Jasper expands to become an end-to-end AI copilot for marketing teams

PR Newswire | October 19, 2023

Jasper, an early leader in generative AI tools for businesses, announced today that it is expanding its functionality to become an end-to-end AI copilot for better marketing outcomes. The product release comes exactly one year after Jasper's record-breaking Series A funding and includes new features designed to evolve AI assistance from simply creating content faster to helping marketers perform better. More advanced than writing assistants, AI copilots are personalized to each company and securely combine business context and memory with purpose-built skills for better outcomes. With this new launch, the company will be adding analytics and AI insights for better performing content, an intelligence hub to securely tap into brand, strategy and audience information, and campaign acceleration tools for better collaboration and review processes. This announcement comes on the heels of the company's recent appointment of its new CEO, former Dropbox President Timothy Young, as he leads the company through its next stage of growth with a focus on the enterprise. The enterprise business has accelerated to become the company's fastest growing segment, with the sales team increasing total enterprise ARR by 4x. Analytics and Insights: For better outcomes in addition to faster outputs As part of the release, Jasper announced the addition of analytics and insights to the marketing copilot. Users will be able to see what content is working to drive business goals, get AI recommendations to optimize underperforming content and deploy revisions with the click of a button. The first chapter of AI was all about speed, said Young, CEO of Jasper. Marketers certainly want efficiency, but they also want results. By adding analytics and AI insights into Jasper, we hope to help make the next chapter of AI in the enterprise about speed and performance. Jasper analytics will also surface trends in content performance to highlight opportunities and inform future strategy. The combination of performance reporting, pattern recognition, and accelerated revisions brings a clearer picture of ROI for high-volume marketing teams. "Jasper has long been a cost savings tool," said Young. "With the addition of performance analytics, it becomes a revenue generating one too." Company Intelligence: For content that's shaped by strategy The company also added a central hub to securely store institutional knowledge inside Jasper. Expanding on its capacity to train Jasper on your brand voice and style guide, the addition of the company intelligence hub means that companies will be able to connect to data systems or upload positioning and strategy documents so that content generated through Jasper is better informed and more strategic. In a 2023 study, Jasper found the leading reasons marketers are hesitant to try AI are generic outputs (35%) and inaccuracies (36%). This feature will reduce AI hallucinations with respect to customers' company information and enable them to put strategy, audience research, competitive positioning and other key stances at the epicenter of all marketing content. Through Jasper's new X-ray view, users will be able to see exactly where a piece of content strays from the style guide or brand voice. In addition, because this hub can be easily updated, change management as your company's information and messaging evolves is far simpler and more comprehensive. Campaign Acceleration: For better coordination and faster review cycles Finally, with the release Jasper aims to address the common issue of coordination within enterprise marketing teams. Jasper has taken an AI-native approach to getting a team organized around a project or campaign, bringing campaign management tools like assignments, comments, and scheduling directly into the flow of content production. In addition, in the near future these tools will provide AI summaries of feedback and one-click automation of revisions for even faster review cycles. All of this is meant to reduce the administrative lift that external project management tools require and move through revisions in a more productive way. "Jasper has really helped our marketing team scale digital and social content that build on Morningstar's independent investing research. It's not just about faster content and more of it, but about higher audience engagement," said Steve Bendt, chief marketing officer for Morningstar. "It's been a game changer for social media, where Jasper has helped us build quality content that's driving double-digit growth in content downloads." Greater Enterprise Control: For greater security and better brand integrity everywhere In addition to having SOC2 compliance and key enterprise control measures, Jasper has expanded its extensibility by moving its API to full availability. Customers can use the API to pull on-brand, personalized messaging into any of their platforms. "Jasper has also added Spaces to its administrative tools so administrators can have greater control over user permissions, and users can get a clearer, less cluttered view into their work. By having both private and public spaces inside the copilot, teams can work on content, campaigns in a quiet space or collaborate together depending on their needs. " About Jasper Founded in 2021, Jasper is an AI copilot for marketing teams that want better outcomes in addition to faster outputs. Jasper securely trains on your brand and strategy, accelerates content and campaign production, and helps marketers measure and optimize for performance all as part of an end-to-end copilot. Jasper has been recognized as "one of America's fastest-growing private companies" by Inc. 5000 and was one of the fastest companies to reach 100M+ users. Customers include Sports Illustrated, Anthropologie, SentinelONE, Transcend.io and more. Learn more at jasper.ai.

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Software

BMC Software Announces AIOps in BMC Helix for AI-Optimized IT Ops

BMC Software | November 06, 2023

BMC Software's new AIOps capabilities in BMC Helix Operations Management use AI for quick IT issue resolution. The solution boosts IT operations in hybrid, multi-cloud environments, enhancing visibility and service performance. New features like service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting expedite incident resolution and risk recovery. BMC Software, a global leader in IT solutions, announces new AIOps capabilities for its BMC Helix Operations Management solution using the BMC HelixGPT capability. The solution uses advanced AI to find problems' root causes more quickly. It changes the way IT works by adding dynamic service modeling, situation explainability, and deep container auto-detection to better understand containerized environments. As businesses grapple with complex hybrid, multi-cloud environments and increasing data volume and complexity, the need for advanced AI and machine learning to drive visibility, observability, and optimum business service performance is paramount. Nancy Gohring, research director for IDC's Enterprise System Management, Observability and AIOps program, emphasized the importance of modernizing IT operations in line with the adoption of hybrid and cloud-native technologies. AIOps capabilities that leverage AI to pinpoint problem causes, guide users to the correct response, and predict potential future issues are key to ensuring service delivery aligns with business outcomes. The BMC Helix Operations Management solution combines advanced causal AI to identify issue root causes, predictive AI for proactive problem identification and resolution, and generative AI for automating event summaries and best action recommendations for complex problems. These innovations enable IT operations to deliver higher service availability and resilience to businesses, driving efficient operational performance with greater tool silo visibility and superior AI-driven insights for significantly improved problem identification and repair times. The new BMC Helix Operations Management innovations include out-of-the-box service blueprints, situation explainability powered by causal AI, and AIOps situation fingerprinting powered by AI, GPT, and NLP. These features ensure accurate service models in ever-changing IT environments, swift incident resolution, and faster recovery from service outages and other potential risks. While the new AIOps capabilities in BMC's Helix Operations Management solution offer a host of benefits, they also present potential challenges. The complexity of AI systems can lead to difficulties in understanding and controlling their operations, which could pose challenges in troubleshooting and rectifying issues. Additionally, the heavy reliance on AI might reduce the level of human oversight in IT operations, which could be risky in certain scenarios. The effectiveness of the solution is also heavily dependent on the quality and quantity of data it receives, which might not always be optimal in real-world scenarios. On the brighter side, the benefits of this solution are substantial. The use of advanced AI capabilities allows for swift identification and resolution of IT issues, greatly improving operational efficiency. The solution's ability to enhance IT operations in complex hybrid, multi-cloud environments is a significant advantage, as it provides much-needed visibility and service performance. The new features, including out-of-the-box service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting, ensure swift incident resolution and faster recovery from potential risks. These innovations lead to higher service availability and resilience, which are crucial for businesses in today's digital age. Overall, despite some potential challenges, the BMC Helix Operations Management solution's new AIOps capabilities present a promising advancement in the field of IT operations management.

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AI Tech

CGI and Google expand partnership to drive industry-specific innovation in the responsible use of generative AI

PR Newswire | November 03, 2023

CGI (NYSE: GIB) (TSX: GIB.A) today announced the expansion of the company's partnership with Google to drive innovation in the responsible use of artificial intelligence (AI) technologies. This partnership will help clients accelerate their time-to-value from new generative AI use cases specific to their industries. As part of the agreement, CGI will leverage Google Cloud Platform (Google Cloud) to enhance the capabilities of its CGI PulseAI solution, a hyper-automation and decision engine platform that uses AI and machine learning models to deliver high-performance intelligent process automation. "AI continues to be at the top of discussion agendas with clients around the world seeking trusted advice from CGI for how to responsibly move from AI experimentation to implementation—while accelerating their return on investment," said CGI President and Chief Executive Office George D. Schindler. "Our expanded partnership with Google is one of the key global alliances that will help us develop and deliver new AI-based services and solutions for clients, as well as expanded skills development opportunities for our consultants." Generative AI is fundamentally changing how many businesses operate, fueling a new era of cloud that can benefit virtually every area of an organization, said Thomas Kurian, CEO of Google Cloud. By utilizing Google Cloud's leading GenAI capabilities, CGI can help clients unlock new insights that help them improve operations and productivity. Google's Vertex AI will enable CGI PulseAI to build trusted industry-specific large language models that will enable the development and implementation of unique generative AI use cases for clients. For example, in the financial sector, Google Cloud's trusted data will enable CGI PulseAI to refine a tailored model, called "FinPulseAI," for financial services clients. Likewise, unique models can be developed for other industries, increasing CGI PulseAI's rapid adaptability in meeting the industry-specific needs of clients. For example, CGI plans to explore the use of Google's MedPaLM2 model for transforming medical claims processing and validation. The initiative will merge CGI's deep health sector expertise with Google's advanced AI model to provide enhanced medical claim validation and fraud detection for health clients. Clients will be able to process medical claims faster and with greater accuracy, ensuring that each claim is legitimate and compliant. By harnessing the power of models like MedPaLM2, health providers, researchers, and administrators will have expanded tools that enable better delivery of care while expanding the boundaries of medical science for the benefit of patients and society. Google Cloud's robust, scalable infrastructure also will accelerate clients' implementation of CGI PulseAI services by managing all computing and memory requirements, increasing the solution's customization capabilities and enabling a broader range of solution offerings. With the integration of Google Cloud and CGI PulseAI, clients can better meet today's business demands, as well as predict and address industry challenges before they emerge, helping them stay at the forefront of their industries. CGI will launch Google AI training globally as an addition to the AI curriculum in its "CGI Academia" online university. The two companies also will develop AI sandboxes using Google Cloud technologies to support ongoing AI development in support of the delivery of innovative solutions. CGI's end-to-end capabilities in data science and machine learning, combined with its deep domain knowledge and technology engineering skills, help clients generate new insights, experiences, and business models powered by AI. CGI PulseAI is a trademark of CGI Inc. and its related companies. For more information on the company's AI expertise and offerings, visit cgi.com.

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AI Tech

Jasper expands to become an end-to-end AI copilot for marketing teams

PR Newswire | October 19, 2023

Jasper, an early leader in generative AI tools for businesses, announced today that it is expanding its functionality to become an end-to-end AI copilot for better marketing outcomes. The product release comes exactly one year after Jasper's record-breaking Series A funding and includes new features designed to evolve AI assistance from simply creating content faster to helping marketers perform better. More advanced than writing assistants, AI copilots are personalized to each company and securely combine business context and memory with purpose-built skills for better outcomes. With this new launch, the company will be adding analytics and AI insights for better performing content, an intelligence hub to securely tap into brand, strategy and audience information, and campaign acceleration tools for better collaboration and review processes. This announcement comes on the heels of the company's recent appointment of its new CEO, former Dropbox President Timothy Young, as he leads the company through its next stage of growth with a focus on the enterprise. The enterprise business has accelerated to become the company's fastest growing segment, with the sales team increasing total enterprise ARR by 4x. Analytics and Insights: For better outcomes in addition to faster outputs As part of the release, Jasper announced the addition of analytics and insights to the marketing copilot. Users will be able to see what content is working to drive business goals, get AI recommendations to optimize underperforming content and deploy revisions with the click of a button. The first chapter of AI was all about speed, said Young, CEO of Jasper. Marketers certainly want efficiency, but they also want results. By adding analytics and AI insights into Jasper, we hope to help make the next chapter of AI in the enterprise about speed and performance. Jasper analytics will also surface trends in content performance to highlight opportunities and inform future strategy. The combination of performance reporting, pattern recognition, and accelerated revisions brings a clearer picture of ROI for high-volume marketing teams. "Jasper has long been a cost savings tool," said Young. "With the addition of performance analytics, it becomes a revenue generating one too." Company Intelligence: For content that's shaped by strategy The company also added a central hub to securely store institutional knowledge inside Jasper. Expanding on its capacity to train Jasper on your brand voice and style guide, the addition of the company intelligence hub means that companies will be able to connect to data systems or upload positioning and strategy documents so that content generated through Jasper is better informed and more strategic. In a 2023 study, Jasper found the leading reasons marketers are hesitant to try AI are generic outputs (35%) and inaccuracies (36%). This feature will reduce AI hallucinations with respect to customers' company information and enable them to put strategy, audience research, competitive positioning and other key stances at the epicenter of all marketing content. Through Jasper's new X-ray view, users will be able to see exactly where a piece of content strays from the style guide or brand voice. In addition, because this hub can be easily updated, change management as your company's information and messaging evolves is far simpler and more comprehensive. Campaign Acceleration: For better coordination and faster review cycles Finally, with the release Jasper aims to address the common issue of coordination within enterprise marketing teams. Jasper has taken an AI-native approach to getting a team organized around a project or campaign, bringing campaign management tools like assignments, comments, and scheduling directly into the flow of content production. In addition, in the near future these tools will provide AI summaries of feedback and one-click automation of revisions for even faster review cycles. All of this is meant to reduce the administrative lift that external project management tools require and move through revisions in a more productive way. "Jasper has really helped our marketing team scale digital and social content that build on Morningstar's independent investing research. It's not just about faster content and more of it, but about higher audience engagement," said Steve Bendt, chief marketing officer for Morningstar. "It's been a game changer for social media, where Jasper has helped us build quality content that's driving double-digit growth in content downloads." Greater Enterprise Control: For greater security and better brand integrity everywhere In addition to having SOC2 compliance and key enterprise control measures, Jasper has expanded its extensibility by moving its API to full availability. Customers can use the API to pull on-brand, personalized messaging into any of their platforms. "Jasper has also added Spaces to its administrative tools so administrators can have greater control over user permissions, and users can get a clearer, less cluttered view into their work. By having both private and public spaces inside the copilot, teams can work on content, campaigns in a quiet space or collaborate together depending on their needs. " About Jasper Founded in 2021, Jasper is an AI copilot for marketing teams that want better outcomes in addition to faster outputs. Jasper securely trains on your brand and strategy, accelerates content and campaign production, and helps marketers measure and optimize for performance all as part of an end-to-end copilot. Jasper has been recognized as "one of America's fastest-growing private companies" by Inc. 5000 and was one of the fastest companies to reach 100M+ users. Customers include Sports Illustrated, Anthropologie, SentinelONE, Transcend.io and more. Learn more at jasper.ai.

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