Tesla: an underdog to the most powerful business mogul in the US



  • Tesla was officially founded in 2003 with the goal of inventing an electric car that was powerful and beautiful with zero emissions.

  • Eberhard and Tarpenning asked to meet Musk to share their idea of the electric car with him.

  • Tesla, as part of its secret to success, continues to focus on creating electric cars and making EV powertrain systems and components.


Tesla has been reigning supreme in the media spotlight since 2013 along with its CEO Elon Musk, when it unleashed its flagship car the Model S. Hailed as one of the few successful independent automakers along with being a pioneer when it comes to the electric car market, Tesla is not an overnight success (contrary to popular belief).

The origin of Tesla dates back in 1990. The company was founded in 2003 by two Silicon Valley engineers Martin Eberhard and Marc Tarpenning, who, according to the company website, “wanted to prove that electric cars could be better than gasoline-powered cars.

After a while, Eberhard and Tarpenning's bromance blossomed into a business relationship. They started doing consulting together for disk-drive companies, working from cafés with some embryonic forms of mobile computing - early cellphones, laptops, PalmPilots.
Aside from common interest, they shared a passion for starting companies, resulting in the launch of companies including NuvoMedia, which released the Rocket eBook in 1998. Then came the passion for autos when Eberhard went through a divorce and decided to buy a sports car.

Founders of Tesla meet Elon Musk

In 2001, Eberhard and Tarpenning met Elon Musk when they heard him speak at a Mars Society talk at Stanford University and introduced themselves. Luckily, Musk had a successful history of starting up companies. He along with Peter Thiel and Max Levchin were co-founders of PayPal. After making a fortune from his shares in PayPal, which he sold to eBay in 2002, musk launched another company Space X – a designer and manufacturer of advanced rockets and spacecraft.

A few years later their paths crossed again when Eberhard and Tarpenning asked to meet Musk to share their idea of the electric car with him. The three met to discuss the idea with Musk on board.

Tesla was officially founded in 2003 with the goal of inventing an electric car that was powerful and beautiful with zero emissions. Other co-founders were JB Straubel who is still the CTO at Tesla and Ian Wright who left Tesla in 2004 and founded another company Wrightspeed.

Elon Musk joins Tesla

Elon Musk has become the face of Tesla and is at times mistaken as the company’s founder or co-founder. Musk is a South African-born Canadian-American who was trained as an engineer. He earned a dual bachelor of science in Physics and Economics from the University of Pennsylvania.

Elon Musk is an entrepreneur and inventor at heart. In 1995, Musk enrolled in Stanford's Applied Physics Ph D program but dropped out in order to focus on his business efforts in the renewable energy and outer space arena.

With his early fortune from PayPal, Musk founded his third company SpaceX, an outer-space exploration company. After a meeting and pitch with Eberhard and Tarpenning, Musk came on board Tesla as the chair of the company’s board of directors, and played a key role in helping the company raise money. The company’s investors included friends and family, and a litany of VC firms including Valor Equity Partners.

“When a true genius appears in the world, you may know him by this sign, that the dunces are all in confederacy against him.”

– Enrique Dans, Leadership Strategy, Forbes


In the years between 2004 and 2008, Tesla continued to grow and develop its first automobile, The Roadster. The company opened its manufacturing plant in Fremont, CA, a 5.5 million square feet factory that used to be owned by Toyota and General Motors. The factory is known as Nummi which includes two paint facilities, a 1.5 miles of assembly lines.

Musk became the company’s CEO in 2008 and product architect, positions he still holds. That same year Tesla launched its first car and sports car the Roadster. "It is not just a car, but one of the strongest automotive statements on the road,” Car and Driver wrote. The Executive Summary for The Roadster reveals that the company has always been focused on the mechanics of the car as much as the design. “High performance” as defined in the executive summary included going from 0-60mph in less than 3.9 seconds, and zero maintenance for up to 100,000 miles other than tires.

Learn more:- ELON MUSK’S SYMBIOTIC MARKETING INTELLIGENCE

Tesla’s Success

Tesla, as part of its secret to success, continues to focus on creating electric cars and making EV powertrain systems and components. The company has a network of 80 stores and galleries across North America, Europe and Asia and over 100 charging stations in the US.
One of the company’s key to success has been focusing on one product at a time. And while Tesla continues to focus on making the Model S, it’s rolling out new models in an effort to expand its customer base. New models in the pipeline include the Model X SUV, which started production in early 2015.

In order to move with the changing times, Tesla has tried to launch new product that aim to target a wider range of consumers. In the pipeline is also the Model E a cheaper version of the Model S, which will come in at under $40,000.

“The cars nonetheless did a perfect service. From the audience perspective they didn't have a problem. Anybody who got into one of those cars had their opinion of electric cars instantly changed.”

- Martin Eberhard


In an effort to stay competitive in the niche market, Tesla Motors has expanded its manufacturing footprint in The Netherlands and Lathrop, California. To keep costs down on lithium ion battery packs, Tesla and key strategic partners including Panasonic started building a gigafactory in Nevada that will facilitate the production of a mass-market affordable vehicle, Model 3, according to the company’s website.

The electric car market is growing with luxury auto makers such as Mercedes Benz and BMW jumping into the space too. Analysts forecast that the total global sales of electric vehicles was 320,000 units in 2014, which is on pace to easily exceed 500,000 in 2015. That said, Tesla’s long term success is anyone’s guess. Tesla is aiming to selling 500,000 cars by 2020 but in December 2014, Morgan Stanley’s auto analyst Adam Jonas predicted that the company would fall short by 40%. Jonas has reportedly said that the goal is unrealistic and unachievable.

Learn more: - Tesla's success proves that what America needs is business, business, and more business

Conclusion

Since its inception, Tesla Motors has continuously grown and transitioned from a start-up to an established key industry player. Perhaps, what remains the same is its extraordinary story and how it paved the way for electronic cars and became a pioneer in the automotive industry.

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Friction to Flow: Solutions for Addressing IDE Challenges

Article | August 23, 2023

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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Neural Networks

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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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. 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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Empowering Industry 4.0 with Artificial Intelligence

Article | February 12, 2020

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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Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses.

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"Phantom" Images on the road haunt Tesla's Autopilot Systems

Tesla | February 04, 2020

Researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign and trick systems into believing that they are legitimate. On the scale of level 0 (no automation) to level 5 (full automation), these autopilot systems are considered “level 2” automation. Configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue. Research has shown that a two-dimensional image of a person projected on a Tesla Model X's autopilot system caused it to slow down. The autopilot system, which is also used by other popular cars, confused it for a real physical being. Phantom Images explained.. The research has found that these autopilot systems can be fooled into detecting fake images, projected by drones on the road or surrounding billboards. It has warned that this flaw can prove fatal as attackers could misuse this system flaw to trigger the systems to brake or steer cars into oncoming traffic lanes. Similarly, projecting fake lane lines also leads the Model X to temporarily ignore the road's physical lane lines. The crossover of fake and real lane lines would follow the artificial lane markers into the wrong traffic lane, as the projections were brighter than the real-life markers. “When projecting images on vertical surfaces (as we did in the case with the drone) the projection is very simple and does not require any specific effort. When projecting images on horizontal surfaces (e.g., the man projected on the road), we had to morph the image so it will look straight by the car’s camera since we projected the image from the side of the road. We also brightened the image in order to make it more detectable since a real road does not reflect light so well.” - Ben Nassi, Researcher, Ben-Gurion University of the Negev The advanced driving assistance systems (ADAS), which are used by semi-autonomous vehicles to help the vehicle driver while driving or parking are the origins of this issue. ADAS systems are designed to increase driver safety by detecting and reacting to obstacles on the road. However, researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign; use a projector to transmit the phantom within the autopilots’ range of detection; and trick systems into believing that they are legitimate. “The absence of deployed vehicular communication systems, which prevents the advanced driving assistance systems (ADASs) and autopilots of semi/fully autonomous cars to validate their virtual perception regarding the physical environment surrounding the car with a third party, has been exploited in various attacks suggested by researchers.” - Research Team, Ben-Gurion University of the Negev. The researchers also showed how Tesla Model X can be caused to brake suddenly by projecting a phantom image, perceived as a person, in front of the car. Mobileye's 630 Pro technology also proved easily confused by projected imagery. Notably, Mobileye's traffic sign recognition system was fooled into relaying incorrect speed limit information to the driver due to its inability to distinguish between projected and physical speed limit signage. READ MORE: TESLA: AN UNDERDOG TO THE MOST POWERFUL BUSINESS MOGUL IN THE US What does Tesla have to say? Of course, they were not available to comment. The researchers, though said that they are in touch with both Tesla and Mobileye regarding the issue. Mobileye has said, that the phantom attacks did not stem from an actual vulnerability in the system, researchers revealed. On the other hand, Tesla told the researchers, “We cannot provide any comment on the sort of behavior you would experience after doing manual modifications to the internal configuration – or any other characteristic, or physical part for that matter – of your vehicle.” The research has responded saying, that they did not influence the behavior that led the car to steer into the lane of oncoming traffic or suddenly put on the brakes after detecting a phantom. They have excluded this demonstration from the research paper, as Tesla’s stop sign recognition system is experimental and is not considered a deployed functionality. The research team has suggested that configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue as it would provide better detection around phantom images. READ MORE: TESLA'S DISRUPTIVE SUCCESS IN COMPETITIVE CAR-MAKING AND HOW IT CAN AIRLIFT BOEING Truth be told.. The research findings are disturbing. On the scale of level 0 (no automation) to level 5 (full automation), these two systems are considered “level 2” automation. It is a clear indication that semi-autonomous autopilot systems still require human intervention. Though the phantom attacks are not security vulnerabilities, researchers have said that they reflect a fundamental flaw of models that detect objects that were not trained to distinguish between real and fake objects. Connected cars have been the target of hackers for a long time. Vehicle-related attacks have stemmed from keyless entry systems to in-vehicle infotainment systems. This study confirms that autopilot systems and other advanced driver-assist features are here to make the driving experience safer, but do not replace the act of driving or human interference altogether.

Read More

Video showcases Tesla’s Autopilot software preventing an accident

July 25, 2016

esla’s Autopilot software has been in the news quite a bit lately, albeit for all the wrong reasons. When word broke that a Model S with Autopilot engaged was involved.

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Tesla’s Autopilot software will remain in beta until it logs a billion miles

July 11, 2016

When Tesla’s Autopilot software works well, it’s truly a remarkable experience and a prime example of advanced technology fundamentally changing the way we live.

Read More

"Phantom" Images on the road haunt Tesla's Autopilot Systems

Tesla | February 04, 2020

Researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign and trick systems into believing that they are legitimate. On the scale of level 0 (no automation) to level 5 (full automation), these autopilot systems are considered “level 2” automation. Configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue. Research has shown that a two-dimensional image of a person projected on a Tesla Model X's autopilot system caused it to slow down. The autopilot system, which is also used by other popular cars, confused it for a real physical being. Phantom Images explained.. The research has found that these autopilot systems can be fooled into detecting fake images, projected by drones on the road or surrounding billboards. It has warned that this flaw can prove fatal as attackers could misuse this system flaw to trigger the systems to brake or steer cars into oncoming traffic lanes. Similarly, projecting fake lane lines also leads the Model X to temporarily ignore the road's physical lane lines. The crossover of fake and real lane lines would follow the artificial lane markers into the wrong traffic lane, as the projections were brighter than the real-life markers. “When projecting images on vertical surfaces (as we did in the case with the drone) the projection is very simple and does not require any specific effort. When projecting images on horizontal surfaces (e.g., the man projected on the road), we had to morph the image so it will look straight by the car’s camera since we projected the image from the side of the road. We also brightened the image in order to make it more detectable since a real road does not reflect light so well.” - Ben Nassi, Researcher, Ben-Gurion University of the Negev The advanced driving assistance systems (ADAS), which are used by semi-autonomous vehicles to help the vehicle driver while driving or parking are the origins of this issue. ADAS systems are designed to increase driver safety by detecting and reacting to obstacles on the road. However, researchers said that they were able to create “phantom” images purporting to be an obstacle, lane or road sign; use a projector to transmit the phantom within the autopilots’ range of detection; and trick systems into believing that they are legitimate. “The absence of deployed vehicular communication systems, which prevents the advanced driving assistance systems (ADASs) and autopilots of semi/fully autonomous cars to validate their virtual perception regarding the physical environment surrounding the car with a third party, has been exploited in various attacks suggested by researchers.” - Research Team, Ben-Gurion University of the Negev. The researchers also showed how Tesla Model X can be caused to brake suddenly by projecting a phantom image, perceived as a person, in front of the car. Mobileye's 630 Pro technology also proved easily confused by projected imagery. Notably, Mobileye's traffic sign recognition system was fooled into relaying incorrect speed limit information to the driver due to its inability to distinguish between projected and physical speed limit signage. READ MORE: TESLA: AN UNDERDOG TO THE MOST POWERFUL BUSINESS MOGUL IN THE US What does Tesla have to say? Of course, they were not available to comment. The researchers, though said that they are in touch with both Tesla and Mobileye regarding the issue. Mobileye has said, that the phantom attacks did not stem from an actual vulnerability in the system, researchers revealed. On the other hand, Tesla told the researchers, “We cannot provide any comment on the sort of behavior you would experience after doing manual modifications to the internal configuration – or any other characteristic, or physical part for that matter – of your vehicle.” The research has responded saying, that they did not influence the behavior that led the car to steer into the lane of oncoming traffic or suddenly put on the brakes after detecting a phantom. They have excluded this demonstration from the research paper, as Tesla’s stop sign recognition system is experimental and is not considered a deployed functionality. The research team has suggested that configuring ADAS systems so that they take into account objects’ context, reflected light, and surface would help mitigate the issue as it would provide better detection around phantom images. READ MORE: TESLA'S DISRUPTIVE SUCCESS IN COMPETITIVE CAR-MAKING AND HOW IT CAN AIRLIFT BOEING Truth be told.. The research findings are disturbing. On the scale of level 0 (no automation) to level 5 (full automation), these two systems are considered “level 2” automation. It is a clear indication that semi-autonomous autopilot systems still require human intervention. Though the phantom attacks are not security vulnerabilities, researchers have said that they reflect a fundamental flaw of models that detect objects that were not trained to distinguish between real and fake objects. Connected cars have been the target of hackers for a long time. Vehicle-related attacks have stemmed from keyless entry systems to in-vehicle infotainment systems. This study confirms that autopilot systems and other advanced driver-assist features are here to make the driving experience safer, but do not replace the act of driving or human interference altogether.

Read More

Video showcases Tesla’s Autopilot software preventing an accident

July 25, 2016

esla’s Autopilot software has been in the news quite a bit lately, albeit for all the wrong reasons. When word broke that a Model S with Autopilot engaged was involved.

Read More

Tesla’s Autopilot software will remain in beta until it logs a billion miles

July 11, 2016

When Tesla’s Autopilot software works well, it’s truly a remarkable experience and a prime example of advanced technology fundamentally changing the way we live.

Read More

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