Tag: edge computing

  • Dell Brings DevOps to Edge Computing Environments

    Dell Brings DevOps to Edge Computing Environments

    Dell Technologies today updated its edge computing platform this week to make it simpler to programmatically provision infrastructure using DevOps best practices.

    Phil Burt, senior director of project management for edge computing at Dell Technologies, said version 2.0 of Dell NativeEdge adds additional declarative blueprints based on YAML files and the Topology and Orchestration Specification for Cloud Applications (TOSCA) framework.

    Blueprints for Telit, Litmus and PTC for manufacturing use cases, Deep North for retail, Dell Streaming Data Platform for analytics and Rancher Labs K3s for Kubernetes environments are provided.

    Those blueprints make it simpler to either deploy applications on a lightweight operating system that Dell developed optimized for edge computing platforms or any other software stack an IT organization may prefer, he added.

    Dell is also adding support for the virtual Trusted Platform Module (vTPM) and UEFI Secure Boot capabilities to apply zero-trust IT principles to edge computing platforms using hardware-based cryptography and secure storage for encryption keys, certificates and passwords.

    Finally, Dell is also making available a three-year subscription plan for NativeEdge to lower the total cost of deploying edge computing platforms.

    Dell relies on virtual machines it developed for edge computing platforms to deliver software. IT teams can then opt to deploy monolithic applications or container-based applications running on an instance of Kubernetes deployed as an extension of the virtual machine provided by Dell. Those platforms can then also automatically connect to a network to provide the connectivity required.

    Regardless of approach, Dell is providing a method to programmatically orchestrate the management of highly distributed edge computing environments, noted Burt.

    In the longer term, Dell is also researching how to apply generative artificial intelligence (AI) to the management of edge computing environments using the data its monitoring tools provide, he added.

    While edge computing has been around in one form or another for decades, as more organizations start to process and analyze data at the point where it is created and consumed, the number of applications deployed at the network edge has increased substantially. As such, the number of applications that need to be built and deployed at the edge using DevOps best practices is growing exponentially. In fact, managing those workloads is only going to become that much more challenging as more AI models are deployed at the network edge.

    Of course, not every workload at the edge is managed by an IT team. For years, many organizations have relied on operational technology (OT) teams that have historically deployed applications at the network using manual processes. Organizations that embrace DevOps practices to automate the deployment of workloads at the edge will naturally have to navigate some cultural issues alongside the technical challenges encountered when programmatically deploying software.

    It’s not clear how much software will be running at the network edge in the years ahead, but as the capabilities of the IT infrastructure made available continue to increase, so will the complexity of the applications that will be deployed. The challenge, as always, is going to be finding the best way to manage all that distributed software at what will soon be an unprecedented level of scale.

  • Configuration-as-Code: Trends and Predictions for 2024

    Configuration-as-Code: Trends and Predictions for 2024

    Configuration-as-code, often abbreviated as CaC, is an innovative approach to managing and provisioning computing resources. It refers to the practice of handling changes, deployments and updates to software and systems via code rather than manual processes. CaC allows for a version-controlled, reproducible and automated method of managing environments, leading to more consistent and reliable systems.

    The essence of configuration-as-code is to treat system configurations the same way that software code is treated. This means that configurations are written in a code format, stored in a version control system and applied through automated processes. This approach brings several benefits, including consistency, repeatability and the ability to test changes before applying them to live environments.

    This concept is not just a theoretical approach but rather a practical tool for managing modern digital infrastructure. It’s a key component of DevOps practices, enabling teams to move faster while maintaining control and minimizing the risk of operational issues. Configuration-as-code is a critical tool for managing complex systems and achieving the highest levels of operational efficiency and reliability.

    The Evolution of CaC in Recent Years

    Over the past several years, configuration-as-code has grown from a niche concept into a mainstream practice adopted by many leading technology companies. This evolution has been driven by several factors, including the increasing complexity of digital systems, the rise of cloud computing and the broader adoption of DevOps practices.

    In the early days, system configurations were often managed manually or through ad-hoc scripts. This approach was prone to errors, hard to scale and lacked visibility into changes. As systems grew more complex, the need for a more robust, scalable, and reliable method of managing configurations became apparent. This led to the creation of configuration-as-code.

    The rise of cloud computing has been a significant driver in the adoption of configuration-as-code. With cloud platforms, resources can be provisioned and managed via APIs, making it possible to handle configurations through code. This has allowed for much greater scalability and flexibility enabling companies to manage large, complex environments more effectively.

    The adoption of DevOps practices and increasingly mature automation frameworks have also contributed to the growth of Configuration as Code. As infrastructure-as-code (IaC) becomes the norm, CaC is becoming a staple of modern DevOps practices.

    Trends in Configuration-as-Code for 2024

    Looking ahead to 2024, several trends are likely to shape the future of configuration-as-code:

    Increased Adoption of Cloud-Native Environments

    As more companies adopt cloud-native technologies, the use of configuration-as-code is set to increase. Cloud-native environments are inherently dynamic and complex, making them an ideal fit for configuration-as-code. With CaC, teams can manage these environments more effectively, ensuring consistency, scalability, and reliability. Cloud-native technologies like Kubernetes and Docker also natively support configuration-as-code, making it easier for teams to adopt this approach.

    Use of AI and Machine Learning in Configuration Management

    Artificial intelligence and machine learning are set to play a significant role in the future of configuration management. With AI and ML, teams can automate even more aspects of configuration management, reducing the risk of human errors and freeing up time for more valuable tasks. For example, AI could be used to predict the impact of configuration changes, while machine learning could help automate the process of optimizing configurations for performance and cost efficiency.

    Shift Toward Immutable Infrastructure

    Immutable infrastructure means that servers are never modified after they’re deployed. Instead, any changes are made by deploying a new server with the desired configuration. This approach reduces the risk of configuration drift and ensures a consistent environment. Configuration-as-code is a key enabler of immutable infrastructure, making it easier to manage and deploy servers in a repeatable, automated way.

    Collaboration and Democratization of CaC

    Finally, the trend towards collaboration and democratization in technology will also influence configuration-as-code. With CaC, configurations become more visible and accessible, allowing for greater collaboration between teams. This can lead to better decision-making, less siloed working, and improved overall outcomes. At the same time, configuration-as-code also enables democratization by making it easier for non-technical stakeholders to understand and participate in configuration management.

    Predictions for Configuration-as-Code in 2024

    CaC is Becoming a Cornerstone in the DevSecOps Approach

    The integration of development, security and operations—commonly known as DevSecOps—aims to embed security practices into the DevOps process. As we look towards 2024, configuration-as-code is set to become a cornerstone in the DevSecOps approach.

    By treating infrastructure as code, teams can apply the same security practices they use for application code to their infrastructure. This includes performing code reviews, using automated testing, and tracking changes to the environment. With configuration-as-code, security can shift left—being considered earlier in the development process—leading to more secure systems.

    Moreover, configuration-as-code can help bridge the gap between security and operations teams. It allows for a shared language and shared tools, fostering better collaboration and communication.

    Growth of CaC-as-a-Service

    Configuration-as-code-as-a-service is an emerging trend that is set to grow significantly by 2024. This approach allows businesses to outsource configuration management to a specialist third party, which uses configuration-as-code to automate the process. Cloud-based configuration management solutions provide advanced capabilities such as secrets management, centralized configuration management and orchestrated workflows.

    Version Control Features Specifically Designed for CaC

    Version control systems are a key component of configuration-as-code. They allow teams to track changes to their environment, revert back to previous versions if necessary, and collaborate more effectively. In 2024, we can expect to see the evolution of version control systems with features specifically designed for CaC.

    These features might include support for infrastructure-specific languages and better integration with infrastructure tools. Version control tools might also introduce improved support for collaborative configuration workflows, making it easier for teams to work together on infrastructure configuration.

    Increased Role of CaC in Managing Edge Computing Environments

    As we move into 2024, we can expect to see an increased role for configuration-as-code in managing edge computing environments. Edge computing is rapidly growing due to its ability to bring computation and data storage closer to the location where it is needed, improving response times and saving bandwidth.

    With the rise of edge computing, managing these environments becomes increasingly complex. CaC can automate the process of setting up and maintaining these environments, reducing human error and increasing efficiency. This also allows for consistency across different environments, leading to more reliable systems.

    In conclusion, the future of configuration-as-code looks promising. As we move towards 2024, we can expect to see an increased role for CaC in managing edge computing environments, its evolution as a cornerstone in the DevSecOps approach, the growth of CaC-as-a-Service, and the evolution of version control systems specifically designed for CaC. These developments promise to bring about greater efficiency, security and collaboration in the realm of infrastructure management.

  • DevOps Strategies for Connected Car Development

    DevOps Strategies for Connected Car Development

    The concept of smart, connected vehicles is no longer science fiction but a day-to-day reality. These vehicles, empowered by internet connectivity and a suite of digital technologies, offer unprecedented convenience, safety and entertainment features. 

    But as the cars on our roads become smarter and more interconnected, the complexity of developing their software systems multiplies. DevOps is emerging as an indispensable strategy for organizations in the connected car industry, bringing together software development and IT operations to streamline, optimize and accelerate the development life cycle. 

    This article briefly reviews connected car technology and explores several DevOps strategies that can support connected car development. We’ll discuss how DevOps can manage the complexity of automotive software, accelerate development speed without compromising safety and provide the essential tools for efficient building, testing and deployment in a highly regulated environment.

    What Are Connected Cars?

    Connected cars are vehicles equipped with internet access, allowing them to share data with devices both inside and outside the car. Essentially, they offer a multitude of features that make the driving experience more convenient, safe and enjoyable. While this technology is still in its nascent stages, it’s rapidly evolving, and soon, connected cars will become a staple on our roads.

    These hyper-connected vehicles are part of a broader ecosystem that encompasses a network of physical objects—everything from other vehicles and traffic lights to pedestrian crosswalks and parking spaces—all connected by technology.

    The potential of connected cars is immense. They promise to transform our lives in numerous ways, from reducing traffic congestion to improving road safety and revolutionizing the way we travel.

    Key Features and Systems of Connected Cars

    Infotainment Systems

    An integral part of connected cars is the infotainment system. This comprehensive system provides both entertainment and information tailored to the driver’s needs. From navigation and music streaming to voice commands and hands-free phone calls, these systems are designed to enhance the driving experience while ensuring safety.

    Infotainment systems also offer a wide range of services, such as real-time traffic updates, weather forecasts, and points of interest. They can connect with a smartphone, allowing users to access apps, make calls and send messages without taking their eyes off the road.

    Telematics

    Telematics uses GPS and onboard diagnostics to record and transmit data about the car’s performance, location and usage. It allows for real-time tracking of the vehicle, making it particularly useful in fleet management and stolen vehicle recovery.

    Telematics data can also be used to assess driver behavior, monitor fuel efficiency, and predict maintenance needs. For instance, if the car’s engine starts showing signs of trouble, the telematics system can alert the driver and recommend a nearby service center.

    Advanced Driver-Assistance Systems (ADAS)

    Advanced driver-assistance systems (ADAS) are systems that help the driver in the driving process. These systems use sensors, cameras and radar to monitor the vehicle’s surroundings and assist the driver in various ways.

    ADAS can provide features like adaptive cruise control, lane-keeping assist and automatic emergency braking. These systems not only enhance driver comfort but also significantly improve road safety by reducing the risk of accidents.

    Vehicle-to-Everything (V2X) Communication

    Vehicle-to-everything (V2X) communication is a key technology in connected cars. It enables vehicles to communicate with any entity that may affect the vehicle and vice versa. This includes other vehicles (V2V), infrastructure (V2I), pedestrians (V2P) and networks (V2N).

    V2X communication can improve traffic flow, reduce accidents and enhance fuel efficiency. For instance, connected cars can receive information about road conditions, traffic jams or accidents ahead in real-time, allowing the driver to take appropriate action.

    Over-the-Air (OTA) Updates

    Over-the-air (OTA) updates are another key feature of connected cars. Similar to how you receive updates on your smartphone, OTA updates allow car manufacturers to update software, fix bugs or add new features remotely.

    OTA updates can improve vehicle performance, enhance security and extend the vehicle’s lifespan. They can also add new functionality, allowing the car to stay up-to-date with the latest technology without the need for a physical visit to a service center.

    Why DevOps is Essential for Connected Car Development

    Addressing the Complexity of Car Software Systems

    The connected car is a complex ecosystem of software systems. These vehicles have numerous systems that communicate with each other, the driver and the outside world. Managing the development of these systems can be a daunting task, and this is where DevOps strategies come in.

    DevOps aims to shorten the system development life cycle and provide continuous delivery with high software quality. This methodology is particularly suited to the complex software systems of connected cars, as it encourages a holistic view of the development process, ensuring that all components work together seamlessly.

    Moreover, DevOps helps to manage the complexity of car software systems by automating tasks, reducing errors and improving efficiency. The use of automated tools for configuration management, deployment and monitoring means less manual work, fewer mistakes, and quicker problem resolution.

    Enhancing Development Speed Without Compromising Safety

    One of the greatest challenges in connected car development is the need for speed. In this fast-paced industry, companies are under pressure to develop and deploy new features quickly to stay competitive. However, this must not come at the expense of safety, as any faults in the system can have dire consequences.

    With DevOps strategies for connected car development, it’s possible to enhance speed without compromising safety. The DevOps approach emphasizes a culture of rapid and frequent deployments, coupled with rigorous testing to ensure quality. By integrating development and operations, it enables teams to work together more effectively, leading to faster development cycles.

    Furthermore, the use of automation in DevOps allows for quicker detection and resolution of issues. Automated testing tools can run thousands of tests in a fraction of the time it would take a human, ensuring that any faults are identified and fixed before they can cause harm.

    Building, Testing and Deploying Efficiently in a Regulated Environment

    The automotive industry is heavily regulated, with strict safety and emission standards that must be met. These regulations add an extra layer of complexity to the development process, as they must be considered at every stage of design, testing, and deployment.

    DevOps strategies for connected car development are well-equipped to handle this challenge. By implementing a continuous integration/continuous deployment (CI/CD) pipeline, teams can ensure that all changes are tested and validated against regulatory requirements before they are deployed. This not only ensures compliance but also saves time and resources by preventing issues from reaching production.

    Additionally, DevOps encourages transparency and visibility across the development process, making it easier to demonstrate compliance to regulators. Through the use of version control systems, every change can be tracked and traced, providing a clear audit trail.

    DevOps Strategies for Connected Car Development

    Version Control for Connected Car Development

    In any software development project, version control is vital. It allows developers to track and manage changes to their code, making it easier to collaborate and preventing conflicts. In the context of connected car development, version control becomes even more critical due to the complex and interconnected nature of automotive software systems.

    Version control enables multiple teams to collaborate on projects without stepping on each other’s toes, using techniques like branching and merging. Furthermore, version control systems provide a history of changes, which is invaluable for debugging and understanding how the system has evolved over time. This can be particularly useful in a regulated industry like automotive, where there may be a need to provide an audit trail.

    Continuous Integration and Continuous Deployment (CI/CD)

    CI/CD is a core DevOps practice that involves integrating changes to the project regularly and automatically testing those changes to detect and fix problems early. The aim is to provide rapid feedback so that if a defect is introduced into the code base, it can be identified and corrected as soon as possible.

    For connected car development, a robust CI/CD pipeline is essential. It allows for fast-paced development without compromising quality or safety. By automating the build, testing and deployment processes, teams can ensure that new features and updates are delivered quickly and reliably.

    Automated Testing and Quality Assurance

    Given the complexity of connected car systems and the potential consequences of a malfunction, rigorous testing is of paramount importance. However, manual testing is time-consuming and prone to error. That’s where automated testing comes in.

    Automated testing is another key DevOps strategy for connected car development. By writing test scripts that can be run automatically, teams can save time, reduce the likelihood of human error and ensure comprehensive coverage of the system.

    Moreover, automated testing tools can be integrated into the CI/CD pipeline, allowing tests to be run every time changes are made. This provides immediate feedback on the impact of those changes and ensures that any issues are identified and addressed as early as possible.

    Infrastructure-as-Code (IaC) for Connected Car Environments

    The final piece of the DevOps puzzle is infrastructure-as-code (IaC). IaC is the practice of managing and provisioning computing infrastructure through machine-readable definition files rather than physical hardware configuration or interactive configuration tools.

    In the context of connected car development, IaC can be a powerful tool. It allows teams to create and manage their development, testing and production environments in a consistent and repeatable way. This not only enhances efficiency but also ensures that the environments are configured correctly and securely.

    Moreover, by using IaC, teams can automate the creation and teardown of environments, saving time and reducing the risk of human error. IaC also supports version control, enabling teams to track changes and roll back to a previous state if something goes wrong.

    Conclusion

    In conclusion, connected cars represent a significant advancement in the automotive industry, but they also bring a host of development challenges. By adopting DevOps strategies for connected car development, companies can navigate these challenges and unlock the full potential of this exciting technology. From managing complex software systems to ensuring rapid and safe development, DevOps offers a robust and flexible approach that is tailored to the needs of the connected car industry.

  • VMware Looks to GitOps to Drive Edge Computing

    VMware Looks to GitOps to Drive Edge Computing

    At its VMware Explore 2023 event, VMware today unveiled an orchestration tool, dubbed VMware Edge, that promises to simplify the management of edge computing services at scale.

    At the same time, VMware has launched a Project Keswick initiative through which it will work with customers to define additional use cases for VMware Edge based on zero-trust principles and GitOps workflows for deploying applications. The company also unveiled a VMware Retail Edge platform based on VMware Edge and is planning to add additional offerings aimed at specific vertical industry segments.

    Finally, VMware is making available a managed connectivity service through which it will provide private 4G/5G wireless services.

    VMware Edge Cloud Orchestrator is based on a tool that VMware created to orchestrate the management of its secure access service edge (SASE) platform. That has now been extended to support a wider range of software running on edge computing platforms.

    Sanjay Uppal, senior vice president and general manager of service provider and edge for VMware, said the goal is to streamline the management of software-defined edge computing platforms via a single console. Achieving that goal requires the ability to identify and programmatically manage workloads distributed across a mix of networks, he added.

    VMware is betting that as more workloads are distributed to edge computing platforms, there will be a greater need to centralize the management of workloads running on platforms that are not always easy to physically access. Less clear, however, is to what degree those edge computing platforms will be managed by IT teams versus operational technology (OT) teams that are usually embedded within a department that manages a specific business process.

    However, regardless of who manages those platforms, they will be relying more on GitOps workflows to programmatically provision infrastructure and deploy applications that will need to be regularly updated. In fact, because these platforms are often dispersed across hundreds of physical locations, the need for a pull-based orchestration tool that works asynchronously is critical, said Uppal.

    In the longer term, IT teams should also expect artificial intelligence (AI) capabilities to be applied in a way that makes edge computing self-healing, he added.

    No one can say exactly how many organizations have adopted GitOps to manage the provisioning of both infrastructure and the delivery of applications, but it’s conceivable that edge computing will force the issue. The tricky part will be finding a way to manage those GitOps workflows at the necessary level of scale. Most DevOps teams already struggle with implementing DevOps workflows at scale, so if more workloads are to be distributed across hundreds of edge computing platforms, there will be a much more acute need for automation to consistently deploy, secure and update applications.

    Regardless of approach, however, there may come a day when the number of workloads deployed at the edge far outnumbers the number of workloads deployed in the cloud or in a data center. The challenge and the opportunity now is to get ahead of edge computing issues before they inevitably create a set of management issues that will be more difficult to address after applications have already been deployed.

  • A DevOps Guide to IoT Technology

    A DevOps Guide to IoT Technology

    Internet-of-things (IoT) is a term used to describe the network of physical devices—from everyday household items to sophisticated industrial tools—connected to the internet, sharing and collecting data. With the advent of cheap computer chips and the ubiquity of wireless networks, it’s possible to make anything a part of the IoT. Add to that the exponential growth in artificial intelligence and machine learning, and the IoT is a truly significant part of our lives.

    The IoT allows devices to communicate and interact over the internet, and they can be remotely monitored and controlled using technologies many of us have never heard of, such as MQTT, QUIC and AMQP. The proliferation of these devices has led to an exponential increase in the amount of data we can gather, analyze and use to make more informed decisions. We’ve already seen the transformative potential of IoT in our homes, workplaces and cities, and it’s only set to increase as more and more devices come online.

    At the heart of this technology is the concept of seamless connectivity and communication. However, the rapid development and deployment of IoT devices pose significant challenges. This is where the DevOps approach comes in, offering a solution to these challenges by improving efficiency and effectiveness in the development and operation of IoT systems.

    Importance of DevOps in IoT Development and Deployment

    In the context of IoT, DevOps is crucial. IoT devices are often deployed in the field, in homes or in other environments where physical access is difficult or impossible. As such, the ability to update and manage these devices remotely is a critical necessity. DevOps methodologies enable this remote management, providing mechanisms for continuous integration and continuous delivery (CI/CD) that make it possible to push updates to devices regularly and reliably.

    Moreover, given the pace at which IoT technology is advancing, it’s crucial to be able to adapt quickly to changes and new developments. In this regard, DevOps is invaluable. By bringing together development and operations, it allows for more agile response to changes, faster issue resolution and overall better performance.

    The Role of DevOps in IoT

    Speeding Up IoT Development Cycles

    One of the key benefits of using a DevOps approach in IoT development is the ability to speed up development cycles. With traditional development practices, the time between identifying a requirement or an issue and implementing a solution can be lengthy. In contrast, DevOps practices, such as continuous integration and continuous delivery, enable rapid prototyping, development, testing and deployment of new features and updates.

    With the DevOps approach, developers and operations teams work together from the beginning of a project, collaborating closely to ensure that the software being developed is robust, reliable and meets the needs of the business. This cooperative approach, combined with automated testing and deployment processes, significantly reduces the time to market for new features and updates.

    Ensuring High-Quality, Reliable IoT Applications

    Another significant advantage of utilizing DevOps in IoT development is the increased quality and reliability of the applications being developed. With traditional software development methods, testing and quality assurance often occur after the development process. This can lead to issues being identified late in the cycle, which can be costly and time-consuming to fix.

    On the other hand, DevOps practices emphasize continuous testing throughout the development process. This means that issues can be identified and addressed much earlier, leading to higher-quality, more reliable software. In the context of IoT, where devices may be deployed in critical applications such as health care or transportation, the importance of this cannot be overstated.

    Enabling Scalability and Flexibility in IoT Systems

    Finally, DevOps plays a crucial role in enabling the scalability and flexibility of IoT systems. As the number of IoT devices continues to grow exponentially, the ability to manage and monitor these devices efficiently is becoming increasingly important. DevOps practices, such as infrastructure as code (IaC) and the use of containers and microservices, provide the tools necessary to scale and adapt IoT systems as needed.

    With IaC, the infrastructure required to run an IoT application is defined and managed as code, making it easy to replicate and scale. Containers and microservices, on the other hand, allow applications to be broken down into smaller, independent components that can be scaled individually, providing a high level of flexibility and efficiency.

    Implementing DevOps in IoT Development

    Integrating CI/CD in IoT Application Development

    Continuous integration/continuous delivery (CI/CD) is a fundamental DevOps practice that plays a vital role in IoT development. It involves automating the processes of software delivery and infrastructure changes. With CI, developers frequently merge their code changes into a central repository where automated builds and tests are run. CD takes this a step further by automating the release of these changes to the production environment.

    For IoT, integrating CI/CD can help maintain the quality of software, increase efficiency, and speed up the process of delivering software updates or new features to devices. It also ensures that any changes made can be easily rolled back, reducing the impact of any potential issues.

    Applying IaC for IoT Infrastructure Management

    Infrastructure-as-code (IaC) is another key DevOps practice that is highly relevant to IoT. IaC is the process of managing and provisioning computing infrastructure through machine-readable definition files rather than physical hardware configuration or interactive configuration tools.

    In the context of IoT, IaC can simplify the process of setting up and managing the complex infrastructure required for IoT applications. With IaC, developers can quickly and reliably replicate infrastructure setups, making it easier to scale IoT applications as the number of connected devices grows.

    Using Containers and Microservices in IoT Application Architecture

    Containers and microservices are two more DevOps practices that can significantly benefit IoT development. A container is a standalone executable package that includes everything needed to run an application, including the code, runtime, system tools, system libraries and settings. Microservices is an architectural style that structures an application as a collection of small, loosely coupled services.

    In the context of IoT, using containers and microservices can greatly simplify the process of developing, testing and deploying IoT applications. Moreover, they can enhance the scalability and flexibility of IoT systems, making it easier to adapt to changing requirements and scale as the number of connected devices grows.

    Challenges of Implementing DevOps for IoT and How to Overcome Them

    Dealing with Device and Platform Diversity

    One of the main challenges in implementing DevOps for IoT is dealing with the diversity of devices and platforms. IoT devices can range from simple sensors to complex machines, each with its own capabilities, requirements and operating systems. Moreover, these devices may communicate using different protocols and have different connectivity requirements.

    The key to addressing this diversity is to adopt a platform-agnostic approach. This involves developing software that can run on any device, regardless of its hardware or operating system. Containerization can help achieve this by providing a consistent and reproducible environment for running applications.

    Ensuring IoT Security and Privacy

    Security and privacy are significant concerns in IoT, and they can be particularly challenging in a DevOps context. The increased frequency of updates and changes that come with the DevOps approach can potentially introduce new vulnerabilities. Moreover, the interconnected nature of IoT devices means that a security breach can have far-reaching consequences.

    To address these challenges, it’s essential to integrate security practices into the DevOps process. This is often referred to as DevSecOps. This approach involves continuously monitoring and testing for security vulnerabilities throughout the development process rather than treating security as an afterthought.

    Managing IoT Data Volume and Complexity

    The sheer volume and complexity of data generated by IoT devices can also pose a challenge in a DevOps context. Traditional data management and analysis tools may not be able to handle this volume and complexity.

    To tackle this, it’s important to utilize modern data management solutions that can handle large volumes of data. Additionally, employing advanced analytics and machine learning techniques can help make sense of complex data and extract valuable insights.

    Coordinating IoT System Updates and Maintenance

    Finally, coordinating updates and maintenance for a large number of IoT devices can be a significant challenge. This is particularly true in a DevOps context, where updates and changes are frequent.

    To address this, it’s crucial to have a robust system for managing and tracking updates. Automated deployment tools can be invaluable in this regard, allowing updates to be pushed out to devices in a controlled and coordinated manner.

    Conclusion

    In conclusion, implementing DevOps in IoT development can bring significant benefits, including faster development cycles, higher-quality, reliable applications and improved scalability and flexibility. However, it also presents unique challenges that need to be effectively addressed. By understanding and properly implementing the principles and practices of DevOps, we can harness the full potential of IoT technology and drive forward innovation.

  • Linux Tweak Brings Big Speedup ¦ DCs in SPAAACE (Redux) ¦ Atlassian Fires 500

    Linux Tweak Brings Big Speedup ¦ DCs in SPAAACE (Redux) ¦ Atlassian Fires 500

    Welcome to The Long View—where we peruse the news of the week and strip it to the essentials. Let’s work out what really matters.

    This week: Intel optimizes Linux multithreaded networking, data centers in space (again), and more DevOps toolmaker layoffs. (more…)

  • How SASE Can Ease DevSecOps Adoption

    How SASE Can Ease DevSecOps Adoption

    DevSecOps is a software development methodology that merges development (Dev), security (Sec) and operations (Ops) into one team that integrates security throughout the entire software development life cycle (SDLC). The goal is to deliver high-quality applications quickly and securely.

    The traditional software development life cycle introduces security in the late phases of the SDLC. However, this approach cannot protect against sophisticated cybersecurity attacks. Today’s cybersecurity landscape requires shorter, frequent iterations to quickly patch and fix security issues. DevSecOps integrates security into the continuous integration and continuous delivery (CI/CD) pipeline to ensure teams can address pressing security issues at DevOps speed. 

    Many organizations are enthusiastically adopting DevSecOps but, in the process, discover they don’t have the necessary infrastructure. DevSecOps requires smooth global collaboration between teams and requires that security controls are built into the IT environment. This is where SASE comes in.  

    What is Secure Access Service Edge (SASE)?

    Secure access service edge (SASE) is a network security model that provides network connectivity with security based on identity, real-time security context and corporate security policies. It is aligned with the zero-trust security paradigm, ensuring that connections are denied by default unless a verified identity has permission to access a specific application, service or edge location. 

    SASE unifies networking and security functions into one fully integrated service delivered in the cloud. SASE includes several technologies: software-defined wide area networking (SD-WAN), secure web gateway (SWG), cloud access security broker (CASB), next-generation firewall (NGFW) and zero-trust network access (ZTNA).

    A key benefit of SASE is enhanced network security. SASE services enhance network security with a granular approach to network protection, detecting and blocking network attacks such as distributed denial of service (DDoS) attacks, man-in-the-middle (MitM) attacks, phishing, email spoofing and malware with deep security scans. 

    Additional benefits of SASE include: 

    • Lower cost compared to traditional networks because SASE includes fewer on-premises hardware components and features previously purchased from multiple vendors. 
    • Easier maintenance because it provides one pane of glass that allows IT teams to manage all applications and users wherever they are. 

    Components of SASE

    Cloud-access Security Broker (CASB)

    CASB acts as a bridge between users/devices and cloud applications. It allows organizations to apply security policies, two-factor authentication and single sign-on to all cloud applications, preventing unauthorized devices and individuals from accessing sensitive assets and denying access by default.

    Zero-Trust Network Access (ZTNA)

    ZTNA ensures that users or devices have explicit permission to access applications or resources. It is a critical component of a zero-trust security architecture, ensuring that internal, private applications are hidden from users who should not have access to them. It also enables secure remote access through layered authentication. ZTNA provides flexible security to meet modern security requirements.

    Software-Defined Wide-Area Networking (SD-WAN)

    SD-WAN is a connectivity architecture that separates network hardware from the physical control layer. It improves network performance by enhancing and simplifying WAN performance and management. SD-WAN supports modern, cloud-based applications and services while reducing connectivity costs. Combining SD-WAN with advanced security features provides a foundation for enterprises to transition to SASE.

    Secure Web Gateways (SWG)

    SWG protects online devices from malware infection, enforces corporate security policies and filters unwanted websites in user-initiated internet traffic. SWG provides URL filtering, application control, DLP, antivirus, sandboxing and SSL inspection. All these capabilities protect users from harmful websites and enforce security policies while ensuring full web access and promoting productivity.

    Firewall-as-a-Service (FWaaS)

    FWaaS is a firewall solution delivered as a cloud-based service. It provides hyperscale next-generation firewall (NGFW) features, including web filtering, advanced threat protection (ATP), intrusion prevention systems (IPS) and domain name system (DNS) security. By integrating FWaaS into the SASE platform, organizations can provide a wide range of cybersecurity capabilities at the edge.

    Centralized and Unified Management

    The modern SASE platform enables IT administrators to manage SD-WAN, SWG, CASB, FWaaS and ZTNA with centralized, unified management across networks and environments. This allows IT team members to focus on more pressing areas and improves the user experience for the organization’s mixed workforce.

    How SASE Will Impact DevSecOps and Security in Organizations

    SASE can help secure internal interactions and applications. As a result, the burden on DevSecOps teams is reduced. DevOps teams can use zero-trust network access (ZTNA) to further secure the applications running on SD-WAN. These technologies keep all interactions between endpoints and applications secure.

    The SASE model can also help protect mission-critical applications and sensitive data that cannot run on the public internet. To protect these assets, SASE obfuscates traffic, restricts access with a zero-trust architecture, and secures all network entry points with NGFW. It continuously evaluates application traffic for security threats.

    Facilitating Collaboration 

    DevOps teams are focused on time-to-market and are constantly working to accelerate the CI/CD pipeline. They need to collaborate remotely over a reliable and secure connection. DevOps teams are also working to reduce their reliance on network and security teams. The SASE model helps address these problems.

    SASE helps reduce collaboration issues by unifying WAN and network security. SASE solutions provide optimized performance and strong security, so DevOps teams don’t depend on infrastructure staff to provision resources. It gives teams full control over operations without compromising performance or security.

    Providing Built-In Security

    SASE offers the basic network security features required to secure a DevOps project. This allows teams to integrate different security mechanisms into their networking stack, with all security services sharing an integration context. This plugs the gaps in traditional security architecture often exploited by attackers and protects applications from threats.

    Improving Incident Response

    SASE can immediately block various attack vectors with security controls embedded in the network fabric, supporting the incident response team’s efforts. SASE increases visibility into behavioral anomalies and security incidents in a hybrid environment.

    Integrating SASE solutions into a security information and event management (SIEM) system allows incident responders to gain greater visibility into traffic anomalies and the automated security actions taken by the SASE tools. SASE features like NGFW, SWG, IPS and anti-malware might already contain or eliminate many incidents.

    Providing More Reliable Infrastructure 

    DevOps teams need fast, reliable application performance. SASE offers integrated load balancing and failover capabilities that can significantly improve the network’s overall performance. 

    The SASE architecture can connect all the edge devices, remote users, data centers and cloud resources to a secure, self-healing, fully optimized global network. If a circuit fails or the path becomes congested, the fabric can automatically switch to an alternate path.

    Conclusion

    In this article, I introduced DevSecOps and showed how SASE, a modern platform that provides fast network connectivity and security at the edge, can support its adoption. DevOps teams can use SASE security components to secure applications across on-premises data centers and clouds. SASE can encrypt and inspect traffic to protect it from threats, ensuring that workloads, users, and development systems are secure by default. 

    With SASE, DevSecOps teams have the infrastructure they need to secure the environment and can focus on integrating security tests and remediations into the development life cycle.