Tag: network infrastructure

  • 5 Capabilities Network Infrastructure Must Have to Support DevOps

    5 Capabilities Network Infrastructure Must Have to Support DevOps

    According to the Accelerate 2019 State of DevOps report, high-performing DevOps organizations achieve over 200 times more frequent deployments and over 2,600 times faster recovery times than low performers. These outcomes have been realized by both forward-leaning organizations such as Amazon, which deploys code every 11.6 seconds, and more traditional enterprises that have been in existence for a long time. For instance, Nordstrom, a well-known American retailer, increased the release frequency for its mobile app from twice per year to monthly.

    Embracing DevOps results in significant advantages, including improved team collaboration, cooperation and productivity. Companies can get digital products, applications and services to market faster because of the higher deployment and release frequency. Because development and operations teams are not operating in silos, unaware of each other’s constraints, there are lower failure rates within production environments. Cooperation leads to faster recovery times when there are issues with deployment.

    To achieve DevOps success, teams must engage in a new approach to network infrastructure, and the network infrastructure must have the following five attributes.

    Automation

    Automating repetitive tasks, such as configuring DNS or a firewall, saves a lot of time and effort. It eliminates manual errors by standardizing deployment and configuration of network infrastructure. Automation can be achieved by using Infrastructure as Code (IaC), which entails using an application programming interface (API) to create, modify and shut down infrastructure. This ensures that a repeatable, consistent configuration can be created. This code can be version-controlled, which serves as a form of documentation—it’s easy to detect what changes were made by whom in case there’s an issue—and rollback to a stable state is quick and easy.

    Standardization puts an end to “It worked in my environment” or “It worked on my machine” as any issues can be easily reproduced, resulting in faster resolution times. Support for IaC tools, such as Terraform, is essential for network infrastructure to advance DevOps practices.

    Continuous Integration/Continuous Delivery (CI/CD)

    CI is a coding best practice wherein code is checked into version control repositories frequently. It provides a consistent and automated way to build, package and test applications. CD picks up where CI ends and deploys applications in an automated fashion in a variety of environments, including production, development, test and sandbox.

    There are a variety of tools, such as Jenkins and Ansible, that DevOps teams use for CI/CD integration. It is imperative for network infrastructure to integrate with these tools to accelerate deployment velocity.

    Elasticity

    DevOps teams spin up and spin down test/development/sandbox environments routinely. Infrastructure may also be needed for short periods to account for seasonality or for handling sudden surges in traffic and demand. DevOps-friendly network infrastructure must be elastic to support these activities.

    Appliance-based vendors who provide network services are not scalable as they impose artificial limits on their usage (such as queries per second or leases per second) and require organizations to anticipate their needs in advance. When there is a need, organizations have to spend time procuring these appliances, waiting to receive them and, finally, deploying and managing them—a very inefficient way to manage demand.

    Support for Containers

    Containers are the foundation for developing cloud-native applications. Containers allow developers to package up application code and all its dependencies, including libraries and other binaries, as well as configuration files needed for running the application. This enables applications to be executed quickly and reliably across a variety of environments.

    Containers provide flexibility and portability of applications across public, private, hybrid cloud and even bare-metal environments. They are lightweight, as all containers share the underlying machine’s OS system kernel. They also lend themselves to greater modularity, which is essential for developing microservices-based applications.

    Instead of a monolithic application consisting of a three-tiered architecture, a microservices-based application consists of several smaller services that perform one function and one function only. It’s easier to scale, easier to manage and faster to develop such applications. Because containers have a small footprint, they are most suited for microservices architecture.

    In order to support containerized applications, network infrastructure must first be compatible with containers. Network infrastructure must be able to configure DNS, allocate IP addresses for containerized applications, route traffic intelligently between containers and balance loads for optimal performance. Network infrastructure must also support Kubernetes, the most widely deployed orchestration platform. To ensure that the needs of DevOps teams are met, it is important to inquire with network services vendors about compatibility with containers and Kubernetes, as many legacy, appliance-based solutions cannot support this technology. 

    Self-Service Access

    To move quickly, development teams may need to configure network infrastructure for test/development/sandbox environments. Having to submit tickets to network operations teams that use legacy appliances for delivering network services significantly slows down application development and deployment. Providing self-service access to network infrastructure, such as firewalls, load balancers, DNS and DHCP for development teams, eliminates the reliance of these teams on network operations teams. Self-service with robust role-based access controls reduces the deployment time and increases efficiency while freeing up network teams for more strategic projects.

    Conclusion

    DevOps attempts to minimize friction in application deployment by providing autonomy to development teams so that they don’t have to rely on network administrators to provide the necessary infrastructure needed for development and testing. But, the move to DevOps requires more than a consolidation of teams.

    Success requires best practices such as automation, CI/CD and self-service access to infrastructure, as well as support for containers and Kubernetes, which are key to building modern, cloud-native applications. Teams that incorporate these capabilities will see increased agility and speed that lead to shorter delivery time, higher-quality applications and improved communication and collaboration throughout a product’s lifecycle.

  • Big DevOps: Too Slow to Win?

    Big DevOps: Too Slow to Win?

    There’s DevOps. And then there’s Big DevOps.

    DevOps is a set of disciplines that accelerates time-to-value for digital deliverables. It is being embraced by all kinds of companies, from pure-play digital market disrupters to mainstream corporates trying to maintain competitive parity with their mobile apps.

    Big DevOps is something else entirely. Big DevOps resembles mainstream DevOps, because it’s a process by which companies bring code to market. But if you’re a game developer or large bank, your code bases are massive—and your software life cycle requires you to distribute those massive code bases across globally dispersed dev and test teams.

    Distribution of massive code bases on a global scale creates time-to-value challenges that are totally foreign to programmers checking bite-sized blocks of work in and out of GitHub. These scale-related distribution challenges chronically delay DevOps workflows—impeding your company’s digital agility and seriously undermining your ability to compete in today’s time-gated markets.

    So you must overcome your Big DevOps code base distribution problem.

    Choking on Code

    The main culprit responsible for the slowness of Big DevOps is the network. It just takes too much time to push a massive code base through the relatively narrow pipe of an enterprise network. Even if you spend lots of money on bandwidth and network acceleration, the ratio between your bits of code and your bits-per-second of network is untenable. Every distribution of every large code artifact gets delayed. Over and over, day in and day out.

    Those days add up. And when you pile days lost due to network-related delays on top of the other delays that plague large, complex software projects, you wind up persistently late to market.

    And cloud alone can’t help you. Globally dispersed teams can’t work on a massive code base in the cloud. They have to work with it locally. So you have two problems. First, all your teams all over the world have to keep downloading and uploading massive files. Second, you have to make sure everything everybody does everywhere stays synced.

    That’s why you need a much better way to globally distribute massive code bases.

    Work Locally, Dedupe Globally

    That better way is a hybrid hub-and-spoke model that lets you maintain a “gold copy” of your code base in the cloud—while giving everyone everywhere a local copy that is continuously updated with any changes to the current build. This approach eliminates network-related delays while ensuring conflict-free collaboration across geographically dispersed teams.

    It’s a simple approach that works. In fact, it’s been used by CAD/CAM teams for years to address a very similar file distribution problem.

    Hybrid cloud hub-and-spoke also saves money—because you can spend less on your network and your local storage infrastructure.

    Cost, however, is not the existential issue facing Big DevOps. Time is. Companies that are slow to market with their digital deliverables can’t win against fast ones. So if your company is big—and if you’re doing Big DevOps—you have to solve your time-to-market problem. The realities of digital competition demand it.

    — Barry Phillips