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DevOps Model Defined

DevOps is a set of practices that combines software development and IT operations. It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary to agile software development; several DevOps aspects came from the agile way of working.

DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.

How DevOps Works

  • Under a DevOps model, development and operations teams are no longer “siloed.” Sometimes, these two teams are merged into a single team where the engineers work across the entire application lifecycle, from development and test to deployment to operations, and develop a range of skills not limited to a single function.
  • In some DevOps models, quality assurance and security teams may also become more tightly integrated with development and operations and throughout the application lifecycle. When security is the focus of everyone on a DevOps team, this is sometimes referred to as DevSecOps.
  • These teams use practices to automate processes that historically have been manual and slow. They use a technology stack and tooling which help them operate and evolve applications quickly and reliably. These tools also help engineers independently accomplish tasks (for example, deploying code or provisioning infrastructure) that normally would have required help from other teams, and this further increases a team’s velocity.

    • Benefits of DevOps

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    Speed

    Move at high velocity so you can innovate for customers faster, adapt to changing markets better, and grow more efficient at driving business results. The DevOps model enables your developers and operations teams to achieve these results. For example, microservices and continuous delivery let teams take ownership of services and then release updates to them quicker.

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    Rapid Delivery

    Increase the frequency and pace of releases so you can innovate and improve your product faster. The quicker you can release new features and fix bugs, the faster you can respond to your customers’ needs and build competitive advantage. Continuous integration and continuous delivery are practices that automate the software release process, from build to deploy.

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    Reliability

    Ensure the quality of application updates and infrastructure changes so you can reliably deliver at a more rapid pace while maintaining a positive experience for end users. Use practices like continuous integration and continuous delivery to test that each change is functional and safe. Monitoring and logging practices help you stay informed of performance in real-time.

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    Scale

    Operate and manage your infrastructure and development processes at scale. Automation and consistency help you manage complex or changing systems efficiently and with reduced risk. For example, infrastructure as code helps you manage your development, testing, and production environments in a repeatable and more efficient manner.

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    Improved Collaboration

    Build more effective teams under a DevOps cultural model, which emphasizes values such as ownership and accountability. Developers and operations teams collaborate closely, share many responsibilities, and combine their workflows. This reduces inefficiencies and saves time (e.g. reduced handover periods between developers and operations, writing code that takes into account the environment in which it is run).

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    Security

    Move quickly while retaining control and preserving compliance. You can adopt a DevOps model without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.

    DevOps Practices

    Continuous Integration

    Continuous Integration is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds & tests are run. The key goals of continuous integration are to find & address bugs quicker, improve software quality, & reduce the time it takes to validate & release new software updates.

    Continuous Delivery

    Continuous delivery is a software development practice where code changes are automatically built, tested, & prepared for a release to production. It expands upon continuous integration by deploying all code changes to a testing environment &/or a production environment after the build stage.

    Microservices

    The microservices architecture is a design approach to build a single application as a set of small services. Each service runs in its own process & communicates with other services through a well-defined interface using a lightweight mechanism, typically an HTTP-based application programming interface (API).

    Infrastructure as Code

    Infrastructure as code is a practice in which infrastructure is provisioned & managed using code & software development techniques, such as version control & continuous integration. The cloud’s API-driven model enables developers & system administrators to interact with infrastructure programmatically, & at scale, instead of needing to manually set up & configure resources.

    Monitoring & Logging

    Organizations monitor metrics & logs to see how application & infrastructure performance impacts the experience of their product’s end user. By capturing, categorizing, & then analyzing data & logs generated by applications & infrastructure, organizations understand how changes or updates impact users, shedding insights into the root causes of problems or unexpected changes.

    Communication & Collaboration

    Increased communication & collaboration in an organization is one of the key cultural aspects of DevOps. The use of DevOps tooling & automation of the software delivery process establishes collaboration by physically bringing together the workflows & responsibilities of development & operations. Building on top of that, these teams set strong cultural norms around information sharing.

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