What is DevOps?

DevOps combines development and operations to increase the efficiency, speed, and security of software development and delivery compared to traditional processes. A more nimble software development lifecycle results in a competitive advantage for businesses and their customers.

DevOps can be best explained as people working together to conceive, build and deliver secure software at top speed. DevOps practices enable software development (dev) and operations (ops) teams to accelerate delivery through automation, collaboration, fast feedback, and iterative improvement.

Stemming from an Agile approach to software development, a DevOps process expands on the cross-functional approach of building and shipping applications in a faster and more iterative manner. In adopting a DevOps development process, you are making a decision to improve the flow and value delivery of your application by encouraging a more collaborative environment at all stages of the development cycle.

DevOps represents a change in mindset for IT culture. In building on top of Agile, lean practices, and systems theory, DevOps focuses on incremental development and rapid delivery of software. Success relies on the ability to create a culture of accountability, improved collaboration, empathy, and joint responsibility for business outcomes.

The DevOps methodology comprises four key principles that guide the effectiveness and efficiency of application development and deployment. These principles, listed below, center on the best aspects of modern software development.

1. Automation of the software development lifecycle. This includes automating testing, builds, releases, the provisioning of development environments, and other manual tasks that can slow down or introduce human error into the software delivery process.
2. Collaboration and communication. A good DevOps team has automation, but a great DevOps team also has effective collaboration and communication.
3. Continuous improvement and minimization of waste. From automating repetitive tasks to watching performance metrics for ways to reduce release times or mean-time-to-recovery, high performing DevOps teams are regularly looking for areas that could be improved.
4. Hyperfocus on user needs with short feedback loops. Through automation, improved communication and collaboration, and continuous improvement, DevOps teams can take a moment and focus on what real users really want, and how to give it to them.

By adopting these principles, organizations can improve code quality, achieve a faster time to market, and engage in better application planning.

As DevOps has evolved, so has its complexity. This complexity is driven by two factors:

• Organizations are moving from monolithic architectures to microservices architectures. As DevOps matures, organizations need more and more DevOps tools per project.

• The result of more projects and more tools per project has been an exponential increase in the number of project-tool integrations. This necessitated a change in the way organizations adopted DevOps tools.

This evolution took place in following four phases:

Phase 1: Bring Your Own DevOps

In the Bring Your Own DevOps phase, each team selected its own tools. This approach caused problems when teams attempted to work together because they were not familiar with the tools of other teams.

Phase 2: Best-in-class DevOps

To address the challenges of using disparate tools, organizations moved to the second phase, Best-in-class DevOps. In this phase, organizations standardized on the same set of tools, with one preferred tool for each stage of the DevOps lifecycle. It helped teams collaborate with one another, but the problem then became moving software changes through the tools for each stage.

Phase 3: Do-it-yourself DevOps

To remedy this problem, organizations adopted do-it-yourself (DIY) DevOps, building on top of and between their tools. They performed a lot of custom work to integrate their DevOps point solutions together. However, since these tools were developed independently without integration in mind, they never fit quite right. For many organizations, maintaining DIY DevOps was a significant effort and resulted in higher costs, with engineers maintaining tooling integration rather than working on their core software product.

Phase 4: DevOps Platform

A single-application platform approach improves the team experience and business efficiency. A DevOps platform replaces DIY DevOps, allowing visibility throughout and control over all stages of the DevOps lifecycle.

By empowering all teams – Development, Operations, IT, Security, and Business – to collaboratively plan, build, secure, and deploy software across an end-to-end unified system, a DevOps platform represents a fundamental step-change in realizing the full potential of DevOps.

GitLab's DevOps platform is a single application powered by a cohesive user interface, agnostic of self-managed or SaaS deployment. It is built on a single codebase with a unified data store, that allows organizations to resolve the inefficiencies and vulnerabilities of an unreliable DIY toolchain.

AI and machine learning (ML) are still maturing in their applications for DevOps, but there is plenty for organizations to take advantage of today, including using the technology to make sense of test data.

AI and ML can find patterns, figure out the coding problems that cause bugs, and alert DevOps teams so they can dig deeper.

Similarly, DevOps teams can use AI and ML to sift through security data from logs and other tools to detect breaches, attacks, and more. Once these issues are found, AI and ML can respond with automated mitigation techniques and alerting.

AI and ML can save developers and operations professionals time by learning how they work best, making suggestions within workflows, and automatically provisioning preferred infrastructure configurations.

DevOps brings the human silos together and a DevOps platform does the same thing for tools. Many teams start their DevOps journey with a disparate collection of tools, all of which have to be maintained and many of which don’t or can’t integrate. A DevOps platform brings tools together in a single application for unparalleled collaboration, visibility, and development velocity. A DevOps platform is how modern software should be created, secured, released, and monitored in a repeatable fashion. A true DevOps platform means teams can iterate faster and innovate together because everyone can contribute.

The business value of DevOps and the benefits of a DevOps culture lies in the ability to improve the production environment in order to deliver software faster with continuous improvement. You need the ability to anticipate and respond to industry disruptors without delay. This becomes possible within an Agile software development process where teams are empowered to be autonomous and deliver faster, reducing work in progress. Once this occurs, teams are able to respond to demands at the speed of the market.

There are some fundamental concepts that need to be put into action in order for DevOps to function as designed, including the need to:

• Remove institutionalized silos and handoffs that lead to roadblocks and constraints, particularly in instances where the measurements of success for one team is in direct odds with another team’s key performance indicators (KPIs).

• Implement a unified tool chain using a single application that allows multiple teams to share and collaborate. This will enable teams to accelerate delivery and provide fast feedback to one another.

DevOps represents a change in mindset for IT culture. In building on top of Agile practices, DevOps focuses on incremental development and rapid delivery of software. Success relies on the ability to create a culture of accountability, improved collaboration, empathy, and joint responsibility for business outcomes.

Adopting a DevOps strategy enables businesses to increase operational efficiencies, deliver better products faster, and reduce security and compliance risk.

The DevOps lifecyle stretches from the beginning of software development through to delivery, maintenance, and security. The stages of the DevOps lifecycle are:

DevOps covers a wide range of practices across the application lifecycle. Teams often start with one or more of these practices in their journey to DevOps success.

Security has become an integral part of the software development lifecycle, with much of the security shifting left in the development process. DevSecOps ensures that DevOps teams understand the security and compliance requirements from the very beginning of application creation and can properly protect the integrity of the software.

By integrating security seamlessly into DevOps workflows, organizations gain the visibility and control necessary to meet complex security demands, including vulnerability reporting and auditing. Security teams can ensure that policies are being enforced throughout development and deployment, including critical testing phases.

DevSecOps can be implemented across an array of environments such as on-premises, cloud-native, and hybrid, ensuring maximum control over the entire software development lifecycle.

CI/CD — the combination of continuous integration and continuous delivery — is an essential part of DevOps and any modern software development practice. A purpose-built CI/CD platform can maximize development time by improving an organization’s productivity, increasing efficiency, and streamlining workflows through built-in automation, continuous testing, and collaboration.

As applications grow larger, the features of CI/CD can help decrease development complexity. Adopting other DevOps practices — like shifting left on security and creating tighter feedback loops — helps break down development silos, scale safely, and get the most out of CI/CD.

Moving software development to the cloud has so many advantages that more and more companies are adopting cloud-native computing. Building, testing, and deploying applications from the cloud saves money because organizations can scale resources more easily, support faster software shipping, align with business goals, and free up DevOps teams to innovate rather than maintain infrastructure.

Cloud-native application development enables developers and operations teams to work more collaboratively, which results in better software delivered faster.

A DevOps engineer is responsible for all aspects of the software development lifecycle, including communicating critical information to the business and customers. Adhering to DevOps methodologies and principles, they efficiently integrate development processes into workflows, introduce automation where possible, and test and analyze code. They build, evaluate, deploy, and update tools and platforms (including IT infrastructure if necessary). DevOps engineers manage releases, as well as identify and help resolve technical issues for software users.

DevOps engineers require knowledge of a range of programming languages and a strong set of communication skills to be able to collaborate among engineering and business groups.

Adopting DevOps breaks down barriers so that development and operations teams are no longer siloed and have a more efficient way to work across the entire development and application lifecycle. Without DevOps, organizations often experience handoff friction, which delays the delivery of software releases and negatively impacts business results.

The DevOps model is an organization’s answer to increasing operational efficiency, accelerating delivery, and innovating products. Organizations that have implemented a DevOps culture experience the benefits of increased collaboration, fluid responsiveness, and shorter cycle times.