What is DevOps? And How can it Help You?

DevOps refers to a new way of developing software and apps, where teams of highly trained technical professionals work together to build and deliver applications. Many smaller teams use the pull-production model, where they rapidly build a product and make it available to customers in a short amount of time.

For larger teams, like teams within an enterprise network, the model is more vertical - development works in parallel with the product's production. The differences come in the form of additional tools for automation and collaboration.

Open source and community tools like GitHub and CI/CD are well known, but what's lesser known is how much value these tools can provide in operational efficiency. Through automation, a team can reduce manual tasks that slow down the process of delivering new products.

Automation also enables faster deployment - reducing the need for time-consuming, manual rescheduling of work, as well as the need for additional infrastructure expense, such as server downtime. Continuous delivery processes (CD) enable software development teams to work as a community, pushing new software developments and functionality as they become available.

Together, CD and automation dramatically reduce the time a team must spend on functional documentation and test processes while simultaneously increasing the speed at which they can build, test, and deploy new code.

In a broader sense, DevOps also means reducing the barriers between teams significantly when speeding up the decision-making process. When everyone on a team knows how a piece of software works, a problem is quickly identified, and a quick solution can be implemented. As a result, the entire team can move towards a unified path of execution instead of spending unnecessary time wrestling with internal constraints and tangential issues.

In addition to speeding up decision-making, automated systems also help solve time-to-market by reducing testing time. When the product or technology being developed is ready to go into production, the last step is to use an orchestration system, and the rest will take place automatically.

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