GitOps is quickly gaining popularity as a continuous deployment solution, offering full application and infrastructure management through a Git-based workflow. But on this road to (workflow) riches, organizations quickly encounter two hurdles impeding their GitOps adoption.
First, available GitOps tooling is overwhelmingly Kubernetes-centric. Aside from born-in-the-cloud companies, most organizations rely on a mix of technologies from on-prem and cloud VMs to Kubernetes. Using GitOps to define and deploy applications on Linux VMs is far different from doing so with Kubernetes, burdening developers with the complexity of managing those multiple pipelines. Second, no matter what infrastructure developers deploy applications to, GitOps lacks a centralized portal to help monitor and support those applications.
Today’s world regards time as of paramount importance. This said, the disruptive tech-enabled innovations are foremost meant to save both business owners’ and users’ time. The industry of software development is based upon the same postulates – the sooner the better, provided that timely product deliverables are coupled with efficiency and convenience.
The Continuous Integration (CI) and Continuous Delivery (CD) practices are among popular software engineering industry trends that help cut costs, time, and risks associated with delivering changes. Yet another trend to optimize the industry lies in applying DevOps methods, oriented to increase the efficiency of development and operation processes, and to speed up product delivery.
GitOps is an operational framework that leverages DevOps core practices used in application development, including version control, CI/CD, and collaboration, for infrastructure automation. This Refcard introduces the fundamentals of a mature GitOps model, the key benefits of GitOps, and the elements of a GitOps workflow for new feature deployment.
