application repo trigger processes with your CI/CD tooling to update the config repo. The config changes are then pushed/pulled to the deployment environment. Git Repo 1 Git Repo 2 CI/CD Infrastructure re-architecting applications fit into a standardized and vendor-agnostic workflow. It often requires breaking down monolithic applications into microservices, which can be a complex and resource-intensive repository to detect when the Kubernetes cluster resources should automatically update based on config changes. GitOps Operator Infrastructure Code Application Code Transitioning to a cloud-native architecture

the way you want the system to work in an “end state,” which will be the final state achieved by changes made by the GitOps environment. Lastly, the desired state must be declarative. The state of a system rare event). So you can revert back to a previous version while preserving an audit of all the changes that have been made. Although Git is a good example of this principle, you don’t need to use Git from a traditional event-driv- en process (more on that in the next section). Although triggering changes and updates via webhooks or other events is a valid way to automate builds, it’s not GitOps. GitOps

configuration changes revolve around Git, i.e., the version control ecosystem. The focus is entirely on keeping Git as a single source of truth for infrastructure and application configuration changes. In uses familiar Git-based workflows and pull requests to deploy both application and infrastructure changes to Kubernetes. With the entire state of your cluster kept under source control, diff tools and GitOps world, version control systems (VCS) like Git should be the only source of truth. Whatever changes one wants to perform in the system should be declared and always committed first in Git or the

infrastructure changes are available chronologically, enabling users to identify infrastructure changes over time easily. It is also helpful in: Troubleshooting Auditing Rollbacks Changes are automatically is made, it will be verified and then approved since all the changes are stored in Git. Furthermore, it should be automated to apply changes to the system automatically when they are approved. GitOps prefers to manage infrastructure easily as a part of the overall DevOps process by testing and deploying changes quickly with the help of: CI/CD tools Automated deployments Shorter feedback loops By having infrastructure

of truth for declarative infrastructure and applications. Automated CI/CD pipelines roll out changes to your infrastructure when commits are pushed and approved in Git. It also makes use of diff divergence. The ultimate goal of GitOps is to speed up development so that your team can make changes and updates safely and securely to complex applications running in Kubernetes. Freedom of choice your code. Approved changes to the desired state are automatically applied to the system. Once you have the declared state kept in Git, the next step is to allow any changes to that state to be automatically

makes sense. By giving developers the autonomy to deploy their own code and make infrastructure changes with minimal intervention from Ops, organizations naturally become more productive. They deploy teams across the world against four key measures: lead time for new features, failure rate of code changes, frequency of deployment and the time it takes to restore service following an outage. In this deployment frequencies, ranging between once a month and once every six months. 2. Lead time for code changes This metric refers to the average time from check-in to production release. Businesses that perform

themselves—from building and testing to deploying. The move to DevOps requires technical and cultural changes at an organizational level. A new set of tools that can abstract the complexity of the steps previously failing fast. Moving to DevOps is almost always worth the effort. It allows developers to roll out changes and updates very quickly in response to users’ feedback without taking down the whole application infrastructure on modern, cloud-native technologies. They need a way to confidently and securely deploy changes to Kubernetes that doesn’t require them to become experts in the orchestration tool. That’s where

Infrastructure as Code: Git is always the source of truth on what happens in the system ● Code changes always go through an automated process ● Deployments, tests, and rollbacks controlled through Git solution that monitors the Git repository and takes care of the actual deployment by pulling changes in your cluster (and thus making the cluster state the same as the Git state). This scenario is for addressing GitOps​ questions says: “GitOps doesn’t provide a solution to propagating changes from one stage to the next one. We recommend using only a single environment and avoid stage propagation

infrastructure and/or application state is fully represented by the contents of a git repository. Any changes to the git repository are reflected in the corresponding state of the associated infrastructure or record of configuration changes in environments I can’t easily rollback changes to a specific version I can’t audit configuration changes 4 ● All changes are auditable ● Standard roll-forward ● Manifests should be applied with standard Openshift and k8s tooling Day 2 operations : All changes triggered from Git Tools of the Trade https://argoproj.github.io/argo-cd https://kustomize.io/

every product team to deploy changes to platforms in a simple, compliant, and repeatable manner. Our goal is to give every product team the ability to deploy their changes to our modern strategic views Git as the single source of truth. The entire system needs to be declared in Git and any changes are initiated using a simple pull request. GitOps allows you to create and manage your entire software about being aware of what lines of code have changed, and having the ability to rollback specific changes if necessary. This kind of precise control over deployments and change management is a hallmark