Desired state is stored in a way that enforces immutability and versioning and that retains a complete version history. The canonical example of the “versioned and immutable” principle is Git, which change gets merged into the repository which is then applied to the target infrastructure. The complete history of the changes, review process, and deployment is visible through the Git history. Modeling carries out development on each environment in a different short-lived branch. When development is complete for that environment, the developer creates a pull request for the branch to the trunk. Developers

the config repo and deploys the new feature to production. eBook 13 Tutorial Prerequisites To complete this tutorial, you will need a Kubernetes cluster. This tutorial should work with any valid Kubernetes Trial Account Before you can start doing GitOps, you’ll need to set up the following items. Once complete, you will have an entire end to end CI/CD pipeline setup. In this tutorial we use particular tools far the simplest way to set up a Kubernetes cluster. With only a few commands, you can deploy a complete Kubernetes cluster with a resilient and secure container network onto the Cloud Provider of your

Updated State Current State Updated State 5. Call ArgoCD to rollout and pause 7. Call ArgoCD to complete rollout Config Sync Config Sync MyApp rollout manifest 8. Get latest Canary Demo! @codefresh

based entirely on GitOps best practices, reducing complexity of configuration management for complete Kubernetes platforms. By keeping the configuration in Git, developers and operators can use WKP

implementing and dealing with GitOps. Let’s take a look. Declarative system In the GitOps model, the complete system is configured declaratively. This declarative approach is focused on the result (desired

Desired state is stored in a way that enforces immutability and versioning and retains a complete version history. 3. Pulled automatically Software agents automatically pull the desired

By storing all configuration data in Git, organizations can consistently deploy identical and complete Kubernetes Platforms to different environments, whether on-premise, in the cloud or in different

is a high priority. They have specific needs to have data stored only on-premises and ensure a complete audit trail of all actions performed within the system. With these high expectations, ad hoc management

customers can now create GitOps pipelines if they prefer. This means that one can now create complete GitOps pipelines that are not possible by using Argo on its own. For example, a very popular