GitOps provides one model for making infrastructure, apps and add on changes, you have consistent end to end workflows across your entire organization. Not only are your continuous integration and continuous in your cluster. When you push that code to Git, the continuous integration tool kicks off unit tests that eventually build the Docker image that gets pushed to the container registry. With a typical DELIVERY PIPELINE CONTINUOUS INTEGRATION CONTINUOUS DEPLOYMENT Write Code VCS Code Base Unit Tests Integ Tests Container Registry DEPLOY eBook 8 Security and the Typical CI/CD Pipeline How secure is the

what happens in the system ● Code changes always go through an automated process ● Deployments, tests, and rollbacks controlled through Git flow ● Integration with secrets providers ● No hand-rolled already there. This means that tasks such as… ● Compiling code ● Running unit/integration tests ● Security scanning ● Static analysis ...are not a concern of GitOps tools and are assumed With GitOps you can keep your CI process pristine (by just preparing a candidate release) and end it with a Git commit instead of a deployment. The Git commit is picked up by a deployment solution

excited to see those practices summarized for the masses here in The Path to GitOps. Toward the end of writing The Path to GitOps, Christian decided to pursue a new role outside of Red Hat. While we’re infrastructure management, and security. In this chapter, I will go through each aspect of GitOps. By the end of the chapter, you will have a better under- standing of what GitOps means, what it is, what it isn’t development practices were a big step toward improving the application development process for the end user and for internal or external customers. However, while Agile focused on customer and developer

├── ingress.yaml │ ├── NOTES.txt │ ├── serviceaccount.yaml │ ├── service.yaml │ └── tests │ └── test-connection.yaml └── values.yaml #Required ``` KUSTOMIZE cluster. When the developer pushes the code to Git, a continuous integration tool kicks off unit tests that eventually build the Docker container image that gets pushed to the container registry. re-approved, it is merged to Git. 4. The Git merge triggers the CI and build pipeline, runs a series of tests, and then eventually builds a new image and deposits the new image to a registry. 5. The Deployment

inode srcNodeId oldNodeId, err = UpdateDentry(destDentry) end if err != nil then // dentry iunlink(srcNodeId) // end // dentry local srcDentry = Dentry{ srcParentId, srcName } oldNodeId }) // dentry end iunlink(srcNodeId) end // nodeid nlink iunlink(secNodeId) if oldNodeId != 0 then // iunlink(oldNodeId) ievict(oldNodeId) end end© XXX Page 6 of 15 Juicefs

Application development teams Application development teams deliver applications and products to end-users. These teams are aligned according to the organization’s priorities. A common approach is for confidence in the team to move away from traditional architecture, and to rather build consistent end-to-end workflows that simultaneously increase consistency and introduce standardization. Today, MediaMarktSaturn no change between production and your desired state. So we ensure that thousands of clusters who end up running in DoD don’t drift between each other.” — Nicolas Chaillan, former Chief Software Officer

steps needed to achieve the required result. This declarative approach allows users to specify the end goal without worrying about each explicit step needed as in an imperative approach. As a state-aware undergo almost the same verification and validation process for application code with consistent: End-to-end workflows Standardized code structures Documentation Testing methods This introduces standardized

attribution that meets SOC 2 compliance just by using Git. Standardize workflows Establish an end-to-end CI/CD workflow driven by pull requests and fully reproducible through Git. Embed security Leverage

Opinionated GitOps bootstrapping Deployments and environments insights OPENSHIFT GITOPS Bootstrap end-to-end GitOps workflows for application delivery using Argo CD and Tekton with GitOps Application

Predictable - Comprehensive understanding of deployment impact ○ Declarative configuration with a known end state ● Auditable - Traceable changes to infrastructure and applications ○ Understand exact state