Codefresh & ArgoCD 3.1. Getting visibility into deployments 3.2. Deployment value comes from features and not Git hashes 3.3. The new Codefresh GitOps dashboard 3.4. Argo CD Integration 3.5. CI/CD biggest challenges when adopting GitOps workflows. Next, we will look at ideal scenarios, the features that tools should provide, and the standards we aim to implement in what we defined as our vision requests each time you do a release. ● 10 Git repositories. This means that you need to write your own solution that copies commits between the repositories (or uses Pull Requests between them). ● A

Tools Summary The Path to GitOps | 3 Contents 22 Chapter 4–Git Workflows Separate Your Repositories Separate Development in Directories, Not Branches Trunk-Based Development Policies Repository Considerations Monorepo Polyrepo Directory Structures Repositories Reflecting an Organizational Boundary Kubernetes Platform Administrator Kubernetes releases can measure in the hundreds per day. It quickens developer loops so much that often, features land in production that same day. All the golden metrics you track will improve, and morale along

delivery in your organization easier and will significantly speed up your team’s ability to ship features. eBook 4 The Principles of GitOps The entire system is described declaratively. Kubernetes By applying GitOps best practices developers use familiar tools like Git to manage updates and features to Kubernetes more rapidly. Newly on boarded developers can get quickly up to speed and be productive Introducing GitOps into your organization means: Any developer that uses Git can start deploying new features to Kubernetes The same workflows are maintained across development and operations All changes

DevOps evolution Stream-aligned teams are essentially application development teams that build features and release code into production. Platform teams, on the other hand, exist to support application can be by department. Application development teams care about moving faster and deploying new features and updates with little or no friction. The internal platform approach Use of internal platforms secure. GitOps for internal platform building GitOps is a way to manage platforms from Git repositories. It requires that every part of the platform be defined in Git. With Git as the single source

complexities of multicloud environments. Each cloud service has different APIs, syntax, and other features, and each comes with its own unique set of “gotchas.” This com- plexity is compounded by the need property of their respective companies. Maintain Separate Repositories for Application Code and Infrastructure Code Having separate repositories for application code and infrastructure code is a best practice

OpenShift Pipelines, etc) ○ Does CI/CD or Argo CD manage deployments? Approach 1: Multiple repositories /taxi-config-stage.git /taxi-config-test.git /taxi-config-prod.git /taxi-config-dev.git /taxi flexibility ○ Overlays can leverage other bases and overlays ○ Overlays can reference remote repositories ● Included with kubernetes since 1.14 ● Validates yaml before deployment Kustomize vs Helm

be used with any git repository. BitBucket Pipeline and GitLab Pipelines prefer their own code repositories. Whatever the selected pipeline platform, its primary goal will be to: Automate the delivery

-images ● https://github.com/rytswd/color-svc ● https://github.com/rytswd/color-grid Other repositories referenced: ● https://github.com/rytswd/get-gitops-k8s Link to this slide ● https://tinyurl

Ops, organizations naturally become more productive. They deploy code more quickly and bring new features to market faster, establishing a clear competitive advantage with an increase in innovation. This performance of engineering 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 experimentation, and allows development teams to make crucial decisions before they deploy new features. Features or other updates like cluster configuration can be pushed to Git and then observed in real-time

development, test environments, or deploy new features to a cluster. Teams can ship more changes per day, and this translates into a faster turnaround for new features and functionality for the customer. programming language open-sourced by Google that provides configuration management as one of its main features. Its use is not specifically limited to Kubernetes alone (although, it’s been popularized by real-time within the running cluster, you can deploy with confidence and deliver higher-quality features. Observability is a principal driver of the continuous delivery cycle for Kubernetes since it