as the infrastructure layer managing the applications. One day there was an incident where a configuration change took down their entire hosting platform, but the DevOps engineers were able to bring back infrastructure stack instead of just one object. We’ve seen that the desired state is pulled from configuration information that is versioned and stored in an immutable storage system. If there is a difference the entire software infrastructure at a datacenter using configuration files that are both ma- chine-readable and human-readable. The configuration files are machine-readable in a structured format (usually

Ecosystems NINAD DESAI STAFF ENGINEER, INFRACLOUD CONTENTS • About GitOps for Kubernetes • Configuration Management in Kubernetes • GitOps for Kubernetes Essentials • Conclusion Git is the most experience. In the last few years, the number of tools and systems needed to manage version control, configuration management, Infrastructure as Code, CI/CD, and observability have drastically increased. This Thus, to improve developer experience, GitOps emerged where infrastructure and application configuration changes revolve around Git, i.e., the version control ecosystem. The focus is entirely on

#IstioCon Target audience ✅ If you want to ... ● play with Istio offerings ● see the actual configuration files ● understand how Istio can be used / installed with other services ● know what multicluster Install into some cluster ● Tweak some simple configuration ● Add / remove offerings you are keen to test and see in action ● Add custom configuration on top of simple setup ● Install in cluster Install into some cluster ● Tweak some simple configuration ● Add / remove offerings you are keen to test and see in action ● Add custom configuration on top of simple setup With requirements such

being generic). ● It requires extra effort to keep all branches in sync (in case of hotfixes or configuration changes). ● It puts unnecessary strain on the CI system that has to check/rebuild/unit test each environment and can quickly lead to configuration duplication or people making commits to specific environments (instead of using shared configuration). For example, if you have 20 git repositories release to a previous environment (e.g. production to QA in order to examine a bug) ● has a configuration mechanism in place to define multiple version of the same environment (i.e. for different geographical

pipeline, applying GitOps best practices with Git (or any version control) should be an integral component of your process. It will make building and adopting continuous delivery in your organization easier native tools that are “declarative” and that can be treated as code. Declarative means that configuration is guaranteed by a set of facts instead of by a set of instructions. With your application’s continuous integration environment Runs inside the production cluster Read/Write access to configuration repository Read access to image repository Read/Write access to the production cluster GitOps

entire software stack through Git and treat your servers as your source code. Every change and configuration is done through a pull request and everyone has access to the application, which can be rolled you should trust the platform you are building on. With GitOps, you can make sure that each configuration change is verified by your peers and automatically tested before it is deployed. Your platform Git as the single source of truth, and all platform configuration stored in Git, platform operations can be automated with ease. Whenever configuration drift occurs, it is immediately spotted and corrected

treat everything as code – from the application code itself to the underlying infrastructure and configuration – you can keep it in version control. This means the desired state and any changes of an entire ecosystem of cloud native tools are declarative, as opposed to imperative, which allows for configuration to be treated as code. It is this declarative nature that enables the infrastructure to be held 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 – and rolled back if necessary. This means

Production ⼀條龍 ⼯程師 Configuration Provision Code Deploy CI / CD Production ⼀條龍 ⼯程團隊 Configuration Automation Code Deploy CI / CD Production ⼀條龍 ⼯程團隊 Configuration Automation Ops / Infra GitLab 說的~ GitOps = IaC + MRs + CI/CD Infrastructure as Code Infrastructure System Configuration Application Configuration GitOps = IaC + MRs + CI/CD Merge Requests GitOps = IaC + MRs + CI/CD Continuous

@codefresh ● Predictable - Comprehensive understanding of deployment impact ○ Declarative configuration with a known end state ● Auditable - Traceable changes to infrastructure and applications ○ desired state of configuration ● Pull requests drive all application & infrastructure changes ● Cluster state always matches Git state ○ Tooling should understand and monitor for configuration drift ● Deployments feature development @codefresh Practicing GitOps ● Templating: Helm, Kustomize, and more ● Configuration Drift: Monitors live state against desired state ● Enterprise Ready: SSO, multi-cluster, and

deployments. Increased productivity The source-controlled, validated infrastructure reduces configuration errors that can occur during deployments, saving time for Ops teams to diagnose and fix those pipeline and initializes the git operator. Then the git operator will compare the states. This new configuration will identify this as a state change and automatically orchestrate the underlying infrastructure resource allocations to meet the user demands. But, what happens if the deployment fails, or a configuration error causes a networking issue? GitOps approach allows users to quickly roll back to a previous