Splitting CI and CD 1.3. Promotion of releases between environments 1.4. Modeling multi-environment configurations 1.5. Auto-scaling and dynamic resources 1.6. GitOps rollbacks 1.7. Observability promotion of releases between environments 4. There is no standard practice for modeling multi-environment configurations 5. GitOps breaks down with auto-scaling and dynamic resources 6. There is no of GitOps. There are also several underlying issues such as not knowing exactly when your environment has finished with the deployment in order to trigger the tests. The same scenario is trivial

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 with it. Christian central point of deciding what and how to operate on something. Kubernetes controls the operating environment by comparing the declared (desired) state of an object to the current running state. If these autohealing. If you declare that ten instances of your application should be running, but two fail in production, leaving only eight, your running state has drifted away from the desired state. If your DevOps

kept under source control, diff tools and synchronization agents can compare what’s running in production with what’s under source control — and when a divergence is detected between the two, an alert specific cluster credentials to make a change to your system. With GitOps, there is a segregated environment, and the state definition lives outside of it. This allows your team to separate what they actually approach, the development team remains dependent on the operations team to deploy new changes in production. GitOps empowers teams to become more efficient and strategic. It enables development teams to

teams are essentially application development teams that build features and release code into production. Platform teams, on the other hand, exist to support application development teams and make resources the basics in their hands to start deploying and running their application in our very specific environment. We are running everything on-prem. We run workloads also traditionally in many locations. We in Git. Your production or staging environment will pull from Git continuously to implement whatever change you want to make, to ensure you have no drift and no change between production and your desired

commits are pushed and approved in Git. It also makes use of diff tools to compare the actual production state with what’s under source control and alerts you when there is a divergence. The ultimate need cluster credentials to make a change to your system. With GitOps, there is a segregated environment that the state definition lives outside of. This allows you to separate what you do and how you’re If someone breaks into your CI tool, they will have total control over your production cluster, even if your production cluster is highly secure. But what happens if your cluster goes down, and you

to provision an environment The application behaves different in production than it did in test Environments are all manually configured (“pets vs. cattle”) Production deployments have on-premises environment Autoscaling of cloud resources One-click updates for platform, services, and applications OpenShift and GitOps - A Perfect Match ● OpenShift is a declarative environment ○ Cluster makes it happen ● GitOps in traditional environments requires automation/scripting, declarative environment minimizes or eliminates this need ● Declarations are yaml files which are easily stored and

declarative descriptions of all desired elements in the production environment while an automated process ensures the production environment matches the described state. P.4 Weave the principles cluster credentials or manual intervention to make a change to the system. As a segregated environment, the system can only be changed through Git, thereby reducing user error and speeding up time understood by developers. As a result, many teams don’t realize the full benefits of their DevOps environment because the operational complexity of the infrastructure holds them back. Using GitOps best practices

infrastructure change can be bundled and managed together. It also makes it easier to troubleshoot production bugs, such as network connectivity, as users have better visibility of the changes with the deployments multiple infrastructure deployments such as staging and production. This way, the initial deployment will be carried out in a staging environment, which acts as a further fail safe before the final deployment deployment of the infrastructure modifications to the production environment. Likewise, a GitOps pipeline offers limitless possibilities to extend and integrate infrastructure to meet any needs. GitOps example

Provision Code Deploy Artifacts 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 Feature branch 測試驗收 Feature branch Master branch Prod Pipeline 新 Issue Merge Merge Monitor Production branch Feedback Code Review CI/CD Pipeline Commit 檢查 .gitlab-ci.yml GitLab Server 產⽣ CI/CD Multi environment 5. CI/CD 6. Use Repository 7. Agile & Iteration DevOps 1. IaC 讓⼀切都成為 Code 2. Automation 盡可能⾃動化 如果不成，就紀錄它！ 3. Code Review & Approve 審查、複閱、檢查、稽核 4. Multi environment 運⽤在所有的環境！

mesh. IstioCon is a community-led event, showcasing the lessons learned from running Istio in production, hands-on experiences from the Istio community, and featuring maintainers from across the Istio #IstioCon Briefly about UPSIDER ● Startup providing B2B payment service ● Uses Istio extensively in production ● Headquarter in Tokyo, Japan ● Remote team around the world We are hiring. @rytswd #IstioCon there are ❌ This is probably not for you if you… ● already have Istio deployed in multicluster environment Target Audience What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next