Principles [3] based on knowledge and feedback from a wide swath of industry experts. We organized multiple workshops and GitOpsCons and attended regular meetings to help shape GitOps. The entire time, be issued multiple times safely. Doing so might be wasteful, but the result is the same each time, so the operation is idempo- tent. In contrast, adding a line to a log file leaves multiple lines for can be used in multiple overlays. An overlay is a directory with a kustomization.yaml file that refers to other Kustom- ize directories as its bases. An overlay can draw from multiple bases. It composes

successful counterparts. SDO Measure Elite High Medium Low Deployment frequency On-demand (multiple deploys per day) Between once per day and once per week Between once per week and once per more than just increased velocity. It offers numerous benefits that can impact directly on the factors identified by DORA as key influences on business performance. 1. Increased productivity Mean

tools (Jenkins, 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 address other use cases ○ Three sync phases - Pre-sync, sync, post-sync ○ Within each phase can have multiple waves, next wave does not proceed until previous phase is healthy Argo CD - Non-declarative Requirements PR Merge PR to “dev” repo Argo CD - Avoiding Duplication Argo CD enables deployment across multiple clusters, awesome! Wait, how do we manage configuration without copying and pasting yaml everywhere

check/rebuild/unit test each individual branch. Also, if you have a large number of environments, handling multiple branches can get quickly out of hand. There is no standard practice for modeling multi-environment and your GitOps solution for the deployment) does not scale well for large organizations with multiple applications. Ideally, you would want a single deployment platform that follows the full takes for a commit to reach production) cannot be measured easily if your deployment is handled by multiple tools and custom glue code (a very common occurrence in companies of all sizes). It should

there are multiple clusters Target Audience What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next? @rytswd #IstioCon Simply put, it is about combining multiple Kubernetes Cluster: kind-bison ❓ #IstioCon Challenge of Multicluster ● Multicluster requires configuring multiple clusters (duh ?) ● Configurations are similar, but slightly different ● Each cluster needs to securely What to expect Istio Multicluster First Demo About GitOps Second Demo What’s next? Single Network Multiple Networks Challenge of Multicluster (cont’d) @rytswd #IstioCon Brush up on Istio resources Target

deployments, saving time for Ops teams to diagnose and fix those errors. Besides, source control allows multiple teams to work on different parts of the infrastructure without interfering with each other's work infrastructure platform, acting as a middleman for facilitating communications between them. There are multiple available operators such as: Kubernetes Operator Terraform Cloud Operator Azure Service Operator infrastructure to match the desired state. This workflow can be further extended by incorporating multiple infrastructure deployments such as staging and production. This way, the initial deployment will

(desired state) What you have (current state) CD Why GitOps? Reliably and consistently configure multiple Kubernetes clusters and deployment 6 Capturing and tracing any change to clusters through Kubernetes builds strategies or your own custom builds Kubernatives-native image build Supports multiple build strategies Extend with additional build strategies GENERAL DISTRIBUTION ● Build images

Being declarative in nature, Kubernetes helps most larger and enterprise organizations use multiple clusters for different business and team needs. Managing these clusters and keeping configuration Kubernetes will keep trying to make the update until it eventually succeeds. • Idempotence: Multiple and simultaneous convergence instances will all have the same outcome. • Determinism: Assuming

application owners and vendors to securely deploy workloads and other services on-premise, across multiple sites, clouds, and at the edge with the standard GitOps operating model. Our application teams