of thinking about application deployment, because con- figuration files are used to declare the creation of container instances and dictate how the platform goes on to deploy or delete them. Thus, Kubernetes Principles In November 2020, Amazon, Codefresh, GitHub, Microsoft, and Weaveworks announced the creation of the GitOps Working Group. This working group was meant as a way for interested parties to get detect and fix drift. But additionally, you can also manage the lifecycle of those clusters. From creation to destruction and policy enforcement, OCM and Red Hat Advanced Cluster Management take the idea

releases between environments 1.4. Modeling multi-environment configurations 1.5. Auto-scaling and dynamic resources 1.6. GitOps rollbacks 1.7. Observability 1.8. Auditing 1.9. Running at scale practice for modeling multi-environment configurations 5. GitOps breaks down with auto-scaling and dynamic resources 6. There is no standard practice for GitOps rollbacks 7. Observability for GitOps (and have an easy answer​ on what is the correct approach. GitOps breaks down with auto-scaling and dynamic resources One of the critical points in GitOps is that after a deployment has finished the cluster

Transitioning to a cloud-native architecture also brings about an increase in maintenance tasks. The dynamic and distributed nature of cloud-native applications requires continuous monitoring, updates, and detailed view of the system, allowing for better understanding and troubleshooting of complex and dynamic environments. This allows teams to monitor and troubleshoot issues more effectively. Additionally

includes many of the essential GitOps capabilities to simplify Git reconciliation, and cluster creation. Some of the noteworthy features of Weave GitOps are as follows It constantly monitors changes

understand and use First class support in OpenShift GUI console Templates are static, no support for dynamic scripting/variables What's next in OpenShift Q3CY2020 Cloud Native Development OPENSHIFT PIPELINES