yaml │ └── stage-cd-pipeline.yaml ├── 07-eventlisteners │ └── cicd-event-listener.yaml └── 08-routes └── github-webhook-event-listener.yaml Argo CD - Managing Secrets How do I store Kubernetes 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

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