GitOps Happy Hour - Operators in a GitOps World

Join Christian Hernandez, GitOps Extraordinaire, for a journey through how to achieve GitOps in any number of ways. The occasional Red Hatters and special guest will join us too.

https://openshift.tv

1. Operators in a GitOps World 1 Christian Hernandez Senior Principal Technical Marketing Manager Cloud Platforms Business Unit @christianh814
2. • Overview of Operators • Overview of Operator Lifecycle Management • Where Operators fit in the bigger GitOps picture It’s a GitOps World 2
3. 3 Operators: A cloud-like experience, everywhere
4. Flexible app architectures Uniform deploy and debug No reinvention of core concepts Truly hybrid Operators codify operational knowledge and workflows to automate life-cycle management of containerized applications with Kubernetes Kubernetes-native day 2 management
5. • Codify operational knowledge and software lifecycle • Software-as-a-Service consumption model The purpose of Operators 5 Embed ops knowledge from the experts Operator v1.1.2 Deployments StatefulSets Autoscalers Secrets Config maps
6. Capability levels 6
7. Operators in action 7 Custom Resource Developer / OpenShift User Deployments StatefulSets Autoscalers Secrets ConfigMaps PersistentVolumes K8s API apiVersion: etcd.database.coreos.com/v1beta2 kind: EtcdCluster metadata: name: example-etcd-cluster spec: size: 5 version: 3.2.13 Custom Kubernetes Controller Watch Events Reconciliation + Custom Resource Definition Kubernetes Operator Native Kubernetes Resources
8. Operator updates 8 OPERATOR LIFECYCLE MANAGER YourOperator v1.2 YourOperator v1.3 YourOperator v2.0 YourOperator v2.1 Subscription for YourOperator Time Version YourApp v3.0 YourApp v3.1 YourApp v3.1 Operator Catalog
9. • OperatorHub.io launched by Red Hat, AWS, Microsoft and Google • OpenShift Operator Certification • OperatorHub integrated into OpenShift 4 COMMUNITY OPERATORS OperatorHub and certified Operators OPENSHIFT CERTIFIED OPERATORS
10. • Operators ◦ Codify Operational/Software-lifecycle knowledge ◦ Built on Kubernetes primitives (CRDs) ◦ SDK: Golang, Ansible, Helm, more to come! ◦ Meant for Automating applications ◦ OpenShift 4 is built on top of Operators • Manage Operators with OLM ◦ An operator for Operators ◦ Control versions and upgrades ◦ Catalog/SaaS experience In Summary 10
11. 11 GitOps and Operators, like peanut butter and chocolate.
12. • What are Operators, really? ◦ Custom Resource saved in YAML ◦ Automation triggered by the CR (the YAML) ◦ Changes are made by editing the CR (YAML) ◦ Other changes are reconciled back to the desired state ◦ Easily Replicated to other clusters • What is GitOps? ◦ Manifests are saved in git (YAML) ◦ Automation/sync tool reads manifest (YAML) ◦ Changes are made by PRing the YAML ◦ Other changes are reconciled back to the desired state. ◦ Easily Replicated to other clusters So Many Automation Tools! 12
13. How To Interface with Operators/OLM 13 CLUSTER VERSION OPERATOR YAML MACHINE CONFIG OPERATOR CLUSTER OPERATORS DNS, Authentication, Console, Ingress, Network, Registry, Monitoring, Logging, etc. OpenShift Nodes
14. It’s Just YAML! 14 CLUSTER VERSION OPERATOR YAML MACHINE CONFIG OPERATOR CLUSTER OPERATORS DNS, Authentication, Console, Ingress, Network, Registry, Monitoring, Logging, etc. OpenShift Nodes
15. • Operators are YAML Driven • YAML for the Operator function should live in Git • The point of demarcation is the handoff of this YAML You manage the manifest with GitOps as you normally would, while allowing the automation of Operators to be performed. The Point Of Demarcation 15
16. • Cluster Operators and the CVO • Machine Config Operators ◦ RHCOS MachineSet Configs ◦ Windows MachineSet Configs ◦ MachineSet Autoscalers • Machine Configs • Machine Config Pools Other Things To Consider 16
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