Kubernetes Engineer roadmap
From your first pod to running production clusters: workloads, networking, storage, security, operations and extending the platform.
12 topics · 72 nodes · 59 covered · 7 partly · 6 planned · updated 2026-10-17
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Guided path: Kubernetes EngineerFrom your first pod to running production clusters: workloads, networking, storage, security, operations and extending the platform.15 stages
- 1.Linux for DevOps: The Command Line, Services and TroubleshootingBeginner
- 2.Networking for DevOps: From Packets to ProductionBeginner
- 3.Docker: Containers from First Run to ProductionBeginner
- 4.Docker: Containers from First Run to ProductionIntermediate
- 5.Kubernetes: Run and Operate Containerized ApplicationsBeginner
- 6.Kubernetes: Run and Operate Containerized ApplicationsIntermediate
- 7.GitOps: Declarative Delivery with Argo CD and FluxBeginner
- 8.Observability: Metrics, Logs, Traces and AlertingBeginner
- 9.Service MeshBeginner
- 10.GitOps: Declarative Delivery with Argo CD and FluxIntermediate
- 11.Observability: Metrics, Logs, Traces and AlertingIntermediate
- 12.Kubernetes: Run and Operate Containerized ApplicationsAdvanced
- 13.DevSecOps: Building Security into DeliveryIntermediate
- 14.Backup and Disaster RecoveryIntermediate
- 15.Service MeshAdvanced
- Covered
- Partly covered
- Planned
1. Core
Containers first
Kubernetes orchestrates containers, so understand them well.
5 / 5 covered
2. Core
Kubernetes core
The mental model and the everyday objects.
10 / 10 covered
3. Core
Reliable workloads
Making applications behave well under change and failure.
5 / 6 covered
4. Core
Storage and stateful workloads
Data that outlives pods.
5 / 6 covered
5. Core
Networking
How traffic reaches and moves between workloads.
5 / 6 covered
6. Core
Packaging and delivery
Getting manifests onto clusters repeatably.
6 / 6 covered
7. Core
Security
Hardening workloads, access and the cluster.
6 / 6 covered
8. Core
Scheduling and capacity
Placing pods well and keeping the cluster healthy.
5 / 5 covered
9. Core
Operations and troubleshooting
Running clusters in production.
6 / 6 covered
10. Core
Observability
Seeing what the cluster and workloads are doing.
5 / 5 covered
11. Recommended
Managed Kubernetes and clusters at scale
Providers, provisioning and fleets.
1 / 6 covered
12. Optional
Extending Kubernetes
Custom resources, controllers and operators.
0 / 5 covered
