Kubernetes clusters in productive operation - Day 2 operations with CNCF tools
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Machine Learning Engineer
The productive operation of Kubernetes brings with it specific challenges - from security and scalability to monitoring and cost control. In this course, participants receive a practical overview of so-called Day-2-Operations.
Using an end-to-end example project, the course teaches how central tasks in productive Kubernetes operation can be solved efficiently. Participants will learn about a selection of relevant CNCF.io projects that support secure, high-performance and sustainable cluster operation.
The content taught is based on five typical layers of Kubernetes operation:
- KTLO (Keep the Lights On)
- Security
- Change management
- Optimization
- Housekeeping
Tools and projects discussed in the course:
- Development: skaffold
- Setup & operation: cert-manager, Harbor
- Operator pattern: e.g. frp (fast reverse proxy), IIoT (Industrial Internet of Things)
- Security & Traffic: Istio, Zipkin, Kyverno
- Monitoring & logging: Prometheus, Alertmanager, Fluentd
- Serving & Eventing: Knative, CloudEvents
- Storage & databases: Longhorn, Vitess, CloudNativePG
- Multi-cluster & network: Cilium, eBPF
Requirements: Basic knowledge of Kubernetes clusters and container technologies is expected.
Additional information: Tools used are based on CNCF.io projects, content is updated on an ongoing basis.
- Understanding the challenges and tasks of Kubernetes Day-2-Operations
- Acquire the ability to analyze operational aspects in Kubernetes in a structured way
- Getting to know central CNCF.io projects for solving typical tasks in the company
- Applying the tools to real-life scenarios using an end-to-end case study
- Developing a tool stack for productive Kubernetes environments
The course is designed to be interactive and combines keynote speeches, demos and hands-on exercises on a sample project. Participants learn about typical operational requirements and use selected tools directly in a lab environment.
This course is aimed at DevOps engineers, system administrators, platform developers (Google: Site Reliability Engineers) as well as platform and infrastructure managers who are already familiar with Kubernetes and want to focus on productive operation.
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