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CN220: Kubernetes Operations Training

Live Online & Classroom Enterprise Training

CN220: Kubernetes Operations is a course that teaches how to deploy, manage, monitor, and troubleshoot Kubernetes clusters to ensure reliable and scalable container orchestration in production environments.

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What is CN220: Kubernetes Operations Training about?

CN220 centers on developing the skills and knowledge needed for Day-1 Kubernetes operations for managing applications. Using best practices as guiding principles, students will engage in topics pertaining to the Kubernetes architecture to make informed decisions for production workloads. Topics include configuring resource availability for applications, implementing advanced scheduling for applications, and administering user roles and permissions for the Kubernetes cluster. Kubernetes Operations and System Integration teams will benefit greatly as they plan and deploy their Kubernetes production environments.

What are the objectives of CN220: Kubernetes Operations Training ?

  • Architect and operate highly available Kubernetes clusters
  • Deploy and update workloads using best practices (probes, autoscaling, affinity, taints/tolerations)
  • Configure networking and ingress traffic
  • Provision storage for stateful workloads with StorageClasses
  • Apply RBAC, network policies, pod security for multi‑tenancy
  • Audit, monitor, and troubleshoot cluster components and applications

Who is CN220: Kubernetes Operations Training for?

  • Infrastructure, DevOps, and SRE engineers
  • Kubernetes platform operators and integration engineers
  • IT professionals managing application workloads in Kubernetes environments

What are the prerequisites for CN220: Kubernetes Operations Training?

  • Comfortable with Linux CLI, Bash, basic networking
  • Familiarity with YAML/JSON, kubectl, and Kubernetes core concepts

Available Training Modes

Live Online Training

Course Outline Expand All

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  • Review the basic architecture of a Kubernetes cluster
  • Install a well-validated HA Kubernetes cluster on a collection of hosts
  • Load balance kubectl commands across an HA Kubernetes cluster
  • Review how pods are scheduled on worker nodes
  • Examine the node selector
  • Discuss implementing the impact of taints and tolerations for Kubernetes workloads
  • Review both pod and node affinity and anti-affinity
  • Discuss releasing updates to applications running on the Kubernetes platform
  • Explore native tooling for updating application
  • Examine how Helm manages updating applications
  • Review the architecture required to achieve high availability for applications
  • Discuss best practices for using liveness and readiness probes
  • Explore Kubernetes auto-scaling of applications
  • Discuss how to prioritize Kubernetes workloads
  • Discuss network routing options within Kubernetes
  • Discuss the benefits of the Ingress controller and object
  • Examine the Ingress object and controller pattern
  • Review available storage options for applications
  • Discuss constraints of persistent storage in a standard Kubernetes cluster deployment
  • Examine the storageClass object
  • Discuss RBAC implementation within Kubernetes
  • Examine Kubernetes RBAC components
  • Review Auditing within Kubernetes
  • Determine how to enable Auditing within a Kubernetes cluster
  • Review the Kubernetes Networking Model
  • Discuss how Network Security is managed within the Kubernetes cluster
  • Examine managing network security with native and non-native Kubernetes tooling
  • Explain the native method of creating Network Policies
  • Identify security mechanisms available to security between containers, pods, and the Kubernetes cluster
  • Discuss strategies for enabling flexibility within security policy while maintaining security compliance
  • Examine how to enable Pod Security Policies
  • Discuss multi-tenancy in a Kubernetes cluster
  • Examine native Kubernetes objects used for enabling multi-tenancy capability
  • Discuss multi-tenancy methods for Kubernetes

Who is the instructor for this training?

The trainer for this CN220: Kubernetes Operations Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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