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Advanced Kubernetes Training

Live Online & Classroom Enterprise Training

Advanced DevOps covers automation, CI/CD pipelines, infrastructure as code (IaC), and container orchestration with tools like Kubernetes and Terraform. It focuses on optimizing software development, deployment, and monitoring for scalability and reliability.

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What is Advanced Kubernetes Training about?

This advanced Kubernetes course is designed for professionals who want to dive deeper into the powerful container orchestration platform. The course covers advanced Kubernetes concepts such as networking, security, storage management, monitoring, and scaling. It goes beyond basic Kubernetes deployment, empowering you to design, implement, and manage complex Kubernetes environments. You will gain hands-on experience in optimizing Kubernetes clusters for performance, reliability, and security, making you an expert in running production-grade applications at scale.

What are the objectives of Advanced Kubernetes Training ?

  • Implement advanced Kubernetes concepts, including custom controllers, operators, and CRDs (Custom Resource Definitions)
  • Set up and manage Kubernetes clusters at scale
  • Optimize Kubernetes networking, including services, ingress controllers, and network policies
  • Implement advanced storage solutions with persistent volumes and dynamic provisioning
  • Integrate Kubernetes with monitoring tools like Prometheus and Grafana
  • Deploy and manage stateful applications in Kubernetes (StatefulSets, persistent storage)
  • Implement security best practices in Kubernetes (RBAC, network policies, secrets management)
  • Handle high availability, auto-scaling, and disaster recovery within Kubernetes environments
  • Troubleshoot and resolve complex Kubernetes issues in production
  • Automate Kubernetes deployments with Helm and other tools

Who is Advanced Kubernetes Training for?

  • Kubernetes Administrators looking to deepen their expertise in managing production-grade clusters
  • DevOps Engineers working with containerized applications at scale
  • Cloud Engineers focusing on Kubernetes as a cloud-native platform
  • System Architects looking to build robust Kubernetes infrastructures
  • Developers who want to understand how to optimize applications for Kubernetes
  • IT Operations Managers looking to improve reliability and security in their Kubernetes clusters

What are the prerequisites for Advanced Kubernetes Training?

Basic knowledge of Kubernetes fundamentals (pods, services, ADVANCED KUBERNETES  deployments, namespaces) 

Available Training Modes

Live Online Training

3 Days

Self-Paced Training

30 Hours

Course Outline Expand All

Expand All

  • Understanding high availability and fault-tolerant Kubernetes clusters
  • Multi-cluster management and federation
  • Cluster provisioning strategies (kops, kubeadm, managed Kubernetes)
  • Configuring etcd for high availability and backups
  • Kubernetes cluster upgrades and patch management
  • Kubernetes networking fundamentals: CNI plugins and Pod-to-Pod communication
  • Advanced ingress configurations (Ingress Controllers, custom NGINX Ingress, and AWS ALB)
  • Network policies for pod communication and security
  • Load balancing and traffic routing with Kubernetes
  • Service mesh with Istio (advanced routing, retries, and fault injection)
  • Storage classes and dynamic provisioning
  • Persistent Volumes (PV) and Persistent Volume Claims (PVC)
  • StatefulSets and managing stateful applications
  • Configuring distributed storage solutions (Ceph, GlusterFS, etc.)
  • Storage with cloud-native providers (AWS EBS, Azure Disk, GCP Persistent Disk)
  • Role-Based Access Control (RBAC) for fine-grained access control
  • Pod security policies and admission controllers
  • Kubernetes secrets management and encryption at rest
  • Service accounts and security context
  • Network policies for securing pod-to-pod traffic
  • Integrating security tools (e.g., Aqua Security, Sysdig Secure)
  • Advanced Helm usage (charts, values files, templating)
  • Helm best practices for managing Kubernetes applications
  • Managing releases and rollbacks with Helm
  • Automating deployments using CI/CD pipelines (Jenkins, GitLab CI)
  • Kubernetes Operators and Custom Resource Definitions (CRDs)
  • Setting up Prometheus for monitoring Kubernetes clusters
  • Grafana for visualizing Kubernetes metrics
  • Setting up and using ELK Stack (Elasticsearch, Logstash, Kibana) for logging
  • Distributed tracing and observability with Jaeger or OpenTelemetry
  • Alerts, dashboards, and health checks for Kubernetes workloads
  • Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA)
  • Cluster autoscaling for dynamic scaling based on resource utilization
  • Advanced resource requests and limits management for performance optimization
  • Managing scaling in microservices environments
  • Load testing and stress testing Kubernetes applications

Who is the instructor for this training?

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

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