Kubernetes fundamentals and architecture
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Introduction to Kubernetes concepts: pods, nodes, deployments, services, namespaces.
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Kubernetes architecture and its components: control plane (API Server, Scheduler, Controller Manager, etcd) and worker nodes (kubelet, kube-proxy, Container Runtime).
Installation and configuration
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Installing and configuring Kubernetes clusters, either on-premises or using cloud provider services like Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or Azure Kubernetes Service (AKS).
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Working with kubectl, the Kubernetes command-line tool, for managing and interacting with the cluster.
Application lifecycle management
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Deploying and managing applications using Kubernetes deployments and ReplicaSets.
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Scaling applications horizontally and vertically.
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Performing rolling updates and rollbacks of application deployments.
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Managing application configurations using ConfigMaps and Secrets.
Networking
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Kubernetes networking concepts: container-to-container, pod-to-pod, pod-to-service, and external-to-service communication.
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Implementing network policies to control traffic flow between pods.
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Understanding Container Network Interface (CNI) and common networking plugins like Calico, Flannel, and Weave Net.
Storage
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Kubernetes storage options: Persistent Volumes (PVs) and Persistent Volume Claims (PVCs).
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Implementing dynamic storage provisioning with StorageClasses.
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Working with different storage solutions, including cloud provider storage, network file systems (NFS), and object storage.
Security
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Kubernetes security best practices: Role-Based Access Control (RBAC), network policies, secrets management, container image security.
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Securing the Kubernetes API server and etcd.
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Implementing pod security standards and admission controllers.
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Regularly updating and patching clusters for vulnerability management.
Logging and monitoring
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Implementing logging and monitoring solutions for Kubernetes clusters, including system component logs, application logs, and node logs.
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Using tools like Prometheus, Grafana, and the Elastic Stack (ELK/EFK) for metrics collection, visualization, and log analysis.
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Setting up alerts and notifications for critical cluster events.
Troubleshooting
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Diagnosing and resolving common issues in Kubernetes clusters, nodes, pods, and deployments.
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Using kubectl commands and other troubleshooting tools for debugging and inspecting cluster state.
Cluster maintenance
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Performing cluster upgrades and maintenance tasks, including managing static pods and CronJobs.
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Implementing backup and recovery procedures for disaster recovery.
Advanced topics (optional)
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Helm for package management.
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Kubernetes operators for automating complex application lifecycles.
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Multi-tenancy and workload isolation.