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Course Outline
Container Architecture
- Comparing Containers and Virtual Machines
- Analyzing Container Internals
- Container Management Ecosystems
- OCI and CRI Standards
Container Orchestration
- Limitations of Traditional Container Management
- Overview of Kubernetes Architecture
- Foundational Introduction
- Control Plane and Worker Nodes
- Etcd Database
- Kube-apiserver
- Kubelet
- Kube-proxy
- Controller Manager
- Kube Scheduler
- Designing and Implementing a Kubernetes Cluster
- Practical Labs
- Deploying a Multi-Node Kubernetes Cluster
Kubernetes Command-Line Utilities
- Imperative vs. Declarative Management
- Working with Kubectl
- Extending Kubectl with Krew
- Managing Namespaces with Kube ns
- Context Management with kube ctx
- Hands-On Labs
- Initial Setup and Exploration
- Essential Kubectl Commands
- Industry-Standard Tools
Core Kubernetes Concepts
- Organizing Resources via Namespaces
- Pods and Multi-Container Configurations
- Utilizing Labels and Selectors
- Replication Controllers and ReplicaSets
- Managing Deployments, Rolling Updates, and Rollbacks
- Configuring ConfigMaps and Secrets
- Implementing Liveness and Readiness Probes
- Practical Exercises
- Deep Dive into Core Concepts
- Executing Rolling Updates and Rollbacks
- Applying Labels and Selectors
- Managing ConfigMaps and Secrets
- Testing Liveness and Readiness
Kubernetes Networking
- Understanding Cluster-Wide Networking
- Pod-to-Pod Communication
- Service Discovery and Load Balancing
- Integrating CoreDNS
- Managing Ingress Traffic
- Network Labs
- Networking Fundamentals
- Configuring Services
- Setting Up Ingress Controllers
Workload Scheduling
- Manual Placement Strategies
- Applying Taints and Tolerations
- Node-Level Labels and Selectors
- Configuring Node Affinity
- Managing Static Pods
- Implementing DaemonSets
- Scheduling Labs
- Manual Scheduling Techniques
- Using Taints and Tolerations
- Leveraging Node Labels and Selectors
- Defining Node Affinity
- Handling Static Pods
- Deploying DaemonSets
- Creating Jobs and CronJobs
Kubernetes and Storage Management
- Managing Persistent Volumes
- Binding Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Storage Labs
- Static Provisioning Methods
- Dynamic Provisioning Workflows
Kubernetes Security Posture
- Implementing Role-Based Access Control (RBAC)
- Managing Service Accounts
- Defining Security Contexts
- Enforcing Resource Quotas
- Configuring Network Policies
- Security Labs
- RBAC Implementation and Cluster Roles
- Service Account Management
- Security Context Configuration
- Network Policy Enforcement
Logging and Monitoring Frameworks
- Package Management with Helm
- Building Kubernetes Operators
- Monitoring Cluster Health
- Deploying the GAP Stack (Grafana, Alertmanager, Prometheus)
- Monitoring Labs
- Helm Integration
- Setting up the GAP Stack
Requirements
- A solid grasp of cloud computing fundamentals
- Proficiency with Linux command-line interfaces
Target Audience
- DevOps Engineers
- Software Developers
28 Hours
Testimonials (5)
I liked the pace of training.
Michael
Course - Kubernetes from Basic to Advanced (4 days)
it was a lot of information. probably would benefit from another day as i felt like it may have been a bit compressed to try and squeeze it all in.
Mark
Course - Kubernetes from Basic to Advanced (4 days)
everything was explained and backed up with an exercise
Mchal - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
Huge trainer knowledge, every question had an answer :)
Mateusz - Lukka Poland sp. z o.o.
Course - Kubernetes from Basic to Advanced (4 days)
trainer style
