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Course Outline
Containers Architecture
- Comparing Containers with Virtual Machines
- Analyzing Container Components
- Overview of Container Management Systems
- OCI and CRI Standards
Container Orchestration
- Limitations of Traditional Container Management Systems
- Kubernetes Architectural Design
- Introduction to Kubernetes
- Masters and Nodes Roles
- Etcd Data Store
- Kube-apiserver Functions
- Kubelet Mechanisms
- Kube-proxy Configuration
- Controller Manager Responsibilities
- Kube Scheduler Operations
- Designing and Installing a Kubernetes Cluster
- Practical Labs
- Deploying a Multi-Node Kubernetes Cluster
Kubernetes Command-Line Tools
- Imperative vs Declarative Approaches
- Using Kubectl
- Integrating Krew
- Managing Kube Namespaces
- Context Management with kube ctx
- Practical Labs
- Getting Started with Kubernetes CLI
- Essential Kubectl Commands
- Productivity Tools and Plugins
Kubernetes Core Concepts
- Namespace Management
- Pods and Multi-container Pod Configurations
- Utilizing Labels and Selectors
- Replication Controllers and ReplicaSets
- Deployments: Rolling Updates and Rollbacks
- Managing ConfigMaps and Secrets
- Liveness and Readiness Probes
- Practical Labs
- Applying Core Kubernetes Concepts
- Executing Rolling Updates and Rollbacks
- Implementing Labels and Selectors
- Handling ConfigMaps and Secrets
- Configuring Liveness and Readiness
Kubernetes Networking
- Cluster-Wide Networking
- Pod-to-Pod Networking
- Service-Based Networking
- Implementing CoreDNS in Kubernetes
- Ingress Management
- Practical Labs
- Networking Fundamentals
- Service Configurations
- Ingress Rules
Scheduling
- Manual Workload Scheduling
- Applying Taints and Tolerations
- Node Labels and Selector Strategies
- Node Affinity Rules
- Managing Static Pods
- Configuring DaemonSets
- Practical Labs
- Manual Scheduling Techniques
- Using Taints and Tolerations
- Node Label Selection
- Defining Node Affinity
- Handling Static Pods
- Setting Up DaemonSets
- Jobs and CronJobs Automation
Kubernetes and Storage
- Configuring Persistent Volumes
- Managing Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Practical Labs
- Static Provisioning Methods
- Dynamic Provisioning Workflows
Kubernetes Security
- Role-Based Access Control (RBAC)
- Service Account Management
- Defining Security Contexts
- Implementing Resource Quotas
- Configuring Network Policies
- Practical Labs
- RBAC and Cluster Role Definitions
- Managing Service Accounts
- Applying Security Contexts
- Enforcing Network Policies
Logging and Monitoring
- Package Management with Helm
- Using Kubernetes Operators
- Monitoring Cluster Components
- Implementing the GAP Stack (Grafana, Alertmanager, Prometheus)
- Practical Labs
- Helm Chart Management
- Setting Up the GAP Stack
Requirements
- A solid understanding of cloud computing principles
- Working knowledge of the Linux command line interface
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
