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Course Outline
Containers Architecture
- Distinguishing between Containers and Virtual Machines
- Analyzing Container Internals
- Overview of Container Management Systems
- Understanding OCI and CRI Standards
Container Orchestration
- Limitations of Traditional Container Management Systems
- Architecture of Kubernetes
- Initial Overview
- Role of Masters and Nodes
- Introduction to Etcd
- The Kube-apiserver Component
- Understanding the Kubelet
- Function of Kube-proxy
- The Controller Manager
- The Kube Scheduler
- Designing and Deploying a Kubernetes Cluster
- Practical Labs
- Deployment of Multi-Node Kubernetes Clusters
Kubernetes Command-Line Tools
- Imperative vs. Declarative Approaches
- Working with Kubectl
- Exploring Krew
- Managing Namespaces (Kube ns)
- Context Management (kube ctx)
- Practical Labs
- Initiating Work with Kubernetes
- Essential Kubectl Commands
- Essential Tooling for Daily Tasks
Kubernetes Core Concepts
- Utilizing Namespaces
- Pods and Multi-Container Pods
- Applying Labels and Selectors
- Replication Controllers and ReplicaSets
- Deployments: Rolling Updates and Rollbacks
- Managing ConfigMaps and Secrets
- Configuring Liveness and Readiness Probes
- Practical Labs
- Deep Dive into Core Concepts
- Implementing Rolling Updates and Rollbacks
- Strategy for Labels and Selectors
- Handling ConfigMaps and Secrets
- Setting Liveness and Readiness Checks
Kubernetes Networking
- Cluster-Wide Networking
- Pod-Level Networking
- Service Networking
- CoreDNS Integration in Kubernetes
- Managing Ingress Traffic
- Practical Labs
- Networking Fundamentals
- Service Configuration
- Ingress Management
Scheduling
- Manual Scheduling Techniques
- Utilizing Taints and Tolerations
- Node Labels and Selectors
- Configuring Node Affinity
- Working with Static Pods
- Implementing DaemonSets
- Practical Labs
- Manual Scheduling Practices
- Applying Taints and Tolerations
- Using Node Labels and Selectors
- Defining Node Affinity
- Managing Static Pods
- Configuring DaemonSets
- Jobs and CronJobs
Kubernetes and Storage
- Working with Persistent Volumes
- Managing Persistent Volume Claims
- Dynamic Provisioning via StorageClass
- Practical Labs
- Static Volume Provisioning
- Dynamic Volume Provisioning
Kubernetes Security
- Implementing Role-Based Access Control (RBAC)
- Managing Service Accounts
- Defining Security Contexts
- Setting Resource Quotas
- Applying Network Policies
- Practical Labs
- RBAC Configuration and Cluster Roles
- Service Account Management
- Security Context Configuration
- Network Policy Implementation
Logging and Monitoring
- Using Helm for Package Management
- Implementing Operators
- Monitoring Cluster Components
- Establishing the GAP Stack: Grafana, Alertmanager, and Prometheus
- Practical Labs
- Helm Deployment Strategies
- Setting Up the GAP Stack
Requirements
- A solid grasp of cloud computing principles
- Proficiency in using the Linux command-line interface
Intended 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
