Visão Geral

O curso de Administração Kubernetes é projetado para fornecer aos participantes uma compreensão profunda do Kubernetes, a plataforma de orquestração de contêineres de código aberto mais popular do mundo. Kubernetes permite a automatização da implantação, dimensionamento e gerenciamento de aplicativos em contêineres. Este curso cobre desde os conceitos básicos até os aspectos avançados da administração de clusters Kubernetes, incluindo configuração, gerenciamento, monitoramento, segurança e solução de problemas.

Os participantes aprenderão a configurar e operar clusters Kubernetes, implantar aplicativos em contêineres, gerenciar o armazenamento e a rede, implementar políticas de segurança e usar ferramentas de monitoramento e solução de problemas para garantir a alta disponibilidade e desempenho dos aplicativos.

Objetivo

Após realizar este cursokubernetes Administration, você será capaz de:

• Planejar e criar um cluster Kubernetes, incluindo a instalação dos componentes necessários, a configuração do cluster e a adição de nós
• Implante aplicativos no Kubernetes criando pods, serviços e armazenamento
• Gerencie recursos do Kubernetes com escalabilidade, escalonamento automático e atualização de aplicativos
• Integre o Kubernetes a um pipeline de integração contínua usando Jenkins
• Solucione problemas do Kubernetes monitorando logs, diagnosticando falhas de aplicativos e solucionando problemas de acesso à rede
• Compreender os conceitos fundamentais do Kubernetes e a arquitetura de clusters.
• Configurar e gerenciar clusters Kubernetes em ambientes de produção.
• Implantar, atualizar e gerenciar aplicativos em contêineres.
• Configurar e gerenciar armazenamento e redes em Kubernetes.
• Implementar práticas de segurança e controle de acesso em clusters Kubernetes.
• Monitorar e solucionar problemas em clusters Kubernetes para garantir alta disponibilidade e desempenho.
• Utilizar ferramentas e técnicas avançadas para a administração eficiente de clusters Kubernetes.

Publico Alvo

• Administradores de Sistemas e Redes.
• Engenheiros de DevOps.
• Desenvolvedores de Software que trabalham com contêineres.
• Arquitetos de Soluções.
• Profissionais de TI interessados em aprender Kubernetes.
• Qualquer pessoa responsável pela implantação, gestão e operação de aplicativos em contêineres em ambientes de produção.

Pre-Requisitos

• Compreenda as habilidades de administração do Linux
• Sinta-se confortável usando a linha de comando
• Ser capaz de editar arquivos usando um editor de texto de linha de comando
• Experiência com containers e networking

Materiais

Conteúdo Programatico

Kubernetes Architecture

1. Kubernetes Basics
2. What is Kubernetes?
3. Container Orchestration
4. Architecture Diagram
5. Components
6. Kubernetes Cluster
7. Master Node
8. Kube-Control-Manager
9. Nodes
10. Pod
11. Using Pods to Group Containers
12. Label
13. Label Syntax
14. Label Selector
15. Annotation
16. Persistent Storage
17. Resource Quota
18. Interacting with Kubernetes

Working with Kubernetes

1. Installation
2. Startup
3. Kubernetes Tools
4. kubectl Command Line Interface
5. API Proxy
6. Dashboard
7. Kubernetes Component Hierarchy
8. Deployments
9. Deployment Commands
10. Updating Deployments
11. Network Considerations
12. Services
13. Namespaces
14. Labels
15. Annotations
16. Other Useful Commands

Kubernetes Workload

1. Kubernetes Workload
2. Managing Workloads
3. Imperative commands
4. Imperative Object Configuration
5. Declarative Object Configuration
6. Configuration File Schema
7. Understanding API Version
8. Obtaining API Versions
9. Stateless Applications
10. Sample Deployment Manifest File
11. Working with Deployments
12. Stateful Applications
13. Sample Stateful Manifest File
14. Working with StatefulSet
15. Jobs
16. Sample Job Manifest File
17. Working with Batch Job
18. DaemonSets
19. Sample Daemon Manifest File
20. Rolling Updates

Scheduling and Node Management

1. Kubernetes Scheduler
2. Skip Kubernetes Scheduler
3. Scheduling Process
4. Scheduling Process - Predicates
5. Scheduling Process - Priorities
6. Scheduling Algorithm
7. Kubernetes Scheduling Algorithm
8. Scheduling Conflicts
9. Controlling Scheduling
10. Label Selectors
11. Node Affinity and Anti-affinity
12. Node Affinity Example
13. Node Antiaffinity Example
14. Taints and Tolerations

Managing Networking

1. Kubernetes Networking Components
2. The Kubernetes Network Model
3. Networking Scenarios
4. Container-Container Communication
5. Pod-Pod Communication
6. 1.3 Pod-Service Communication
7. External-Service Communication
8. Accessing Applications
9. Useful Commands
10. Container Network Interface (CNI)
11. What is CNI’s Role?
12. CNI Configuration Format
13. Sample CNI Configuration
14. Running the CNI Plugins

Managing Persistent Storage

1. Storage Methods
2. Container OS file system storage
3. Docker Volumes
4. Kubernetes Volumes
5. K8S Volume Types
6. Cloud Resource Types
7. configMaps
8. Creating configMaps from Literals
9. Creating configMaps from files
10. Using configMaps
11. emptyDir
12. Using an emptyDir Volume
13. Other Volume Types
14. Persistent Volumes
15. Creating a Volume
16. Persistent Volume Claim
17. Persistent Volume
18. Pod that uses Persistent Volume
19. Secrets
20. Creating Secrets from Files
21. Creating Secrets from Literals
22. Using Secrets
23. Security Context
24. Security Context Usage

Working with Helm

1. What is Helm?
2. Installing Helm
3. Helm and KUBECONFIG
4. Helm Features
5. Helm Terminology
6. Searching for Charts with helm CLI
7. Adding Repositories
8. Helm Hub - Search
9. Helm Hub - Chart Page
10. Installing a Chart
11. Upgrading a Release
12. Rolling Back a Release
13. Creating Custom Charts
14. Common Chart Files
15. Helm Templates
16. Installing A Custom Chart
17. Packaging Custom Charts

Logging, Monitoring, and Troubleshooting

1. Differences Between Logging and Monitoring
2. Logging in Kubernetes
3. Basic Logging
4. Logging Agents
5. Fluentd and Elastic Stack
6. Monitoring with Prometheus
7. Kubernetes and Prometheus - Metrics
8. Alerting
9. Debugging Pods
10. Debugging Nodes
11. Debugging Replication Controllers and Services
12. Upgrading Kubernetes
13. Upgrade Process
14. Determine Which Version to Upgrade To
15. Upgrade kubeadm
16. Upgrade Control Plane Node
17. Upgrade kubelet and kubectl
18. Upgrade Worker Nodes
19. Recovering From a Failure State

Continuous Integration Fundamentals

1. Jenkins Continuous Integration
2. Jenkins Features
3. Running Jenkins
4. Downloading and Installing Jenkins
5. Running Jenkins as a Stand-Alone Application
6. Running Jenkins on an Application Server
7. Installing Jenkins as a Windows Service
8. Different types of Jenkins job
9. Configuring Source Code Management(SCM)
10. Working with Subversion
11. Working with Git
12. Build Triggers
13. Schedule Build Jobs
14. Polling the SCM
15. Maven Build Steps
16. Configuring Jenkins to Access Kubernetes
17. Jenkins Pipeline
18. Jenkins Pipeline Output
19. Installing Jenkins Plugins

Kubernetes Cluster Administration Overview

1. Architecture Diagram
2. Components
3. Kubernetes Cluster
4. Master Node
5. Kube-Control-Manager
6. Nodes
7. Other Components
8. Interacting with Kubernetes

Planning and Designing a Kubernetes Cluster

1. Cloud Native Security
2. Code Security
3. Container Security
4. Cluster Security
5. Cloud/Data Source Security
6. Access Management
7. API Server Ports
8. API Access
9. Security Policies
10. RBAC Role Based Access Control
11. Role Example
12. ClusterRole Example
13. Granting Roles to Users
14. Security Contexts
15. Kubernetes Namespaces
16. Namespace Advantages
17. Initial Namespaces
18. Custom Namespaces
19. Namespaced Objects
20. kubectl Commands and Namespaces
21. Uses for Namespaces

Managing Kubernetes Clusters

1. Kubernetes Cluster
2. Points of Configuration
3. Sizing a Cluster
4. Resizing a Cluster
5. Horizontal auto-scaling
6. Maintenance on a Node
7. Kubernetes Cluster Limits
8. Considerations for Running Large Clusters
9. Considerations for Running Multiple Clusters
10. Multi-Cluster Architectural Choices
11. Resource Quotas
12. Example Resource Allocation
13. Cluster Failure Modes
14. Cluster Troubleshooting Workflow

Deployment Strategies

1. Rolling Updates
2. Parameters for Rolling Updates
3. Strategy Parameters in Deployment Specs
4. Deployment Strategies
5. Recreate
6. Ramped
7. Blue/Green
8. Canary
9. a/b Testing
10. Deployment Status
11. History
12. Versioning of Deployments
13. Labeling a Deployment Version in Kubernetes
14. Versioning with Helm
15. Deployment Tools

Autoscaling

1. Autoscaling
2. HorizonalPodAutoscaler (HPA)
3. Autoscale Command
4. Autoscale Yaml
5. Generating Traffic for Testing
6. Response to Changing Traffic
7. Get HPA --watch Mode
8. Scaling Based on Requested Resources
9. Scaling Based on Direct Value
10. Metrics Types for Scaling
11. Scaling Based on Multiple Metrics

Lab Exercises

• Lab 1. Creating a Docker Account and Obtain an Access Token
• Lab 2. Configuring Minikube/Kubernetes to Use a Custom Docker Account
• Lab 3. Accessing the Kubernetes API
• Lab 4. Working with Kubernetes Workloads
• Lab 5. Scheduling and Node Management
• Lab 6. Accessing Applications
• Lab 7. Using Persistent Storage
• Lab 8. Getting Started with Helm
• Lab 9. Build CI Pipeline with Jenkins
• Lab 10. Kubernetes Cluster Overview
• Lab 11. Planning a Kubernetes Cluster