Visão Geral

Este curso aborda a implantação, configuração, administração e operação do Apache Kafka em ambientes Kubernetes. O participante aprenderá a utilizar operadores e recursos nativos do Kubernetes para implementar clusters Kafka, configurar brokers, controllers, storage persistente, networking, segurança, observabilidade, escalabilidade e alta disponibilidade. O curso também explora estratégias de atualização, recuperação, otimização de desempenho e troubleshooting para ambientes Kafka Cloud Native.

Objetivo

Após realizar este curso, você será capaz de:

• Implantar clusters Apache Kafka em Kubernetes
• Utilizar operadores para gerenciamento automatizado do Kafka
• Configurar brokers, controllers, topics e storage
• Implementar persistência e alta disponibilidade
• Configurar networking e segurança
• Escalar clusters Kafka de forma controlada
• Monitorar desempenho e saúde dos clusters
• Executar upgrades, backups e procedimentos de recuperação
• Diagnosticar problemas em ambientes Kafka Kubernetes

Publico Alvo

• Administradores de Kubernetes
• Administradores de Apache Kafka
• Engenheiros DevOps
• Engenheiros de Cloud
• Engenheiros de Dados
• Engenheiros de Infraestrutura
• Profissionais Platform Engineering
• Arquitetos de Soluções

Pre-Requisitos

• Conhecimentos equivalentes ao curso Apache Kafka Administration
• Conhecimentos básicos de Kubernetes
• Familiaridade com Docker e containers
• Conhecimentos de Linux e redes TCP/IP
• Noções de Kafka topics, partitions e consumer groups

Conteúdo Programatico

Module 1: Apache Kafka and Kubernetes Architecture

1. Kafka architecture review
2. Kubernetes architecture review
3. Cloud Native Kafka
4. Stateful workloads
5. Kafka deployment models
6. Production architecture considerations

Module 2: Kafka Operators and Declarative Management

1. Kubernetes Operators
2. Kafka Operator architecture
3. Custom Resource Definitions
4. Declarative Kafka configuration
5. Automated lifecycle management
6. Operator-based administration

Module 3: Kafka Cluster Deployment

1. Kafka cluster provisioning
2. Broker configuration
3. KRaft controllers
4. Cluster topology
5. Kafka Services
6. Cluster health management

Module 4: Storage and Persistence

1. Persistent Volumes
2. Storage Classes
3. Kafka log storage
4. Storage performance
5. Disk sizing and capacity planning
6. Data recovery strategies

Module 5: Topics, Partitions and Consumer Groups

1. Topic management
2. Partition configuration
3. Replication factors
4. Consumer Group administration
5. Partition rebalancing
6. Data retention policies

Module 6: Networking and Security

1. Kubernetes networking
2. Kafka listeners
3. Internal and external access
4. TLS encryption
5. SASL authentication
6. Authorization and ACLs

Module 7: High Availability and Scaling

1. Kafka replication architecture
2. Controller availability
3. Broker failure handling
4. Partition reassignment
5. Cluster scaling
6. Kubernetes pod distribution

Module 8: Monitoring and Performance

1. Kafka metrics
2. Prometheus integration
3. Grafana dashboards
4. Consumer lag monitoring
5. Broker performance analysis
6. Resource optimization

Module 9: Upgrades, Backup and Disaster Recovery

1. Kafka version upgrades
2. Rolling upgrades
3. Operator upgrades
4. Configuration migration
5. Backup strategies
6. Disaster recovery planning

Module 10: Troubleshooting Kafka on Kubernetes

1. Pod and container troubleshooting
2. Kafka broker diagnostics
3. Network troubleshooting
4. Storage troubleshooting
5. Consumer lag analysis
6. Root cause analysis

Module 11: Kafka Cloud Native Operations

1. Infrastructure automation
2. GitOps concepts
3. Configuration as code
4. Environment management
5. Multi-cluster Kafka
6. Operational best practices

Module 12: Kafka on Kubernetes Workshop

1. Kafka cluster deployment
2. Operator-based administration
3. Persistent storage configuration
4. Security and external connectivity
5. Scaling, monitoring and failure recovery
6. Final Kafka on Kubernetes architecture project