Visão Geral
Curso SRE for Data Engineering. Este curso aplica os princípios de Site Reliability Engineering (SRE) ao contexto específico da Engenharia de Dados. O foco está em garantir confiabilidade, disponibilidade, previsibilidade e recuperação de pipelines e plataformas de dados, equilibrando inovação e estabilidade operacional em ambientes analíticos e de missão crítica.
Conteúdo Programatico
Module 1: SRE Foundations for Data Engineering
- What is SRE
- SRE vs traditional operations
- Reliability challenges in data systems
- Data-centric reliability
Module 2: Reliability Metrics for Data
- Data availability
- Data freshness
- Data correctness
- Consumer impact metrics
Module 3: Error Budgets for Data Pipelines
- Error budget concepts
- Budget policies
- Trade-offs between speed and stability
- Managing reliability debt
Module 4: Designing Reliable Data Pipelines
- Idempotency
- Dependency isolation
- Failure containment
- Safe retries
Module 5: Incident Management for Data
- Detecting data incidents
- Incident response workflows
- Communication strategies
- Incident resolution
Module 6: Postmortems and Learning
- Blameless culture
- Root cause analysis
- Actionable outcomes
- Continuous improvement
Module 7: Automation and Toil Reduction
- Identifying toil
- Automation strategies
- Self-healing pipelines
- Reliability automation
Module 8: Scaling SRE Practices
- Multi-team environments
- Platform ownership
- Reliability maturity models
- Long-term reliability planning