Visão Geral

Este curso aprofunda técnicas avançadas de Event Sourcing, abordando desde modelagem complexa de domínios até estratégias robustas para snapshots, versionamento, replays, otimização e operação em produção. Você aprenderá como lidar com grandes volumes de eventos, topologias distribuídas, consistência, evolução do sistema e padrões avançados como Sagas, Event Carried State Transfer, Temporal Models e replays seletivos.

Objetivo

Após realizar este curso, você será capaz de:

• Projetar sistemas event-sourced altamente complexos
• Criar modelos de domínio com múltiplos agregados distribuídos
• Implementar estratégias avançadas de snapshots e replays
• Gerenciar versionamento e evolução de eventos
• Criar pipelines de eventos resilientes e auditáveis
• Operar, depurar e otimizar sistemas event-sourced em produção
• Integrar CQRS, Sagas e event orchestration de forma eficiente

Publico Alvo

• Engenheiros de Dados
• Desenvolvedores Backend experientes
• Arquitetos de Software
• Tech Leads
• Profissionais que já dominam os conceitos básicos de Event Sourcing
• Times que operam sistemas event-driven em produção

Pre-Requisitos

• Conhecimento intermediário/avançado de Event Sourcing
• Noções de DDD (desejável)
• Experiência em sistemas distribuídos
• Entendimento de mensageria (Kafka, Pulsar ou similar)
• Experiência com linguagens backend

Conteúdo Programatico

Module 1 — Deep Dive into Event Sourcing Principles

1. Revisiting core principles
2. Hidden pitfalls in advanced domains
3. Handling extremely high event throughput

Module 2 — Advanced Aggregate Design

1. Multi-aggregate transactional boundaries
2. Aggregate clusters and distributed invariants
3. Designing event-driven domain invariants

Module 3 — Event Modeling at Scale

1. Complex domain decomposition
2. Multi-stream event modeling
3. Temporal modeling and time-aware domain logic

Module 4 — Advanced Snapshots

1. Selective snapshots
2. Snapshotting strategies for large aggregates
3. Snapshot stores and hybrid models
4. Performance optimization with snapshot deltas

Module 5 — Event Versioning & Evolution

1. Schema evolution strategies
2. Event upcasters & version migration
3. Forward/backward compatibility
4. Soft migration vs full event reprocessing

Module 6 — Event Replay Techniques

1. Full vs partial replays
2. Replay scheduling strategies
3. Correcting corrupted projections
4. Safe replay in production environments

Module 7 — Distributed Consistency & Coordination

1. Eventual consistency at scale
2. Ordering guarantees
3. Distributed sagas
4. Process managers for complex workflows

Module 8 — CQRS+ES Advanced Integration

1. Multi-model materialized views
2. Handling update storms
3. Real-time read-side optimizations

Module 9 — Error Handling and Recovery

1. Poisoned events and event quarantines
2. Error recovery workflows
3. Replay-based healing techniques

Module 10 — Observability in Event-Sourced Systems

1. Event tracing across distributed boundaries
2. Temporal debugging
3. Monitoring replay behavior
4. Event flow metrics

Module 11 — Performance Optimization

1. Event compaction strategies
2. Read-side scaling techniques
3. Storage optimization for long event histories

Module 12 — Operating Event Sourcing in Production

1. Blue/green deploys with event replays
2. Backfill strategies
3. Scaling projections and consumers
4. Disaster recovery and event backups

Module 13 — Event-Oriented Architecture Patterns

1. Event Carried State Transfer
2. Choreography vs orchestration (advanced view)
3. Transactional outbox revisited
4. Temporal workflows

Module 14 — Capstone Project

1. Designing and implementing a fully advanced event-sourced system
2. Versioned events, snapshots, sagas, projections
3. Simulating failures and performing recovery
4. Deploying a production-grade solution