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The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

REST, RPC, and gRPC are different methods for communication in software systems.

Protobuf schema evolution requires careful changes to avoid breaking existing clients.

Alerting helps notify the right people about production issues quickly.

API Gateway, Proxy, and Load Balancer serve different roles in managing requests and traffic in systems.

The TCP 3-way handshake ensures reliable connection establishment between a client and server.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Microservices can communicate using five key patterns based on their needs.

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

2-Phase Commit helps maintain data consistency in transactions across multiple databases.

REST API design focuses on creating clean, efficient, and scalable web services.

Older offsets can overwrite newer ones in Kafka if not handled properly.

Failover ensures systems remain operational by managing leader changes during failures.