TestForge | Aidevops | 📊 Plogger ✍️ Blog 📚 Docs
plogger

AI DevOps Korea

Turn AI service development and operations into one improvement loop

Aidevops.kr covers LLMOps, RAG, agents, observability, evaluation, and cost-performance optimization for production AI services.

Backend Learning Path: Beginner to Advanced

· Updated Apr 29

Backend knowledge grows fastest when you learn in layers. First understand API structure, then reliability and data boundaries, and only after that move into distributed workflow patterns.

Beginner: build a solid API foundation

  1. Spring Boot REST API
  2. Node.js Express API
  3. FastAPI REST API

Focus on:

  • request validation and response boundaries
  • separating controllers from service logic
  • keeping business rules out of transport code

Intermediate: learn resilience and safe mutation patterns

  1. API Rate Limiting and Fairness Design
  2. API Idempotency Key Lifecycle Design
  3. Circuit Breaker with Resilience4j
  4. Redis Caching

Focus on:

  • how platforms protect shared capacity
  • how retries and duplicate requests behave safely
  • how dependency failure changes API behavior

Advanced: distributed architecture and workflow control

  1. Kafka Event-Driven Architecture
  2. Distributed Transactions with Outbox and Inbox
  3. Saga Orchestration vs Choreography
  4. Core MSA Patterns
  5. CQRS and Event Sourcing

Focus on:

  • data ownership and service boundaries
  • eventual consistency and compensation
  • operational visibility across distributed workflows

Expected outcome

After finishing this path, you should be able to design a backend that starts simple, grows safely, and only adopts distributed patterns when the operational trade-offs are justified.

Continue Reading

Related posts

Next Path

Keep exploring this topic as a system