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.

Technology Trends Learning Path: Beginner to Advanced

· Updated Apr 29

Trend reading is only useful when it sharpens judgment. The goal of this category is not to collect hype, but to help you tell which shifts matter and why.

  1. Platform Engineering and the Internal Product Model
  2. AI-Native Product Operations

Focus on:

  • how organizational and product models are changing
  • how to connect headlines to real engineering workflow shifts

Intermediate: map major platform directions

  1. Kubernetes 1.34: What Platform Teams Should Watch
  2. JDK 25 LTS Adoption Guide
  3. PostgreSQL 18: What Matters

Focus on:

  • how release notes translate into adoption decisions
  • which changes matter operationally versus cosmetically

Advanced: interpret ecosystem direction strategically

  1. React Foundation: What It Means for Teams
  2. MCP and Agent Platform Trends 2026
  3. Kubernetes Platform Trends 2026

Focus on:

  • governance shifts and ecosystem power structure
  • which trends are likely to reshape platform choices
  • how to separate durable movement from short-term attention

Expected outcome

You should leave this path with better strategic judgment about which “latest” topics deserve your time and which are mostly noise.

Continue Reading

Related posts

Next Path

Keep exploring this topic as a system