# InfoQ의 2022년 중점 기술들

> Clean Markdown view of GeekNews topic #6482. Use the original source for factual precision when an external source URL is present.

## Metadata

- GeekNews HTML: [https://news.hada.io/topic?id=6482](https://news.hada.io/topic?id=6482)
- GeekNews Markdown: [https://news.hada.io/topic/6482.md](https://news.hada.io/topic/6482.md)
- Type: news
- Author: [xguru](https://news.hada.io/@xguru)
- Published: 2022-05-03T10:17:04+09:00
- Updated: 2022-05-03T10:17:04+09:00
- Original source: [infoq.com](https://www.infoq.com/about-infoq/)
- Points: 8
- Comments: 3

## Topic Body

InfoQ는 자신들의 About에 올해 기사 편집시에 집중할 기술들을 정리해두고 매년 업데이트  
### Innovators   
- Rust  
- WASM   
- eBPF  
- ML@Edge   
- Project Loom   
- Java 16   
- DeFi   
- Federated Machine Learning   
- Differentiated Privacy   
- GPU/Vector Support for the JVM   
- Cutting Edge Performance   
  
### Early Adoptors  
- Software Ethics   
- Service Meshes   
- Microfrontends  
- Multicloud Practices   
- GraalVM (Compile to Native)  
- Hybrid Work Strategies   
- Serverless : Orchestration vs Choreography   
- DevEx   
- Org Hacking   
- Security & Customer Trust   
- Becoming a Better Developer   
- Edge Architectures & Wins  
- Finegrained Access Control / Zero Trust   
  
### Early Majority   
- DevOps in Practice   
- Chaos Engineering   
- Remote Working / WFH Strategies   
- SRE   
- Observability / Telemetry   
- React   
- Kubernetes Strategies   
- Operating Microservices   
- API Ergonomics   
- Reactive Architectures   
- Continuous Delivery   
- Streaming Systems   
- Microservice Patterns & Antipatterns   
- Modern Data Pipelines   
- Backend as a Frontend   
- Kafka   
- Lean & Process Improvements

## Comments



### Comment 9889

- Author: 525hm
- Created: 2022-05-03T10:48:30+09:00
- Points: 1

Java 17이 LTS이고 Spring 진영에서도 적극적으로 채택중인데 16을 적어둔 건 의외네요.

### Comment 9888

- Author: xguru
- Created: 2022-05-03T10:48:15+09:00
- Points: 1

예전에는 뭐를 골랐었나 뒤져 보는 것도 재미납니다.  
http://web.archive.org/web/20180831041820/https://www.infoq.com/about-infoq  
2016/17 : IoT, ML, AI, 컨테이너, 데이터 사이언스 분석 및 인프라, 웹 API, 모바일, HTML5, Javascript, Cloud   
2018 : AI & ML, 블록체인, Chaos Engineering, WebAssembly, Rust, Stream Processing, Kubernetes, FaaS, CQRS, Swift, DevOps, Microservices   
2020 : Data Mesh, Deep Learning, LinuxKit, C# 8, WASM, Autonomous Vehicles, Holacracy, Evolutionary Architectures, FaaS, Data Engineering, IoT Platforms, Chaos Engineering, Remote-Only Teams, MSA, Kubernetes, Event-Driven Architecture, Streaming Data Analytics..  
2021 : Project Valhalla, DeepLearning, GraalVM, Java 15, C# 9, Data Mesh, Quantum Computing, WASM, Operating MSA, Multi-cloud, GraphQL Federation, Service Mesh, IoT Data Pipelines, Micro-Frontends,..

### Comment 9887

- Author: xguru
- Created: 2022-05-03T10:18:18+09:00
- Points: 1

기술에 관심 가지는 회사들은 한 항목씩 골라서 주간 스터디 같은 걸 진행하면 좋을 리스트인듯 합니다.  
브라운백 세션(점심에 샌드위치 같은거 제공해서 먹으며 듣는) 같은거 해보면 어떨까 하네요.