[정리] 최근 정리했던 서버 시스템들

완전 간단하게 정리했던 서버 시스템들.

서버시스템_2015.png

서버시스템_2015.mm

서버시스템

• Front-end :
  
• Angular, React.js, Vue  : https://medium.com/unicorn-supplies/angular-vs-react-vs-vue-a-2017-comparison-c5c52d620176
• Test : Karma. Protractor. Jasmine.  https://blog.outsider.ne.kr/1020
  
• build : Grunt. https://medium.com/sunhyoups-story/grunt%EC%99%80-bower%EB%A5%BC-%EC%9D%B4%EC%9A%A9%ED%95%9C-%EC%9B%B9-%ED%94%84%EB%A1%A0%ED%8A%B8%EC%97%94%EB%93%9C-%EC%A0%9C%EC%9E%91%ED%95%98%EA%B8%B0-bfa32e6614c1
• package 관리 : Bower by twitter
• https://images.guide/
  
• Queue
• In-memory cache
• EHCache => Caffeine
  
• cache server
• Redis
• Circuit Breaker
  
• Hystrix
  
• disk / file system
• rdbms
  • 닭치고 read에는 MySQL이 짱이라는소문도...
  • MHA+고사양장비로 고질적 문제들 상당부분 해결됨
  • DokuDB, Lossless Replication. HikariCP(Connection Pool)
    
• graphdb / s2graph
• disk -> DAS/NAS -> hdfs
• No-SQL
• Kafka
• Impala / Hive / Pig / Mahout
• HBase / Cassandra
• DSMS / Spark
• parallel programming
• multi threading
• AOP
• nio -> NIO / AKKA
• nginx/nodejs (?)
• AWS
• docker
  • Why run a container cluster?
    • http://googlecloudplatform.blogspot.kr/2015/01/what-makes-a-container-cluster.html
• Mesos, Docker, Marathon

  • http://www.recorditblog.com/post/how-to-create-a-web-scale-infrastructure-based-on-docker-coreos-vulcand-and-mesos-and-why-object-storage-becomes-the-de-facto-data-repository/

• Mesosphere
  • https://mesosphere.com/
  • Datacenter Operating System
• consul
  • service discovery / failure detection
  • DNS, HTTP 지원 => 기존 DNS에 프로그래밍 특성 제공
  • programmable DNS 정도? 클러스터는 FQDN으로 관리
  • https://www.consul.io/

• application level

  • 멀티 쓰래딩
  • 멀티 프로세싱
  • In memory cache
  • cache server
• request level
  • thread pool/worker 방식
  • event queue 방식
  • Message Queue
  • Kafka
• storage level
  • one disk
  • RAID 1+0
  • NAS/DAS/SAN
  • HDFS
    • no-modify!!
      • 새로운 revision으로 파일 생성!
• Mgmt of Data
  • file
  • NoSQL
    • Key - Value store
    • Column-family
    • Document
  • RDBMS
  • graph db
    • http://www.quora.com/What-are-the-pros-and-cons-of-using-a-graph-database
• Big Data
  • Hadoop / MapReduce
  • HBase, Pig, Hive, Mahout
  • Impala
  • Spark Streaming
    • http://www.slideshare.net/yongho/rdd-paper-review p15
• Distributed
  • Zookeeper
  • Consul

서버시스템_2015.mm

0.01MB

서버시스템_2015.png

0.16MB