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Taiki Ono
NoOps Meetup Tokyo #7
入門サービスメッシュ
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No content
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Agenda
● 業界がサービスメッシュに至るまでの変遷
● サービスメッシュの技術的要素を一部解説
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歴史
● 2011年8月 Finagle public release
● 2013年10月 SmartStack public release
● 2014年11月 Prana public release
● 2016年2月 Linkerd public release
○ 2017年4月 Linkerd v1.0 public release
○ 2018年9月 Linkerd v2 pubic release
● 2016年9月 Envoy public release
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Microservices 界の当時の状況
● Service discovery, routing, load balancing
● Observability outputs (stats, tracing, logging)
● Implementations of retry, circuit breaking, rate limiting, timeouts,
and other distributed systems best practices.
● Protocols (HTTP/1, HTTP/2, gRPC, databases, caching, etc.).
● Authentication and Authorization
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Upstreams
Architecture of SmartStack
proxy
app
Upstreams
Nerve
Synapse DB
Upstreams
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https://medium.com/netflix-techblog/prana-a-sidecar-for-your-netflix-paas-based-applications-and-services-258a5790a015
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Concept of Service Mesh
proxy
app
Control plane
Upstreams
proxy
Upstreams
proxy
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要素技術
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xDS API for data-plane configuration
proxy
app
Control plane
Upstreams
proxy
Upstreams
proxy
xDS API
xDS API
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Envoy config management via xDS APIs
● Envoy is a universal data plane
● xDS == * Discovery Service (various configuration APIs). E.g.,:
○ LDS == Listener Discovery Service, CDS == Cluster Discovery Service
● Both gRPC streaming and JSON/YAML REST via proto3!
● Central management system can control a fleet of Envoys avoiding
per-proxy config file hell
● Global bootstrap config for every Envoy, rest taken care of by the
management server
● Envoys + xDS + management system == fleet wide traffic management
distributed system
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List of xDS APIs
● Cluster Discovery Service
● Route Discovery Service
● Endpoint Discovery Service
● Listener Discovery Service
● Health Discovery Service
● Rate Limit Service
● Secret Discovery Service
● Metric Service
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xDS APIs
● API definitions (mirror) https://github.com/envoyproxy/data-plane-api
● Framework for Go https://github.com/envoyproxy/go-control-plane
● Framework for Java
https://github.com/envoyproxy/java-control-plane
● 基本的にデータソース (e.g. k8s API server) からデータを取得、いい感じな
データ構造に変換して配信
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Service Mesh Interface
Control plane
Tools
User area Product area
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まとめ Q&A
● Microservices の進展とともに分散システムの課題がいっぱい増えてきた
● 課題へのアプローチがライブラリモデルから out of process モデルへと変
遷してきた
● 同時に静的な設定ファイルモデルから動的なマネージメントサーバー方式へ
と変化してきた
Q&A: @taiki45 でも対応