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Comparison of Current Service Mesh Architectures

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Compares concrete architectures and tradeoffs: library vs node agent vs sidecar and when each is needed, with practical outcomes like Envoy showing lowest latency and Linkerd2 claiming lower CPU and memory in some benchmarks. Walks through real components — Envoy, Istio, Linkerd, Kong, Aspen, Consul, AWS App Mesh — plus observability stacks (Prometheus, Jaeger, Grafana) and shows which lock you into AWS, which require code changes, and how mTLS, service discovery, load balancing and circuit breakers are actually implemented and measured.

AI-written summary · about

  1. 0:00Introduction
  2. 1:35What is a Service Mesh?
  3. 3:08What Capabilities Does a Service Mesh Provide?
  4. 6:45Key Benefits of a Service Mesh
  5. 7:41Service Mesh Architectures
  6. 11:37The Library Architecture
  7. 12:39The Node Agent Architecture
  8. 13:53The Sidecar Architecture
  9. 15:33Service Mesh Offerings for Kubernetes and Mesos
  10. 16:28Envoy's Sidecar Architecture
  11. 17:14Istio's Sidecar Architecture and integration with Envoy
  12. 18:12Linkerd 10 Node Agent/Sidecar Architecture
  13. 19:14Linkerd2 Sidecar Architecture
  14. 20:02Consul Node Agent Architecture
  15. 20:54Aspen Mesh Sidecar Architecture and integration with Istio
  16. 21:35Kong Enterprise Monolith, Microservice Service Mesh
  17. 23:43AWS APP MESH Sidecar Architecture and Integration with Envoy
  18. 27:12Linkerdland Linkerd 2 Feature Comparative Data
  19. 27:36Some Service Mesh Feature Comparative Data Continued
  20. 29:05Most Service Meshes use Prometheus with Grafana
  21. 29:47Some Service Mesh Performance Factors
  22. 30:44Some Service Mesh Comparative Performance Data
  23. 30:59Load Balancer Latency and Concurrency
  24. 31:23Hot Off the Press Testing - Linkerd2 vs Istio
  25. 32:13Service Meshes Architecture Pros and Cons
  26. 32:40Service Mesh Comparison Final Thoughts
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