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