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827What is a Service Mesh?
828The Sidecar Proxy Pattern
829Why Service Meshes Emerged
830Service Mesh vs Library-Based Solutions
831Transparent vs Explicit Proxying
832Service Discovery in a Mesh
833Polyglot Microservices Support
834Service Mesh Performance Overhead
835When You Don't Need a Service Mesh
836Service Mesh Adoption Path
837Service Mesh Architecture: Control vs Data Plane
838Data Plane: Sidecar Proxy Pattern
839Data Plane: Proxy Responsibilities
840Data Plane: Envoy Proxy Fundamentals
841Data Plane: Performance and Latency Overhead
842Control Plane: Configuration Management
843Control Plane: Service Discovery Integration
844Control Plane: Certificate Management
845Control Plane: Telemetry Collection
846Control Plane: API and User Interface
847Plane Separation: Scalability and Reliability
848Traffic Management and Routing
849Load Balancing Strategies in Service Mesh
850Service Discovery Integration
851Mutual TLS (mTLS) Authentication
852Circuit Breaking at the Mesh Level
853Retry Policies and Timeout Configuration
854Request-Level Authorization
855Observability: Distributed Tracing
856Observability: Metrics Collection
857Traffic Mirroring (Shadowing)
858Fault Injection for Testing
859Rate Limiting at Service Boundaries
860Multi-Cluster and Multi-Tenancy
861Istio: Architecture and Components
862Linkerd: Lightweight Service Mesh
863Consul Connect: HashiCorp's Approach
864AWS App Mesh and Cloud-Native Meshes
865Performance Overhead: Latency and Throughput
866Operational Complexity and Learning Curve
867Resource Consumption at Scale
868When Service Mesh Adds Value
869Alternatives to Full Service Mesh

827What is a Service Mesh?
828The Sidecar Proxy Pattern
829Why Service Meshes Emerged
830Service Mesh vs Library-Based Solutions
831Transparent vs Explicit Proxying
832Service Discovery in a Mesh
833Polyglot Microservices Support
834Service Mesh Performance Overhead
835When You Don't Need a Service Mesh
836Service Mesh Adoption Path
837Service Mesh Architecture: Control vs Data Plane
838Data Plane: Sidecar Proxy Pattern
839Data Plane: Proxy Responsibilities
840Data Plane: Envoy Proxy Fundamentals
841Data Plane: Performance and Latency Overhead
842Control Plane: Configuration Management
843Control Plane: Service Discovery Integration
844Control Plane: Certificate Management
845Control Plane: Telemetry Collection
846Control Plane: API and User Interface
847Plane Separation: Scalability and Reliability
848Traffic Management and Routing
849Load Balancing Strategies in Service Mesh
850Service Discovery Integration
851Mutual TLS (mTLS) Authentication
852Circuit Breaking at the Mesh Level
853Retry Policies and Timeout Configuration
854Request-Level Authorization
855Observability: Distributed Tracing
856Observability: Metrics Collection
857Traffic Mirroring (Shadowing)
858Fault Injection for Testing
859Rate Limiting at Service Boundaries
860Multi-Cluster and Multi-Tenancy
861Istio: Architecture and Components
862Linkerd: Lightweight Service Mesh
863Consul Connect: HashiCorp's Approach
864AWS App Mesh and Cloud-Native Meshes
865Performance Overhead: Latency and Throughput
866Operational Complexity and Learning Curve
867Resource Consumption at Scale
868When Service Mesh Adds Value
869Alternatives to Full Service Mesh

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Lesson 856 of 1,919·22. Service MeshPro lesson

Observability: Metrics Collection

Service mesh generates golden signals (latency, traffic, errors, saturation) without code instrumentation.

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