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EliFuzz/Overview Table: Service Mesh. Observability and Tracing.md

Created August 29, 2023 17:00
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Overview Table: Service Mesh. Observability and Tracing
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Overview Table: Service Mesh. Observability and Tracing.md
Aspect Description
Metrics Collection Service meshes collect metrics about service performance, latency, error rates, and other relevant indicators. Helps identify bottlenecks, troubleshoot issues, and optimize service behavior. Popular monitoring system Integrations include Prometheus with Istio and Linked
Logging Service meshes generate logs containing information about incoming requests, outgoing responses, errors, and other events. Centralized logging systems like ELK Stack or Sumo Logic can ingest and analyze these logs, providing insights into service behavior and health
Distributed Tracing Service meshes support distributed tracing protocols like OpenTelemetry or Zipkin, allowing you to visualize the flow of requests across services and identify potential bottlenecks or failure points
Resilience and Fault Tolerance Service meshes provide various features to improve resilience and fault tolerance in microservices applications, such as load balancing, circuit breaking, and service discovery
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