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Navigating the Complexities of Service to Service Invocations: Deep and Brief Dive Into Causality

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Compares concrete tooling and tradeoffs: Istio + Envoy + Kiali captures HTTP call graphs from sidecars but shows mostly service edges; OpenTelemetry + Jaeger gives per-span details (manual or auto instrumentation, Micrometer/Observation API shown) yet sampling (~10% by default) means traces often miss specific business requests; an example system uses Kafka, a weather lookup and an AI call (CatGPT) to build an ice‑cream recommender and successfully displays nine-span traces; Dapr workflows demonstrate durable, queryable process instances and timeouts that reliably expose where a business flow stops.

AI-written summary · about

  1. 0:00Introduction
  2. 3:54Service mesh and call graphs
  3. 8:43Tracing with OpenTelemetry and Jaeger
  4. 13:17Business process workflows
  5. 18:59Summary
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