Use case · Microservices

Trace every request across every service.

When a request touches a dozen services, KloudMate shows you the whole path: which hop was slow, which call errored, and the logs and infra behind it. No more guessing which service to blame.

POST /chat — KloudMate Traces KloudMate · Traces Trace · GenAI workflow POST /chat Duration 2.41s Tokens 3,840 Cost $0.042 Fallbacks 1 Span Duration generate_answer 2.41s pinecone.query 170ms openai.chat gpt-4o 1.35s tool get_order 290ms openai.chat fallback 330ms

Used by engineers from

  • SprintMoney
  • Rocketium
  • Codeifai
  • Ostrum
  • Soffit
  • Microsoft
  • WeCheer
  • HealthifyMe
  • Smartbox

In a microservices architecture, the slow service is rarely the broken one.

A latency spike in checkout might trace back to an inventory call three hops away. KloudMate connects traces, logs, and infrastructure so you follow the request to the service that actually caused the problem.

Built for distributed systems

Follow a request end to end and land on the service, call, or query that owns the issue.

End-to-end distributed tracing

See every span across services on one timeline and spot the hop that added the latency.

Service maps and dependencies

Visualize how services call each other and where errors and latency propagate.

Logs and traces, correlated

Jump from a slow span to its logs without switching tools or losing the request context.

Down to the infrastructure

Tie a service regression to the node, pod, or database behind it instead of stopping at the symptom.

Get started

From telemetry to root cause,
in one platform.

Connect your OpenTelemetry pipeline, AWS integrations, or eBPF agent. Distributed tracing, log management, alerting, and AI-assisted investigation: unified, with predictable pricing.