APM

Overview

In distributed systems, a single failure can be hidden deep in a service chain, logs may not capture full context, and manually correlating events across services is slow and error-prone. Application Performance Monitoring (APM) addresses this by observing, measuring, and analyzing application behavior. Kloudfuse APM is built on distributed tracing — the technique of following a single request as it moves across every service, database call, and queue it touches.

Distributed tracing makes those relationships explicit, letting you see the big picture of a request and then drill into the exact span that caused a slowdown or an error.

Kloudfuse APM lets you:

  • Browse every instrumented service and drill into its request rate, latency, and error rate

  • Follow a single request through the system with the Traces Explorer and its flame graph / waterfall views

  • Visualize how services depend on each other with the Service Map

  • Find the attribute that explains a latency spike or a batch of errors with K-Lens

  • Alert on request rate, latency, or error rate directly from a service, and correlate those alerts with infrastructure and logs — see Using APM: Monitoring, Debugging, and Alerting

Kloudfuse also provides auto-instrumentation for popular languages, lightweight agents for cloud-native environments, and integrations with Kubernetes, AWS, and other platforms — see APM Architecture, Concepts, and Workflow.

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