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The fourth pillar of observability: What is profiling and how does Grafana Pyroscope work?

Observability is based on three pillars, the so-called “metrics, logs and traces”. Metrics tell us that something is wrong (e.g. a spike in CPU usage), logs help us understand what happened at a specific moment, while tracing shows which service in a distributed system is the bottleneck. Recently, however, a fourth level of detail has been added to these three pillars - profiling. It tells us exactly which function, and even which line of code, is consuming specific resources.

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Grafana Pyroscope

The fourth pillar of observability: What is profiling and how does Grafana Pyroscope work?

Observability is based on three pillars, the so-called “metrics, logs and traces”. Metrics tell us that something is wrong (e.g. a spike in CPU usage), logs help us understand what happened at a specific moment, while tracing shows which service in a distributed system is the bottleneck. Recently, however, a fourth level of detail has been added to these three pillars - profiling. It tells us exactly which function, and even which line of code, is consuming specific resources.

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Grafana_LGTM_stack_observability

Grafana LGTM stack as the foundation of modern observability architecture

Modern IT environments are significantly more complex than they were just a few years ago. Kubernetes, microservices, multi-cloud architectures, and distributed systems have made traditional infrastructure monitoring approaches insufficient. That is why more and more organizations are building observability platforms based on three telemetry pillars.

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Monitoring syntetyczny aplikacji webowych i serwisów www.jpg

Synthetic monitoring of web applications and online services

The infrastructure is working. All servers are green. Databases are responding. And yet, at 09:14 in the morning, the customer support department receives a call: I can’t log in to the application. Your monitoring saw nothing. But the user saw everything.

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