Application Performance Should Be Measurable — Anytime, in Real-Time
Katrin Peter 2 Minuten Lesezeit

Application Performance Should Be Measurable — Anytime, in Real-Time

When running applications in production, you don’t need pretty dashboards, but hard data. Performance issues never arise when there’s time for debugging. They occur precisely when systems are under load, services are running at peak load, external dependencies start to falter, or network latencies gradually build up.
monitoring apm performance observability kubernetes prometheus grafana

When running applications in production, you don’t need pretty dashboards, but hard data. Performance issues never arise when there’s time for debugging. They occur precisely when systems are under load, services are running at peak load, external dependencies start to falter, or network latencies gradually build up.

The question isn’t whether you’ll eventually find out why the stack is underperforming. The question is whether you can see it early enough to intervene before the customer notices.

Application Performance Monitoring (APM) must deliver in real-time.

This doesn’t involve isolated solutions. It’s not enough to tweak a few logs or plot CPU usage. To properly set up APM, you need:

  • Metrics: Live system states, precisely aggregated, captured in real-time, and cleanly correlated.
  • Logs: Event-based logs, contextually prepared, searchable, and consistently traceable.
  • Traces: Distributed request chains, through all services, across microservice architectures, with a clear visualization of the entire call chain.

Without tracing, there’s no root cause analysis. Without logs, there’s no forensic examination. Without metrics, there’s no real-time control.

And that’s exactly what our APM Stack delivers: Not cobbled-together tools, but a coordinated system built for productive operational environments:

  • Prometheus for high-frequency metric collection
  • Loki for scalable log management
  • Tempo for distributed tracing
  • Grafana for centralized, continuous visualization and correlation

All orchestrated on Kubernetes, highly available, resilient under peak load, and fully automatable via infrastructure pipeline.

APM quickly becomes a core function as operations scale.

Running applications under production load today without a proper APM stack is like driving blind. Performance issues don’t arise at release, but under real load conditions. Without real-time transparency here, you’ll eventually pay with downtimes.

The systems already provide the data. The only question is whether you aggregate, process, and make it usable properly.

Application Performance Monitoring is not a reporting feature. It’s an operational tool.

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