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πŸ” Observability: Focus on the Problems, Not Just the Tools

Too many teams adopt Prometheus, Loki, Tempo, and Grafana because they’re β€œstandard.” But real observability is about solving problems β€” not collecting data.


🧭 The Real Question

When something goes wrong in production, you don’t ask:

β€œWhich dashboard looks coolest?”

You ask:

  • β€œWhy is my FastAPI app slow right now?”
  • β€œWhat caused all these 500 errors?”
  • β€œIs our new deploy breaking something?”

If your tools can't help answer those questions quickly, you don't have observability β€” you have monitoring noise.


🎯 Problem-First Thinking

Let’s flip the narrative. Instead of documenting tools like this:

  • Prometheus: for metrics
  • Loki: for logs
  • Tempo: for traces
  • Grafana: to visualize everything

Try this instead:

❓ Problem βœ… Solution πŸ›  Tool
API is slow, but why? Show end-to-end request trace Tempo
Requests are failing suddenly Find logs with errors around the spike Loki
Need to alert on high error rates Alert when metrics exceed thresholds Prometheus
Want everything in one place Correlate metrics, logs, traces Grafana

🧠 Stack Architecture β€” Reframed

Traditional View:

A diagram showing all tools wired together.

Problem-Focused View:

  • πŸ”§ Need: Know when something breaks
    β†’ Use Prometheus for metrics + alerts

  • πŸ” Need: Understand what broke and why
    β†’ Use Loki for log context + errors

  • ⏱️ Need: Track what happened during a request
    β†’ Use Tempo and OpenTelemetry for tracing

  • πŸ“Š Need: Correlate and visualize everything
    β†’ Use Grafana as the central interface


πŸ›  Real Example: API Latency Spike

You see a latency spike on /api/orders.

Here’s how the stack helps:

  1. Prometheus shows the spike in response time
  2. Grafana alert fires, and you click the dashboard
  3. You follow a Tempo trace from that request
  4. Trace shows DB query took 1.2s β€” that’s the bottleneck
  5. You jump into Loki logs by trace ID
  6. Error message confirms: Missing index on orders.created_at

πŸ” Metrics β†’ Trace β†’ Logs β†’ Resolution
All in one flow, from a single alert.


βœ… Takeaway

Don’t build observability for the sake of having dashboards.

Build it so when your app breaks at 2:14 AM, you know:

  • What broke
  • Why it broke
  • Where to fix it

That's what Prometheus, Loki, Tempo, and Grafana are for β€” when used right.


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