π Observability: Focus on the Problems, Not Just the Tools
Too many teams adopt Prometheus, Loki, Tempo, and Grafana because theyβre βstandard.β But real observability is about solving problems β not collecting data.
π§ The Real Question
When something goes wrong in production, you donβt ask:
βWhich dashboard looks coolest?β
You ask:
- βWhy is my FastAPI app slow right now?β
- βWhat caused all these 500 errors?β
- βIs our new deploy breaking something?β
If your tools can't help answer those questions quickly, you don't have observability β you have monitoring noise.
π― Problem-First Thinking
Letβs 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:
β Problem | β Solution | π 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 |
π§ Stack Architecture β Reframed
Traditional View:
A diagram showing all tools wired together.
Problem-Focused View:
-
π§ Need: Know when something breaks
β Use Prometheus for metrics + alerts -
π Need: Understand what broke and why
β Use Loki for log context + errors -
β±οΈ Need: Track what happened during a request
β Use Tempo and OpenTelemetry for tracing -
π Need: Correlate and visualize everything
β Use Grafana as the central interface
π Real Example: API Latency Spike
You see a latency spike on /api/orders
.
Hereβs how the stack helps:
- Prometheus shows the spike in response time
- Grafana alert fires, and you click the dashboard
- You follow a Tempo trace from that request
- Trace shows DB query took 1.2s β thatβs the bottleneck
- You jump into Loki logs by trace ID
- Error message confirms:
Missing index on orders.created_at
π Metrics β Trace β Logs β Resolution
All in one flow, from a single alert.
β Takeaway
Donβt 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.
π Learn More: