Your app scales.
Until one morning, it doesn’t.
Your app scales.
Until one Monday morning, it doesn’t.
And users notice before you do.
Observability fixes this.
But only if you go all the way.
Metrics, traces, and logs are not enough.
You need context. Correlated. In real time.
Here’s what we did to simulate 10,000 trucks driving across Germany:
All at once. All sending toll location data.
And never missing a transaction.
Key tools:
→ k6
Simulated real vehicle speeds, routes, intervals.
10,000 virtual trucks ran for 8 hrs.
→ OpenTelemetry
Collected live traces, metrics, logs.
Fed into Grafana dashboards.
→ Grafana
Live system visibility. Tracked API lag, DB slowdowns.
What we found:
1. Database queries broke under peak load
Slowed down transaction writes by 62%
2. API endpoints throttled early
Limited real-time sync with clients
3. Lag in Kafka topics showed messages queuing up
Delays in toll calculation started compounding
Client could fix each issue before go-live.
The outcome:
→ System handled 10K concurrent trucks
→ Zero missed transactions
→ Rollout across Germany approved with confidence
Why does this matter?
Most systems break under scale.
But the signs are visible—if you instrument correctly.
OpenTelemetry reduces “guess and check.”
k6 gives you realism, not just load numbers.
Dashboards tell you exactly where friction happens.
Want the playbook?
It’s a 30-day system:
Week 1 — Baseline and setup
Week 2 — End-to-end instrumentation
Week 3 — Load tests with real-world usage
Week 4 — Report + dashboard + fixes
Stop assuming. Start measuring.
See every bottleneck before your users do.
Not after.
Check our case study here: road charging case study
💡 Want to apply this to your product? We built an Observability Starter Pack just for teams like yours: full OpenTelemetry setup, realistic load testing, and dashboards — all wrapped in a 30-day sprint.
🗓️ Book a free 30-min audit call to get started. Only 5 spots this month.