"Capacity planning today is educated guessing. Real validation happens in production."
Bottleneck Studio lets you test your assumptions before they become incidents.
How It Works
Build
Drag sources, queues, and workers onto the canvas to model your system
Configure
Set arrival rates, processing times, concurrency, and failure rates
Simulate
Run thousands of messages through your model and see where it breaks
What You Can Do
Model realistic latency
Choose from multiple distribution types to match how your services behave in production.
Start
Simulate traffic spikes
Shape traffic with ramps, spikes, or custom curves to see how load affects your system.
Inject failures
Introduce outages, degraded performance, or latency spikes to test system resilience.
Test correlated failures
Model availability zones and shared dependencies that can fail together.
Run what-if scenarios
Parameterize your model and tweak values on the fly to explore tradeoffs.
Measure what matters
See latency percentiles, throughput over time, and whether you're meeting your SLOs.
Model bandwidth limits
Cap connection throughput to see how network constraints ripple through your system.
Handle fan-in patterns
Synchronize parallel paths, deduplicate messages, or race concurrent requests.
Build error paths
Route failures, timeouts, and rejected messages to retries or dead-letter queues.