Profile Rust with Zero Compromise
Production-ready profiling with less than 1% overhead. No debug symbols in production binaries — just upload them via CI/CD.
One-command Kubernetes deployment
Deploy the Polar Signals Agent to your Kubernetes cluster with a single kubectl command. No complex configuration required - just paste the URL and you're profiling. Note: Kubernetes is not required - any Linux 5.4+ environment is sufficient.
Flamegraphs
View profiling data as Flamegraphs to clearly understand where your application spends most of its CPU time and which parts of the code are consuming the most resources.
Thread-aware flamegraphs
Understand when a single thread is dominating your workload and limiting overall performance. Group flamegraphs by thread or any custom label to uncover bottlenecks and identify opportunities for better parallelization.
Flamecharts
Track exactly when performance issues occur with Flamecharts, showing the chronological flow of your application's execution, revealing execution patterns and timing-related performance issues.
Stack Inverting
Easily spot functions with hot code paths by using Stack Inverting, making it easier to see where optimization work will have the biggest impact.
Memory Profiling for Rust
Instantly understand memory leaks using our Rust memory profiling integration. Spot functions with hot code using stack inverting and optimize your application's memory usage.
First instinct for our on-calls is now to check Polar Signals, whether memory grows unexpectedly quick, CPU is high, or we're planning how to get the next throughput increase in indexing - Polar Signals delivers the answer, fast.
Simon Eskildsen—CEO, Turbopuffer
A particularly nasty bug, where we had really high p99 latency for one of our customers, was diagnosed immediately by seeing a large On-CPU time span for an unexpected part of our system. After finding that issue, we were able to fix it quickly.
Sujay Jayakar—Co-Founder, Convex
68.37% of CPU was spent computing these checksums. With a one-line code change to enable hardware-acceleration on Graviton via the sha2 library, this went down to 31.82%. This improvement allows us to push at least 2x more throughput from these processes without increasing our compute spend.
Shikhar—CEO, S2
Polar Signals Cloud has become a critical product in our software lifecycle, from informing how and where to write high-performance code in development, to understanding how it behaves in production and using it to troubleshoot performance-related incidents. Nothing else gives us detail down to the process, thread, and line number and as actionable as Polar Signals Cloud can.
Nikhil Benesch—CTO, Materialize
