Our new and faster profiler dashboard
Learn more about our new and improved profiler dashboard and how we made the switch from SVG to Canvas
Learn more about our new and improved profiler dashboard and how we made the switch from SVG to Canvas
And how we made it happen
Unwinding Deep PyTorch Training Stacks with eBPF
Optimize your infrastructure autonomously every day with Claude Code and Polar Signals
Polar Signals Cloud now resolves minified JavaScript and TypeScript profiles back to original source code using source maps.
How to use it with Polar Signals & Parca
See CPU time, memory allocations, and other profiling metrics as inline annotations directly in your source code.
Represent your organization in Polar Signals
How Profilers Work: Part 1
A new way to visualize a function’s callers and callees side by side.
The easiest way to get started Profiling CUDA in Kubernetes
Correlate Application-Specific Data With Profiles
Low-Overhead Profiling of GPUs with USDT Probes and eBPF
How we improved our Flame Graph rendering by moving computation to the backend.
Collect and upload profiles -- even without a network connection
How Off-CPU profiling works and how to get the most out of it
Application Performance engineering debt could live a long time without noticed and cause a significant overhead in developing new features, performance and the cost of operation.
Attending ai.engineer 2025 in San Francisco
Exploring how well the various forms of PGO work
Why profiling data is low-risk, high-value observability
Optimize your infrastructure autonomously every day with Claude Code and Polar Signals
How to use it with Polar Signals & Parca
Low-Overhead Profiling of GPUs with USDT Probes and eBPF

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