NewUse Claude Code to autonomously optimize your codeLearn more Make code run at its best with full visibility and control
LLMs are great at writing code, but blind to how it runs in production. Give your agent line-level execution context.
GPU ProfilingDeep, continuous GPU performance visibility and insights.
Traditional CUDA profilers are built for debugging, not live systems. Polar Signals enables production-safe GPU profiling with minimal overhead. Learn more
Build faster, more efficient apps without the profiling overhead with Polar Signals Cloud
Always-on, low overhead
Safe to run continuously in production with minimal performance impact.
Deep kernel visibility
Per-kernel timing, CPU stack traces, and CUDA Graph support.
Direct, efficient data capture
No filesystem writes. No network overhead. Powered by CUPTI and eBPF.
AI-powered MCP server integration for continuous profiling and automated optimization.
Natural Language Interface
Using Natural Language tools like Claude Code, Cursor, or other LLMs enhances performance analysis.
Performance Insights
MCP lets Claude Code, Cursor, and other LLMs access real profiling data without manual chart review.
Smarter Code Optimization
AI connects performance data directly to the source code and suggests specific improvements.
LLMs quickly analyze and explain profiling data for faster insights
Run a single command to improve speed and optimize spend immediately.
kubectl apply -f polarsignals-agent-daemonset.yamlA single eBPF agent that runs on 
Kubernetes, works natively with 
Docker, scales across 
ECS, and deploys straight to 
Bare Metal — under 1% overhead, zero code changes, full profiling data in minutes.
Continuous profiling infrastructure for full-stack production visibility.
Zero-setup continuous profiling
Continuously collect low-overhead profiling data using eBPF — no code changes required, works across languages and production environments.
Global production visibility
Monitor production environments and view profiling data across your infrastructure to detect anomalies and identify meaningful opportunities.
Run high-performance GPU workloads with confidence.
NVIDIA Inception Program
Built with NVIDIA to bring GPU profiling and optimization insights to modern ML and inference workloads.
Google Cloud Marketplace
Discover and deploy Polar Signals through Google Cloud Marketplace with a streamlined procurement path.
AICPA SOC
Independent audit coverage aligned with SOC reporting expectations for security-conscious teams.
NVIDIA Inception Program
Google Cloud Marketplace
AICPA SOCRun high-performance GPU workloads with confidence.
Built with NVIDIA to bring GPU profiling and optimization insights to modern ML and inference workloads.
Your unique profiling needs, supported by a platform purpose-built for modern infrastructure.
Flame Graphs make performance easy to see.
Visualize and understand how your application behaves with Polar Signals Cloud's Flame Graph.
Filter profiling data instantly by function.
Use function-level filtering to instantly access profiling data — no manual profiling required.
Prometheus-like query language support.
Slice profiling data with Prometheus-style selectors and custom dimensions across services.
Advanced label selectors for data queries.
Polar Signals Cloud features a label-selector query language across services and environments.
Analyze key differences between profiles.
Compare two profiling queries side-by-side to spot regressions and optimizations in exact code paths.
Know when code becomes slow.
Automatically detect regressions, optimizations, and issues over time — trace them to the exact code line.
OpenTelemetry compatible by default.
Use standard OpenTelemetry support with an optional optimized protocol for higher-efficiency data collection.
Trusted and loved by engineers and companies worldwide
“By making the root cause for most performance issues painfully obvious, Polar Signals Cloud lets our engineering teams skip the debate about why so they can focus on the fix.”
Dan Gillespie CTO at Indent
“Polar Signals allows us to troubleshoot and identify memory and CPU issues faster than ever before!”
Sandor Szücs Platform Engineer at Zalando
“Polar Signals’ strategy with eBPF is the only way continuous profiling works with production workloads, anything else has too much overhead. We tried other tools and it was just performance prohibitive for us to use.”
Jimmy Zelinskie Co-Founder at Authzed
“Within 15 minutes of using Polar Signals we noticed an unexpectedly large (55%) CPU usage by a single workload.”
Xander Garbett SRE at Thought Machine
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