Dash0 acquires Polar Signals

Continuous Profiling

Continuous profiling with zero compromise

Production-ready profiling with less than 1% overhead. No debug symbols in production binaries, just upload them via CI/CD

Continuous Profiler

Trusted by

Vercel
Notion
Braintrut
Canonical
fal
langchain
legora
materialize
modal
oqton
s2.dev
tigris
weaviate
Vercel
Notion
Braintrut
Canonical
fal
langchain
legora
materialize
modal
oqton
s2.dev
tigris
weaviate
Vercel
Notion
Braintrut
Canonical
fal
langchain
legora
materialize
modal
oqton
s2.dev
tigris
weaviate
Vercel
Notion
Braintrut
Canonical
fal
langchain
legora
materialize
modal
oqton
s2.dev
tigris
weaviate
Deployment

One-command Kubernetes deployment

Deploy the 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

See where your CPU time goes

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

Find the one thread holding up the rest

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

See exactly when things slow down

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

Spot your hottest functions instantly

Easily spot functions with hot code paths by using Stack Inverting, making it easier to see where optimization work will have the biggest impact

Frequently asked questions

With Continuous Profiling you can understand CPU and memory usage in production via multiple metrics, correlate CPU activity with the traces and spans running alongside it, and visualize CPU time spent as flame graphs to find out exactly what your code is busy doing.

No, you don’t have to use Kubernetes or even containers. The profiler just needs Linux 5.4+ with eBPF support.

Right now, the profiler collects CPU time by function (visualized as flame graphs) and memory allocations, with more metrics planned over time.

Continuous Profiling supports native languages like Go, Rust, and C/C++, plus interpreted and JIT-complied runtimes including Java, Python, Node.js, Ruby, PHP, and .NET.

Ship faster, waste less, spend smarter

Every unexplained CPU spike and memory leak is time and money. See exactly where performance drops, trace it to the exact function, and fix it before it costs you.