Set Up Profiling
Learn more about how to configure our Profiling integration and start profiling your code.
By default, Sentry error events will not get trace context unless you configure the scope with the transaction, as illustrated in the example below.
If you're adopting Profiling in a high-throughput environment, we recommend testing prior to deployment to ensure that your service's performance characteristics maintain expectations.
Node profiling is available starting in @sentry/profiling-node
version 0.3.0
. You have to have the @sentry/node
(minimum version 7.44.1
) package installed.
npm install @sentry/node @sentry/profiling-node --save
To enable profiling, import @sentry/profiling-node
, add ProfilingIntegration
to your integrations
, and set the profilesSampleRate
.
const Sentry = require("@sentry/node");
const { nodeProfilingIntegration } = require("@sentry/profiling-node");
Sentry.init({
dsn: "https://examplePublicKey@o0.ingest.sentry.io/0",
integrations: [
// Add our Profiling integration
nodeProfilingIntegration(),
],
tracesSampleRate: 1.0,
// Set sampling rate for profiling - this is relative to tracesSampleRate
profilesSampleRate: 1.0,
});
// Profiling happens automatically after setting it up with `Sentry.init()`.
// All spans captured in your application will have profiling data attached to them.
// You can also manually capture spans with `startSpan`, as shown below:
Sentry.startSpan(
{
op: "rootSpan",
name: "My root span",
},
() => {
// Any code in this callback will be profiled.
},
);
This feature is currently in Beta. Beta features are still in progress and may have bugs. We recognize the irony.
_(New in version 8.28.0)
The current profiling implementation stops the profiler automatically after 30 seconds (unless you manually stop it earlier). Naturally, this limitation makes it difficult to get full coverage of your app's execution. We now offer an experimental continuous mode, where profiling data is periodically uploaded while running, with no limit on how long the profiler may run.
To get started with continuous profiling, you can start and stop the profiler directly with Sentry.profiler.startProfiling
and Sentry.profiler.stopProfiling
.
If you previously set profilesSampleRate
or profilesSampler
to use transaction-based profiling, you must remove those lines of code from your configuration in order to use continuous profiling.
const Sentry = require('@sentry/node');
Sentry.init({
dsn: "https://examplePublicKey@o0.ingest.sentry.io/0" ,
})
Sentry.profiler.startProfiling();
// run some code here
Sentry.profiler.stopProfiling();
These new APIs do not offer any sampling functionality—every call to start the profiler will run and start sending profiling data. If you are interested in reducing the amount of profiles that run, you must take care to do it at the callsites.
Continuous profiling has implications for your org's billing structure. This feature is only available for subscription plans that enrolled after June 5, 2024.
Under the hood, the Sentry profiler uses V8's CpuProfiler to collect stack samples. This means that sentry/profiling-node
is written as a native add-on for Node and won't run in environments like Deno or Bun. Profiling enhances tracing by providing profiles for individual transactions. This allows you to look at higher level performance information like transaction and span durations before diving deeper and looking at profiles.
The default mode of the v8 CpuProfiler is kEagerLogging which enables the profiler even when no profiles are active—this is good because it makes calls to startProfiling
fast with the tradeoff of constant CPU overhead. This behavior can be controlled via the SENTRY_PROFILER_LOGGING_MODE
environment variable with values of eager|lazy
. If you opt to use the lazy logging mode, calls to startProfiling
may be slow. (Depending on environment and node version, it can be in the order of a few hundred ms.)
Here's an example of starting a server with lazy logging mode:
# Run profiler in lazy mode
SENTRY_PROFILER_LOGGING_MODE=lazy node server.js
We recommend you have your own CPU resource-monitoring in place, because the actual resource use could be environment-dependent.
Starting from version 0.1.0
, the @sentry/profiling-node
package precompiles binaries for a number of common architectures. This minimizes the tooling required to run the package and avoids compiling the package from source in most cases, which speeds up installation. Currently, we ship prebuilt binaries for the following architectures and Node versions:
- macOS arm64: Node v16, v18, v20, v22
- macOS x64: Node v16, v18, v20, v22
- Linux arm64 (musl): Node v16, v18, v20, v22
- Linux x64 (glibc): Node v16, v18, v20, v22
- Windows x64: Node v16, v18, v20, v22
The set of common architectures should cover a wide variety of use cases, but if you have feedback or experience different behavior, please open an issue in the Sentry JavaScript SDK repository.
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").