Set Up Performance
With performance monitoring, Sentry tracks your software performance, measuring metrics like throughput and latency, and displaying the impact of errors across multiple systems. Sentry captures distributed traces consisting of transactions and spans, which measure individual services and individual operations within those services. Learn more about our model in Distributed Tracing.
The tracing integration is enabled by default for Ember, if you would like to disable it, the option can be found under Ember options.
To pass options to Ember's default tracing integration, see Automatic instrumentation
First, enable tracing and configure the sampling rate for transactions. Set the sample rate for your transactions by either:
- Setting a uniform sample rate for all transactions using the
tracesSampleRate
option in your SDK config to a number between0
and1
. (For example, to send 20% of transactions, settracesSampleRate
to0.2
.) - Controlling the sample rate based on the transaction itself and the context in which it's captured, by providing a function to the
tracesSampler
config option.
The two options are meant to be mutually exclusive. If you set both, tracesSampler
will take precedence.
import * as Sentry from "@sentry/ember";
Sentry.init({
dsn: "https://examplePublicKey@o0.ingest.sentry.io/0",
// We recommend adjusting this value in production, or using tracesSampler
// for finer control
tracesSampleRate: 1.0,
});
Learn more about performance monitoring options, how to use the tracesSampler function, or how to sample transactions.
While you're testing, set tracesSampleRate
to 1.0
, as that ensures that every transaction will be sent to Sentry.
Once testing is complete, you may want to set a lower tracesSampleRate
value, or switch to using tracesSampler
to selectively sample and filter your transactions, based on contextual data.
If you leave your sample rate at 1.0
, a transaction will be sent every time a user loads a page or navigates within your app. Depending on the amount of traffic your application gets, this may mean a lot of transactions. If you have a high-load, backend application, you may want to consider setting a lower tracesSampleRate
value, or switching to using tracesSampler
to selectively sample and filter your transactions, based on contextual data.
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").