Rust Error Tracking and Performance Monitoring
Debug Rust apps and prevent crashes across your entire stack. Trace Rust performance issues back to a poor performing API call and surface any related code errors. Sentry provides a single platform to optimize the performance of Rust code and deliver fast customer experiences.
Getting Started is Simple
Grab the Sentry Rust SDK:
[dependencies] sentry = "0.42.0"
The most convenient way to use this library is the sentry::init function, which starts a Sentry client with a default set of integrations, and binds it to the current Hub. :
let _guard = sentry::init(("https://examplePublicKey@o0.ingest.sentry.io/0", sentry::ClientOptions { release: sentry::release_name!(), ..Default::default() }));
In Rust, you can capture and std::error::Error type.
let result = match function_returns_error() { Ok(result) => result, Err(err) => { sentry::capture_error(&err); return Err(err); } }
Check our documentation for the latest instructions.
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Rust Error Monitoring With Complete Stack Traces
See details like filename and line number so you never have to guess with Rust errors. Filter and group Rust exceptions intuitively to eliminate noise. Monitor errors at scale without impacting throughput in production.
Fill In The Blanks About Rust Errors
Reproduce errors without user feedback. Sentry’s Rust error monitoring includes each bug’s history of events and actions.
Understand The Bigger Picture
Use issue graphs to understand frequency, scope, and impact of Rusterrors and prioritize what needs to be fixed. Get alerts via email, SMS, or chat when bugs make it into production without disrupting your development workflow.
“Sentry helps our team fix the most important issues in each release.”
See The Full Picture Of Any Rust Error
Understand the context that contributed to errors with tags and relevant information about your software, environment, and users.
You can also submit optional custom data to provide extra context for bug tracking that is unique to your application and business.
Find answers to key questions: Which clients’ users experienced this bug? Was their game running in 32 bit or 64 bit mode?
It’s why companies that don’t have a complete view of their infrastructure are being punished:
The average cost of network downtime is around $5,600 per minute — or $300,000 per hour.
1 out of 5 online shoppers will abandon their cart because the transaction process was too slow.
On average, a two-second slowdown in page load decreases revenues by 4.3 percent.