We’re excited to finally announce that Session Replay is now available for mobile applications in open beta for React Native, iOS and Android. Session Replay lets developers see a visual reproduction of user engagement with their app, so you can understand when, where, and how an error is impacting your app without having to repro it yourself or talk to a customer.
We are happy to announce that the Sentry NestJS SDK is now live.
PHP developers working with wordpress have been able to integrate Sentry into their application for error monitoring using a community maintained integration. With the latest release it now supports tracing and profiling as well.
Check out the latest release v7.17.0 to try it out,
A lot of noisy errors come from JavaScript that wasn't written by yourself. Browser extensions, code-injecting browsers, or widgets from third-party services all may throw errors that you cannot address.
There are two possibilities to filter out these kinds of errors:
allowUrls and denyUrls optionsthirdPartyErrorFilterIntegration (recommended)Directly search for relevant traces to help debug problems
We are happy to announce that the Sentry Solid SDK is now live.
With the 8.10.0 release of our Remix SDK includes improvements to our tracing experience, and resolved a number of old issues.
You can now simplify your remix instrumentation by opting-in like this:
const Sentry = require('@sentry/remix');
Sentry.init({
dsn: YOUR_DSN
// opt-in to new auto instrumentation
autoInstrumentRemix: true,
});
With this setup, you do not need to add e.g. wrapExpressCreateRequestHandler anymore. Additionally, the quality of the
captured data improves. The old way to use @sentry/remix continues to work, but it is encouraged to use the new setup.
8.6.0 of the Sentry React and Next.js SDKs add support for React 19 and its new error handling hooks. This means that Sentry will automatically attach your component stack to every new error, making it easy to know where to look in your component tree for debugging.
Sentry now integrates with OpenAI, Anthropic, LangChain, Cohere, and HuggingFace to help you monitor your LLM pipelines.
End-users can send screenshots as part of their feedback to provide more context, so you can get to the root of the problem faster.