Operations | Monitoring | ITSM | DevOps | Cloud

Learn about Sentry's Session Replay in 60 seconds.

You can use the Sentry MCP server to debug issues in applications that are built in v0. You can also use it to create projects, pull down configurations, or dig into performance issues in applications. Check it out.

We're looking at what building a standard set of tools to use in Claude Code looks like for Sentry - and Claude's plugin marketplace is a great way to distribute them. Take it for a spin - the plugin distributes the MCP server, a few skills for setting up core parts of Sentry, and a few commands to use.

​See how Agent Monitoring gives you a better look at all things model usage, call duration, prompting, and more ​Go under the hood with MCP Monitoring - and learn how to debug client connection issues, tool call performance, transports, and all things MCP ​When things start breaking, use Seer, Sentry's AI Debugging Agent to troubleshoot those vague issues that are crashing and get help from a team of robots using Sentry’s AI PR Review.

Learn how to quickly track down performance bottlenecks using Sentry Logs and Tracing. In this video, we walk through identifying a slow screen, jumping into the connected trace, and pinpointing slow backend steps, database calls, and AI/LLM operations. See how logs, issues, and traces work together to show the full picture of what happened in a single session.

See how Sentry Logs can surface hidden state bugs that stack traces alone can’t explain. In this walkthrough, we debug a React Native app with an Express.js backend where a missing diet value causes a crash. We inspect the issue, pull in the connected logs, and confirm whether the problem comes from an initial render or from real backend data. By combining issues, traces, and logs from the same session, you get the full story—and a faster path to the fix.

Learn how to use Sentry Logs to measure how often a bug occurs and which users it impacts. In this example, a React Native app with an Express.js backend crashes when the diet value becomes undefined. After identifying the root cause, we use Explore Logs to count how many times users switch their diet to “none,” filter the related log messages, and group results by user type to understand the impact.

​If you're using OpenTelemetry to collect traces or logs, shipping that data into Sentry is easy with the new OTLP endpoints. We're going live to take you through how you can get started using OpenTelemetry with Sentry.

On October 23, 2025, Sentry hosted a special live event featuring the hosts of the Acquired podcast, Ben Gilbert and David Rosenthal. Together, we spoke with some of today’s most inspiring leaders across tech and sports. Whether you’re a longtime Acquired listener or new to Sentry, tune into this rare chance to hear directly from some of the people shaping the next generation of everything from technology and storytelling to leadership and more.

Starting today, Seer can talk to Cursor! Seer is Sentry's AI Debugging Agent that watches your code when its getting shipped as a PR, and when its running in production. Now, you can take Seer's root cause analysis and and solutions, and hand them over to Cursor Cloud Agents to implement.