View logs in context — with your errors and traces (in Beta)

Logs are most useful when they’re connected to what you're debugging — issues, traces, and the code itself. Sentry brings logs into the same view as errors and performance, so you can see what happened and why, without switching tools or losing context.

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Connected debugging

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Structured logs in Sentry make it easy to search by real metadata—not just raw strings.

  • Attach properties like customer_id or payment_id to your log messages

  • Filter and search logs with queries like customer_id:"cus_123" or payment_id:"pay_456" to zero in on specific issues

  • Group logs by fields like payment_id to surface repeat failures tied to the same transaction

  • Trigger alerts based on structured values—like a spike in errors for a single customer

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See the logs behind a failed cron job, dropped webhook, or bad deploy—right from the issue.

  • View logs alongside stack traces, releases, and traces—like seeing job_type:"refresh_tokens" right next to the exception

  • Understand what happened before and after an error—like the status:500 response from a third-party API that preceded a crash

  • Filter logs by fields like job_id, request_id, or environment:"production" to zoom in on the problem instantly

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Sentry connects structured logs to traces, so you can spot retry loops, fallback logic, or silent failures that don’t throw exceptions.

  • View logs inline with spans—like seeing retry=true or response_time:3000 right where the delay occurred

  • Understand slowness across services by following logs tied to span_id, trace_id, or custom fields

  • Debug without guessing what happened between spans—or jumping to another tool

From log to root cause

Livestream logs

See new logs as they arrive.

Log-Based Alerts

Get notified on patterns or anomalies

Log Dashboards

Visualize key trends and fields

Structured logs

Sentry’s structured logging lets you pass variables directly in string templates—we’ll extract both the template and its values so you can filter, group, and debug with real context, not just raw strings.

Log aggregation

A 500 error appears in Sentry. With log aggregation, you can view related logs—like timeouts or bad inputs—alongside the error to quickly find the cause.

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Getting started with Sentry is simple

We support every technology (except the ones we don't).
Get started with just a few lines of code.

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dsn="https://238ed7e0b8c33a786e0a19b534bda162@o4508130833793024.ingest.us.sentry.io/4509481458204672", _experiments={ "enable_logs": True, }, )

That's it. Check out our documentation to ensure you have the latest instructions.

FAQs

Sentry Logs is currently in Beta and free for all users.

When debugging, logs, traces, and errors work better together. Logs provide the granular context—like retries, API failures, and internal state—that spans and errors can miss. But in most tools today, logs live in a separate system, forcing you to switch between tools to piece together the full picture.

With logs in Sentry, everything is in one place. You can see logs right alongside your errors and traces—no more context switching, just faster debugging.

Getting started is just as easy as adding a console.logor logger.info. Our SDKs handle the heavy lifting, automatically linking your logs to traces and errors so you get the full context with minimal setup.

Check out our docs to read more.

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