Sentry announced the general availability (GA) of its new Logs product, delivering real-time, trace-connected logs to help developers debug faster and smarter.
With Logs now fully available, Sentry extends its mission of arming developers with the observability tools they need to fix issues quickly and keep digital experiences running smoothly.
“Early Sentry Logs users tell us they love that they no longer need to SSH into servers or grep through files; Sentry Logs are structured, searchable, and automatically show up right alongside traces and errors with just one line of code,” said Dhrumil Parekh, senior product manager at Sentry. “That connected experience makes debugging simpler and faster — and that’s why we’re hearing of so many customers wanting to consolidate on Sentry now that we have structured logging available. And since logs are always unsampled and priced competitively, they’ve become one of the most reliable sources of truth for understanding issues at any scale.”
“Context is everything when it comes to debugging,” said Milin Desai, CEO of Sentry. “With the largest live production code context in the world, spanning structured logs, traces, errors, and replays - Sentry gives developers and agents the clarity to understand not just what broke, but why. This connected observability is essential as companies accelerate their workflows and scale to millions of users or revenue, making Sentry the only solution built for modern software teams.”
Sentry Logs isn’t meant to replace existing log storage—it’s built to make structured logs actually useful for debugging. Traditional logging tools capture everything, often overwhelming developers with noise. In Sentry, every log is trace-connected by default and surfaced where you already work. With trace_id and span_id attached, you see exactly where a log fits in the request flow—right alongside related errors and spans. It’s one connected platform for troubleshooting, so teams can resolve issues faster without going between tools.
- Live tailing: Stream logs in real time as jobs execute or fail
- Alerts: Catch silent failures or regressions before customers notice
- Dashboards: Spot patterns across environments and isolate anomalies before they escalate
- Trace-connected context: Every log is automatically scoped to traces, errors, and replays — no more tab switching or timestamp math
- Structured logs with the ability to add custom attributes, making it easy to monitor and search for exactly what matters to you
- Cross-language support: Works seamlessly with Python, JavaScript, Go, Ruby, PHP, .NET, Java, and mobile applications
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