Most production errors are never reported. People reload the page, try again later, or quietly give up. What reaches the team is a fraction of what happened, and it usually arrives days later as a vague sentence: “It didn’t work for me yesterday.”
That leaves you without the one thing you need to prioritise: did this happen once or four hundred times, since the last release or for months, to everyone or one unusual configuration? Without something recording it, every answer is a guess.
Error tracking has solved this for years. The friction is rarely the tool — it is the setup: create a project, wire up the SDK, pass release information through, hand out accounts. That is the part the platform takes over.
Sentry is configured for you
The platform sets Sentry up for your project — no integration to assemble by hand, no checklist to repeat for every new project.
One condition applies: Sentry is only configured when the project has its own connection stored, so your error data lives in your organisation rather than a shared account. The form also supports a host mode for self-hosted instances.
Errors appear where you already work
Production errors are visible inside the platform, filtered by repository. Each entry carries the stack trace, release and context — the details that let you understand a failure instead of first reproducing it.
When you need to go deeper, a link takes you to the detail view in Sentry — a deliberate step rather than the only way to learn something is broken at all.
Signing in through single sign-on
Sentry connections automatically get single sign-on through Authentik. The team signs in with the platform login, so there are no separate accounts to create, distribute and remember to revoke when somebody leaves. A link in your profile goes straight to the sign-in page of your Sentry organisation, without hunting for a URL.
Versioned releases make errors attributable
Releases are versioned, and that version is attached to the error, so “when did this start?” turns into a question with an answer. If an error only appears from a certain version onwards, the cause narrows to that release rather than everything shipped over past weeks.
Monitoring rounds out the picture
The project dashboard also shows live monitoring data from the servers, so application errors and server health sit side by side. That context matters when you interpret a spike: a cluster of errors right after a release points at the change, the same cluster alongside unusual server readings points elsewhere.
Related topics
Having Sentry ready without manual setup follows the same principle as the rest of the platform: recurring groundwork gets automated once instead of redone in every project. The page on CI/CD automation describes what that looks like for building and shipping. For an overview of other services that can be connected, see the features page.
