For Engineering Teams

Own the errors without owning the pipeline.

Somebody has to be assigned the crash, somebody has to get the message at 2am, and the raw data has to land somewhere your team already looks. None of that is analysis — it is the plumbing that decides whether the analysis ever reaches a person.

DPDP Act 2023Encrypted in transit & at restAWS multi-region99.9% uptime

Capabilities

4 capabilities, and the mechanics behind each one.

Every one of these is a screen in the product today — not a roadmap item.

01

Errors

The loudest error is rarely the costliest.

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Capability

Errors

The loudest error is rarely the costliest.

Errors are ranked by how many sessions they actually touched, not by how often they fired into a log. A handler that throws ten thousand times inside one background job is a smaller problem than one that breaks checkout for four hundred people.

Highlight

Ranked by occurrences and sessions affected — so impact, not log volume, sets the priority.

Every error carries the number of sessions it touched, alongside its raw occurrence count
Error detail with a trend line, so you can tell a release-day spike from a long-running constant
Mobile crash issues surface in the same view as web errors, rather than in a second tool
Scoped to the same date range as every other analysis surface, so numbers reconcile

What your team gets

The modules your team works in.

Error Tracking

Fingerprinted issues ranked by the sessions they touched, each one assignable to a named person so a crash has an owner rather than a queue.

Explore Error Tracking

Performance Monitoring

Core Web Vitals at p75 broken down by page group, with the worst-performing elements named and the business-impact view beside them.

Explore Performance Monitoring

Alerts

Threshold, spike and anomaly rules that post to a Slack channel and a per-rule recipient list, with cooldowns so a bad night does not become four hundred messages.

Explore Alerts

Replay Clips

Cut the twenty seconds where it broke and share a link that opens without a login — so whoever picks up the ticket does not need a seat to see the bug.

Explore Replay Clips

Release health

The one screen to check after a release.

Stability, speed and the error queue in a single view — so the question after a deploy is answered in seconds rather than by three people opening three dashboards.

Stability before and after

Crash-free rate with its fatal split, so you can tell within the hour whether a release made things worse.

Errors ranked by human cost

Sessions affected, not log volume — the queue sorts itself by what is actually worth fixing.

Vitals at the tail

LCP, INP, CLS, FCP and TTFB at p75 across web and mobile, so a regression shows up where users feel it.

One session id, end to end

Every number opens into the session behind it — the same id product, design and research are already using.

Release health — live view

Example

Crash-free sessions

99.4%

iOS + Android

LCP p75

2.1s

web

Top error

1,284

sessions affected

Fatal rate

12%

of all crashes

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Bring the whole user story into one workflow

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