Status

All systems operational.

Loreflow publishes uptime for every component of the platform. Historical incidents stay online permanently — including the postmortems. The figures on this page are sample data showing how it will read; the production monitoring that populates them is not live yet.

Current components

Each component is probed every 30 seconds from three regions. A component is only marked healthy when all three probes pass. Sample readings:

  • Web application — operational · 99.98% (90 days)
  • Source sync workers — operational · 99.95% (90 days)
  • AI recall & insights — operational · 99.93% (90 days)
  • Public API & webhooks — operational · 99.99% (90 days)
  • Authentication & SSO — operational · 100% (90 days)

Recent incidents

We post an initial acknowledgement within 15 minutes and a full postmortem within five business days for every Sev-1 and Sev-2 incident. Example entries, showing the detail every incident will carry:

  • Delayed Slack backfill for 42 minutes (resolved)
  • Elevated latency on insight generation, 18 minutes (resolved)
  • Scheduled maintenance, no customer impact

Maintenance windows

Planned maintenance is announced at least 72 hours ahead and scheduled for Saturdays 02:00–04:00 UTC, when workspace activity is lowest.

Right now

All systems operational.

Once monitoring is live, this panel updates every minute from the same monitors that page our on-call engineer. The values below are sample data.

99.98

0.00%

Uptime, 90 days

Weighted across API, sync and search.

148

0 ms

Median API latency

Measured at the edge, not in our own network.

5

0 min

Sync interval

Per source, with nightly full re-index.

0

0

Open incidents

Last incident resolved 63 days ago.

01

Ninety days of uptime,
without the marketing gloss

We count degradations against ourselves the same way outages are counted, and report them at this level of detail. The sample window below shows two brief degradations in the sync workers, resolved before most workspaces would notice, with search and API up throughout.

  • Sample — sync lag of 14 minutes for 38 minutes
  • Sample — elevated search latency for 22 minutes
  • No data loss in either event

API latency

Sample series — median response time, by week.

148 ms
ms

Incident density

Sample — incident density by week.

Mon
Tue
Wed
Thu
Fri

Components

Each service,
measured separately.

Uptime by component

Sample — trailing 90 days.

  • API100%
  • Search99.99%
  • Sync workers99.94%
  • Web app100%
  • Webhooks99.97%

Where the load is

Sample — request volume by surface.

24Mrequests
  • Slack38
  • Notion21
  • Linear15
  • GitHub12
  • Intercom8
  • Other6

When something breaks

What we do,
and how fast.

Detect

Automated monitors page on-call within 60 seconds of an error-rate or latency threshold being crossed. We rarely learn about incidents from customers.

< 1 minute

Publish

The status page updates before we start debugging. You should never have to ask whether it is us or you.

< 5 minutes

Resolve and follow up

A written post-mortem within five working days for anything customer-visible, including what we changed so it does not repeat.

Post-mortem in 5 days

Get notified before you notice.

Subscribe to incident notifications and you will hear from us the moment a monitor trips.

FAQ

About status.

Monitoring, incidents and history.

Open the live demo

The app, the sync pipeline and each connector family, checked continuously with per-component history. The figures shown on the status page today are sample data.

No. Syncs resume from the last confirmed checkpoint and backfill whatever happened during the outage.

Posted here as they develop, with an in-app banner for anything affecting sync freshness, and a written follow-up afterwards.