Pindot

One incident. Every team on the bridge.

When something breaks in production, five teams get pulled in, and each needs a different answer. Pindot gives every one of them the answer they need, from the same evidence.

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Incident managers

Get to the cause before the bridge call does.

Every team on the call can prove its own part is healthy, and nobody can see across all of them. Pindot can. Ask what is wrong, and get the probable cause, the records behind it and a suggested fix, while the call is still being set up.

  • The probable cause, in plain language
  • The exact records it rests on, from every system
  • A suggested fix, filed to Jira with the evidence attached
Pindot
/Copilot

Question: Why is payments returning 5xx since 02:14?

Answer: The payments database ran out of connections. Release 4.18 went out at 02:10 and lowered the pool size from 50 to 10 [1]. Connection waits started at 02:12 [2], and the gateway began returning 503 at 02:14 [3].

Suggested fix: Restore the payments pool to 50 connections

Operations and on-call

Notice the spike before customers do.

Pindot learns each source's usual level and points at the one that has moved away from it. Ask what looks unusual and see it at a glance, instead of reading fourteen dashboards at two in the morning.

  • Every source measured against its own normal
  • The ones that moved, and when they started
  • The quiet ones confirmed quiet, so you can rule them out
Pindot
/Copilot

Question: Anything unusual in the last 24 hours?

Answer: Two sources are well above their usual error volume, both from just after 02:10. The other twelve are within their baseline.

Database and application teams

Prove it is you, or prove it is not.

When the database is blamed, the database team needs evidence either way. Pindot lines up what happened across every system on one timeline, so the conversation moves from opinion to record.

  • One timeline across logs, databases and changes
  • Every event with its source and severity
  • Answers the whole bridge can read
Pindot
/Copilot

Question: What else touched payments between 02:00 and 02:30?

Answer: One group of related events, all naming payments-api or payments-db.

Change management

Know which change broke it.

Most incidents follow a change, and the hardest question on a bridge is which one. Pindot reads your change records alongside everything else and names the change that lines up with the failure.

  • Changes matched to the failures that followed
  • Unrelated changes ruled out, with the reason
  • The change record cited by its own reference
Pindot
/Copilot

Question: Did anything change before this started?

Answer: Two changes went in during the hour before. Only one touched payments: release 4.18 at 02:10 lowered the database pool from 50 to 10 [1]. Connection waits began two minutes later [2]. The other, a firewall rule at 01:32, does not touch payments [3].

Audit and compliance

Every answer, traceable.

When a regulator asks how a conclusion was reached, the answer is already on file. Every question leaves a record of where Pindot looked, which records it used and what it said, and Pindot only ever adds to that record.

  • A record behind every answer, linked by its reference
  • Who asked, where it looked and what it used
  • Questions kept as a fingerprint, not their words
Pindot
/Audit trail

Audit record

turn_7f3c91a2

Asked
02:14, by a signed-in operator
Question
Kept as a fingerprint, not its words
Looked in
Application logs, payments database, change records
Records used
38, each cited by its source and reference
Answered
Payments database out of connections after release 4.18
This record
Only ever added to. Never edited.

Every answer in Copilot links to a record like this one.

Stop digging through logs at 2am.

Bring your own 02:14, a real incident from your systems. We will show you how Pindot finds the cause, and where every piece of evidence came from.

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