Use cases

What changes on the day you install it.

Four real workflows your team is already doing — slowly, painfully — that get measurably faster the moment Radar is on shift.

Time to first action

30 seconds. Not 30 minutes.

The same 3 a.m. PagerDuty alert. Two timelines. The difference is whether your on-call engineer is reading evidence or hunting for it.

Without InfraWatchdog
~30 min
  1. 00:00PagerDuty fires. Wake up. Open laptop.
  2. 02:30Squint at CloudWatch dashboard. Which service?
  3. 06:00Switch to Logs Insights. Write a query. Wait.
  4. 11:00Re-write the query. Filter the right log group.
  5. 16:00Check #deploys. Was anything shipped?
  6. 22:00Grep correlated services. Cross-reference SQS depth.
  7. 27:00Form a hypothesis. Page a teammate to verify.
  8. 30:00Roll back. Pray.
With InfraWatchdog
~30 sec
  1. 00:00Slack page from Radar. Headline + verdict in one line.
  2. 00:05AI summary: which service, which deploy, which queue.
  3. 00:12Linked log groups + the dominant error pattern.
  4. 00:18Correlated deploy chip — confidence: high.
  5. 00:25One click to investigation. Evidence rendered.
  6. 00:30Roll back. Confident.

Quiet 3 a.m.

today

PagerDuty fires for the third time this week. Same noisy CloudWatch alarm, same dashboard hunt, same 30-minute investigation before you even know if it's real.

with InfraWatchdog

Radar suppresses the known noise, only pages when something actually changed, and writes the verdict before you open Slack. You go back to sleep.

Ramp on-callers in days, not quarters

today

New engineers can't go on-call until they've memorized 12 services, 4,000 log groups, and the right Logs Insights syntax. Every rotation needs a senior shadow.

with InfraWatchdog

Service map is the documentation. Trace journey is the runbook. NL search means no syntax to memorize. Junior engineers ship a clean rotation in week two.

Kill repeated postmortem patterns

today

Same RDS saturation pattern keeps biting. Same connection-pool exhaustion every release. The fix is in someone's head, not in the system.

with InfraWatchdog

Cluster reviews catch it weekly with confidence scores. Error watch remembers the resolution and suppresses the noise. Deploy correlation flags the release that re-introduced it.

Answer "why did THIS user get an error?" in one screen

today

Support escalates a customer ID. You open 6 Logs Insights tabs across 4 log groups. 25 minutes later you have a partial story.

with InfraWatchdog

Trace journey takes the customer ID, fans across every log group in the service, and gives you the timeline. 30 seconds. One screen. Reply to the customer.

Try it on Acme Robotics first.

Demo mode spins up a fully fabricated AWS account so you can run all 5 incident scenarios without touching prod. Upgrade to your own AWS when you're ready.