I check your CloudWatch and App Insights logs on your schedule, tell your team what actually matters in Slack or Teams, and when an old problem comes back, I tell you how you fixed it last time.
Aila · #northwind-ops
9:00 AM
2 things worth a look since your last check-in
checkout-api is timing out on card capture
First seen 42 min ago · 58 occurrences
order-worker: database connection pool exhausted
Seen before — @maya fixed this on Mar 3 by raising the DB pool to 50.
Everything else looked normal. 2,140 lines reviewed.
Sample digest for a fictional team.
Someone opens the console, scrolls a wall of errors, squints, and posts “looks fine 👍.” Next week it’s someone else’s turn. The error that actually matters is buried on page three, and the fix from last time lives in the head of whoever’s on PTO.
Log events · 48,211 results
anyone checked prod logs today?
0 replies
looks fine 👍
9:47 AM
runbook-db-issues-OLD-v2.md
Last edited 8 months ago
Log duty
You · this week
That’s the job I’m here to take.
Five minutes to connect.
Read-only access to the logs you already have. I can't change anything, and you can cut me off in one click.
I check on your schedule.
Once a day or as often as hourly. Thousands of repetitive lines become a handful of real issues, and I notice what's new, what's back, and what's spiking.
You get the answer, not the logs.
In Slack or Teams. Most check-ins: "all quiet." When something needs you: a short ranked list and one-tap buttons.
Nothing to install.
No agents, no SDKs, no code changes. I work with what's already there.
AWS and Azure, one report.
CloudWatch and App Insights side by side, so nobody checks two consoles.
Quiet check-ins stay quiet.
If nothing's wrong, I say so in one line and get out of your way.
I speak up when it counts.Pro
Something new breaks between check-ins? You'll hear from me within the hour. Otherwise, silence.
ERROR order-worker: connection refused (db pool exhausted) ×214 in 10m
This one’s back. Last time @maya fixed it on Mar 3 by raising the DB connection pool to 50. Want me to mark it watching?
Every fix your team marks makes me more useful. When people move on, what they knew stays with the team.
Works with
| Free$0Try me on one source. | Team$149/moYour stack, up to four check-ins a day. | Pro$349/moAs often as hourly, and I'll ping you when something new breaks. | |
|---|---|---|---|
| Log sources | 1 | 3 | 10 |
| Check-ins per day | 1 (last 4 hours) | Up to 4 | Up to 24 |
| Heads-up within the hour | — | — | ✓ |
| Team memory | ✓ | ✓ | ✓ |
| Team members | Unlimited | Unlimited | Unlimited |
Planned pricing. Waitlist members get early-access pricing. Save 10% annually. Slack or Teams on every plan.
Not your pager.
I check on your schedule — keep PagerDuty for 3 a.m.
Not an APM tool.
I read logs. I don't trace requests.
Not a log archive.
Your logs stay right where they are.
Nothing to instrument in your code. Aila covers infrastructure, log-level errors, and 5xx responses, not only app exceptions, and remembers how your team fixed recurring issues.
As often as your plan allows and your team chooses: once a day on Free, up to 4 times a day on Team, up to hourly on Pro.
No. You choose the check-in times; quiet check-ins are a single line.
Read-only access to the logs you choose. Nothing in your cloud can be changed.
Typically cents a day for log queries on AWS; standard App Insights queries generally carry no extra charge.
Either. Pick the one your team lives in.
AWS and Azure at launch. Tell us if you need GCP.
Design partners are first; waitlist invites roll out in waves.
Export your resolution history any time.
I’ll take the first shift as soon as your invite’s ready.