💡 How Ewake reduced SRE operational toil for Booksy: read the article!
Ewake

AI ships the code.
ewake keeps production reliable.

It detects on its own — before anyone gets paged.

See the reliability loop

The reliability loop

One loop that keeps production reliable.

Detect, investigate, fix, track, learn — a closed loop around a live map of your production. It runs on its own.

Live map
Detection
Investigate
Fix
Tracking
Learn
payment-api p99 +38%→deploy #4821→PR #291

Saturday, 11:04. Payments are slowing down and nobody knows yet.

The same incident runs through the four stations that follow.

payment-api · ~2,400 checkouts in flight
ewake flags it · 11:04
your alert fires · 11:11
7 minutes
11:0011:0511:1011:15
alert threshold · 300 ms
checkout-api degrading downstream·a deploy landed 6 min ago·nobody paged

No threshold needed — it read the curve against the map.

Illustrative incident

11:06. The answer arrives where the team already is.

And it holds up when someone pushes back.

#prod-reliabilitySaturday
ew
ewakeagent11:06

Root cause found for the payment-api slowdown.

Root causedeploy #482192%
ruled outpostgres-maink8s-ingressstripe-webhook
M
Maya11:07

How sure are you it isn't the database? It bit us last month.

ew
ewakeagent11:07

postgres-main stayed flat through the whole window — connection pool at 34%, query p99 unchanged. The rise starts four minutes after #4821 landed, and only on the two services that call the handler it changed.

ew

A conclusion you can question is a different thing from one you have to accept.

11:08. It doesn't tell you what to do. It writes it.

And it stops exactly where your rules say it should.

11:08 · posted to #prod-reliability
#291Restore connection pool size on payment-apiopened by ewake
ewake/revert-4821→main
services/payment-api/db.py
def get_pool():
- return Pool(max_size=8, timeout=2.0)
+ return Pool(max_size=32, timeout=5.0)
# reverts #4821 — pool waits accounted for the p99 rise
✓unit tests412 passed✓build2m 14s✓policy checkwithin remit
auto-merge is off for payment-api— your rule, waiting on one approvalApprove

It wrote the fix. You still hold the merge button.

11:39. It held for thirty minutes, so it closed.

The curve you met at 11:04, finished.

fix lands · 11:09
resolved · 11:39
30 min held
where it was heading
11:0011:1511:3011:45
alert threshold · 300 ms

Thirty minutes of watching before it said done. Had it drifted again, the loop would have started over.

24 August, 03:12. The same thing happens again.

Nobody found out on Monday. There was nothing to find out.

24 August · 03:12 · three weeks later
#prod-reliabilitySunday
ew
ewakeagent03:12
03:12:04payment-api p99 rising — 214 → 240 ms.
03:12:19Matches pool-exhaustion-after-deploy, learned 3 Aug. Same handler, same pool setting.
03:12:44Rolled back #5107. Watching for 30 minutes.
40 seconds, start to finish
no replies

The story started with nobody noticing. It ends with nobody needing to.

The loop closes

The map is smarter than when you started reading.

One incident in, one skill out. Every loop leaves ewake with more of your production mapped — so the next detection is faster.

Live map
+10 services mapped+12 causal links+1 skill written back

Running in production at

BrevoPlanityBooksy

Trusted by engineers

Built for real production environments

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake proved extremely useful during production investigations, consistently pointing us to the right root cause and saving precious time, especially during on-call.”

PS
Piyush S.
Lead Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake gives new and junior engineers a buddy during investigations, helping them reach the root cause faster. I'm now more confident adding new members to our on-call rotation.”

AA
Aayush A.
Senior Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake proved extremely useful during production investigations, consistently pointing us to the right root cause and saving precious time, especially during on-call.”

PS
Piyush S.
Lead Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake gives new and junior engineers a buddy during investigations, helping them reach the root cause faster. I'm now more confident adding new members to our on-call rotation.”

AA
Aayush A.
Senior Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake proved extremely useful during production investigations, consistently pointing us to the right root cause and saving precious time, especially during on-call.”

PS
Piyush S.
Lead Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy

“Ewake surfaced a hidden bug buried in log noise by analyzing even low-frequency errors. Issues we missed manually became immediately visible.”

PV
Paul V.
CTO, Planity

“Ewake gives new and junior engineers a buddy during investigations, helping them reach the root cause faster. I'm now more confident adding new members to our on-call rotation.”

AA
Aayush A.
Senior Software Engineer, Brevo

“Ewake gave time back to our SREs by handling repetitive questions automatically. What used to interrupt the team now stays streamlined.”

ZK
Zbigniew K.
Engineering Leader, Booksy
4,000
Investigation reports in 12 months
5 min
Median response time

Frequently asked questions

You've got questions,
we've got answers.

Still have questions?

Book a quick call with the team.

Ewake is suggestion-first. It presents hypotheses with confidence scores, and your engineers make the final call. It never takes autonomous action. Every suggestion includes the evidence trail so your team can verify before acting.

Never. Your data is never used to train or fine-tune any model. Ewake processes your telemetry in real-time and discards raw data after analysis. Full audit trail, full transparency.

Ewake connects to your existing observability stack (Datadog, Grafana, Prometheus…), alerting tools (PagerDuty, OpsGenie), code repos (GitHub, GitLab), and communication channels (Slack). No new tools to install.

5 minutes. Connect your tools via OAuth or API key, pick your Slack channel, and Ewake starts analyzing. No code changes, no agents to install, no infrastructure to manage.

Read-only by default. Ewake reads metrics, logs and traces but never modifies your infrastructure. Write access is optional and gated behind explicit team approval.

In Europe. We use EU-based infrastructure exclusively, SOC 2 Type II certified, GDPR compliant. Your data never crosses the Atlantic. Built by a European team at Station F, Paris.

Yes. Ewake supports hybrid and on-premise setups via a lightweight gateway agent that stays within your network perimeter. No inbound connections required, your data never leaves your environment.

Yes. SSO via Okta, Azure AD and Google Workspace, plus SAML 2.0. MFA is enforced on all internal and production access, with role-based, least-privilege permissions reviewed quarterly.

SOC 2 Type II certified, GDPR compliant with EU data residency, and ISO 27001 controls aligned. DPA, sub-processor list, pen-test report and data-flow diagram available on request — visit trust.ewake.ai.