No one knows what regression covers.
So every release is a judgment call.
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Your quality partner. Our AI agents map your microservices, test every PR and check production after every deploy. Senior Quality engineers lead them and answer for what slips through.
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Refund.amount type changed for 2 consumers| Run | Started | Trigger | Passed | Failed | Time |
|---|---|---|---|---|---|
| #1287 | Today 06:00 | Nightly | 1,184 / 1,193 | 6 | 14m 22s |
| #1286 | 12 Oct 18:52 | Release cut 2026.41.2 | 1,186 / 1,193 | 4 | 14m 09s |
| #1285 | 12 Oct 06:00 | Nightly | 1,152 / 1,152 | 0 | 13m 41s |
| #1284 | 11 Oct 06:00 | Nightly | 1,150 / 1,152 | 2 | 13m 55s |
Customers can be charged twice when billing-svc retries a slow debit
Root cause: the retry after a 2,000 ms timeout drops the Idempotency-Key header. Introduced in PR #2291 (a41f9c2).
Changing Refund.amount to decimal breaks two services that still read it as an integer
The refunds team didn’t know these two services consume the field. The service map showed both. Agreed fix: add amount_minor and deprecate the old field over two releases.
POST /v1/charge p95 rose from 341 ms to 412 ms. The budget is 380 ms.
A new fraud rule runs an unindexed query on every charge. Suggested fix: add an index on rules(merchant_id, active).
refunds-svc commits its Kafka offset before writing to the ledger. During a rebalance, in-flight messages were marked done but never written.
| Business area | Covered flows | Risk of the gaps | |
|---|---|---|---|
| Payments | 18 / 20 | Medium | |
| Refunds | 6 / 9 | High | |
| Payouts | 8 / 11 | Medium | |
| Onboarding and KYC | 10 / 12 | Low | |
| Notifications | 5 / 6 | Low |
If three of these sound familiar, keep reading.
So every release is a judgment call.
So nobody trusts a red build, and real failures get ignored.
So it’s the first thing skipped when a deadline gets close.
Different versions, data and scale. Green in QA proves little.
Nobody knows the whole product path a customer request takes.
Every new test starts with a Slack thread or a Google search.
Testing stayed the same size.
No performance baseline, so nobody knows if this release is slower than the last.
So it’s closed, and a month later it comes back.
Logs live in ten places, so root cause takes days of guessing.
And every postmortem ends with the same question.
“Why didn’t QA catch this?”
These are system problems. We fix the system.
Every leader asks a different question about quality. Pick yours and see exactly what lands on your desk.
“Will the next release embarrass us in front of a customer?”
“Can we ship faster without breaking production?”
“How do I cover 40 services with a team of five?”
“What will this change break that my team can’t see?”
ledger-svc still parses it as an integerLedgeremail-receipts shows ₹125050.00Growth“Will the launch date hold, and will the feature actually work?”
“Will this incident happen again next month?”
The Qualityguage orchestrator runs in your cloud account. Opening it takes your key and ours. Your code and services stay under your team’s normal access.
The orchestrator, with its agents and runners, is deployed in your cloud. Your source code and customer data never leave it.
Every access to the orchestrator needs both keys. We can’t get in without you, and nobody can change it without us.
We don’t train or fine-tune any model on your code, traffic or data.
Tests are written in standard open-source frameworks and live in your repositories from day one.
Five measures, agreed with you before we start and reported to leadership every Monday.
Measured against the live service map, not a spreadsheet.
Every flaky test is quarantined, owned and fixed by a set date.
Including which services outside the team the change affects.
So coverage grows with every change, not once a quarter.
Every escaped bug gets a root cause and a test that runs daily.
Example targets. Your numbers are set from your own baseline when we start.
A live map of your services and a baseline for all five measures.