The production incident you didn't have this quarter.
"Works in UAT, fails in PROD" is an environment-drift problem, and drift is invisible until it costs you an outage. Environment Parity compares your environments resource-by-resource, gives a pass/fail verdict before you release when they diverge, and turns every deviation into an owned, dated remediation. Change-management policy, enforced by evidence.
⚡ Premium add-on module · join the waitlist
Drift stops being folklore. It becomes a queue.
Parity runs on the same discovered data as the rest of the platform, so the comparison is against reality, not a diagram someone drew last year.
Parity gates across DEV / UAT / PROD
Compare any two environments resource-by-resource and get a single pass/fail verdict and a parity score, so a divergent build is flagged before release. The verdict informs your release decision.
Drift detection & severity ranking
Every deviation, instance size, count, engine version, a missing security control, a stray tag, surfaced the moment it appears and ranked Critical to Low.
Remediation tracker
Each finding becomes a task with a due date and a lifecycle: flagged, in progress, accepted, overdue, resolved. Exceptions are explicit and reviewable.
Release-readiness scoring
A single parity score per comparison tells a change board at a glance whether the target environment mirrors its baseline closely enough to release.
Change-management evidence
Pass/fail parity gates and a differences tracker give you an evidence trail of how UAT compares with production, for change boards, DR drills, and framework controls alike.
Differences tracker
A living list of open differences between environments, so the gap between "what we intended" and "what's actually deployed" is never a surprise at release time.
Baseline versus target. Ranked, gated, owned.
Compare your environments with a baseline, catch the deviation while it's still a diff, and hand each one to the team that owns it, before the postmortem, not after.
| resource | check | prod (baseline) | uat (actual) | severity | |
|---|---|---|---|---|---|
| = | orders-api | instance size | m6i.large | m6i.large | None |
| ≠ | orders-api | instance count | 3 | 2 | Medium |
| − | waf-edge | present | enabled | missing | Critical |
| ≠ | orders-db | engine version | postgres 15.3 | postgres 14.6 | High |
| ≠ | cache-cluster | node count | 3 | 1 | High |
Example data. Parity is the share of compared attributes that match the baseline.
Catch it as a diff, not a bridge call.
Prevent the incident
Version, capacity, security-control, and tag drift surface as ranked findings the moment they appear, while they're still a diff, not a 2 a.m. bridge call.
Enforce change policy
Every finding becomes a remediation with a due date and a lifecycle. Exceptions are explicit and reviewable, never silent, that's a change control that holds up.
Prove it to the auditor
Pass/fail parity gates and a differences tracker give you an evidence trail of how UAT compares with production, for change boards, DR drills, and framework controls alike.
About Environment Parity.
Which environments can I compare?
Any two you define, typically DEV, UAT, and PROD, but the model is general: pick a baseline and a target, and Omnitam compares them resource-by-resource on the data discovery already maintains.
How does the verdict fit into our release process?
Each comparison yields a pass/fail verdict and a parity score in the app, for your change board to read before a release is approved. A failing verdict means the target diverged from its baseline beyond your threshold, a build that would have shipped drift.
What happens to a difference we accept on purpose?
Mark it an accepted exception with a reason. It stays visible, with its reason on record, rather than silently ignored, so an intentional divergence (a cost trade-off, say) never looks like an unmanaged one to an auditor.
Is it a premium add-on?
Yes, Environment Parity is a premium add-on module, available on Essential and above. Module pricing is published when trials open; join the waitlist to hear first.
See your drift in one session.
Point Environment Parity at two of your environments when trials open and watch the gaps rank themselves, before the next release carries one to production.