Change and Release Safety
Know what a release breaks before deploy
Shows what a release could break before it ships.
For platform engineering, release management
What changes
Stop change advisory boards approving on description. Start seeing it live.
Maps the blast radius of every production release before it deploys: which services, dependencies and user journeys it touches, and what breaks if it fails. Release approvers decide on evidence, risky changes get progressive rollout, and change failure rate is tracked alongside so speed and safety improve together.
Before · reports you wait for
- change advisory boards approving on descriptionreport
After · live on DevSemantic
- BRC Blast Radius CoverageChanges checked for impact before they ship96%↑
- CFR Change Failure RateDeployments that cause a failure11%↓
- FDRT Failed Deployment Recovery TimeHow fast a failed deploy is recovered22min↓
How it works
DevSemantic is a context plane for site reliability and operations. It connects telemetry, services, dependencies, releases and runbooks into one model, so problems are predicted from leading signals, handled by approved automation, and prevented from returning. The four solutions follow the life of a production problem: see it clearly, catch it before it pages, stop it coming back, and stop releases from introducing it.
We model how production really runs
Services, dependencies, releases, telemetry and runbooks in one live model.
We catch the first warning sign
Problems are raised early, often before a user notices or anyone is paged.
Approved playbooks act first
Engineers step in with the evidence already gathered. Every production change still needs a human yes.
Fixed once stays fixed
Root causes are tracked so they do not come back. Releases are checked before they deploy.
What we are measured on
One headline number. Two that back it up.
Changes checked for impact before they ship
Share of production releases whose blast radius was mapped before deploy
96%
your baseline · 9 %+87 pts in 90 days
Commitment · Up against baseline; change failure rate held or improvedEvidence · Customer's pipelines
-
CFRChange Failure RateSupporting (DORA)
Deployments that cause a failure
Share of deployments that cause a failure in production needing remediation
11%↓ vs baseline
Replaces reported for comparison with existing DORA dashboardsEvidence · Customer's pipelines and incident history
-
FDRTFailed Deployment Recovery TimeSupporting (DORA)
How fast a failed deploy is recovered
From a failed deployment being detected to service restored
22min↓ vs baseline
Replaces reported for comparison with existing DORA dashboardsEvidence · Incident history
Numbers shown are illustrative. Yours start from your own baseline, measured in the diagnostic.
Proof you can open
Every number comes from a record you own.
Here that record is the customer's pipelines. If we cannot show where a number came from, we do not report it.
- day 1 · 09:04releaser-3402 · svc-pricing · touches 6 services, 2 user journeys
- day 2 · 11:21blastif it fails: checkout and quote journeys degrade · mapped before deploy
- day 4 · 13:38approveapprover decided on evidence · progressive rollout 5% → 25% → 100%
- day 5 · 15:55canary5% stage healthy · error budget unchanged
- day 7 · 17:12pipelineBRC sample recorded · CFR held
Questions
What people ask before they start.
Does this replace our change advisory board?
It changes what the board spends time on. Routine changes with a known, contained blast radius can move on policy; risky ones reach the board with their impact attached. The decision stays with you.
What if a dependency is not observed?
It is reported as UNKNOWN, and a release that depends on it says so.
Can an agent deploy to production?
No. Agents prepare and propose. A person promotes every production deploy.
See Change and Release Safety on your own estate.
A 30-minute walkthrough with an engineer. We show the BRC loop running and answer what it would look like for you.
Every solution is sold against one headline KPI, committed for 90 days against your own baseline and reported from evidence you can inspect.
vikat.AI · your guide
Ask Yati
Which solution fits your estate, what the 30-day diagnostic measures, how a pod works inside your team: ask in your own words.