Observability and Alert Management
Every page worth answering
Cuts alert noise and sends real problems to the right team.
For SRE lead, on-call managers
What changes
Stop raw alert volume. Start seeing it live.
Makes every page worth answering. It builds the observability foundation, the telemetry, service map and dependency context DevSemantic needs, removes pages that lead to no action, groups related signals, and routes the rest to the right owner. On-call load per engineer is tracked, with out-of-hours pages shown separately, so noise reduction shows up as healthier on-call rotas.
Before · reports you wait for
- raw alert volumereport
- on-call heroicsreport
After · live on DevSemantic
- SNR Signal to Noise RatioPages that led to action81%↑
- PPE Pages Per EngineerPages per on-call engineer per week4/ week↓
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. One that backs it up.
Pages that led to action
Share of pages that led to action
81%
your baseline · 14 %+67 pts in 90 days
Commitment · Up against baseline; false pages down, real issues seen soonerEvidence · Incident history
-
PPEPages Per EngineerSupporting
Pages per on-call engineer per week
Pages per on-call engineer per week, out-of-hours pages shown separately
4/ week↓ vs baseline
Replaces on-call heroicsEvidence · Customer's records
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 incident history. If we cannot show where a number came from, we do not report it.
- day 1 · 09:04foundationservice map: 212 services · 1,930 dependencies · telemetry mapped
- day 2 · 11:21noisealert cpu-high-batch-tier · 0 actions in 90 days · removed
- day 4 · 13:38group17 signals grouped into one incident · svc-search latency
- day 5 · 15:55routerouted to owner team-discovery · acknowledged
- day 7 · 17:12rotapages this week: 3.8 per engineer · out-of-hours: 0.6
Questions
What people ask before they start.
Do we have to change observability vendors?
No. Your tools stay. DevSemantic reads them.
Will you turn off our alerts?
Only with your team's agreement. Each alert proposed for retirement comes with its history.
See Observability and Alert Management on your own estate.
A 30-minute walkthrough with an engineer. We show the SNR 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.