FOR SREs

Stop firefighting deployments.
Start preventing incidents.

64% of outages are caused by changes. Legible catches the unsafe ones before they reach production — using the production telemetry you're already collecting. Less 3 AM pages. More confident deploys.

64%
of outages from changes
Uptime Institute
$2-10M
annual change-related losses
Mid-market average
72hr
average MTTR for change incidents
Industry benchmark
3:47 AM
average page time
Your on-call knows
Incident Prevention

What Legible catches before you get paged

Every one of these scenarios has caused a real outage. Legible detects all of them before deployment reaches production.

Missing Critical Workflow Step
Without Legible

A deploy removes the fraud-check call from the checkout flow. Tests pass because the test suite mocks the fraud service. Canary looks healthy because fraud checks don't affect latency metrics.

With Legible

Legible detects that a REQUIRED node (fraud-check) is absent from the post-deployment workflow graph. This is an invariant violation — no amount of healthy metrics can override it.

VIOLATION → ESCALATEPrevented: $200K+ in fraudulent transactions per hour of exposure
Production Truth

Behavioral baselines built from real production

No synthetic tests. No policy guesswork. Just observed reality from your existing OpenTelemetry traces.

Workflow Baseline: checkout-flow v47
Structure
7 nodes, 12 edges
api-gw → payment → bank
fraud-check (REQUIRED)
notification via event-bus
Distribution
payment-direct: 82%
payment-fallback: 18%
fraud-bypass: 0% (FORBIDDEN)
Stable ±3% over 30 days
Retry Profile
payment→bank: 1.2x avg
retry ceiling: 5
circuit-breaker at 3x
Retry rate stable ±0.1
Latency
p50: 145ms
p95: 380ms
p99: 890ms
Hard max: 3000ms
Provenance: Promoted from classification vrf_7k2mP8 (MATCHED_INTENDED, HIGH confidence) · 48,000 traces · 14 consecutive stable windows
On-Call Impact

What this means for your rotation

Without Legible
Paged at 3 AM because a deploy broke checkout
Spend 45 min figuring out which deploy caused it
Roll back, hope it fixes it
Post-incident: "we need more tests"
Next quarter: same thing happens again
With Legible
Deploy blocked at 2 PM with clear evidence why
Developer sees exactly which behavioral change is unexplained
Fix before it reaches production
Post-incident: "we caught it in the pipeline"
Baseline gets smarter with every deployment
↓ 70%
change-related incidents
↓ 85%
MTTR for change failures
↓ 60%
on-call pages from deploys

Projected impact based on design partner analysis. Results depend on deployment volume and system complexity.

Hotfix Governance

Emergency deploys stay governed

When you skip staging for a hotfix, Legible enters Restricted Authority Mode. Less evidence means less automated trust — not no governance.

Restricted Authority Mode
🔒 Boundary confidence capped at LOW
🚫 Auto-promotion disabled
⏱️ Envelope TTL reduced 50%
👁️ All structural changes: mandatory review
📊 Monitoring window doubled
🔢 Hotfix frequency cap: 3 per team per 30 days
Post-Hotfix Reconciliation

When the hotfix later goes through normal staging, Legible automatically reconciles:

Original hotfix envelope updated with stage SBD
Unexplained changes from hotfix window reclassified
Unresolved changes flagged as HOTFIX_RESIDUAL
Governance debt tracked and surfaced
Hotfix mode should feel heavier than staging, not lighter.

Your next outage is preventable.

If you're tired of being paged for problems that could have been caught in the pipeline, let's talk.

Talk to us →