Incidents Turn into Archaeology. We Fix That.
Production goes down. Your on-call scrambles to find what's running, what changed, and who deployed it. Hours wasted reconstructing timelines. MTTR measured in days, not minutes. Crash Override gives you answers in seconds.
Of teams need one day to one week to recover from a failed deployment.
Of teams spend 8-16% of all deployments fixing bugs rather than shipping new features.
Of organizations first learn of a compromise from an external source, not their own tooling.
Every artifact carries its own answer.
Continuous Environment Monitoring
Monitor production environments, build pipelines, and deployment events in real time. Crash Override detects changes the moment they happen, not when someone notices something is broken. Anomalous deployments, configuration changes, and dependency updates surface immediately.
- Real-time deployment and change detection
- Anomalous build and deploy pattern alerts
- Environment drift detection across staging and production
- Change correlation across services and teams
enable_rate_limit ONDB_POOL 50 → 100legacy_session_v1 OFFDeep Build Inspection for Incident Context
When production breaks, you need answers from the build, not from Slack threads. Crash Override inspects every build artifact to record exactly what went in: source commit, dependencies, build parameters, and configuration. The build system saw it happen.
- Full dependency manifest extracted from actual build output
- Build parameters and environment captured at build time
- Configuration drift detected between builds automatically
- Queryable in seconds: no archaeology required
9f04 · "feat(payment): split refund into 3 ops"Tamper-Proof Provenance on Every Artifact
Every build artifact is tagged with cryptographic provenance: who built it, what source, which dependencies, who approved the deploy. The tag travels with the artifact. It can't be altered, deleted, or lost. When an incident hits, the artifact already has the answer.
- Cryptographic provenance embedded in the artifact itself
- Tamper-evident: any modification is detectable
- Full lineage: source to build to deploy to production
- Correlates commits, builds, and deploys automatically
Production State: Instant, Not Reconstructed
Tagged artifacts beacon from production, reporting their current state in real time. When an incident hits, you already know what version is running, when it was deployed, and what changed since the last stable release. No more 'what's running in prod?' war rooms.
- Real-time production inventory: no stale wikis
- Instant diff between current and last-known-good state
- Full change timeline with responsible parties
- One-click rollback target identification
Incident Response Knowledge Base
What did the agent actually deploy? CVE-to-production tracing, supply chain case studies, and postmortem templates for the AI-coded era.
Production incidents begin with uncertainty. Why traditional inventories fail during agent-era incidents — and what 'know what's running' actually requires.
The Replit agent that deleted a live production database. Moltbook's 1.5M API token exposure. Lovable's 48-day BOLA breach. Pattern analysis and defenses.
CISA KEV lookup → SBOM query → deployment match → blast radius → targeted remediation. The playbook for triage in the agent-coded era.
Stop doing archaeology. Start knowing.
Every artifact carries its own answer. Full provenance, instant production state, and change timelines that build themselves.
Frequently asked about incident response.
Every build artifact carries cryptographic provenance: what source, what dependencies, who built it, who deployed it. When an incident hits, you query the artifact instead of reconstructing a timeline from logs, Slack, and git blame. The answer is already there.
View full page →Tagged artifacts report their identity from production in real time. You always know exactly what version is running in every environment, when it was deployed, and what changed since the last known-good state. No manual inventory. No stale documentation.
View full page →No. Crash Override provides the data layer (provenance, production state, change timelines) that your existing tools (PagerDuty, Opsgenie, incident.io) need but don't have. It makes your current workflow faster, not different.
View full page →Build inspection starts generating provenance data on the first integrated build. Production beaconing activates when tagged artifacts deploy. Most teams have full coverage within one sprint cycle.
View full page →Friday afternoon. A critical CVE drops. Your team used to hit kubectl, ArgoCD, Datadog, and PagerDuty trying to answer one question: are we exposed? With provenance embedded in the artifact, the answer is already there.
View full page →