Private beta · API-first

Ship faster with traces that actually explain regressions.

Vector Drift correlates deploys, feature flags, and live traffic so your on-call rotation spends less time guessing which change broke latency.

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< 90s Median time to root cause
40+ Native exporters
EU Data residency regions
SLA 99.95% ingest uptime

What you get on day one

No duplicate dashboards. Connect your existing observability stack, then let the drift engine highlight anomalies that line up with releases.

  • 01

    Release-aware timelines

    Every spike is annotated with the commit range, canary cohort, and rollback state so context stays in one thread.

  • 02

    Sampling you can trust

    Head-based defaults with tail sampling for errors and slow spans—tunable per service without YAML archaeology.

  • 03

    Shared runbooks

    Attach checklists and owner rotation directly to incidents; exports to Slack and PagerDuty stay in sync.

From ingest to answer

OpenTelemetry in, structured narratives out. We normalize tags across clouds so comparisons stay honest when traffic shifts regions.

OTLP Prometheus remote write CloudWatch bridge SAML SSO 
# minimal agent bootstrap
drift:
  region: "eu-central-1"
  retention_days: 14
  alerts:
    - channel: "slack://ops"
      severity: ["warn", "crit"]

Join the next cohort

We onboard a handful of teams each month. Leave a work email and we will reply with a sandbox tenant and sample data pack.