Delivery Shield's Deployment Assessment and Risk module analyzes real-time application behavior during canary releases, instantly detecting performance anomalies to orchestrate zero-touch rollbacks.
15m window vs Baseline
Baseline
34.2%
Canary
35.1%
Baseline
124ms
Canary
485ms
Auto-Rollback Triggered
Traffic drained from canary pods.
Ingest metrics, logs, and traces from your entire observability stack simultaneously. Normalize data from Datadog, Prometheus, Splunk, and more.
Eliminate eyeballing. A statistical engine compares hundreds of performance vectors between canary and baseline deployments over set time windows.
When performance risk exceeds your threshold, Delivery Shield automatically signals Argo or Spinnaker to reroute traffic and terminate the canary.
Behavioral anomalies surface during the canary window, before a regression ever reaches your full user base.
A weighted scoring engine compares canary to baseline across hundreds of metrics instead of manual dashboard-watching.
When a canary fails its score, traffic drains and the release reverts with no human in the loop.
Models account for natural traffic spikes and seasonality, so you never roll back a healthy release by mistake.
Native integration with Datadog, Prometheus, New Relic, and more means no new telemetry pipeline to build.
Verification continues after 100% rollout, watching for subtle degradations that only appear at full scale.
See how intelligent telemetry assessment safeguards every release.
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