ChangeGuard calculates a single safety score for every Kubernetes deployment — combining policy compliance, runtime health, and cluster state into one clear number.
Platform and SRE teams lack a unified, data-driven signal to evaluate deployment readiness across clusters, workloads, and policies.
Monitoring, policies, approvals, and cluster health live in different tools. Teams context-switch across multiple dashboards before every deploy decision.
Without a unified metric, deploy/no-deploy calls depend on who's on-call, their experience level, and how they feel in the moment.
Bad deploys mean downtime, debugging hours, and incident response. Every rollback burns engineering time that should go toward building.
A single, deterministic metric for deployment readiness — fully auditable and explainable.
CSC aggregates policy compliance, runtime signals, cluster health, and historical patterns into a single 0–100 score — eliminating the need to correlate signals across multiple monitoring tools.
Every point in the score maps to a specific check. See exactly why a deployment scored 87 or 42 — no black box, full audit trail.
Set thresholds to auto-approve or flag deployments for review. CSC ≥70 deploys automatically. CSC <50 triggers a warning with full risk context. Your team defines the rules.
Deterministic model — every point is accounted for
ChangeGuard connects to your current CI/CD and GitOps toolchain with no pipeline migration required.
Detects changes from your existing pipeline. GitHub webhook events are correlated with CSC scores in real time — no migration required.
Deep ArgoCD integration with multi-instance fleet management. Slack alerts and daily digests deliver proactive cluster health summaries to your team without requiring manual monitoring.
Validating webhook surfaces CSC scores directly in your pipeline. Deployments below threshold trigger a warning with full risk breakdown — your team stays in control of the final call.
A purpose-built deployment intelligence layer for Kubernetes-native engineering teams.
Query your cluster state in natural language and receive a structured deployment readiness assessment — grounded in live CSC scores, active risks, and workload health data.
Every risk categorized by severity — Blocker, High, Medium — with point impact and specific remediation. Know exactly what's flagging your deploy and how to fix it.
Native ArgoCD integration with full fleet visibility — sync status, health, error correlation, and controller metrics across all your GitOps-managed clusters in one view.
Every deployment decision logged — who deployed what, when, the CSC score at the time, and the outcome. CSV export for compliance teams and SOC-2 audits.
Track CSC trends over time. Live deployment feed surfaces every change with risk context. Scheduled digest reports summarize cluster health, deployment volume, and top risks, delivered directly to your configured Slack channels.
Each customer gets a fully isolated database, independent API keys, and tenant-scoped audit trails. Deploy ChangeGuard once — serve multiple teams or customers with zero cross-tenant data access.
Scaled to your cluster count and deployment volume
Schedule a guided demonstration — our team will follow up within one business day.
ChangeGuard provides your engineering team with a single, explainable deployment readiness score for every Kubernetes change — backed by live cluster data and a full audit trail.