Sentinels
Prove every infrastructure change is safe
Stop squinting at dashboards and working through a kubectl checklist after every change. Sentinels package AI-assisted analysis and deep integration tests into one automated, auditable check you can run across any set of clusters.
Three kinds of checks
Everything a senior SRE would check, every time
Combine checks into one sentinel to confirm everything from container scheduling to storage and networking is working as expected.
AI resource validation
Deep-dive any resource, graded against your rules
Point a sentinel at a Deployment, StatefulSet, or any other resource. It investigates everything associated with it, including logs and related components, and returns a pass or fail.
Natural-language rule files, versioned in Git, tell the AI what to ignore and what counts as failure, so your team’s tribal knowledge is applied the same way every time.
Intelligent log tailing
Catch the failures that only show up over time
Watch error logs in chosen namespaces for a set window after a change, and analyze them with the same rule files. It’s the automated version of running kubectl logs -f and waiting to see if anything breaks.
Deep integration testing
Exercise the cluster, don’t just observe it
A default suite starts StatefulSets, binds storage volumes, and confirms pod-to-pod networking, with no setup required. Bring your own Terratest suites to validate the paths that matter to you.
Built for
The changes that keep platform teams up at night
Kubernetes upgrades
Operator changes
Network reconfigurations
GitOps native
Infrastructure tests, versioned like code
A sentinel isn’t a feature that only lives in a UI. Its checks, rules, and tests are a Kubernetes custom resource in Git, and the whole system is API-driven.
Compliance
“Where’s the test from four months ago?” Right here.
Change management often requires proof that testing happened after every significant infrastructure change. Sentinels produce it automatically: pull structured JUnit results from the API and forward them to your compliance system.
Results are stored and retrievable, so audits stop being a search through old Slack threads and Confluence pages.
Read the announcementQuestions
Why use AI for infrastructure testing?
Can I bring my own tests?
How do results reach our compliance tooling?
From checklists to guarantees
See a sentinel validate an upgrade across your clusters in a 30-minute demo.
