Forget hand-writing manifests - Opsy detects the stack and rolls out the service to your standard. And if it breaks, AI instantly finds the cause in the logs.
FROM golang:1.23-alpine EXPOSE 8080
replicas: 2
resources: { cpu: 200m }
stages: [build, sast, deploy]
No more digging through Grafana and logs by hand - AI correlates them in seconds.
Doesn't matter who sets it up - DevOps or the developer themselves: pipeline, Helm, permissions, security jobs, from scratch every time.
In a regulated environment - government, finance, security - handing cluster access to an external service is a hard stop. Opsy is built so that isn't needed: the agent lives inside your perimeter and initiates outbound HTTPS requests for tasks, running kubectl, helm and git locally. No inbound port is open, and no cluster key ever leaves.
For a security team this turns a blocked integration into an approved one: no cluster access is granted, data and credentials stay in your perimeter, and every agent action is in the audit log.
Repo and cluster: GitLab / Azure / GitHub · agent inside the cluster.
«Spin up a Go service on port 8080» - Opsy parses the repo itself.
Pipeline with SAST, Helm, Dockerfile, environments and permissions - by one standard.
Under your policy: RBAC, approvals, audit, one-click rollback.
Every new service is onboarded the same way, under one policy.
Who can deploy where is your decision, not chance.
Critical changes go through a human, not automatically.
Deploy is blocked on critical vulnerabilities before rollout.
Who, what, when and with what result - in the log.
Opsy parses the project and generates Helm, Dockerfile and a pipeline under one policy.
All deploys in one place. One-click rollback.
Roles and namespaces: who can deploy where.
«Where is high CPU?» - AI finds the right pods itself.
CPU and memory recommendations, not just charts.
AI parses pod logs and events, finds the crash cause and OOM - no manual grep.
Gradual rollout with metric-based auto-rollback. No manual tracking.
dev → stage → prod with approvals and config carry-over.
Scanner by project type, deploy blocked on critical findings.
New services reach prod in minutes. DevOps isn't the bottleneck. One delivery standard.
Zero cluster access, data in the perimeter, unified permissions and SAST on every service.
Setup routine moves into the product. You set policy instead of clearing tickets.
Service to prod with no waiting or tickets. Your team, your pace.
A golden-path construction kit - you build and glue it yourself. Opsy is ready and works right away.
They need access to your infrastructure. We don't. Data stays in the perimeter.
They will. Every time. Their own way. Opsy does it once, as policy, for all teams.
Deploys fully in your perimeter: configuration via environment variables, agent image in your registry. No tie to our server.
GitLab, Azure DevOps, GitHub · Kubernetes and OpenShift. Replaces nothing - adds onboarding, permissions and security.
We'll deploy into a test environment and go through your security checklist. Free pilot.
Without granting cluster access. See it on your workloads.
