Developers ship services themselves, to your standard. If it breaks, AI names the cause. We never get access to your cluster or server.
Opsy doesn't drop the service at rollout. It keeps watching: warns about OOMKill before the crash, names the cause of a failure and shows where you're paying for unused resources.
Doesn't matter who sets it up - DevOps or the developer themselves: pipeline, Helm, permissions, security jobs, from scratch every time.
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, OpenShift and Docker hosts. Replaces nothing - adds onboarding, permissions and security.
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.
The same agent installs on a Docker machine with a single docker run and works the same way: outbound HTTPS only, no inbound connections, we never get access to your server. Deploy from the same form, with the same permissions and audit.
From the form or on push to a branch. dev → stage → prod environments with promotion, live deploy steps, one-click rollback and auto-rollback if the service fails to start.
PostgreSQL, PostGIS, Redis, RabbitMQ, MongoDB, MySQL, MariaDB, ClickHouse, Kafka, Memcached, Keycloak, MinIO - in a couple of clicks, passwords generated for you. Or your own docker-compose.yml.
An app domain with a Let's Encrypt certificate that is issued and renewed automatically. For a closed perimeter - your own certificate.
Opsy checks the compose file before it runs: no privileged, host network, host paths or docker.sock. Logs, containers and resources in the same interface as for a cluster.
Repo and a cluster or Docker host: GitLab / Azure / GitHub · agent inside your perimeter.
«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.
FROM golang:1.23-alpine EXPOSE 8080
replicas: 2
resources: { cpu: 200m }
stages: [build, sast, deploy]
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.
You set policy once instead of clearing «spin me up a service» tickets. Templates and permissions stop being your personal responsibility.
Service to prod with no waiting or tickets. Your team, your pace.
We'll deploy into a test environment and go through your security checklist.
Without granting cluster access. We'll look at it on your workloads.