◆ Opsy AI

Settings in plain words
Root cause, right away

AI in Opsy works on top of your organization's standard, not instead of it. Build and deploy follow the admin's templates and rules; AI helps describe a service's settings and understand why it didn't come up. Deploys go only through Opsy.

Settings in one line Failure analysis Model on the Opsy server
◆ What AI does

Where time usually gets lost

Generating manifests is not the point. AI covers two things: describing a service without YAML and quickly understanding what broke.

Settings

Describe it in words

Replicas, limits, domain, healthcheck - one line in English or Russian. Each line becomes a setting: you see it in the form and can remove it.

Diagnostics

Why it didn't come up

Instead of a bare timeout - the cause: Kubernetes events, a mount error with the server's reply, out of memory. The decision stays with you.

Alerts

Failures to your messenger

Restarts and anomalies go to Telegram, Slack or email together with the likely cause.

◆ Organization standard

AI doesn't invent the build - the admin defines it

Dockerfile, pipeline and Helm come from templates, not fresh generation. The result is predictable and the same for every team.

The admin sets the rules

  • Which branch goes to which environment and cluster
  • Pre-deploy checks: SAST and the level that stops a deploy
  • Where a deploy or promotion needs approval
  • Who can do what: deploy, variables, rollback

Opsy builds from the template

  • Dockerfile per stack: Java (Maven), Node.js, Nuxt, Next.js, Go, Python, PHP, static frontend
  • Build pipeline in GitLab, Azure DevOps or GitHub
  • Helm by the standard: probes, limits, security context
  • Variables and secrets - in the form, by permission, not through AI text
◆ Production safety

Only what Opsy built reaches the cluster

An image from a foreign registry can't be shipped around Opsy.

From git

Opsy builds the image

Built from your repository. "Deploy only" redeploys the image of the last successful deploy - you can't type in your own.

No bypass

No back door

Direct API deploys are disabled, workloads can't be created from a manifest, and arbitrary Helm charts are admin-only.

History

Who, what and which image

Every deploy, rollback and promotion is in the history with its author and image. Roll back to any revision in one click.

◆ Data

AI without sending data out

Own model

Model on the Opsy server

No external AI services. In an on-prem install - on your own server.

Secrets

Secrets don't go to AI

Variables and secrets are not accepted in request text - only in the form, from those who have the right.

Cluster

No access to your cluster

Cluster commands run through an agent inside your perimeter. Opsy never gets access to the cluster API.

◆ Get in touch

Learn more about Opsy AI

Want to see how Opsy AI automates deploying your applications? We'll set it up in a test environment and show it on your workloads.

info@deostech.kz
+7 705 991 9153
@deostech
No platform access to your cluster

Ready to see it on your workloads?

Demo mode is available - explore the capabilities right now.