What Is DevAutOps? The AI Cloud Operations Platform, Explained

Every cloud team ends up running the same handful of operations over and over: rotate a key, spin up an environment, resize a database, revoke access after an offboarding, pull an audit report before a compliance review. None of this is hard, exactly - it’s just repetitive, easy to get slightly wrong, and rarely worth writing a full internal tool for. So it stays manual, stuck in runbooks, Slack threads, and one-off scripts that only the person who wrote them fully understands.

DevAutOps is an AI Cloud Operations Platform built to close that gap. It turns repetitive DevOps and cloud operations work into secure, reusable applications, AI Jobs, triggers, and automated workflows across AWS, Azure, and GCP - created once, governed centrally, and reused safely by anyone on the team, not just the engineer who understands the underlying infrastructure.

The problem: manual cloud ops don’t scale

In most organizations, cloud operations knowledge lives in people’s heads and in scattered scripts. That works fine at small scale, but it breaks down as teams and cloud footprints grow:

• ✓Every repetitive task - user provisioning, cost reporting, endpoint monitoring, key rotation - gets solved from scratch, by whoever happens to pick it up.
• ✓Non-technical stakeholders funnel routine requests through DevOps and platform engineers, creating a queue for work that shouldn’t need an engineer at all.
• ✓One-off scripts aren’t audited, versioned, or access-controlled the way production infrastructure is, which creates real governance and security gaps.
• ✓Tribal knowledge doesn’t transfer. When the person who wrote the script leaves, the automation becomes a black box.

DevAutOps’s answer is to make the self-service path the governed path: instead of ungoverned scripts or a permanent queue for the platform team, procedures become reusable applications that anyone with the right access can run, with every execution logged and every function centrally controlled.

Four product areas, one operations platform

DevAutOps is organized around four connected capabilities that cover the full lifecycle of an operational task, from turning a procedure into software to watching it run in production.

1. Intelligent Apps, Apps & Triggers

Describe a procedure in natural language and DevAutOps generates a working application around it - an Intelligent App with AI-written backend logic, or a drag-and-drop app you assemble yourself. Triggers turn any app into an API, a webhook, or a schedule, so it can run on its own or be called from other systems. This is how a one-off script becomes a reusable capability: written once, then executed by a whole team without anyone touching the underlying code.

2. AI Jobs

AI Jobs are AI-written functions that DevAutOps deploys for you, wired into your existing cloud accounts, and run on a schedule, a recurring interval, a webhook, or an operational condition. Every job execution is tracked, which is what plan limits like “1,500 job executions/month” on the Team plan or “8,000/month” on Business actually meter.

3. Monitoring & Ask Cloud

You can’t govern what you can’t see. DevAutOps includes status monitoring for endpoints and resources, audit logs for everything that ran, and Ask Cloud - a chat-style interface for asking questions about your live environment instead of digging through consoles and dashboards by hand.

4. Secrets, Assets & Access Governance

IT assets and credentials are tracked and held securely in a built-in Secrets & Assets manager, with fine-grained, role-based access so platform users only see and run what they’re entitled to. On higher tiers this extends to SSO/SAML and private deployment for organizations with stricter compliance requirements.

Bring your own cloud, and your own AI models

DevAutOps deploys automations directly into your own AWS, Azure, or GCP account, using your own access roles and credentials - your data and functions never have to leave your cloud. The same “bring your own” principle applies to AI: connect your own keys for Anthropic, OpenAI, Google, or another provider (including cloud-native AI services and custom endpoints), or fall back to the platform default. A managed, fully isolated hosting option is also available for teams that would rather not self-host.

Where teams use it

The same underlying pattern - describe a procedure, turn it into a governed self-service app - shows up across several use cases:

• ✓Cloud Operations - routine provisioning, scaling, and maintenance tasks turned into self-service apps.
• ✓Cloud Governance - policy checks, access reviews, and compliance reporting that run on a schedule and leave an audit trail.
• ✓Security Automation - key rotation, firewall changes, and access revocation as reusable, auditable workflows instead of ad hoc scripts.
• ✓Platform Engineering - internal developer platforms and golden-path tooling without building a bespoke portal from scratch.
• ✓Internal Portals - lightweight, access-controlled front ends for operations that non-engineers need to trigger safely.

As one DevOps engineer put it after nine years in the field: DevAutOps’s self-service automation and natural-language workflows are a practical way to cut operational toil, standardize repetitive tasks, and let engineering teams spend their time on reliability, security, and scale instead of ticket queues.

Getting started

DevAutOps offers five plans, from a 14-day Free Trial with no credit card required, through Team, Growth, and Business, up to custom Enterprise deployments with SSO/SAML, private deployment, and a dedicated support team. Every tier lets you bring your own cloud accounts and AI models, so evaluating the platform doesn’t mean re-architecting anything first.

If you want to see how it fits your stack before committing, the fastest paths are starting the free trial directly or booking a live walkthrough with a solutions engineer.