DevAutOps converts the requests that keep landing in your DevOps queue - IP whitelisting, provisioning, access changes, cleanup - into governed, self-service apps. Once built, the requester runs the app directly instead of filing a ticket, and every run is logged for audit.
An Intelligent App wired to a Trigger. The requester fills in a short form instead of writing a ticket, and the Trigger performs the operation immediately against your cloud account.
Whoever you grant the role to. DevAutOps’s resource-level RBAC lets you authorize someone to run a specific app without giving them broad access to the underlying cloud account.
No - Triggers run immediately on submission. Recurring, ticket-shaped work like scheduled cleanup can instead run as an AI Job on a timer, with no request needed at all.
Not everything is. But because building the app is a sentence plus a generated form rather than a hand-written internal tool, the bar for "worth automating" is much lower than most teams assume.
After nine years in DevOps, I see DevAutOps as a strong solution to operational toil. Its self-service automation and natural-language workflows can reduce MTTR, standardize repetitive tasks, and help engineering teams focus on reliability, security, and scale.
Turn the request into a DevAutOps app: describe the task once, and the generated app lets requesters run it themselves instead of filing a ticket for your team to pick up.
The most common candidates are IP whitelisting, resource provisioning, access grants and revocations, and routine cleanup - anything repetitive enough that a human doesn’t need to make a judgment call each time.
A script is usually ungoverned, unaudited, and known only to whoever wrote it. A DevAutOps app is access-controlled, logged on every run, and documented automatically, so the whole team can rely on it.
No - every execution of a Trigger is logged with status and history, giving you an audit trail without needing a ticket to generate it.
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