Getting started
Getting started with infrastructure automation
How to choose your first automation, scope it so it cannot do damage, and prove it works before you expand.
From support tickets to cloud provisioning and backup operations, StackHeal helps you automate the work behind modern infrastructure — so your team can move faster, deliver better service, and scale with confidence.
Every automated action is scoped, approvable and verified — see how the controls work.
Automation runrun_4821
“Disk usage warning on web-07 — site is slowing down.”
Reclaim disk space
wf.disk_reclaim.v3
Scoped to approved actions
61%
94%
Disk usage after run · 42 GB reclaimed
Connects to the tools you run
Product ecosystem
Bring the workflows that run your infrastructure into one connected automation platform.
Turn incoming support requests into structured, actionable workflows.
Learn moreStandardize virtual machine provisioning and infrastructure lifecycle operations.
Learn moreCoordinate backup jobs, monitor outcomes, and simplify recovery procedures.
Learn moreConnect monitoring signals with troubleshooting and approved remediation workflows.
Learn moreConnect systems and automate repetitive operational processes.
Learn moreBring support, monitoring, and infrastructure systems together.
Learn moreAlso available: Server and Data Center Operations — scheduled, staged operations across hosts, racks and sites.
The platform
Support requests, infrastructure resources, monitoring signals, automation workflows and verification all meet in one place — instead of being stitched together by people moving between consoles.
StackHeal
Connects every system below
The handoffs between support, infrastructure and monitoring stop being manual relays and become steps in a single run.
One run history answers what happened, on which asset, under whose approval, and whether the outcome was verified.
The same workflow definition runs the same way across shifts, sites, tenants and platforms.
Solutions
Different operations, same underlying problem: too much of the work between a request and a result is done by hand.
How it works
One real workflow, stage by stage. Each step is observable, and each step can be configured to stop and ask a person.
Step 1 of 5
A customer or colleague submits a ticket describing a symptom, in their own words. Nothing about the request is structured yet.
What exists at this stage
Illustrative values from a sample run.
AI in operations
StackHeal uses AI where interpretation genuinely helps — reading an operational request, understanding its context, assisting a diagnosis, matching a runbook. What it does not do is decide what is permitted.
Interpretation proposes. Policy permits.
Permission, scope and blast radius are evaluated in code against a registered action catalogue — not inferred by a model. Sensitive operations can require an approval before anything runs.
01
A request written in prose is classified into your own operational taxonomy, resolved to a specific asset, and matched to the workflow you have approved for it.
Interpretation proposes. Policy permits.
02
Related signals are correlated into one incident, the read-only checks a first responder would run are executed, and the pattern is matched against your runbooks and past incidents.
Diagnostics are read-only by default.
03
An order or ticket is normalised into a specification, checked against entitlement and quota rules, and built from an approved template with verification afterwards.
Only registered templates and sizes are selectable.
Workflows compose from an action catalogue you control. There is no general-purpose shell for a model to reach for, and it cannot introduce a new capability at run time.
Whether an action may run on an asset is a deterministic policy evaluation, not model output. Scope, tenant and environment are resolved outside the model's influence.
Sensitive operations pause for a named approver, who sees the resolved asset set and the exact parameters before deciding.
Outcomes are asserted against measured state. A run that cannot verify itself escalates with its findings instead of reporting success.
Why StackHeal
No invented savings percentages. These are the four things teams consistently report after the first few workflows are running.
Spend less time on the repetitive operational tasks that make up most of a queue — and keep your engineers on the problems that actually need them.
Standardise the path from request to completion so work moves at the same pace regardless of who is on shift or how deep the queue is.
See what ran, what it touched, who approved it, whether it was verified, and what failed — from one run history rather than four consoles.
Reuse the same workflow definitions as you add customers, sites and platforms, with per-tenant policy instead of per-tenant procedures.
Integrations
StackHeal is the layer between the systems that generate operational work and the systems that do it. Both sides connect through maintained connectors or through APIs and webhooks.
Where requests arrive and where outcomes need to be written back.
3 native connectors · 6 total
The platforms that actually run the workloads.
2 native connectors · 6 total
The signals that start an investigation.
2 native connectors · 5 total
Systems that hold recovery points and archive data.
3 native connectors · 5 total
How workflow steps are executed on target systems.
2 native connectors · 4 total
The generic path for anything without a dedicated connector.
4 native connectors · 4 total
On connector status: the directory labels every system as a native connector, a beta connector, API-based, or planned. We do not imply a working native connector exists for every product named — check the label, and ask us if a specific one matters to your plan.
Resources
Practical guides written for the people doing the work — how to scope a first automation, structure provisioning, make backups verifiable, and use AI in operations without handing it the keys.
Getting started
How to choose your first automation, scope it so it cannot do damage, and prove it works before you expand.
A reference structure for provisioning automation: intake, policy, validation, build and post-deployment verification.
11 min read
Reconciliation, retry policy, retention and restore testing — the four things that separate backup coverage from backup confidence.
10 min read
How to close the loop between a request system and the infrastructure behind it without handing automation unbounded access.
10 min read
Where language models genuinely help in operations work, where they should not be trusted, and the controls that make the difference.
11 min read
Discover how StackHeal can help your team connect systems, automate repetitive work, and deliver infrastructure services more efficiently.