Skip to content

For Data Centers

Less Coordination Overhead. More Consistent Operations.

Colocation and data center operations run on recurring work: site checks, remote hands requests, patch campaigns, capacity moves, decommissions. StackHeal makes each of those a defined workflow with a schedule, an approval path and a record — so the facility runs the same way regardless of who is on shift.

Maintenance run · AMS-1

Rolling, 2 at a time
  • rack A4 · hv-11

    Done
  • rack A4 · hv-12

    Done
  • rack A4 · hv-13

    Running
  • rack A5 · hv-14

    Queued
  • rack A5 · hv-15

    Needs approval
Illustrative interface preview with sample data.

The problem

What makes data center operations hard to scale

If several of these describe your week, the gap is process rather than tooling.

  • The same tasks, coordinated by hand

    Remote hands tickets, rack audits and maintenance campaigns are mostly identical each cycle, yet each one is organised individually in tickets, spreadsheets and chat.

  • Inventory that drifts from reality

    Assets move, get repurposed or get retired, and the DCIM record follows late. Decisions end up based on what someone last remembered.

  • Shift-to-shift inconsistency

    Procedures live partly in documentation and partly in people. The procedure that was followed on Tuesday is not quite the one followed on Saturday.

  • No single record of what was done

    When a customer asks what happened to their cabinet last month, the answer has to be reconstructed from several systems.

The fit

How StackHeal fits a facility operation

Connect the systems you already run — ticketing, DCIM, monitoring, hypervisors — and turn the recurring work into executable workflows.

Scheduled site and rack operations

Generate per-rack checklists for technicians, reconcile findings against inventory, and keep the evidence with the run.

Staged maintenance campaigns

Roll patches and firmware across the floor in waves, with health checks between batches and an automatic stop on failure.

Remote hands request automation

Classify incoming requests, attach asset and location context, and route them to the right queue with the right priority.

Capacity and decommission workflows

Move, reclaim and retire assets through a defined path that updates inventory, monitoring and billing as part of the run.

Use cases

Operations teams commonly automate

The workflows teams in this segment build first, because the handling is already well understood.

01

Monthly patch campaign across the floor

Target by rack and model, run in waves inside the maintenance window, verify health between batches, and report per-host results.

02

Quarterly rack audit

Issue the checklist, capture what the technician found, reconcile against DCIM, and open tickets for every discrepancy.

03

Remote hands intake

Turn a customer request into a work order with the cabinet, power feed and access requirements already resolved.

04

Asset decommission

Confirm no dependencies, take the retention copy, collect sign-off, wipe, and update every record that references the asset.

05

Environmental alert response

Correlate thermal or power signals, run the first-line checks, and escalate to the facility team with the readings attached.

06

Customer reporting

Produce a per-tenant record of operations performed, from the same run history your team works from.

Products this solution builds on

These are the products most relevant to this segment. All of them share one engine and one run history.

Learn more about Infrastructure Monitoring

Infrastructure Monitoring

Connect monitoring signals with troubleshooting and approved remediation workflows.

Learn more
Learn more about Server Operations

Server Operations

Run recurring server and facility tasks the same way every time, with a record of each run.

Learn more
Learn more about Workflow Orchestration

Workflow Orchestration

Connect systems and automate repetitive operational processes.

Learn more

Data Centers: common questions

Something not covered here? Ask our team.

See StackHeal against your own data centers workflows.

Bring two or three of the request types your team handles most often. We will walk through how each would be built, where the approvals sit, and what the run history records.