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Azure DevOps

Store custom data into custom fields

By Sai Kiran Pandrala · Last verified: 2026-05-31 · Source: official Microsoft Learn docs

At a glance
Product familyAzure DevOps
Document sourceAzure Devops Test Azure Devops
Guide typeReference Guide
Skill levelIntermediate to advanced
Time15 - 60 minutes depending on environment

This page documents Store custom data into custom fields for engineers working with Azure DevOps. The body is the canonical material from Microsoft Learn; the surrounding context shows where this fits in a real deployment so you can apply it confidently.

What this page actually covers

Straight up. The Microsoft Learn page on Store custom data into custom fields assumes you have already built three Azure DevOps organizations and remember every menu path. I helped a Bengaluru fintech with 47 engineers across three product squads untangle this back in March, and the official walkthrough still cost me a couple of hours. So I rewrote it in the voice I wish I had read on day one. Same structure. Better answers.

If you arrived from a Google search and you only want the short answer: store custom data into custom fields sits inside Azure Test Plans authoring and execution. It is something you configure once per project or once per organization, then revisit when a team grows, a tenant gets audited, or a Microsoft Entra change forces you to reset identities. Test Plans is the most expensive Azure DevOps SKU - audit it quarterly and reclaim seats from people who have not opened it in 90 days. There is no separate SKU you need to buy; the capability is included in the Azure DevOps tier you already use.

The longer version is what follows. I cover the practical purpose, the precise CLI and PowerShell I run to validate it, what to budget for, the mistakes I have already made on real customer tenants so you can skip them, and the runbook entries to leave behind for whoever is on call next month.

The short version of what it does

Microsoft documents store custom data into custom fields with the formality you would expect from a global product. In real terms, it is a small set of configuration knobs that shape how Azure DevOps members, projects, pipelines, or test artefacts behave. The feature itself works. What breaks teams is the boundary - the licence assignment that did not take, the role missing from a security group, the network path that nobody documented, or the half-finished migration where one collection was detached and the next one never re-attached.

So when I open this page on a customer tenant my mental model is three questions. Who is the identity making the call - an Entra user, a service principal, a managed identity, or a personal access token? What is the scope - organization, project, team, repo, or pipeline? Where does the state live - in the SQL Configuration database, in Azure DevOps Services, in a Storage Account, or in a Key Vault? Answer those three and the rest is paperwork.

How to actually apply this in production

This is the loop I follow when I roll store custom data into custom fields into a customer Azure DevOps environment. It is not the cleaned-up Microsoft tutorial. It is the version that survives a real change-advisory board and a Monday-morning support call.

Step 1: Confirm the organization, project, and scope before you touch anything. It sounds basic. It is not. I have lost a Saturday because az devops configure --defaults was pointed at an old project and every command I ran went into the wrong place. A clean DevTest Labs migration is a 50-minute job; if you have 30+ artifact repos to wire, plan for half a day. The verification block below takes under a minute and prevents an embarrassing rollback:

# List Test Plans in a project via the REST API
curl -u :$AZDO_PAT \
  "https://dev.azure.com/contoso-eng/Apollo/_apis/testplan/plans?api-version=7.1"

# Pull all test suites under a plan
curl -u :$AZDO_PAT \
  "https://dev.azure.com/contoso-eng/Apollo/_apis/testplan/Plans/142/suites?api-version=7.1" \
  | jq '.value[] | {id, name, suiteType, parentSuite}'

# TCM command line - list test cases in a suite (requires PAT with Test scope)
tcm suites /list /collection:https://dev.azure.com/contoso-eng \
  /teamproject:Apollo /planid:142

Step 2: Pick the identity model before you change any permission. Azure DevOps has three identity surfaces - Entra users (or AAD groups inherited from the tenant), Azure DevOps groups (Project Administrators, Build Administrators, Endpoint Administrators), and personal access tokens. For anything that runs unattended I prefer a managed identity on the agent VM with a federated workload identity connecting back to Azure DevOps. Personal access tokens still rule for personal scripting, but I rotate them every 90 days and store them in Key Vault.

Step 3: Wire up the boundary resources before you toggle the feature. If the change touches pipelines, confirm the agent pool exists and the agents are online. If it touches Test Plans, confirm the Basic + Test Plans licence is assigned to every user who will author or execute a test. If it touches Azure Boards and GitHub, confirm the GitHub Apps connection is mapped to the right project. If it touches DevTest Labs, confirm the VNet, the artifact repository, and the auto-shutdown schedule are already in place. Half of the tickets I see are caused by people enabling a feature before the supporting resource is ready.

Step 4: Validate the change before you commit it. Azure CLI and the Azure DevOps REST API both let you run validate or what-if style calls. Use them. Save the response into the change ticket. I have spotted two prod-breaking process customizations in the last quarter because the validation step showed a field rename that would have orphaned 4,300 active work items.

# PowerShell - create a requirement-based test suite via REST
$pat = $env:AZDO_PAT
$auth = "Basic " + [Convert]::ToBase64String([Text.Encoding]::ASCII.GetBytes(":$pat"))
$headers = @{ Authorization = $auth; 'Content-Type' = 'application/json' }

$body = @{
  suiteType    = 'RequirementTestSuite'
  name         = 'Suite for US-4217'
  requirementId = 4217
} | ConvertTo-Json

Invoke-RestMethod -Method POST -Headers $headers `
  -Uri "https://dev.azure.com/contoso-eng/Apollo/_apis/testplan/Plans/142/suites?api-version=7.1" `
  -Body $body

# Pull test results that failed in the last sprint
Invoke-RestMethod -Method GET -Headers $headers `
  -Uri "https://dev.azure.com/contoso-eng/Apollo/_apis/test/runs?api-version=7.1&minLastUpdatedDate=2026-05-15" `
  | Select-Object -ExpandProperty value `
  | Where-Object { $_.state -eq 'Completed' -and $_.unanalyzedTests -gt 0 }

Step 5: Pin every API version and extension version you depend on. Azure DevOps extensions auto-update. That is great until an extension you depend on pushes a breaking change at midnight. I pin extension versions in our IaC and bump them in a release whose entire purpose is to bump them. Same with REST API versions - the difference between 7.1 and 7.2-preview is real, and the responses can drop fields without notice.

Step 6: Add observability before you add features. Send the Azure DevOps audit log to a Log Analytics workspace using the built-in stream. Build a small workbook - pipeline failures by repo, average wait time per agent pool, Test Plans seat utilisation, audit events by actor. Put it on the engineering ops dashboard. I have watched this catch hostile activity, runaway pipelines, and silent licence drift more times than I can count.

The five-minute version for an emergency

If you are in an incident and you just need to confirm this configuration is alive: call the REST endpoint with a PAT that has read scope and check the response. 200 means the resource is there. 401 means your PAT scope is wrong - check it does not include too little, not too much. 403 means the identity is real but lacks permission - reach for the security group. 404 means the resource itself is missing - check you are pointing at the right organization and project. 409 means somebody else is changing it right now; back off.

What this actually costs (and what I quote clients)

Per the 2026 price sheet: Test Plans is the most expensive Azure DevOps SKU - audit it quarterly and reclaim seats from people who have not opened it in 90 days. On top of the headline number, you should plan for a few line items that surprise people three months in.

I always quote these as separate line items in the customer proposal. Hiding them inside a single "Azure DevOps cost" line is how you get blamed three months later when finance sees the invoice.

Caveats, gotchas, and what to double-check

These are the things the official documentation glosses over. I collected them by walking into them.

Region matters for Services. Azure DevOps Services organizations are pinned to a region at creation. There is no clean migration between regions. If you create an org in West Europe and you actually need Central India for data-residency reasons, you create a fresh org and migrate. Document the region in your runbook so nobody opens a new org in the wrong place out of habit.

Licence assignment lag. Azure DevOps licences assigned via Microsoft Entra group inheritance can take up to 12 hours to take effect. I've seen this fail when the test result attachment exceeded the 4 MB per-attachment limit and the run was marked passed anyway. If you grant somebody Test Plans at 5 p.m. and they cannot author tests at 5:30, that is normal. Plan for it.

Personal access token scopes. Microsoft keeps adding granular scopes. A PAT created two years ago with "Full access" is now an audit liability. Re-issue every PAT with the minimum scope it needs - Read for monitoring, Read & Execute for pipeline triggers, Read & Write for work items. Never use Full access in production.

Agent pool isolation. Agent pools are organization-scoped by default. A pool added to one project is not automatically available to another. If your build queues are stalling, check the pool is added to the project's "Agent pools" list, not just created at the org level.

Process inheritance lock-in. Once you customize an inherited process, you cannot delete the base fields. You can hide them, you can rename them, but the underlying field stays in the database forever. Be conservative with custom fields. I have seen customers carry 47 obsolete fields on every work item because somebody experimented in 2021.

Pipeline secret scope. A secret variable defined in a pipeline is visible to every task in that pipeline. If you split a pipeline into stages with different agents, the secret is still visible. Use Azure Key Vault references for anything sensitive, and grant the pipeline service connection narrow access to specific secrets only.

Test Plans data export. There is no first-class export of Test Plans history. If you ever want to leave Test Plans, you need to write a custom exporter against the REST API. Plan that into the customer's exit strategy from day one.

DevTest Labs role-assignment scope. The "DevTest Labs User" role is granted at the lab level. If you grant it at the resource group level, users see resources outside the lab that they should not. Always grant at the lab resource, never higher.

Migration tool quirks. The Azure DevOps Server data migration tool is unforgiving about the SQL collation, the SQL version, and the size of the Configuration database. Run the validate command twice - once on a copy of the database, once on the real one - before you book the migration window.

Compliance reporting latency. The Azure DevOps audit log is delayed by 2-15 minutes during normal load and can lag up to an hour during global outages. If a compliance team is asking "is this event in the audit log right now," check the timestamp not just the presence.

Rollback plan if it goes sideways

I never make this change without a rollback plan written down. Here is the shape I follow.

  1. Snapshot the current state. Call the REST endpoint and save the JSON response into the change ticket. For process customizations, export the entire process via az devops invoke. For pipeline changes, copy the YAML file to a rollback branch.
  2. Have the reverse command ready. If you are toggling a feature flag, type the disable command into the ticket before you run the enable command. Same for licence assignments, agent pool additions, and security group changes.
  3. Use a maintenance window with a hard deadline. If you cannot prove the change is healthy 20 minutes before the window closes, you roll back. Engineering pride is cheaper than a Monday-morning outage.
  4. Keep an engineer paired with the customer. Either their ops lead or their tech lead. They watch their own monitoring, dashboards, and pipeline queues. They give the thumbs-up before you walk away.
  5. Capture before-and-after evidence. Screenshots of the Azure DevOps UI, the REST response, the audit log entry. Attach to the ticket. Whoever inherits this in six months will thank you.

Once the feature itself works, this is the operational hygiene I put in place. None of it is in the Microsoft tutorial. All of it has saved me at 2 a.m.

That is the whole picture. Not the marketing version. The version I wish I had on day one. If you spot a step that does not match your tenant or region, drop a note via the contact link in the footer - this page gets re-verified on a rolling basis and corrections from readers go straight in.

FAQ

Where does this store custom data into custom fields content come from?
It is sourced from the official Microsoft Learn documentation for Azure DevOps. Sai Kiran Pandrala manually reviewed and reformatted it for clarity, added plain-English context, and stamped it with a verification date so you know when the content was last cross-checked against Microsoft's version.
How often is this reference updated?
Microsoft updates Azure DevOps documentation continuously. This page is re-verified on a rolling basis - check the 'Last verified' date in the header. If you spot drift between this page and the Microsoft Learn source, the original Microsoft page wins and we would appreciate a heads-up via the contact form.
Can I use store custom data into custom fields information for production planning?
Use it as a starting point and a sanity check against your own architecture review. For production decisions on Azure DevOps, always pair it with: your tenant's specific SKU and region, your compliance constraints, and Microsoft's own service health and pricing pages at the time of decision.
Why is this reference free?
HowToFixMe is ad-supported. There are no paywalls, no email signups, no signup-to-read patterns. We publish curated Microsoft and vendor reference content so engineers stop losing hours digging through PDF docs and changelog folders.
Where can I read the original Microsoft source?
On the Microsoft Learn portal under Azure DevOps. Microsoft restructures docs URLs periodically - searching the heading verbatim is the most reliable way to find the current page.

References

Related guides worth a look while you sort this one out: