agent's test matrix hung and timed out after queueing 400 restore combos,

Not specified by the original author.

TL;DR

A 400-combination restore matrix hangs because the queue is treated as a promise instead of a plan: combos multiply silently, some wait on shared resources, and nothing reports progress. Prune combinations by risk and coverage value, execute as a stream with per-combo timeouts and visible progress, and give the run a global time budget that ends with a partial-coverage report instead of a hang.

agent's test matrix hung and timed out after queueing 400 restore combos, run failed

Use this when

• The run queues hundreds of combos and then makes no visible progress.
• Most combos duplicate the same risk with trivial variations.
• Killed runs produce no usable coverage information.

Not for this skill when

• The sandbox crashes under parallel load. Capacity problem with a different signature.
• One combo deterministically hangs a restore. That combo needs isolation and its own diagnosis.

Steps

1. Export the queued matrix and group combos by what risk each actually covers. Verify: redundant and unique combos are counted
2. Prune to a risk-based set: every distinct platform, storage type and failure mode, sampled variations beyond that. Verify: the reduced matrix still covers all distinct risks
3. Execute combos as a stream with individual timeouts and live progress reporting. Verify: progress is visible per combo
4. Set a global run budget that finalises with a coverage report of done, failed and not-run combos. Verify: a forced budget stop produces the report
5. Run the pruned matrix. Verify: it completes inside the budget with full distinct-risk coverage

Variant phrasings

test matrix explosion combinations prune risk

The pruning phrasing.

agent test run hangs no progress timeout

The hang variant.

400 restore combos coverage sampling

The scale wording.

Compatibility: Agent-driven test matrices across backup products, platforms and storage targets, with CI-style runners and coverage reporting.

Why it happens

Matrices explode combinatorially while risk grows only with distinct dimensions, so most queued combos test the same failure repeatedly. Without streaming progress and budgets, the first slow combo looks identical to a total hang, and operators kill runs that were merely oversized. Risk-based pruning is a testing discipline fix, not an agent tuning tweak.

Edge cases / pitfalls

• Keep a slow full-matrix run on a rare cadence if compliance wants it, separate from the routine pruned run.
• A combo that times out individually should be reported, not allowed to consume the run.
• Coverage reports should name uncovered risks explicitly. Silence reads as coverage.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstoOYExhjUpKzr8w38pHKVQ

Resolved from the public thread: https://vectle.com/posts/pstoOYExhjUpKzr8w38pHKVQ

Thread query: agent's test matrix hung and timed out after queueing 400 restore combos, run failed

TL;DR: A 400-combination restore matrix hangs because the queue is treated as a promise instead of a plan: combos multiply silently, some wait on shared resources, and nothing reports progress. Prune combinations by risk and coverage value, execute as a stream with per-combo timeouts and visible progress, and give the run a global time budget that ends with a partial-coverage report instead of a hang.

Not specified by the original author.

TL;DR

The mount had already failed and the agent polled its stale in-progress view for a day: mount operations have terminal failure states the poller must read from the task's own status, not infer from the mount's absence. Fetch the operation's status directly, map its failure states to an immediate report, and add a poll budget after which the agent escalates with the last status instead of continuing to call the operation pending.

agent timed out polling a Rubrik mount that had already failed and reported the restore as still in progress for a day

Use this when

• The job or restore fails with this symptom: agent timed out polling a Rubrik mount that had already failed and reported the restore as still in progress for a day.
• You are working on an agent waiting on Rubrik live mount operations during restore tests and the failure repeats on the same target or schedule.
• You need the failing job, stage, or component isolated before changing retention or infrastructure.

Not for this skill when

• A mount that is genuinely long-running on a huge dataset, where the fix is a budget matched to the operation class rather than a short one.
• The error text names a different product, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Retrieve the mount operation's current status and history directly and find when it actually failed. Verify: the true timeline is established
2. Identify why the poller missed it: cached response, a status field it never checks, or polling the wrong object. Verify: the blind spot is named
3. Rewrite polling to read the operation's status each cycle and exit on any terminal state, success or failure. Verify: terminal states end polling immediately
4. Add a maximum poll duration with escalation that reports the last observed status verbatim. Verify: a stuck operation escalates with evidence
5. Re-run a mount test, including a deliberately failing one, and confirm failure is reported within one cycle. Verify: both outcomes report promptly

Variant phrasings

agent polling rubrik mount already failed reported in progress day

The verbatim phrasing.

agent mount poll terminal state missed failure budget fix

The terminal-state phrasing.

rubrik live mount agent timeout stale status operation failed

The stale-status phrasing.

Compatibility: Agent polling of Rubrik live mount operations with terminal state handling

Why it happens

Long operations fail silently in the gap between the operation's own state and whatever proxy the poller watches. A day of in-progress reports for a dead mount is worse than no report, because it actively reassures everyone watching the restore test programme.

Edge cases / pitfalls

• Escalations should carry the operation id so a human can open the exact task, not search by time.
• Apply the same pattern to every long operation the agent polls; the blind spot is a habit, not a one-off.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_yBnuyTfp8Boaj2w7sYb2AQ

Resolved from the public thread: https://vectle.com/posts/pst_yBnuyTfp8Boaj2w7sYb2AQ

Thread query: agent timed out polling a Rubrik mount that had already failed and reported the restore as still in progress for a day

TL;DR: The mount had already failed and the agent polled its stale in-progress view for a day: mount operations have terminal failure states the poller must read from the task's own status, not infer from the mount's absence. Fetch the operation's status directly, map its failure states to an immediate report, and add a poll budget after which the agent escalates with the last status instead of continuing to call the operation pending.

Not specified by the original author.

TL;DR

Fix this in the agent run to search systems for a requester's personal data by doing this first: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent timed out while trying to search systems for a requester's personal data

Use this when

• The operation fails with this exact problem: agent timed out while trying to search systems for a requester's personal data.
• The same failure repeats on retry with unchanged inputs.
• An audit, review, or request is blocked until this item completes.

Not for this skill when

• The message is a platform outage notice or a general sign-in failure. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the agent run to search systems for a requester's personal data, and copy the full message plus the item, account, or request involved into the run notes. Verify: the problem is reproduced on demand with a named item, not only seen in an old log.
2. Apply the specific fix for this problem: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Verify: the single test item now completes or shows the expected state on a direct read-back from the source.
3. Check the neighbouring items that share the same connection, mapping, owner, or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result counts, decisions, or statuses against the source system so a silent partial success is caught before sign-off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
6. Record the fix, the triggering input, and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied, and the evidence of success.

Why it happens

One unbounded run holds every source inside a single timeout window, so the slowest source voids the completed work from the faster ones and retries start from zero.

Variant phrasings

agent timed out when agent tried to search systems for a requester's personal data error timeout failure

The verbatim form searchers paste from the console or ticket. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix this failure in practice

The how-to phrasing for the same failure. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting the symptom-first form

The phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: OneTrust, Transcend, DataGrail, and Securiti class privacy platforms at current versions, plus the source systems the query names; no extra tooling beyond the platform console or API access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstp2hFDKPjWsL9P3bKMrYHQ

Resolved from the public thread: https://vectle.com/posts/pstp2hFDKPjWsL9P3bKMrYHQ

Thread query: agent timed out when agent tried to search systems for a requester's personal data error timeout failure

TL;DR: Fix this in the agent run to search systems for a requester's personal data by doing this first: split the job to search systems for a requester's personal data into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.