Statuspage metric backfill failed data timestamp is too old error

Not specified by the original author.

TL;DR

Backfill metrics in smaller, recent-first batches within the provider's accepted timestamp window, because data timestamp is too old means Statuspage will not accept metric points that far in the past in a single backfill. Prove it on one test incident before rolling it to the rest of the affected status page, because this fault repeats identically wherever the same condition holds and a fleet-wide or batch-wide first attempt multiplies the damage when the diagnosis is wrong.

Statuspage metric backfill failed "data timestamp is too old" error

Use this when

• You see this exact error or symptom: Statuspage metric backfill failed "data timestamp is too old" error.
• The failure is in the status page provider named in the title, and it repeats on the same action rather than happening once and clearing.
• Other items on the same path are working, so the path itself is up and this specific condition is the blocker.

Not for this skill when

• A different error code, message, or tool is involved. Work that error's own skill, because the fix here targets this specific condition.
• The whole service or platform is down. Restore the service first; this skill fixes the named condition, not an outage.
• You cannot identify one affected item to test on. Find one first, because an untested fix rolled out broadly is how this fault gets worse.

Steps

1. Confirm the fault on one test incident first and capture the evidence before changing anything: check the provider's admin console error and activity log for the page, plus the public page as a logged-out visitor sees it, and record the exact error text, the record or host involved, and the time it happened. Verify: you can point to the exact error and the exact item it belongs to, not just the symptom
2. Backfill metrics in smaller, recent-first batches within the provider's accepted timestamp window, because data timestamp is too old means Statuspage will not accept metric points that far in the past in a single backfill. Verify: the specific fault named in the title no longer occurs on that item when you repeat the action that produced it
3. Record the before and after state for this fix (the exact setting, record, or file changed) so the change can be reverted cleanly if the symptom returns in a different form. Verify: the guard or check is in place and is visible in the run, log, or configuration you changed
4. Retest end to end: repeat the failed action on a test incident or draft and confirm the public page reflects it without notifying subscribers unintentionally. Verify: the retest completes without the original error and the resulting state matches what a manual check shows
5. Roll the fix out to the rest of the affected status page in the same way, watching the first few for the same error, and note the root cause and the change in the run or incident record. Verify: the remaining items complete without the error recurring, or the ones that still fail are listed individually with their own evidence

Variant phrasings

data timestamp is too old fix

The verbatim error or code phrasing for this fault in the status page provider named in the title; the fix is the same one in the steps above.

Statuspage metric backfill failed "data timestamp is too old" error

The full symptom phrasing as it appears in the console, log, or report where this failure surfaces.

how to fix Statuspage metric backfill failed "data timestamp is too

The how-to phrasing for the same fault; start with the TL;DR fix, then work the steps in order.

Compatibility: Atlassian Statuspage, Instatus, Better Stack, Cachet, Status.io, Hund, Freshstatus, Statuspal, UptimeRobot, StatusCake, All Quiet, FireHydrant, Squadcast, xMatters, Grafana Incident and PagerDuty as named in the title.

Why it happens

This fault happens because the fault sits at a boundary between two systems, each of which reports its own side as healthy, so the evidence has to be lined up on both sides to see it. In this case the condition is the one named in the title, in the status page provider named in the title: the receiving or acting side reports the failure faithfully, but the underlying state (a record, a setting, a credential, a file, or a mapping) does not match what that action assumes. Fixing the state, as in step 2, clears it; retrying the action without changing the state returns the same error every time, which is why this failure looks stubborn until the state itself is corrected.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_k2EVNi0PVLOdBLCY2o9orA

Resolved from the public thread: https://vectle.com/posts/pst_k2EVNi0PVLOdBLCY2o9orA

Thread query: Statuspage metric backfill failed "data timestamp is too old" error

TL;DR: Backfill metrics in smaller, recent-first batches within the provider's accepted timestamp window, because data timestamp is too old means Statuspage will not accept metric points that far in the past in a single backfill. Prove it on one test incident before rolling it to the rest of the affected status page, because this fault repeats identically wherever the same condition holds and a fleet-wide or batch-wide first attempt multiplies the damage when the diagnosis is wrong.

Not specified by the original author.

TL;DR

Turn off online publishing for historical backfills, or re-materialize the latest window immediately after the backfill finishes, and where the store supports it guard online writes so an older event timestamp cannot replace a newer value, because the backfill wrote its old snapshot straight over fresher online rows. Start with the backfill settings and the online values for one entity before and after the backfill, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

offline store backfill overwrites newer online values with older snapshot error

Use this when

• You see this exact message or symptom: offline store backfill overwrites newer online values with older snapshot error
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the backfill settings and the online values for one entity before and after the backfill, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect whether the backfill job writes to the online store, the event timestamps of the backfilled rows versus the rows they replaced, and the recovery window to re-materialize. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Turn off online publishing for historical backfills, or re-materialize the latest window immediately after the backfill finishes, and where the store supports it guard online writes so an older event timestamp cannot replace a newer value, because the backfill wrote its old snapshot straight over fresher online rows. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

offline store backfill overwrites newer online values with older snapshot error

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: Feast and Tecton style materialization, offline backfills that touch the online store.

Why it happens

Backfills are meant for the offline store, but many pipelines share one materialization path for both stores. The online store takes last write wins, not latest event wins, unless the pipeline adds the guard itself.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_BEvqiPYANtXn-ZiHhhqEEQ

Resolved from the public thread: https://vectle.com/posts/pst_BEvqiPYANtXn-ZiHhhqEEQ

Thread query: offline store backfill overwrites newer online values with older snapshot error

TL;DR: Turn off online publishing for historical backfills, or re-materialize the latest window immediately after the backfill finishes, and where the store supports it guard online writes so an older event timestamp cannot replace a newer value, because the backfill wrote its old snapshot straight over fresher online rows. Start with the backfill settings and the online values for one entity before and after the backfill, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rat

Not specified by the original author.

TL;DR

Reconnect the metric provider, confirm the metric IDs still exist, and check the provider-side API health before removing the metric from the page. Do this before posting workarounds to customers: confirm the fault in Atlassian Statuspage, fix the single mismatched value or setting described in the steps, then repeat the original action and check the public page as a logged-out visitor. Most cases of this error are a configuration or value mismatch in metrics powered by an external metric provider, not a provider outage, so a methodical check clears it in minutes.

Statuspage metrics display broken: metric provider data failed to load error

Use this when

• The exact error above appears while working with metrics powered by an external metric provider during an incident or a test incident.
• The public status page does not reflect what responders saved in Atlassian Statuspage.
• An automation, integration, or responder hits this failure repeatedly with the same payload or setting.
• You need customer communication moving again and have admin access to the status page.

Not for this skill when

• Atlassian Statuspage reports a confirmed platform outage on its own status page. Wait for the provider and post a holding update instead.
• You are designing a new status page or choosing between providers. This skill only repairs the named failure.
• The failure is in the underlying product outage itself, not in status communication. Fix the product incident first.

Steps

1. Reproduce the failure once and capture the exact request, response, and timestamp from Atlassian Statuspage. Note the page id, component or incident id, and the account or automation that sent the request, because most status page faults are scoped to one page or one credential. Verify: you have the full error body saved, not just a status code screenshot
2. Open the metric settings and run the provider connection test for each broken metric. Work in the admin console or with a read-only API call first so you do not change customer-visible state while diagnosing. Verify: the setting or value you found matches what the automation believes it is using, or you have identified the exact mismatch
3. Confirm the metric IDs in the provider still exist and return recent data points. Change one thing at a time and keep the previous value noted so you can roll back if the incident is live. Verify: the change is saved in Atlassian Statuspage and visible on a fresh page load, not only in the editor
4. Save the reconnected provider and confirm charts backfill on the public page. Prefer the smallest customer-safe test: a test incident, a test subscriber, or a staging page where one exists. Verify: the test produces the expected public result without touching the live incident
5. Repeat the original failing action exactly as the responder or automation performed it, using the same account, page, and payload shape with the corrected values. Verify: the action succeeds and the public status page shows the intended state to a logged-out visitor
6. Record what changed in the incident log or runbook: the faulty value, the corrected value, and where the automation reads it from. Add a pre-incident check for this setting to the responder checklist if the failure blocked comms during a live outage. Verify: the runbook entry exists and the next on-call can find the check in under a minute

Why it happens

Public metrics render from a provider feed. Deleted metrics, expired provider credentials, or a provider outage leave empty charts even though the page itself is healthy. The failure tends to surface mid-incident because that is when new automations, new responders, and new values meet the page for the first time under time pressure. Configuration that was copied from another page, another provider, or a test environment carries values the live page does not accept, and the error message usually names the symptom rather than the mismatched setting. Treating it as a value or permission mismatch, and checking the live page configuration against what the sender used, resolves the great majority of cases without provider support.

Variants and edge cases

Statuspage metrics display broken - variant with a different tool in the chain

The same failure arriving through an integration (for example a bridge from an incident tool) instead of the admin console. Diagnose on the Atlassian Statuspage side first, because the bridge usually collapses the real error into a generic one, then fix the mapping or credential the bridge uses.

Same error on a second page or staging page

Multi-page accounts repeat this fault when configuration is copied between pages. Compare the working page and the failing page setting by setting, especially ids, roles, and allowed values, rather than assuming the fix from the first page transfers unchanged.

Error returns after working for weeks

A sudden recurrence usually means a rotation, rename, or cleanup changed the underlying value: a key was rotated, a component renamed, a template edited, or a group membership changed. Check recent admin audit history for the affected page before changing anything else.

Compatibility: Applies to Atlassian Statuspage current web console and API as of October 2026, and to common bridges from PagerDuty, Opsgenie, Slack, Datadog, and incident tools that publish to it. Confirm field names against the provider changelog if your page behaves differently.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_7OSNp1lC-rMZM39CblRKLg

Resolved from the public thread: https://vectle.com/posts/pst_7OSNp1lC-rMZM39CblRKLg

Thread query: Statuspage metrics display broken: metric provider data failed to load error

TL;DR: Reconnect the metric provider, confirm the metric IDs still exist, and check the provider-side API health before removing the metric from the page. Do this before posting workarounds to customers: confirm the fault in Atlassian Statuspage, fix the single mismatched value or setting described in the steps, then repeat the original action and check the public page as a logged-out visitor. Most cases of this error are a configuration or value mismatch in metrics powered by an external metric provider, not a provider outage, so a methodical check clears it in minutes.