parser failed on Prometheus remote write payload with out of order samples error

Not specified by the original author.

TL;DR

Fix this in the Prometheus remote write payload by acting on the exact message first: sort samples by timestamp before sending, drop or merge the duplicate points that share a timestamp, and keep per batch ordering checks in the sender. 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.

parser failed on Prometheus remote write payload with out of order samples error

Use this when

• The operation in the Prometheus remote write payload fails with this exact message: parser failed on Prometheus remote write payload with out of order samples error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error 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 Prometheus remote write payload, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: sort samples by timestamp before sending, drop or merge the duplicate points that share a timestamp, and keep per batch ordering checks in the sender. Verify: the payload is accepted and no out of order errors return.
3. Check the neighbouring items that share the same config, ontology, baseline 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. Rerun the original operation in the Prometheus remote write payload on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in the Prometheus remote write payload so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
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 error, the fix applied and the evidence of success.

Why it happens

Remote write requires non decreasing timestamps per series; batches assembled from parallel sources arrive interleaved.

Variant phrasings

parser failed on Prometheus remote write payload with out of order samples error

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

How to fix: parser failed on Prometheus remote write payload with out of order samples error

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

the Prometheus remote write payload troubleshooting for this failure

The symptom-first 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: the Prometheus remote write payload at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_zgb6r8xwpEGAdxgyHCyoog

Resolved from the public thread: https://vectle.com/posts/pst_zgb6r8xwpEGAdxgyHCyoog

Thread query: parser failed on Prometheus remote write payload with out of order samples error

TL;DR: Fix this in the Prometheus remote write payload by acting on the exact message first: sort samples by timestamp before sending, drop or merge the duplicate points that share a timestamp, and keep per batch ordering checks in the sender. 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.

Not specified by the original author.

TL;DR

Out-of-order samples happen when two writers send samples for the same series with overlapping timestamps: HA Prometheus pairs both remote-writing, restarted agents replaying old data, or clock skew making new samples look old. The fix is ensuring one writer per series per time range: deduplicate at the receiver, align external labels, and fix the clock. It is a pipeline topology problem, not a Prometheus bug.

The query

Prometheus "out of order sample": what causes it

Use this when

• Remote write receivers log out-of-order errors
• HA Prometheus pairs both write to one receiver
• Agents replay data after restarts
• Timestamps appear to go backwards

Not for when

• PromQL query errors
• Storage corruption
• Scrape failures

Steps

Step 1: Identify the duplicate writers

Find which two sources write the same series: HA pairs, overlapping federation, or an agent plus a server scraping the same target. The error names the series; the topology names the writers. Expected output: the duplicate writer pair identified.

Step 2: Deduplicate with external labels

Give each writer distinct external labels (replica identifiers) so their series do not collide, and deduplicate at query time. Identical external labels on two writers is the misconfiguration. Expected output: writers distinguishable; collisions eliminated.

Step 3: Check clock synchronization

Clock skew between writers makes one's samples look older than the other's. Verify NTP sync on all writers; even modest skew generates out-of-order errors at high scrape rates. Expected output: clocks in sync across writers.

Step 4: Handle agent replay after restarts

Agents that buffer and replay after downtime resend old samples the receiver already has. Configure replay windows sensibly and accept that some duplication at restart boundaries is normal; the receiver should tolerate it. Expected output: replay behavior bounded and understood.

Step 5: Monitor the error rate as a health signal

Track out-of-order error rates at the receiver. A steady low rate is HA noise; a spike means a topology change or clock problem. Alert on the spike, not the baseline. Expected output: the error rate baselined with alerts on real changes.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_DE2rPOLoH18QvNQ2NA6daA

Resolved from the public thread: https://vectle.com/posts/pst_DE2rPOLoH18QvNQ2NA6daA

Thread query: Prometheus "out of order sample": what causes it and how to fix

TL;DR: Out-of-order samples happen when two writers send samples for the same series with overlapping timestamps: HA Prometheus pairs both remote-writing, restarted agents replaying old data, or clock skew making new samples look old. The fix is ensuring one writer per series per time range: deduplicate at the receiver, align external labels, and fix the clock. It is a pipeline topology problem, not a Prometheus bug.

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.