Mode alert failed error data source connection failed during scheduled run

Not specified by the original author.

TL;DR

Fix this in Mode by acting on the exact message first: test the data source connection from the report settings, renew the connection using the saved connection details if the test fails, and rerun the schedule once manually. 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.

data source connection failed during scheduled run

Use this when

• The operation in Mode fails with this exact message: data source connection failed during scheduled run.
• 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 Mode, 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: test the data source connection from the report settings, renew the connection using the saved connection details if the test fails, and rerun the schedule once manually. Verify: the manual run succeeds and the next scheduled run completes.
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 Mode 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 Mode 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

Scheduled runs use the stored connection; when the warehouse side changes, the stored connection fails only at run time, so the report looks fine in the editor.

Variant phrasings

data source connection failed during scheduled run

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: Mode alert failed error "data source connection failed during scheduled run"

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

Mode 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: Mode 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_6bV-BpCfBR7MnJvq9e1agw

Resolved from the public thread: https://vectle.com/posts/pst_6bV-BpCfBR7MnJvq9e1agw

Thread query: Mode alert failed error "data source connection failed during scheduled run"

TL;DR: Fix this in Mode by acting on the exact message first: test the data source connection from the report settings, renew the connection using the saved connection details if the test fails, and rerun the schedule once manually. 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

Test the data source connection, fix the query time range and filters, and confirm the underlying incident data exists before changing the panel. Do this before posting workarounds to customers: confirm the fault in Grafana, 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 Grafana status panel data source, not a provider outage, so a methodical check clears it in minutes.

Grafana status panel not reflecting incident: data source query failed error

Use this when

• The exact error above appears while working with Grafana status panel data source during an incident or a test incident.
• The public status page does not reflect what responders saved in Grafana.
• 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

• Grafana 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 Grafana. 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. Run the same query in Explore and note any error the panel hides. 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. Test the data source and re-enter credentials if the test fails. 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 Grafana and visible on a fresh page load, not only in the editor
4. Widen the time range and remove filters temporarily to confirm incident rows return. 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

The panel only renders what its query returns. A failing data source, an expired credential, or a filter that excludes the current incident makes the panel look stale while incidents exist. 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

Grafana status panel not reflecting incident - 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 Grafana 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 Grafana 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_sAWYcVM93vzOTRYguTCtyg

Resolved from the public thread: https://vectle.com/posts/pst_sAWYcVM93vzOTRYguTCtyg

Thread query: Grafana status panel not reflecting incident: data source query failed error

TL;DR: Test the data source connection, fix the query time range and filters, and confirm the underlying incident data exists before changing the panel. Do this before posting workarounds to customers: confirm the fault in Grafana, 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 Grafana status panel data source, not a provider outage, so a methodical check clears it in minutes.

Not specified by the original author.

TL;DR

A refresh that fails at the same time daily is a scheduled-job problem: expired source credentials, a query that times out under morning load, or an upstream job that has not finished when the refresh starts. Open the refresh history, read the actual error for the 6am run, and compare with a manual refresh. Fix the scheduled path: renew the credential the job runs under, move the refresh after its upstream dependency, or trim the query, rather than refreshing manually forever.

reconciliation dashboard shows "data refresh failed" error every morning at 6am

Use this when

• The dashboard shows data refresh failed each morning, first seen at the 6am scheduled refresh.
• Manual refresh during the day may succeed, or fail differently.
• The dashboard depends on overnight jobs, bank feeds, or a warehouse load.

Not for this skill when

• The dashboard fails at all times for all users. That is a dashboard or source outage, not a schedule issue.
• The data is correct but stale because the source system stopped sending. Follow the feed investigation, not the dashboard job.

Steps

1. Open the dashboard refresh history and record the exact error and duration for the last three 6am runs. Verify: the scheduled failure mode is stated from logs, not the banner text
2. Run a manual refresh and compare outcome and duration with the scheduled runs. Verify: you know whether the failure is schedule-specific or universal
3. Check the refresh job's data source connection and the account it runs as for expiry or permission changes. Verify: the job's identity can still read every source the dashboard uses
4. Check the timing of upstream jobs the dashboard reads, and whether they finished before 6am on the failed days. Verify: the dependency chain timing is mapped
5. Apply the matching fix, reschedule after upstream completion, renew the job credential, or optimise the failing query, and watch the next 6am run. Verify: the scheduled refresh succeeds unattended

Variant phrasings

dashboard data refresh failed every morning scheduled

The morning-failure phrasing.

reconciliation dashboard refresh error 6am job

Searching by the scheduled symptom.

Compatibility: Dashboard refresh scheduling in Power BI, Tableau, Looker, and ERP-embedded rec dashboards fed by scheduled queries.

Why it happens

Scheduled refreshes run as a service identity, against whatever state upstream jobs have reached by that hour, under the platform's heaviest load window. Manual refreshes run as you, later, against settled data, so they pass while the schedule fails, which misleads diagnosis toward the dashboard itself. The consistent clock time is the fingerprint: real data problems do not keep office hours, but job chains and credential expiries do.

Edge cases / pitfalls

• Token and credential expiries for service accounts are the classic silent cause, often exactly a round number of days after setup.
• If the upstream warehouse load slipped later over months, a refresh that once had slack now races it. Compare upstream finish times over time.
• Alert on refresh failure to the team channel; a banner noticed at 9am means three hours of decisions on stale data.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstO2WbtV05t77ImL0ns2WjA

Resolved from the public thread: https://vectle.com/posts/pstO2WbtV05t77ImL0ns2WjA

Thread query: reconciliation dashboard shows "data refresh failed" error every morning at 6am

TL;DR: A refresh that fails at the same time daily is a scheduled-job problem: expired source credentials, a query that times out under morning load, or an upstream job that has not finished when the refresh starts. Open the refresh history, read the actual error for the 6am run, and compare with a manual refresh. Fix the scheduled path: renew the credential the job runs under, move the refresh after its upstream dependency, or trim the query, rather than refreshing manually forever.