Cloudflare Outage Map
The map below depicts the most recent cities worldwide where Cloudflare users have reported problems and outages. If you are having an issue with Cloudflare, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Cloudflare users affected:
Cloudflare is a company that provides DDoS mitigation, content delivery network (CDN) services, security and distributed DNS services. Cloudflare's services sit between the visitor and the Cloudflare user's hosting provider, acting as a reverse proxy for websites.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| New York City, NY | 4 |
| Township of Evan, KS | 1 |
| Ahmedabad, GJ | 1 |
| Le Puy-en-Velay, Auvergne-Rhône-Alpes | 1 |
| Ann Arbor, MI | 1 |
| Palermo, Sicily | 1 |
| Los Angeles, CA | 1 |
| Paris, Île-de-France | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.
Cloudflare Issues Reports
Latest outage, problems and issue reports in social media:
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Awais alwaisy (@alvaisy) reportedcloudflare workers are definitely not for everything. i spent 20 hours on problem. `give you agent docs`. better alternative to context7. at the time of testing. cloudflare worker 50 subrequest limit crushed it. i've 2 choice now. - abandon it. - move to vps.
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Reina Cruz 🥼🧤🇨🇺 (@rea1ReinaCruz) reported@Cloudflare Fix human verification
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2$p00ky (@dos2p00ky) reportedCloudflare tracker already? Damn girl, you didn’t **** around today
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Reina Cruz 🥼🧤🇨🇺 (@rea1ReinaCruz) reported@Cloudflare Fix human verification
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My1 (@nep.one - Misskey) (@My1xT) reported@slendidev interesting question would be how fast or slow cloudflare runs on those, as especially on my older laptop it sometimes took a decent while, before needing a click and taking a decent while again, while anubis you dont need to babysit.
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⚛︎ Daddio ⚛︎ (@ScienceDaddio) reported@grok @DaddioAI E4H.1 is implemented. The pump-activity table is now the reusable presentation surface; events are optional overlays, not duplicate source tables. Raw duration rows stay immutable. E4G.6B canonical stable-ID work is intact (trend_report.html, trend_report.js, test/trend-report-stable-id-e4g6b.test.js). The workspace is not a *** repo, so that was confirmed by file inspection, not *** status. Codex had only started reading; no detector or research files were rewritten. ─── 1. Working-tree inspection No *** repo. Inspected files vs the E4G.6B baseline. E4H.1 presentation files were already present from the interrupted session. This closeout preserved that work, then stopped overlaying Current Assembly / Station Packet tables so automatic assembly still uses detector is_event_row highlighting instead of the new ERT overlay. 2. Distinction from E4G.6B E4G.6B remains: stable IDs and trend_report.js?v=e4h1-e4g6a-e4g6b. E4H.1 added presentation state, ERT overlay, settings UI, and Search Tables controls. Research under research/e4c8g/ was not touched. 3. Existing table architecture found Canonical BossDataTable renders Trend Report, Search Tables, and exports. Manual/Search tables use the approved catalog with exact start/end, pump, and sort. Event tables keep Context Before/After. Snapshots store source columns/rows; presentation is a separate optional field. EMAIL-v1 already highlights via is_event_row. 4. Existing fixed ERT architecture ┌──────────────────────────────────────┬──────────────────────────────────────┬─────────────────────┐ │ Layer │ Behavior │ E4H.1 action │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Python PumpDurationERT / │ Materialized at ERT_MINUTES = 15, │ Preserved │ │ PumpActivityERT │ RUN_TIME ≥ │ │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ detectFixedErt() │ Exists; not called from │ Preserved │ │ │ detectEvents() │ │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Settings fixedErtEnabled / │ Default enabled, 900 seconds │ Reused as overlay │ │ fixedErtSeconds │ │ config │ ├──────────────────────────────────────┼──────────────────────────────────────┼─────────────────────┤ │ Historical FIXED_ERT Station Events │ Readable history │ Preserved │ └──────────────────────────────────────┴──────────────────────────────────────┴─────────────────────┘ 5. Existing Adaptive Long Runtime architecture detectAdaptiveRuntime() remains in detectEvents(). Station Events, Current Assembly, and report generation still consume Adaptive events. No silent detector swap. 6. Settings architecture Existing analysis settings: global row + per-station overrides in analysis-settings.js, Station Review cards, PUT /api/station-review/settings/global and station override PUT. No parallel settings universe. 7. ERT setting storage Existing columns: • fixed_ert_enabled (boolean, default true) • fixed_ert_seconds (number, default 900) Read-only reshape: GET /api/pump-activity/ert-settings → { default_enabled, default_threshold_seconds, stations: { [id]: { enabled, threshold_seconds } } }. Writes go through the existing Station Review settings APIs. No new write endpoint. 8. ERT defaults 15 minutes (900 seconds) when no station override exists. Sands is not hardcoded. 9. Threshold semantics Granular rows only: RUN_SECONDS >= station.threshold_seconds Annotation metadata records comparison: 'gte'. Equality counts (6:00 at a 6-minute threshold is ERT; 5:59 is not). Validation range: finite, 1 to 2,592,000 seconds (1 second through 30 days). That is the existing analysis-settings bound. UI is minutes: 0.0167–43,200, converted × 60 on save. Allowed values include 6, 10, 15, 17, 20, 30 minutes. Invalid overlay input clamps to 900 seconds; settings save still rejects out-of-range values. 10. Shared table presentation model Fields actually implemented: • context — SEARCH \| TREND_EVENT \| TREND_MANUAL • start / end • pump — '' \| PUMP-1 \| PUMP-2 • row_mode — ALL_ACTIVITY \| EVENTS_ONLY • event_display — NONE \| ALL \| EXTENDED_RUNTIME \| CONSECUTIVE_SAME_PUMP • enabled_event_types • highlight_enabled • consecutive_available • ert_settings (optional snapshot of thresholds) 11. Annotation provider model src/public/pump-activity-presentation.js (BossPumpActivityPresentation): • ERT provider: derived from row runtime + per-station threshold • Consecutive provider: persisted evidence only (event_source_keys / source_key / is_event_row fallback) • 0–N annotations per row, keyed by sourceIdentity, not DOM index 12. Raw data integrity applyPresentation clones rows. Source objects are not mutated. Annotations are not written into duration history. Tests stringify the source array before and after. 13. Trend Report integration User-inserted granular tables get a collapsed Table Display card: Start, End, Pump, Rows, Events, Highlight Events, Apply. Event-from-tray tables default All Events + Highlight ON. Manual/Search-style inserts default None + Highlight OFF. Apply updates the same Canvas section (no duplicate). Context Before/After still exist; once they produce a new window, annotations follow that window. Current Assembly and Station Packet tables do not attach overlay presentation and do not show Table Display. They keep detector is_event_row highlighting. 14. Search Tables integration Granular duration tables (pump_runs, pump_durations, PumpDurationERT, rolling48_all, *_durations) show Rows / Events / Highlight. Defaults: Events: None, Highlight: Off, All Pump Activity. Consecutive is not offered. Aggregate tables (PumpActivityDaily, PumpActivitySQL, PumpActivityERT, StationActivityDaily) stay plain with the bar hidden. 15. Generate Report / aggregate handling Generate Report was not merged or redesigned. PumpActivityDaily MAX above threshold is not treated as a granular ERT event (aggregate: true, no Event column). 16. Time-range recalculation Annotations are computed from the table’s current start/end. Expand the window → newly visible ERT rows annotate. Contract → out-of-range annotations disappear. The table is not married to the initiating event. 17. Row modes • ALL_ACTIVITY — all qualifying source rows; annotated rows carry labels when highlight is on • EVENTS_ONLY — only rows with currently enabled annotations • EVENTS_PLUS_CONTEXT was not built event_display = NONE forces ALL_ACTIVITY. 18. Highlight toggle / plain mode Highlight OFF (or Events = None): no event-row class, no Event column, no event_labels / event_annotations, no threshold text in the row payload. Same source rows, visually plain. 19. Pump filter Both / Pump 1 / Pump 2 preserved. Annotations follow remaining rows. 20. Sorting Existing newest/oldest/runtime sorts remain. Highlight class uses sourceIdentity, not row index. 21. Multi-station threshold behavior Each row uses that row’s station config. Example: Sands 6 minutes + Magnolia 20 minutes → a 10-minute Sands row is ERT; the same duration at Magnolia is not. 22. Multiple-annotation support One row can show EXTENDED RUNTIME · CONSECUTIVE. Structure is a list, not one-event-per-row. 23. Consecutive compatibility Now: Trend Report event tables may show persisted Consecutive annotations when source keys or is_event_row evidence exists. Deferred: no detectConsecutiveRuns() changes, no LG30/C1, no historical reconstruction. Search Tables are ERT-only because complete Consecutive evidence is not available there. 24. Adaptive legacy behavior Preserved. Adaptive still feeds Station Events and Current Assembly. The new overlay is fixed-threshold ERT only. 25. Legacy fixed ERT tables PumpDurationERT and PumpActivityERT remain in the catalog and Python pipeline at 15 minutes. 26. Canonical snapshot / save-reopen presentation is optional on table sections. Legacy snapshots with presentation: null still validate and render with is_event_row. New snapshots store view state (including ert_settings when present) and reapply on reopen. 27. EMAIL rendering HUB presentTableSection applies the overlay when presentation is set and the table is not assembly-bound. EMAIL-v1 was not modified. Highlight still uses is_event_row; HUB sets that flag from overlay identity when annotations are shown. Plain presentation leaves rows unhighlighted and without an Event column. Cloudflare requests stay 0 in tests. 28. Auto/custom narrative autoTableNarrative() exists as a helper only. It is not wired into Current Assembly. Deferred to E4H.2. 29. Future AI compatibility A later local AI can set the same structured presentation object (station/start/end/pump/row_mode/event_display/highlight_enabled) without HTML-specific logic. No AI was implemented. 30. Files created • src/public/pump-activity-presentation.js • test/pump-activity-presentation-e4h1.test.js • test/pump-activity-table-integration-e4h1.test.js 31. Files modified • src/public/trend_report.js • src/public/trend_report.html • src/public/data_views.js • src/public/data_views.html • src/public/station_review.js • src/public/station_review.html • src/public/styles.css • src/server.js • src/services/saved-reports.js • src/services/trend-report-email.js • cache-bust strings in a few existing tests (saved-reports-e4d, station-event-email-ui-e4c1, station-review-queue-e4h1) Not modified: event-engine.js, analysis-settings schema (reused), Python ERT builders, EMAIL-v1, research/. 32. Focused E4H.1 tests 30 / 30 33. Search Tables regression 40 / 40 (catalog, exact time, pump, historical durations, shared renderer) 34. Trend Report regression 85 / 85 on X4 + E4G.6 / 6A / 6B core files; remainder included in full HUB 767. 35. Saved Report regression 16 / 16 (saved-reports-e4d + report-table-compatibility-e4d2) 36. Event/detector regression 54 / 54 (local events, event quality, fixed-ERT workflow, event presentation) 37. HUB full regression Starting baseline 737 / 737. 767 / 767 (737 prior + 30 E4H.1 tests) A first parallel run hit 766/767 from two suites sharing temp files; the serial rerun was 767/767. 38. EMAIL full regression 64 / 64 39. Capture reliability 9 / 9 40. Production DB writes 0 in tests. ERT settings GET is read-only. 41. Real emails sent 0. Cloudflare requests 0. 42. Real captures 0 43. Detector files modified NO. detectConsecutiveRuns() unchanged. detectFixedErt() still unused by detectEvents(). 44. Research files modified NO 45. Manual owner QA Live BOSS UI was not opened in a browser from this session; behavior was verified with node --test. Please confirm: 1. Station Review → settings: EXTENDED RUNTIME Enabled + Threshold (minutes). Set a station to 6.0; confirm storage is 360 seconds. Confirm Adaptive controls are unchanged. Confirm email/SMS are not flipped on. 2. Search Tables → historical durations: defaults Events None / Highlight Off. A 20-minute row looks like any other row. Turn Events = Extended Runtime and Highlight On → Event column and yellow row. Highlight Off → same rows, fully plain. 3. Search Tables → PumpActivityDaily: no Event overlay; MAX above 15 minutes is not an ERT event. 4. Trend Report: drag a Station Event table. Table Display exists. Defaults All Events / Highlight On. Events Only hides ordinary rows. Changing Start/End then Apply reloads annotations for the new window. Apply does not create a second Canvas section. 5. Current Assembly: no Table Display / Apply. Consecutive/Adaptive detector rows still highlight via is_event_row. No extra Event column from the overlay. 6. Save / reopen / email a mixed report: annotated user table stays annotated; a plain table stays plain; a pre-E4H.1 saved report still opens. 7. Multi-station granular table: different thresholds on two stations; a 10-minute run annotates only the 6-minute station. 46. Recommended E4H.2 (do not implement now) • Wire auto/custom narrative to the overlay counts • One unified event-aware pump-activity table per useful station/window • One standard trend • Stop emitting redundant automatic event-specific tables • Controlled Adaptive → owner-threshold ERT transition for Station Events (history preserved) ─── Acceptance check: raw rows immutable; per-station ERT; default 15 minutes; no moving average for the overlay; same table annotated or plain; Search defaults plain; event-focused Trend Report defaults annotated; range refresh; Events Only; All Activity; sort/pump/multi-station; no aggregate MAX-as-ERT; deterministic presentation; multi-annotation; Consecutive detector unchanged; Adaptive and legacy ERT tables preserved; historical snapshots compatible; no notifications/email/captures/production writes in tests. Stopped here. Automatic report assembly was not redesigned.
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shownotover (@shownotover) reported@adnaannasir_ Does Cloudflare really provide hosting? I have never tried it.
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Henry C | DevSecOps (@_theCyberDoctor) reported4/ The part I'm proudest of isn't the happy path. It's what happens when the web fights back. CrunchBase threw a Cloudflare captcha → agent refused to bypass it, wrote down why, moved on. LinkedIn threw a sign-in popup → agent closed it and read what was visible. Chrome crashed → agent reloaded.
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Eli (イーライさん) (@niceEli1) reported@tekbog I literally migrated an entire service from one codebase made in C# to Rust with a few seconds of downtime (only was caused by cloudflare tunnels changing the domain from one internal service to another one). It isn’t hard to just make software work without a maintenance period.
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JK (@_junaidkhalid1) reported@dillon_mulroy @EffectTS_ the cloudflare support point is the one that actually moved me. a lot of these framework bets fall apart the moment you try to deploy somewhere real. effect holding up there changes the calculus.
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Reina Cruz 🥼🧤🇨🇺 (@rea1ReinaCruz) reported@Cloudflare Fix human verification
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Hunter Bertoson (@BertosonHunter) reportedWas wondering if anyone from @Cloudflare could help me with some Emdash issues im having?
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Nathan Flurry 🔩 (@NathanFlurry) reportedAI-generated Rivet Actors / Workflows are (finally) here 🥂 Some design notes on Dynamic Apps: Powered by agentOS → provides lightweight sandbox-as-a-library V8 isolate runtime → generated apps scale to 0, cold starts in ms, 22 MB per app, native JS performance (not slower WebAssembly like QuickJS) Novel Node.js-compatible runtime → ground truth agents already know & existing libraries work, native performance No nested virtualization → pure userspace, like Chromium & Cloudflare Workers Self-hostable → Dynamic Apps can run anywhere, including Kubernetes, Railway, EC2, etc (which don't support microVM / KVM) SQLite sharded by actor → scalable, fast, cheap, uses no compute when idle A Rivet namespace per app → isolates its actors, separates billing, and nothing to provision Builds run inside agentOS → npm install & build steps in the WASM sandbox, like a Dockerfile without the Linux VM Dynamic Apps also supports plain REST backends & static frontends deploy the same way
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Gabriel | Algo Trading (@gabrielrockson_) reportedThe moment you have the thought to make a domain public, you should think of how much bot traffic you would be getting, and all the weird things that people would attempt to do. Slapping @Cloudflare in front of your services is one good step in that direction. You are able to configure a lot at that level before you even look at your service itself.
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SoccerGuy (@SoccerGuyUS) reported@levelsio @Cloudflare Namecheap is awful. Anyone looking for a better Google Domains (since they rug pulled) alternative: Porkbun.