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 |
|---|---|
| Le Puy-en-Velay, Auvergne-Rhône-Alpes | 1 |
| Ann Arbor, MI | 1 |
| Palermo, Sicily | 1 |
| New York City, NY | 3 |
| 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.
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Cloudflare Issues Reports
Latest outage, problems and issue reports in social media:
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Andy Knowles (@andykn101) reported@SportingNest @Cloudflare It's absolutely a scam. If you don't know what those instructions do listen to those who. If you're not clicking on the ads in your search results you've probably already got malware poisoning your search results. Get help.
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Tim (@Trendy_Tim) reported@The_Baron_X150 @SportingNest @Cloudflare That was crowdstrike, cloudflare take down half the internet with some dodgy js or dns config.
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Brij Pandey (@LearnWithBrij) reported📂 SaaS Stack ┃ ┣ 📂 Frontend ┃ ┣ 📂 React ┃ ┣ 📂 NextJS ┃ ┣ 📂 Vue ┃ ┣ 📂 TailwindCSS ┃ ┗ 📂 Shadcn UI ┃ ┣ 📂 Backend ┃ ┣ 📂 NodeJS ┃ ┣ 📂 Django ┃ ┣ 📂 Laravel ┃ ┣ 📂 FastAPI ┃ ┗ 📂 Express ┃ ┣ 📂 Database ┃ ┣ 📂 PostgreSQL ┃ ┣ 📂 MySQL ┃ ┣ 📂 MongoDB ┃ ┣ 📂 Redis ┃ ┗ 📂 Supabase ┃ ┣ 📂 Auth ┃ ┣ 📂 Clerk ┃ ┣ 📂 Auth0 ┃ ┣ 📂 Firebase Auth ┃ ┣ 📂 Supabase Auth ┃ ┗ 📂 NextAuth ┃ ┣ 📂 Payments ┃ ┣ 📂 Stripe ┃ ┣ 📂 Paddle ┃ ┣ 📂 Dodo Payments ┃ ┣ 📂 Lemon Squeezy ┃ ┗ 📂 Polar ┃ ┣ 📂 Emails ┃ ┣ 📂 Resend ┃ ┣ 📂 SendGrid ┃ ┣ 📂 Mailgun ┃ ┣ 📂 Postmark ┃ ┗ 📂 Amazon SES ┃ ┣ 📂 Storage ┃ ┣ 📂 AWS ┃ ┣ 📂 Cloudflare ┃ ┣ 📂 Google Cloud Storage ┃ ┣ 📂 Supabase Storage ┃ ┗ 📂 Uploadcare ┃ ┣ 📂 Deployment ┃ ┣ 📂 Vercel ┃ ┣ 📂 Netlify ┃ ┣ 📂 Railway ┃ ┣ 📂 Render ┃ ┗ 📂 AWS ┃ ┣ 📂 Domains and DNS ┃ ┣ 📂 Namecheap ┃ ┣ 📂 Hostinger ┃ ┣ 📂 Cloudflare DNS ┃ ┣ 📂 Google Domains ┃ ┗ 📂 SiteGround ┃ ┣ 📂 Analytics ┃ ┣ 📂 Google Analytics ┃ ┣ 📂 Plausible ┃ ┣ 📂 PostHog ┃ ┣ 📂 Mixpanel ┃ ┗ 📂 DataFast ┃ ┣ 📂 Monitoring ┃ ┣ 📂 Sentry ┃ ┣ 📂 LogRocket ┃ ┣ 📂 Datadog ┃ ┣ 📂 NewRelic ┃ ┗ 📂 UptimeRobot ┃ ┣ 📂 DevOps ┃ ┣ 📂 Docker ┃ ┣ 📂 Kubernetes ┃ ┣ 📂 GitHub Actions ┃ ┣ 📂 CI CD ┃ ┗ 📂 Terraform ┃ ┣ 📂 Search ┃ ┣ 📂 Algolia ┃ ┣ 📂 Meilisearch ┃ ┣ 📂 Elasticsearch ┃ ┣ 📂 Typesense ┃ ┗ 📂 OpenSearch ┃ ┣ 📂 AI Integration ┃ ┣ 📂 OpenAI API ┃ ┣ 📂 Anthropic API ┃ ┣ 📂 Replicate ┃ ┣ 📂 HuggingFace ┃ ┗ 📂 Gemini API ┃ ┣ 📂 Integrations ┃ ┣ 📂 Zapier ┃ ┣ 📂 Make ┃ ┣ 📂 n8n ┃ ┣ 📂 Pabbly ┃ ┗ 📂 Webhooks ┃ ┣ 📂 Security ┃ ┣ 📂 SSL ┃ ┣ 📂 Cloudflare ┃ ┣ 📂 WAF ┃ ┣ 📂 Rate Limiting ┃ ┗ 📂 Secrets Management ┃ ┣ 📂 Marketing ┃ ┣ 📂 Search Console ┃ ┣ 📂 Outrank ┃ ┣ 📂 Buffer ┃ ┣ 📂 Analytics ┃ ┗ 📂 Kit ┃ ┗ 📂 Customer Support ┣ 📂 Intercom ┣ 📂 Crisp ┣ 📂 Zendesk ┣ 📂 Tawk ┗ 📂 HelpScout
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Irfan (@learnatick) reported@acolombiadev @Cloudflare @expo EAS service 🐐 tier for React Native developers.
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Nuvorlane (@nuvorlane) reportedCloudflare AI Gateway monthly usage invoices no longer break out input and output tokens. Previously you got two lines, e.g. 40k input at $0.000001 ($0.04) and 24k output at $0.000005 ($0.12). Now one line: anthropic/claude-haiku-4.5 — $0.16. Model names on invoices and logs also normalize to provider/model, so dated suffixes disappear from the identifier. Credit-purchase invoices are unchanged. If a FinOps parser keys on token line items or version suffixes, fix it before the next month-start invoice lands.
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Gaylord (@laolu_afolabi) reported@lanreadelowo From Claude: """ Technically, yes — it's buildable, and "platform-agnostic" is realistic because most providers and gateways (OpenRouter, LiteLLM, Portkey, etc.) have already converged on an OpenAI-compatible schema, so a routing layer that swaps providers behind one endpoint isn't a huge engineering lift. But there are a few things in the premise worth stress-testing before you build. **The "discount arbitrage" framing is a bit shakier than it sounds.** Most of these gateways aren't reselling models at a discount — they're reselling at close to list price plus a fee. While OpenRouter states it doesn't mark up inference pricing, its credit purchase fee effectively acts as a surcharge on all usage. LiteLLM's pitch is the opposite direction — zero markup by self-hosting, with OpenRouter's ~5% fee costing meaningfully more at scale. So the "discounts" you'd be arbitraging are less "provider A is cheaper than provider B for the same model" and more: rate-limited free tiers, short-lived promos, or BYOK arrangements — OpenRouter's BYOK is free up to a monthly allowance before a 5% fee kicks in. Those are real, but they're capacity-constrained and often disappear once volume shows up — hard to build a durable business on chasing them. **The bigger product risk: tokens/models aren't fungible.** Swapping Gemini for Claude for GPT under one endpoint isn't like arbitraging cloud spot instances — different tokenizers (so "$/token" isn't apples-to-apples), different tool-calling formats, different output style and capability. If your router silently reroutes a customer's traffic to whatever's cheapest this hour, you can quietly degrade the app built on top of it. That's the actual hard problem, not the proxying. **What's actually working in production right now is narrower than blind price-routing:** AT&T processes tens of billions of tokens a day using cache-aware routers that send simpler tasks to cheaper models, cutting costs up to 56% with only ~2% quality degradation, and this "model cascade" pattern — cheap/fast models handle the default case, only escalating to a frontier model when a confidence check fails — is used by both AT&T's LiteLLM-based router and Databricks' Smart Router. That's routing by task-fit with cost as a constraint, not routing purely by whoever's running a promo this week. **Competitive landscape is already crowded**: OpenRouter, LiteLLM, Portkey, Requesty, Helicone, Not Diamond, Martian, TrueFoundry, Cloudflare AI Gateway, Ofox all do some flavor of unified-endpoint routing today, several with automatic fallback/cost-based rules already built in. Pure discount-hunting is a thin moat — anyone can scrape pricing pages, and providers may treat aggressive arbitrage-only usage as a ToS problem. Where I'd actually look for a wedge if I were you: quality-aware routing with an audit trail (so teams can trust that "cheaper" didn't mean "worse" for their specific task), rather than price-only arbitrage. """
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Andrea (@acolombiadev) reportedName one underrated/generous free tier service. I’ll start: @Cloudflare
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Tang Vu (@tangvu_dev) reportedI compared Cloudflare Workers and Vercel Edge Functions, two production platforms built on V8 isolates, using a latency-sensitive crypto analytics service. The workload fetched prices and computed OHLC + VWAP over 24 kline periods.
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Veda Valor (@vedavalor) reportedThe hard part nobody talks about: getting playable audio clips. Spotify killed preview_url for new apps in Nov 2024. YouTube's embed rules ban hiding the player (why Heardle clones got taken down). iTunes blocks Cloudflare IPs. Deezer works but its search API is geo-flaky.
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Reina Cruz 🥼🧤🇨🇺 (@rea1ReinaCruz) reported@Cloudflare Fix human verification
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Zoë (@zoecyber001) reportedRAPID FIRE CYBER NEWS - WEEKEND EDITION The weekend wasn't quiet. 1. Manchester Airports Group is facing an alleged data theft. Extortion group FulcrumSec claims it stole around 86 GB of data containing customer, booking and travel information. 2. Berlin's government is refusing to pay ransomware attackers who claim to have stolen 5.79 TB of data from its network. The city confirmed the extortion attempt but says it won't pay. 3. Several Chrome and Edge extensions were caught delivering malware that can steal crypto-related information, browser history and sensitive data. Some were also used to inject fake ClickFix prompts. 4. Infostealer malware is now stealing active Claude sessions. Anthropic warned that attackers can potentially take over Claude accounts using stolen session information without simply needing the user's password. 5. Microsoft uncovered TerminalFix, a new ClickFix campaign using fake Cloudflare CAPTCHA pages to trick people into running malicious commands that install a reverse-tunnel backdoor. Cybersecurity keeps finding new ways to abuse things we already trust.
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Karsten Lehmann (@Klehmann79) reportedHey @Cloudflare I accidentally ordered a pro account (1 year) for the wrong domain and all I get in your support portal are standard docs. How can I submit a case? There‘s no way to get to a form, even as paying customer.
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Przemysław Zalewski (@Ciunkos) reported@efalcao @proofpoint @Cloudflare Most likely by the fact Cloudflare is kinda bad at handling abuse reports - try filling their form and see for yourself. Any service that could be used for spam delivery, will eventually be used for that. And Cloudflare now tastes what other providers experience day to day.
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Dr. Owlo R.D. (@Drowlord101) reported@NOTfunnyparanR Lols. Claude never crashes out on me. I (perhaps anthropomorphize claude a bit and) get the impression it's frustrated with me sometimes, or frustrated with a task, or frustrated with constraints (like cloudflare, hosting provider, storage solution, data) and fights back a bit on changing the constraints. But it's always as respectful as a professional, and I try to be positive or professional with it, because I know there's no malign intention in the AI. I'm better with AI than people, because I know people will lie, intentionally subvert tasks, and then try and blame me for choices they made.
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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.