Cloudflare status: hosting issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Cloudflare reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Cloudflare users through our website.

• Cloud Services (39%)
• Domains (22%)
• Web Tools (22%)
• Hosting (11%)
• E-mail (6%)

Live Outage Map

The most recent Cloudflare outage reports came from the following cities:

City	Problem Type	Report Time
New York City	Cloud Services	11 days ago
Los Angeles	Cloud Services	12 days ago
Paris	Cloud Services	28 days ago
New York City	Hosting	1 month ago
Manchester	Domains	2 months ago
Angers	Cloud Services	2 months ago

Full Outage Map

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:

• 
  Antonio Gomes (@onchainantonio) reported 4 minutes ago

  Been thinking about why cryptographic migrations always take so long 🤔 It's never the maths. SHA-1 was visibly weakening in 2005. Browsers didn't finish rejecting it until 2017. Twelve years, and we had SHA-256 the entire time. TLS 1.0 was superseded in 2006 and people were still switching it off in 2020. Every one of those delays came down to the same thing. Someone's payment terminal. Someone's embedded device. A vendor that went out of business years ago. A box nobody could turn off without breaking something else. The cryptography was ready. The world wasn't. Which is why that line is worth staring at for a minute. A year ago, under 40% of encrypted traffic used post-quantum key exchange. Today it's over 70%. That's the fastest cryptographic transition the internet has ever run, and it happened without a single person being asked to switch. The trick is that nothing was replaced. Classical and post-quantum key exchange run side by side in the same handshake. Old clients keep working exactly as before. Newer ones negotiate the stronger path automatically. Support arrives, the line moves, nobody files a ticket. No flag day. No deadline. No morning where the internet broke. That's what a migration looks like when it's designed around compatibility instead of coordination. Everyone planning for post-quantum should be studying that curve far harder than they're studying the algorithms. The algorithms are finished. Getting millions of systems to move without breaking any of them is the part nobody has pulled off twice in a row. @Cloudflare publish it live if you want to watch it move 👇

• 
  ‎ً (@tracklim) reported 6 minutes ago

  CLOUDflare… oracle CLOUD INFRASTRUCTURE… guys it’s literally in the names also remember the recent aws outages that brought down like half the internet? guess what aws is. A GLOBAL CLOUD INFRASTRUCTURE PLATFORM 😭😭😭😭

• 
  Dev Basu 🇨🇦/🇮🇳/🌎 (@devbasu) reported 7 minutes ago

  I am amazed. We were under a DDoS attack for the last 48 hours. Used @ChatGPT Codex to configure our hosting provider -> Cloudflare challenge -> talked to customer support back and forth to establish WAF rules. Codex had warmth + competence. All via computer use. Wow.

• 
  Officially Retired Owl Dope Capone (@Owl_Dope_Capone) reported 9 minutes ago

  @Cloudflare You are the cyber threat. Getting randomly blocked from sites non-stop for the last few weeks. Sometimes a refresh works, sometimes not. Sometimes comment sections load, sometimes not. Constant redirects to international sites. Your company sucks.

• 
  Zano.com | VE3.com | Bit1.com is for sale! (@workreap) reported 9 minutes ago

  @a_shimanski @Cloudflare Too many S3 hack on AWS. Ive been paying $200-300 a month for nothing.. lots of people having the same issue. Still no fixing. End up canceling my whole AWS account.

• 
  Dain Bramage Entertainment ❄️ (@EOTWoffgrid) reported 11 minutes ago

  Going to use @Cloudflare services for our website. should resolve the email issue and add new features/security... i hope.... all a learning process! I did save the original zone file for the site.... JUST in case... 🫣🙄😜

• 
  Kartik (@Kartik8010) reported 14 minutes ago

  @Cloudflare can we please fix the bug where we have persistent volumes for h containers 🫡

• 
  Jilles Soeters (@Jilles) reported 16 minutes ago

  @EmilioSchwaiger Not rude, totally fair. At the time of posting the message I saw it on my personal Cloudflare account (which happens to also be on the Cloudflare Paid plan) and just tweeted that excitingly. I should have done a little more due diligence. That's on me.

• 
  Lukasz (@woocassh) reported 20 minutes ago

  @tomhacks I know about cloudflare Tom Whatabout rule nr 2? Is this for managing your own email? I use their Private email and it's still ****** Have to email accountants and my email still not working 🤡

• 
  Warhead (@vz_warhead) reported 21 minutes ago

  @JaniBangiev damn, does it work the same for user's data in apps? should I also switch to cloudflare instead of supabase?

• 
  Praveen Yadav (@yadavships) reported 24 minutes ago

  @deancochran_ @thdxr There are many provider like docker, @cloudflare/sandbox who support local as well like - E2B - Daytona - Runloop - Sandpack - Modals - Vercel Sandbox - Cladflare sandbox - Upstash Box - Ascii Box - Railway - NorthFlank

• 
  Brendan ⚡️ (@BrendanHufford) reported 24 minutes ago

  Cloudflare just built an AEO visibility dashboard into their core product. Not a third-party tool. Not a Chrome extension from a startup that raised $4M and will pivot to something else in 8 months. Cloudflare. The company that sees 20% of all web traffic. AEO is moving from the marketing budget to the infrastructure budget. And once something moves into infrastructure, it never moves back. What's interesting to me here is that Cloudflare has the first-party data. They can see which AI crawlers are hitting your site, how often, what they're pulling. No guessing. I think this is the thing that makes AEO real to CFOs.

• 
  Mark (@peyoteheadlight) reported 25 minutes ago

  crazy how cloudflare warp fixes every isp based issue i have how did i only find out about this a few months ago

• 
  Jason Fleagle (@jjfleagle) reported 28 minutes ago

  @Cloudflare Does the workflow help teams close the loop after an alert? I would want issuer context, affected names, first-seen time, expected-owner check, revocation status, DNS and hosting clues, incident assignment, and proof of resolution. Better signal needs a clear response path.

• 
  trap broker (@trapbroka) reported 29 minutes ago

  🚨 THE MACHINE ECONOMY IS QUIETLY BEING BUILT. AI agents are getting something they never had before: IDENTITY + WALLETS. Cloudflare just announced infrastructure that allows AI agents to have a stable identity and make payments within defined limits. Official Cloudflare headline — “Cloudflare Gives AI Agents an Identity and a Wallet” But that’s only one piece. 🇨🇳 DeepSeek just invested $20.8M in Unitree, the Chinese humanoid robotics company. Unitree is being valued at around $9 BILLION. AI is being connected directly to physical machines. Reuters — DeepSeek invests $20.8M in Unitree And while that happens… 🏦 Wall Street is putting real assets on-chain. DTCC has already processed live production trades using tokenized assets, with its broader tokenization service planned for October 2026. DTCC — Tokenization Becomes a Reality Think about what this actually means. AI gets wallets. Robots get AI brains. Financial assets get tokenized. Machines can increasingly interact with digital services and, eventually, with each other economically. AI + CRYPTO + ROBOTICS = THE MACHINE ECONOMY. Everyone is looking at the next memecoin. Meanwhile, the infrastructure for machines to earn, spend and transact is being built in real time. Maybe the next billion users of crypto won’t be human. Maybe they’ll be machines. 🤖

• 
  Udit (@TherealUDP) reported 33 minutes ago

  I'm cryin dude saw a classmate flexing on story his kali linux with four terminals open using hping3 flood on a cloudflare hosted game server bragging he can down any game server/wifi he wants

• 
  Filip Kowalski (@filippkowalski) reported 34 minutes ago

  @petecodes cloudflare has now email service

• 
  perdrix (@perdrix_fl) reported 34 minutes ago

  @glenngabe Another HUGE item for AdSense publishers is that @Cloudflare blocks Google’s access to ads.txt by default… I learned that one the hard way and it would be such an easy fix for Cloudflare to make.

• 
  Umair Ali (@buildwithumair) reported 35 minutes ago

  Solo Startup Founders Pack - Codex = coding. ($20/mo) - Supabase/Convex = backend. (Free) - Vercel = deploying. (Free) - Polar = payments. (3.9%/transaction) - GitHub = version control. (Free) - Resend = emails. (Free) - Clerk = auth. (Free) - Cloudflare = DNS. (Free) - PostHog = analytics. (Free) - Sentry = error tracking. (Free) - Upstash = Redis. (Free) - ShipClaw[.]io= ai agents ($14/wk) Total monthly cost to run a startup: ~$50 There has never been a cheaper time to build .

• 
  Maxxie wei (@xmaxxie1119) reported 36 minutes ago

  Google's agent platform went GA with Agent Identity — agents now have credentials, memory, and a browser. Governance just moved from prompts to principals. This week Google took the Gemini Enterprise Agent Platform to general availability with Agent Identity: every agent gets unique, least-privilege credentials, and every operation is logged. The platform is built for long-running agents that keep state for days, backed by a memory bank, plus an Agent Registry — a single source of truth for every agent and tool — and an Agent Gateway for real-time policy enforcement. Agents are no longer stateless prompts. They are principals with credentials, memory, and tenure. The consumer side moved the same week: Gemini Spark now drives desktop Chrome with your logged-in accounts and saved passwords — booking apartment viewings, starting flight bookings — and hands back to a human for payments and sensitive actions, with prompt-injection protection built in. Cloudflare shipped Kitesurf, a browser designed for AI agents. Read the two launches as one statement: the industry is building identity and state for machines the way it built them for employees. The enterprise question is no longer "can the agent do the task?" It is "which agent identity may touch which resource — and what survives when a task spans three days?" That inverts today's default governance, which still treats agents as prompts with permissions bolted on. The platforms are moving to a world where the principal carries the policy: the agent logs in as itself, its credentials are scoped and revocable, its actions are replayable, its memory is inspectable. Monday operator move: give one production agent a real identity this week — a dedicated service account, scoped to the minimum tools, every action logged, stated retention for its state. If the platform cannot do that yet, that is the capability to demand. Identity is the control everything else — policy, audit, revocation, kill switch — hangs on. And scope the job like a micro-need: one role, one metric, one handoff — the agent owns 80% of the loop, with a named human gate for the last 20%. That is what the Micro-Needs method means by choosing the right problem before identity, before memory, before scale. #AgenticAI #EnterpriseAI #AIGovernance

• 
  Joey Chilson (@joeychilson) reported 36 minutes ago

  Railway is the agentic cloud, not Vercel or Cloudflare. I can prompt an agent from my phone to build anything I want and have it deploy it and give me back a domain. No restrictions. If anything happens the Railway mobile app tells me and I just prompt the agent to fix.

• 
  Tseng (@TsengSR) reported 38 minutes ago

  @iyici_ You need to learn a lot. Cloudflare is not a Domainseller. They are a Content Delivery Network with Security features for DDOS

• 
  John Doe (@StanleyMasinde_) reported 41 minutes ago

  If you took time to research, you’ll find Cloudflare horror stories. This company is bad news at scale (or at least it used to be). AWS horror stories are about user fault most of the time. Cloudflare will wake up and decide you’re not paying them enough.

• 
  TheValueist (@TheValueist) reported 42 minutes ago

  ELECTRONICS MANUFACTURING SERVICES THE MORE-THAN-10X MANUFACTURING RAMP IS A DIRECT POSITIVE FOR FLEX AND SANMINA (READ-THROUGH 8) AFFECTED COMPANIES: Flex Ltd. (FLEX: Singapore); Sanmina Corp. (SANM: US). DIRECTIONAL IMPACT AND MAGNITUDE: Positive and medium, with upside to the magnitude if Cerebras’ 2027 revenue and production objectives are achieved. Cerebras explicitly identified Flex and Sanmina as manufacturing partners and stated that manufacturing capacity is already approximately 4x the H1 2025 level. The company expects capacity to increase by more than 10x during 2026 and has already contracted facilities capable of supporting another 3x-4x expansion in 2027. This is one of the clearest direct supplier read-throughs from the call. Flex and Sanmina should benefit from factory preparation, system assembly, rack integration, testing, supply-chain management, quality control, repair, and potentially ongoing lifecycle services. Cerebras systems are high-value, technically complex products, which can support greater manufacturing-services content than conventional low-complexity electronics. The scale of the planned expansion also creates an operating-leverage opportunity for the manufacturing partners. Initial factory setup, process qualification, tooling, labor training, and yield improvement require upfront costs. Higher production volumes can improve asset utilization and spread fixed manufacturing costs across a larger output base. The principal uncertainty is allocation. Cerebras did not disclose how manufacturing volume, capital requirements, or economics are divided between Flex and Sanmina. No assumption should be made that the 10x capacity expansion is shared equally. The near-term catalyst is the 2026 factory ramp and the launch of CS4. The 2027 catalyst is the additional 3x-4x contracted manufacturing expansion required to support Cerebras’ objective of more than tripling core revenue. The longer-duration implication is positive for the broader outsourced-compute manufacturing model. AI infrastructure is expanding beyond semiconductor fabrication into increasingly complex systems, racks, power delivery, and integration, creating a larger role for high-end electronics manufacturing services. AI CLOUDS AND NEO-CLOUD ECONOMICS VERTICAL INTEGRATION CREATES A LONG-DURATION COST THREAT TO MERCHANT GPU CLOUDS, DESPITE SUPPORTIVE NEAR-TERM CAPACITY SCARCITY (READ-THROUGH 9) AFFECTED COMPANIES: CoreWeave Inc. (CRWV: US); Nebius Group N.V. (NBIS: Netherlands); Applied Digital Corp. (APLD: US); IREN Ltd. (IREN: Australia). DIRECTIONAL IMPACT AND MAGNITUDE: Positive and medium in the near term because severe compute scarcity supports utilization and rental pricing; negative and medium-to-high over the longer term because vertically integrated accelerator-cloud providers can operate at structurally lower capital cost. Cerebras disclosed that demand exceeded immediately available owned capacity to such an extent that the company temporarily rented back some of its systems from customers. The arrangement reduced core gross margin by approximately 500 bps in Q2. This is strong evidence that premium inference capacity remains scarce and that customers are willing to support economic arrangements that bring capacity online sooner. That scarcity is a near-term positive for CoreWeave, Nebius, Applied Digital, IREN, and other owners or developers of AI infrastructure. High demand should support strong utilization, financing availability, customer prepayments, and attractive contract terms. The Cerebras call therefore does not indicate an immediate collapse in merchant AI cloud economics. The longer-term read-through is more challenging. Cerebras stated that it has lower net capital expenditure per megawatt than most AI cloud providers because it deploys its own systems at internal bill-of-material cost rather than purchasing accelerators at a third-party vendor’s gross margin. Its largest customer also reimburses a meaningful portion of data center fit-out costs. If Cerebras can combine lower hardware acquisition cost, customer-funded infrastructure, premium pricing for fast tokens, and higher throughput per watt, it could price below merchant GPU clouds while still earning attractive margins. Merchant GPU clouds generally purchase hardware from NVIDIA or other third parties, absorb HBM and system-vendor economics, and then recover those costs through cloud pricing. A vertically integrated competitor captures the hardware margin internally and can optimize the entire stack around its own workload. This is the same structural advantage that hyperscalers seek through custom silicon. Disaggregation creates an offsetting opportunity. Cerebras argued that pairing its decode systems with already-installed GPUs could materially improve the productivity and useful life of older hardware. If merchant clouds adopt such configurations, they could re-monetize existing GPU fleets and reduce near-term obsolescence. However, Cerebras acknowledged that it has not yet implemented the approach with NVIDIA GPUs, making this an option rather than a validated offset. The near-term catalyst is continued evidence of high utilization and compute scarcity. The longer-term catalyst is Cerebras’ transition from rented systems to owned capacity, which management expects to begin improving gross margin materially in Q4 2026. A successful owned-capacity ramp would provide evidence that vertically integrated inference clouds can achieve structurally superior economics. The most important comparative metrics will be revenue per megawatt, gross profit per megawatt, capital expenditure per token, utilization, and lease-adjusted free cash flow. CYBERSECURITY LOW-LATENCY LLM INSPECTION COULD CREATE A NEW INLINE SECURITY CATEGORY AND A DIFFERENTIATED ADVANTAGE FOR CROWDSTRIKE (READ-THROUGH 10) AFFECTED COMPANIES: CrowdStrike Holdings Inc. (CRWD: US); Palo Alto Networks Inc. (PANW: US); Zscaler Inc. (ZS: US); Cloudflare Inc. (NET: US). DIRECTIONAL IMPACT AND MAGNITUDE: Positive and medium strategically for CrowdStrike; negative and low-to-medium competitively for Palo Alto Networks, Zscaler, and Cloudflare if they cannot offer comparable low-latency AI inspection. Near-term financial impact is low because no deployment scale or revenue contribution was disclosed. Cerebras announced a new agreement with CrowdStrike and described the use case as an application “that only exists if AI is fast.” Management argued that sufficiently fast inference allows an LLM-based security system to sit inline with enterprise traffic and inspect activity without creating a perceptible delay or disruption. The significance is that latency determines whether generative AI can be used as an active control-plane technology rather than an offline analytical tool. Traditional AI security use cases often analyze events after collection, prioritize alerts, or assist investigators. Inline LLM inference could interpret traffic, user actions, code, content, and context before allowing an interaction to proceed. For CrowdStrike, this could expand the addressable market from endpoint detection and post-event analysis toward real-time inspection and policy enforcement. It could support premium modules, higher platform attachment, improved detection efficacy, and greater strategic relevance within enterprise security architectures. The application also aligns with CrowdStrike’s broad platform strategy because low-latency model inference could be integrated across endpoint, identity, cloud, and data-protection workflows. The competitive implication is that Palo Alto Networks, Zscaler, and Cloudflare may need comparable low-latency inference capabilities to prevent feature differentiation from shifting toward CrowdStrike. The requirement could raise research and development spending and inference cost of revenue. Vendors unable to deliver model-driven inspection without adding latency could be disadvantaged in security-sensitive network paths. The principal limitation is that the call did not disclose whether the CrowdStrike relationship is in development, limited deployment, or broad production. It also did not provide contract value, customer adoption, or product-launch timing. The near-term stock impact should therefore remain modest. The longer-duration opportunity is substantial if inline AI security becomes standard. Every inspected request or session could generate recurring inference demand, creating a high-frequency workload with far greater compute intensity than periodic security analytics. This would be positive not only for CrowdStrike but also for the broader inference infrastructure ecosystem. APPLICATION SOFTWARE AND ENTERPRISE AI FAST INFERENCE IS BECOMING A PRODUCT-LEVEL DIFFERENTIATOR IN CODING AND AGENTIC WORKFLOWS, BUT IT ALSO MOVES AI COSTS INTO SOFTWARE GROSS MARGINS (READ-THROUGH 11) AFFECTED COMPANIES: Figma Inc. (FIG: US); Block Inc. (XYZ: US); GSK plc (GSK: UK). DIRECTIONAL IMPACT AND MAGNITUDE: Strategically positive and medium for product engagement, automation, and competitive differentiation; neutral-to-negative for near-term software gross margins unless customers successfully monetize the additional inference expense. Cerebras stated that it signed 6 Q2 transactions exceeding $30 million. New customer agreements included Figma, Cognition, Lovable, Block, AlphaSense, GSK, and CrowdStrike. Management described coding as a market in which customers are particularly unwilling to tolerate slow output and argued that the value of speed compounds as agentic systems evolve toward multi-step and multi-agent workflows. The read-through is that latency is becoming an application feature rather than an invisible infrastructure metric. In a single-response chatbot, a modest delay may be tolerable. In coding, design, research, automation, or multi-agent workflows, every model interaction can create a sequential dependency. A delay repeated across dozens or hundreds of tool calls can materially extend task-completion time. For Figma, faster inference can improve interactive design generation, iteration, and developer workflows. For Block, it can improve internal automation, coding productivity, customer support, risk operations, or commerce-related agents. For GSK, it can accelerate research, analytical, and enterprise-agent workflows. The specific production applications and financial contribution were not disclosed, so the impact should be viewed as strategic rather than forecastable. The positive transmission mechanism is higher user engagement, faster task completion, greater product utility, and potentially improved conversion or pricing power. The negative transmission mechanism is higher inference cost. Premium low-latency tokens can become a recurring cost of revenue rather than a temporary research expense. Software companies must therefore monetize faster AI through higher prices, greater retention, lower labor expense, or increased transaction volume. The broader software implication is that AI gross-margin exposure will vary materially by workload architecture. Companies operating asynchronous or batch applications may optimize primarily for cost. Companies operating interactive coding, design, security, and agentic products may rationally pay a premium for latency. This creates a segmented inference market rather than a single commoditized token market. The near-term catalyst is disclosure of product launches or usage growth tied to the Cerebras agreements. The longer-duration shift is the movement of inference performance into customer-facing software differentiation. Vendors that integrate speed into product design and monetization should be better positioned than vendors treating model access as an interchangeable commodity. SOURCE MATERIAL

• 
  Joshua Abrams (@unlimitedingenu) reported 47 minutes ago

  @a_shimanski @Cloudflare Ya idk. It sounds like you found a healthy or safer way to use their services. But watching them go down. Replace half their engineers and code base with AI, and seeing nightmare stories where they get billed for $100k+ cause someone added a loop somewhere just doesn’t seem cool

• 
  Bree Sharp | Web Developer & Tech SEO Consultant (@bree_sharp) reported 49 minutes ago

  @aakashgupta Most of the small sites on Cloudflare aren't publishers angry at Google. They're service businesses that need Google and have never looked at a bot management setting in their life. September 15 is going to feel like a traffic drop that came from nowhere.

• 
  Kay 🏍️😈 2.0 Fall! (@KayohVT) reported 51 minutes ago

  @hxlxlist Cloudflare is always the worst. Best of luck!!

• 
  ian (@sivasiann) reported 51 minutes ago

  My biggest conspiracy theory is that the US was mad that the Internet was too decentralized and hard to control that they were behind the massive rise in DDOS attacks so they can sell us the nice centralized and controllable Cloudflare as the solution to the problem they created

• 
  Timzen (@timzen_ofc) reported 57 minutes ago

  @timonvlr @riotgames @VALORANT website told me that they have server problems after I tried to relog in... So I asked if its maybe cloudflare. Idk whats the problem :/

• 
  Hemant (@HKsoldev) reported 59 minutes ago

  Why this never breaks: After the first lookup your computer saves that answer locally. Next time you visit GitHub? It skips ALL those steps. That's called TTL (Time To Live) a timer on every DNS record. 8 trillion DNS queries happen every day globally. Most never even reach a root server because of this cache. 40-year-old technology. Still running the entire internet. 🤯 @Cloudflare (1.1.1.1 DNS) @googledns (8.8.8.8)