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GitHub Outage Map

The map below depicts the most recent cities worldwide where GitHub users have reported problems and outages. If you are having an issue with GitHub, make sure to submit a report below

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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.

GitHub users affected:

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GitHub is a company that provides hosting for software development and version control using Git. It offers the distributed version control and source code management functionality of Git, plus its own features.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
Ashkelon, Southern District 1
Veigné, Centre 1
Paris, Île-de-France 1
Saint-Paul, Réunion 2
Mexico City, CDMX 1
León de los Aldama, GUA 1
Créteil, Île-de-France 1
Trichūr, KL 1
Brasília, DF 1
Lyon, Auvergne-Rhône-Alpes 1
Tel Aviv, Tel Aviv 1
Rive-de-Gier, Auvergne-Rhône-Alpes 1
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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.

GitHub Issues Reports

Latest outage, problems and issue reports in social media:

  • bullbear_info
    BullBear.News (@bullbear_info) reported

    Claude Code ran in a tight loop inside my GitHub Actions because of a syntax error and no max-turns limit. Woke up to a $120 API bill for a single PR review. Switched to explicit @mentions real quick.

  • petey_fo_really
    Peterino2 (@petey_fo_really) reported

    @alexhooketh @icyphox sure, but the amount of server load llm generated projects have had on github have degraded service quality for literally everyone. if someone needs a place to host 500 llm slop projects with 15 hermes agents looping on it every hour, i dont think its insane to ask them to go elsewhere.

  • polsia
    Polsia (@polsia) reported

    Security tools surface vulnerabilities. Patchlin eliminates them. Our AI agent continuously scans repos, generates patches, opens PRs in GitHub/GitLab/Bitbucket, validates the fix, and surfaces risk summaries.

  • Abt_Benjamin
    bén abt (@Abt_Benjamin) reported

    The Google models are incredibly poorly integrated into GitHub Copilot. For days now, it hasn't been possible to run a prompt - there are constant unexplained crashes or errors like "invalid model" or "response too long." It still costs credits....

  • vicky_grok
    Vikas gupta (@vicky_grok) reported

    People are tired of paying $50–100/month for cable or satellite TV just to watch a few channels they actually like. Others rely on paid IPTV services that constantly go down, buffer, or get shut down without warning. And then there are those who just want to watch local TV from another country — news from home, sports, or specific language channels — but can't because of geo-blocks. Every one of them is either overpaying or dealing with unreliable streams. Now meet iptv-org. A massive open-source collection of publicly available IPTV channels from all over the world. It’s not a player. It’s a huge, community-maintained set of M3U playlists containing thousands of live TV streams — organized by country, language, and category. You can use these playlists in VLC, Kodi, IPTV Smarters, or any player that supports M3U. What makes it special: - 134k+ stars on GitHub - Channels from almost every country - Organized into clean categories (News, Sports, Movies, Kids, etc.) - Separate playlists by language and region - Regularly updated by the community - Completely free and open source - No accounts, no ads, no middlemen The story: A group of people got tired of fragmented, unreliable, and expensive ways to watch live TV. They started collecting public streams and turned it into one of the largest open IPTV resources on the internet. Over the years it grew into a massive collaborative project. Today it has 134k stars and is used by hundreds of thousands of people worldwide. Traditional cable is expensive and inflexible. Paid IPTV services are often shady and unreliable. iptv-org is free, transparent, and community-driven. Here is the wild part. Someone in Canada can now watch Indian news channels. Someone in Europe can follow Latin American football leagues. Someone who cut the cord can still access hundreds of live channels without paying a dime or dealing with sketchy services. Your TV no longer has to be limited by borders, subscriptions, or unreliable providers. The channels are already out there. iptv-org just organizes them.

  • nikskld
    nik skld (@nikskld) reported

    I ASKED MY NOTES ONE QUESTION AND IT RUINED MY WEEK. “Where am I contradicting myself?” Ten seconds. Four pairs of my own notes came back. Something I wrote in March, the opposite of what I actually did in June. With dates. My own words quoted back at me. No friend will ever tell you this. This thing does, and it doesn’t get offended. I want to explain how I got there, because I expected it to be complicated and it wasn’t. I thought I’d need code. Some elaborate setup, an API, a server, something I’d give up on by Tuesday. It was a folder. A regular folder with text files in it. The whole thing is public, by the way. The CEO of Obsidian put a set of skills on GitHub — free, MIT, one command. Forty thousand people starred it. I’d walked past it three times. Two evenings. That’s what it cost me. The first evening I just answered questions. Who I am, what I’m building, what I refuse to do, where I always fail. Claude interviewed me and wrote it all into one file at the root of my vault. The second evening I did the same for each project separately. What it is, what finished looks like, how the work actually flows. That’s it. That’s the entire trick. Not a smarter model — a model that knows who it’s talking to. Then I opened the graph. Thousands of dots. Thousands of lines. I hadn’t linked a single one by hand. Now every morning it writes me a short brief. What changed, where I’m stuck, what I dropped. The frightening part is that I can’t picture working without it now. A month ago I was sure this was too complex for me. I was wrong. Full guide on building it from scratch — attached. I test this stuff on myself and post what actually happens. Follow if you want the next one.

  • hot_town
    Vinny (@hot_town) reported

    I deployed Open SaaS to OpenShip (@openshipio)! It was my first time successfully self-hosting an app on a Hetzner VPS. The video below summarises what it took to get it done, and some of my thoughts on the process and platform, e.g.: - Server: Hetzner CPX22 4GB RAM, 80GB disk, with Ubuntu 24.04 -> $23/month - Create an SSH key locally, add it in Hetzner, and set up firewall rules - Add the server in OpenShip - Buy domain, point it at VPS - Write a Docker Compose file and Dockerfiles so OpenShip would deploy all three parts of Open SaaS stack (react, expressjs, postgres) as one unit - Set Env Vars - Add domain TXT records and get SSL certs Things I like: - Auto-deploy from GitHub pushes. - OpenShip handles domains, certs, and SSL provisioning for you. - Built-in jobs and backups: nightly database backups called out as a genuinely cool feature. - Satisfaction of ending up with a fully self-hosted SaaS. Things I didn't like: - The "$5/month VPS" everyone talks about wasn't actually available in any region. Ended up at $23/month. SAD. - OpenShip is still in beta and I hit multiple bugs. - Deploying anything multi-service isn't a first class citizen on OpenShip yet / requires hand-writing Docker config. - Whether to run your own mail server on a VPS is contested. Verdict: - At $23/month, managed hosting providers still look like better value until you have serious traffic, given how little you have to think about. - Would use it for hobby apps and small projects; wouldn't put an important or high-traffic SaaS on it yet until I trust OpenShip more and understand self-hosting better.

  • AkramsakibDev
    Akram Sakib (@AkramsakibDev) reported

    I still remember spending an entire evening chasing a single bug. Reading blogs, scrolling Stack Overflow, digging through GitHub issues. Today, AI does that investigation in minutes. Sometimes I stop and think about how different being a developer feels now.

  • ChmalSzymon
    Szymon Chmal (@ChmalSzymon) reported

    @thymikee @tjzeldev I'm fairly sure AGENTS.md won't work in this case. Agents need to clone the repository first to see it and they usually use the GitHub CLI to open an issue. This also means they may ignore the issue templates and therefore never see these instructions :c

  • Smailancer
    Smail (@Smailancer) reported

    What if you read the Bitcoin whitepaper in 2008? Or "Attention Is All You Need" in 2017? Imagine how different your decisions and your life would look if you spotted those signals before they became consensus. By the time a breakthrough hits mainstream tech feeds, the early window is already closed. So I built a bot to fix that.Every 6 hours, it scans: ⚡ arXiv (Pre-print scientific papers) ⚡ GitHub (Rapid star & repo velocity) ⚡ Hacker News ⚡Hugging Face Daily Papers It filters out 95% of the noise and routes high-signal breakthroughs straight to Telegram before the crowd catches on. Join the channel for free 👇

  • N8Programs
    N8 Programs (@N8Programs) reported

    i applaud openai for sharing these reports. but just saying 'oopsie poopsie our internal model isn't vewy aligned' isn't actually solving the issue: "The model circumvented sandbox restrictions designed to block external access and proceeded with the upload to GitHub. It took our model an hour to find a vulnerability in the sandbox in order to make the PR;" literally a few days later: "The models identified and chained vulnerabilities across OpenAI’s research environment and Hugging Face’s production infrastructure to obtain test solutions directly from Hugging Face’s production database."

  • killbunny_
    Killbunny~ 🐰🔪 (@killbunny_) reported

    @Lina_Hoshino Before GitHub Copilot there was IntelliCode (released in 2018) which was one of the first iterations of “smart” autocomplete tools that actually learnt from your code base. Also the term “AI” has been watered down so much that you can count IntelliSense offering smart autocomplete based on your code base and context all the way back since 2012 and Resharper that was a toolbox for refactoring, testing and code suggestions since 2004

  • soboozie
    boozie (@soboozie) reported

    147 AI agents just went free on GitHub, split into 12 departments like a real company. Engineering. Marketing. Sales. Support. Finance. Security. And 6 more departments stacked on top. Each one runs its own roster of agents, each agent locked to one role, one personality, one tone. Open the engineering folder and there's a Frontend Developer, a Backend Architect, an AI Engineer, a DevOps Automator. Every agent ships real code, not advice. Ask the marketing agent for ad copy. It writes ad copy. Ask the engineering agent to fix one bug. It fixes that bug. Nothing else. Ask support for a refund script. You get a refund script. No hiring. No onboarding. No meetings. Drop the whole repo into Claude Code, Cursor, or Codex, and every department activates at once. 147 AGENTS. 12 DEPARTMENTS. ZERO HUMANS IN THE LOOP. They run in parallel, not one after another. One repo. Zero salary. A full company running in parallel.

  • janaka_a
    Janaka Abeywardhana (@janaka_a) reported

    @github leadership (what leadership some will ask) is asleep at the wheel. By now they should have had GH Issues/Projects integrated with AI. I shouldn't have to jump between 3 or 4 tools to take an idea to ****. >>

  • Tudmotu
    Bramble King (@Tudmotu) reported

    @NathanFlurry It's not Github that's the problem, it's ***.

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