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GitHub

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
Yokohama, Kanagawa 1
Gustavo Adolfo Madero, CDMX 1
Nice, Provence-Alpes-Côte d'Azur 1
Brasília, DF 1
Montataire, Hauts-de-France 3
Colima, COL 1
Poblete, Castille-La Mancha 1
Ronda, Andalusia 1
Hernani, Basque Country 1
Tortosa, Catalonia 1
Culiacán, SIN 1
Haarlem, nh 1
Villemomble, Île-de-France 1
Bordeaux, Nouvelle-Aquitaine 1
Ingolstadt, Bavaria 1
Paris, Île-de-France 1
Berlin, Berlin 2
Dortmund, NRW 1
Davenport, IA 1
St Helens, England 1
Nové Strašecí, Central Bohemia 1
West Lake Sammamish, WA 3
Parkersburg, WV 1
Perpignan, Occitanie 1
Piura, Piura 1
Tokyo, Tokyo 1
Brownsville, FL 1
New Delhi, NCT 1
Kannur, KL 1
Newark, NJ 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:

  • iPariola
    P! (@iPariola) reported

    i created this mess on Github myself and now i have to fix it 😔 need to set up a github rule for PRs

  • rifeash
    asitis (@rifeash) reported

    Nanochat trained on Nepali text by a frontier AI lab involved in training open source Nepali AI models. @HimalayaAILabs don't you think it's time to fix the wording on Huggingface? Frontier pushes the capability btw. Github has a good description though. I was optimistic at start but it all fizzled out. The bark is worse than the bite

  • rahat_neuron
    Rahat Kabir (@rahat_neuron) reported

    @github down? i've been contributing and committing changes, but my GitHub activity graph isn't updating.

  • Cortright_ok
    Alex Cortright (@Cortright_ok) reported

    @dmesg @Punished_HIMBY @zzarakkk where isn’t it? github has published data showed massive increase in production. more shopify apps are published than ever before. the apple app store is literally flooded to the gills with apps more than ever historically. the list goes on forever. it’s actually a problem? people are producing TOO much with it and the barrier to enter is TOO low right now. how blind do you have to he to not see ai everywhere? the problem isn’t ai not producing anything it’s producing too much and most people are not great with it so the quality of output has no guardrails.

  • 0xSHUBY
    S H U B Y .eth (@0xSHUBY) reported

    PROBLEM 1: *** Nightmare first mistake happened before any real code. accidentally pushed node_modules to github. github rejected it. said file exceeds size limit. the repo was now polluted. solution: added .gitignore, deleted *** history, reinitialized the repo completely. created a clean repository and pushed again. felt dumb but learned something: .gitignore first, code second. infrastructure before content.

  • leanctx
    LeanCTX (@leanctx) reported

    Crossed 860 GitHub stars on lean-ctx. Wild that something I built to fix my own token bill is now used by thousands of devs.

  • arka6fx
    Arka (@arka6fx) reported

    so mcp (model context protocol) basically acts as an universal connector between LLM and external tools, services and data sources. Think of it like this: LLM = the brain MCP server = adapter/bridge External service = Google Drive, GitHub, Slack, database, filesystem, etc. eg: your LLM can read,write,search docs and get the context of your google drive

  • corenmhr
    C. Michael Randazzo (@corenmhr) reported

    @Teknium do you know DragonOS (Noble 24.04 distro) for SDRs? Hermes installs fine but hangs on start and uses 99% cpu. Worked until 13 update. To Github issue, or?

  • techedgedaily
    TechEdgeDaily (@techedgedaily) reported

    @jarredsumner The AI-assisted Rust rewrite of Bun is officially being merged. v1.3.14 is the last version in Zig. Ever. Passes the test suite on Linux x64, arm64, Windows x64 and arm64, macOS x64 and arm64. Closes roughly 200 GitHub issues. No benchmark where it is slower than the Zig implementation. Same codebase, better crash prevention tools. A week ago this was "Claude helped rewrite Bun in Rust and it passes 99.8% of tests." Today it is shipping to production. The rewrite that everyone said was ambitious is now the default. The most significant AI-assisted codebase migration in open source history just went from experiment to release in days.

  • _renatov
    Renato Villanueva (@_renatov) reported

    Deleted some old repos of projects I had started but they ended up not being used. about 2/3 of my total github contributions went away too... lesson: plan better and pick better problems

  • Dever401
    Isaac (@Dever401) reported

    @getordiaapp GitHub-only risk detection sounds useful if the output is painfully concrete: blocked issue, stale PR, missing owner, slipping milestone, next action. Tiny teams don't need another dashboard; they need a weekly 'what is about to hurt us' view from tools they already trust.

  • colinhacks
    colinhacks/zod (@colinhacks) reported

    @PawelJLisowski we're calling ourselves an "OSS CodeRabbit" when really the most interesting parts of Pullfrog are not review-related. it's basically a hackable platform that lets you trigger agent runs in response to arbitrary GitHub activity. being able to mention @ pullfrog anywhere to tweak a PR, open an issue, implement a feature—all things CodeRabbit doesn't do. focusing in on PR review: - price is the obvious one. I don't think per-seat billing makes any sense here. misaligns all the incentives—they're gonna try to use cheaper models to keep their costs down and margins high - running your code. they advertise things like "50+ linters and SAST tools" that are available to their agent. but only one matters—the one that's in your repo. because we're inside Actions we can just install your deps and run lints with your actual configs. - true model/provider agnosticism (you have control) - quality/ anecdotally there's no contest between a well-prompted Opus run vs CodeRabbit. candidly there's a way to go before we have true feature parity but for a typical reviewbot workflow Pullfrog is already very polished

  • mayankjain_11
    Mayank Jain (@mayankjain_11) reported

    4/ Perplexity for devs Stop Googling documentation. Perplexity pulls the latest docs, Stack Overflow threads and GitHub issues in one answer. Saves 20 mins per debugging session easily.

  • ryxcommar
    Senior PowerPoint Engineer (@ryxcommar) reported

    @berenddeboer @tannerlinsley @ErfanEbrahimnia Some of the other supply chain attacks you could easily point to stupid things they did like PAT tokens in pull_request_target or uses not locked to hashes. It's hard to look at this and say Tanstack did anything wrong. Github Actions is the problem.

  • iamkazihasanali
    Kazi Hasan Ali (@iamkazihasanali) reported

    Most users when they love the product, mostly say nothing or give a 5 star rating. this guy wrote me a 1 page long email, compared it to competitors and github projects, mentioned he tried building it himself in Python 2 years ago and gave up then still took time to report a small DST bug. That kind of feedback is worth more than any 5-star review. The fix is shipping.

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