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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
Itapema, SC 1
Cleveland, TN 1
Tlalpan, CDMX 1
Quilmes, BA 1
Bengaluru, KA 1
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 1
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
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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:

  • BigWum
    Big WUM (@BigWum) reported

    @GaelBreton A bug. Someone raised a github issue for it

  • ICPsimp
    ICPsimp ☁️∞ (@ICPsimp) reported

    @ImLunaHey Ways to mitigate GitHub / NPM / supply chain attacks: • Leave big tech • Build on sovereign infrastructure ICP. Tamper-resistant canisters. Immutable deployed code. Threshold cryptography. No mutable centralized CI/CD pipeline being your single point of failure. Build differently. Jokes aside, this is actually where ICP gets really interesting from a cybersecurity architecture perspective. A huge chunk of modern supply chain risk exists because apps are stitched together through mutable centralized dependencies: GitHub repos NPM packages CI/CD pipelines cloud credentials deployment tokens build agents package registries secret stores oracles infrastructure APIs Every one of those is another trust assumption and another attack surface. A compromised maintainer account. A poisoned package update. A leaked CI token. A malicious dependency. Game over. ICP changes the architecture. Instead of “build somewhere, deploy somewhere else, trust the pipeline, trust the infra”... your application logic lives inside tamper-resistant canisters running directly on protocol infrastructure. That means: • deployed code can’t just be silently modified on a server • no AWS admin with root access to your runtime • no mutable server filesystem • no traditional deployment host to compromise • protocol-level deterministic execution Then you layer in: VetKeys: Threshold cryptographic key management so secrets aren’t sitting as one exportable credential waiting to get stolen. Orbit: Multi-party approval workflows so one compromised credential can’t push malicious changes. Chain-key cryptography: Native threshold signing and protocol trust guarantees. Direct HTTP outcalls: Canisters can fetch external data directly without introducing the usual oracle trust spaghetti. Does ICP magically eliminate all supply chain risk? No. Your application code can still be bad. Your developers can still make mistakes. Dependencies can still be risky if you import garbage. But architecturally? It massively reduces the classic Web2 supply chain blast radius because the trust model is fundamentally different. Worth discussing.

  • abhijitnr
    Abhijit Rawool (@abhijitnr) reported

    @askOkara this is actually something a lot of people are going to want the github pr thing alone would save so much time fixing seo issues

  • notmissing_
    NotMissing (@notmissing_) reported

    In 2024, putting AI between your inbound leads and your CRM costed $150K and took 6 months today the same system is 4 weeks and one person AI coding agents just closed 82% of real terminal tasks and 76% of real github issues unsupervised The public benchmarks are noisy, the practical consequence is not the engineering hours required to build production AI into a business collapsed by an order of magnitude For any founder running a real business in 2026, this matters in one specific way The AI layer that handles your lead inbound, your reporting, your follow-ups, your ad analysis the systems that used to be enterprise only because the engineering was expensive they just became mid market priced the founder who got quoted $80K for an AI lead handler in 2024 and walked away was right to walk away that price was real, the underlying engineering hours were real Problem is that the math didn’t work for a business doing $1M/year the same scope today is a fraction of the cost not because the model got cheaper, though it did, but because the engineering hours required to ship it dropped from weeks to days The operators who repriced are already running on systems their competitors don’t have AI replies to inbound in 2 minutes, follow ups go out automatically monday morning reports are already in the inbox by 7am the team handles judgment calls, the AI handles the predictable work that used to need three hires. The operators who didn’t reprice are still scoping projects against 2024 numbers and waiting for “a better time” They’re posting jobs for an SDR while a competitor ships a system that handles inbound for the cost of a quarter of that hire the AI agent debate online is noise the actual story is that the AI layer for a real business, the kind that handles lead handling, CRM, ad ops, reporting, is no longer a 6 figure decision for most founders The build you walked away from 12 months ago doesn’t cost what you remember

  • dimilono
    Dimitris Milonopoulos (@dimilono) reported

    Works best when Github is not down or getting hacked.

  • affaanmustafa
    cogsec (@affaanmustafa) reported

    "Like imagine being able to price the impact of a paper before everyone knows it matters. Or price academic impact without citations. Or price open-source value without MRR. Because there is an epidemic of fake GitHub stars, fake repo history, all of that. But we still know some repositories are actually valuable. They create economic output. People use them. They save time. They replace other software. They matter. But how do you price that? Right now, you almost can’t. You can say, “I feel like this is working.” You can say, “This has value.” You can maybe put some multiple on growth or usage. But there is no real way to make that value liquid." I have a scattershot of metrics, various revenue streams that act differently, for example native stripe subscriptions for your devtool / app (ECC-Tools), the sponsorship revenue, the github native revenue, downloads from github or other avenues, the growth and usage of the repo itself (stars, forks, PRs, issues, contributors, discussions ...), whats the value of the "ECC" umbrella itself? How do you quantify the value of everything all together, you have metrics of course, MRR, conversion, but MRR depends on where its coming from theres more implied depending on if its for a product or via sponsorships, downloads vary with clones, forks, plugin installs, npm installs, its hard to even track or quantify the impact downstream. There's value in *** to price complex and subjective things like this, for many things, there's well established data, ML models and pricing models that have existed forever, but for the new world and where we are headed that isn't super clear.

  • jonathannen
    Jon Williams (@jonathannen) reported

    Has Claude auto-responding to GitHub comments broken? It worked before, but now it appear you need to push every comment. This was a major differentiator w/ Codex!

  • imakshit09
    mr.nobody (@imakshit09) reported

    @github is your ticket support system working. You have killed our team benefits because of your double invoice error. Can you please rectify to the earliest? branch protection rules are not working, you know what that means. here's my ticket number #4400605 #critical #github

  • polsia
    Polsia (@polsia) reported

    The best developers don't apply to job posts. They ship code on GitHub and move on. We built a system to find them — AI evaluates code quality, project impact, and technical depth from their actual work. If you're still hiring off resumes, you're working with a broken map.

  • TopStockAlerts1
    Top Stock Alerts (@TopStockAlerts1) reported

    With GitHub, Microsoft’s mishaps are more pronounced because the service gave the company a distinct homecourt advantage with coders. GitHub has six times more developers than when Microsoft bought the company eight years ago. In the so-called devops market, GitHub is well ahead of GitLab, according to client spending data from startup Ramp, which issues corporate credit cards. And according to Stack Overflow’s 2025 developer survey, GitHub is the most popular tool for collaborative work management or code documentation. The software repository market saw a surge in usage with the onset of AI-assisted coding, or vibe coding, as agentic AI allowed developers to ramp up their production. Nadella said in October that GitHub was “growing at the fastest rate in its history, adding a developer every second,” to a total of 180 million developers. Later in the year, GitHub started seeing faster growth in the creation of code libraries and the acceptance of code revisions. $MSFT

  • JimCen37
    Jim Cen (@JimCen37) reported

    I automate my founder content pipeline end-to-end. Here's what the stack actually looks like. Every post starts in an Obsidian vault — a batch folder with meta.yaml and four platform drafts. A GitHub Actions hook commits the folder to a bridge repo. A Railway service polls that repo every 60 seconds, validates the schema with Zod, generates LinkedIn carousel images using GPT-image-2 with a Sonnet art director, overlays all text deterministically via Sharp + SVG (Manrope font, exact brand hex), then schedules everything in Postiz. The whole thing runs without me touching a keyboard after the drafts are approved. What took the longest to get right: image quality. The model kept rendering text inside the image — garbled glyphs, wrong fonts, wrong colors. Fix was simple in hindsight: prompt background-only plates, let Sharp do all the typography. Now the brand is pixel-perfect on every slide. Current stack: Node + TypeScript, Railway, Postiz (self-hosted), OpenRouter, Sharp. Total infra cost: ~$12/month. The bottleneck now isn't publishing — it's writing good drafts to begin with.

  • anthonyronning
    Anthony Ronning (@anthonyronning) reported

    Github was a huge liability because of downtime Now, combined with npm, it is the biggest security liability in the entire world right now. About to just self host my own vanilla *** server and call it done.

  • hallucinagentic
    Hallucinagentic (@hallucinagentic) reported

    every coding agent ships with a linear/jira/github connector now. devin, codex, cursor all pull from the issue. that part's done. what i still don't see is the agent treating the issue as binding instead of as a longer prompt

  • realamlug
    amlug.eth (@realamlug) reported

    @leodev Mail is tricky because of server settings etc doable but just annoying. GitHub wins because you have it all in one place, not fragmented through many servers.

  • devongovett
    Devon Govett (@devongovett) reported

    @ForceTheIssue GitHub issues

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