GitHub Availability Report: January 2022
In January, we experienced no incidents resulting in service downtime to our core services.
![](https://github.blog/wp-content/uploads/2022/02/Engineering-Enterprise@2x.png?resize=1600%2C850)
In January, we experienced no incidents resulting in service downtime to our core services. However, we do want to acknowledge an incident in February that we are continuing to investigate.
February 2 19:12 UTC (lasting 26 minutes)
Our service monitors detected a high rate of errors for issues, pull requests, GitHub Codespaces, and GitHub Actions services. We have mitigated the incident and are confident it has been fully resolved.
Due to the recency of this incident, we are still investigating the contributing factors and will provide a more detailed update in next month’s report.
Please follow our status page for real time updates. To learn more about what we’re working on, check out the GitHub engineering blog.
Tags:
Written by
Related posts
![](https://github.blog/wp-content/uploads/2023/10/Collaboration-DarkMode-2.png?resize=400%2C212)
2024 is the biggest global election year in history. What’s at stake for developers?
GitHub is considering what is at stake for our users and platform, how we can take responsible action to support free and fair elections, and how developers contribute to resilient democratic processes.
![](https://github.blog/wp-content/uploads/2023/10/AI-DarkMode-2.png?resize=400%2C212)
GitHub named a Leader in the Gartner first-ever Magic Quadrant for AI Code Assistants
This year, as part of its annual Magic Quadrant series, Gartner published a first-of-its-kind report analyzing the state of play in the AI Code Assistants market–and named GitHub a Leader.
![AI in software development 2024 survey results with colorful graphics and percentages.](https://github.blog/wp-content/uploads/2024/08/ai-survey-header.png?resize=400%2C212)
Survey: The AI wave continues to grow on software development teams
We surveyed 2,000 people on software development teams at enterprises in the U.S., Brazil, India, and Germany about the use, experience, and expectations around generative AI tools in software development.