GitHub Availability Report: March 2023
In March, we experienced six incidents that resulted in degraded performance across GitHub services. This report also sheds light into a February incident that resulted in degraded performance for GitHub Codespaces.
![](https://github.blog/wp-content/uploads/2022/04/Engineering-Enterprise@2x-1.png?resize=1600%2C850)
In March, we experienced six incidents that resulted in degraded performance across GitHub services. This report also sheds light into a February incident that resulted in degraded performance for GitHub Codespaces.
February 28 15:42 UTC (lasting 1 hour and 26 minutes)
On February 28 at 15:42 UTC, our monitors detected a higher than normal failure rate for creating and starting GitHub Codespaces in the East US region, caused by slower than normal VM allocation time from our cloud provider. To reduce impact to our customers during this time, we redirected codespace creations to a secondary region. Codespaces in other regions were not impacted during this incident.
To help reduce the impact of similar incidents in the future, we tuned our monitors to allow for quicker detection. We are also making architectural changes to enable failover for existing codespaces and to initiate failover automatically without human intervention.
March 01 12:01 UTC (lasting 3 hour and 06 minutes)
On March 1 at 12:01 UTC, our monitors detected a higher than normal latency for requests to Container, NPM, Nuget, and RubyGems Packages registries. Initial impact was 5xx responses to 0.5% of requests, peaking at 10% during this incident. We determined the root cause to be an unhealthy disk on a VM node hosting our database, which caused significant performance degradation at the OS level. All MySQL servers on this problematic node experienced connection delays and slow query execution, leading to the high failure rate.
We mitigated this with a failover of the database. We recognize this incident lasted too long and have updated our runbooks for quicker mitigation short term. To address the reliability issue, we have architectural changes in progress to migrate the application backend to a new MySQL infrastructure. This includes improved observability and auto-recovery tooling, thereby increasing application availability.
March 02 23:37 UTC (lasting 2 hour and 18 minutes)
On March 2 at 23:37 UTC, our monitors detected an elevated amount of failed requests for GitHub Actions workflows, which appeared to be caused by TLS verification failures due to an unexpected SSL certificate bound to our CDN IP address. We immediately engaged our CDN provider to help investigate. The root cause was determined to be a configuration change on the provider’s side that unintentionally changed the SSL certificate binding to some of our GitHub Actions production IP addresses. We remediated the issue by removing the certificate binding.
Our team is now evaluating onboarding multiple DNS/CDN providers to ensure we can maintain consistent networking even when issues arise that are out of our control.
March 15 14:07 UTC (lasting 1 hour and 20 minutes)
On March 15 at 14:07 UTC, our monitors detected increased latency for requests to Container, NPM, Nuget, RubyGems package registries. This was caused by an operation on the primary database host that was performed as part of routine maintenance. During the maintenance, a slow running query that was not properly drained blocked all database resources. We remediated this issue by killing the slow running query and restarting the database.
To prevent future incidents, we have paused maintenance until we investigate and address the draining of long running queries. We have also updated our maintenance process to perform additional safety checks on long running queries and blocking processes before proceeding with production changes.
March 27 12:25 UTC (lasting 1 hour and 33 minutes)
On March 27 at 12:25 UTC, we were notified of impact to pages, codespaces and issues. We resolved the incident at 13:29 UTC.
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.
March 29 14:21 UTC (lasting 4 hour and 29 minutes)
On March 29 at 14:21 UTC, we were notified of impact to pages, codespaces and actions. We resolved the incident at 18:50 UTC.
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.
March 31 01:16 UTC (lasting 52 minutes)
On March 31 at 01:16 UTC, we were notified of impact to Git operations, issues and pull requests. We resolved the incident at 02:08 UTC.
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 on status changes. 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.