Researchers have proposed a new method for improving the space-time trade-off in LSM-tree based key-value stores. The authors, led by Niv Dayan, introduce a new data structure called 'Dostoevsky' which is designed to reduce the memory usage of LSM-trees while maintaining their performance. Dostoevsky achieves this by using a combination of buffering and lazy flushing. In experiments, the authors found that Dostoevsky outperforms existing methods in terms of both space usage and write throughput. The code for Dostoevsky is available on GitHub at https://github.com/nivdayan/dostoevsky.

GitHub Actions experienced a 3-hour outage on March 16, 2023, with users unable to create new workflows or schedule existing ones. The issue affected users worldwide, with some experiencing errors when trying to create new workflows. GitHub acknowledged the issue and provided a scheduled maintenance window, but did not specify a cause for the outage. The issue was resolved after 3 hours with no further details provided.