Tamás Hauer, Philipp Hoffmann, John Lunney, Dan Ardelean, and Amer Diwan, Google High availability is a critical requirement for cloud applications: if a system does not have high availability, users cannot count on it for their critical work. Having a metric that meaningfully captures availability is useful for both users and system developers. It informs users what they should expect of the avai

RobinHood: Tail Latency Aware Caching -- Dynamic Reallocation from Cache-Rich to Cache-Poor Daniel S. Berger and Benjamin Berg, Carnegie Mellon University; Timothy Zhu, Pennsylvania State University; Siddhartha Sen, Microsoft Research; Mor Harchol-Balter, Carnegie Mellon University Tail latency is of great importance in user-facing web services. However, maintaining low tail latency is challenging

InnoDB to MyRocks migration in main MySQL database at Facebook Yoshinori Matsunobu Production Engineer, Facebook May/2017 Who am I ▪ Was a MySQL consultant at MySQL (Sun, Oracle) for 4 years ▪ Joined Facebook in March 2012 ▪ MySQL 5.1 -> 5.6 upgrade ▪ Fast master failover without losing data ▪ Partly joined HBase Production Engineering team in 2014.H1 ▪ Started a research project to integrate Rock

Graphite@Scale: How to store millions metrics per second Vladimir Smirnov System Administrator SREcon17 Asia/Australia 22 May 2017 Why you might need to store your metrics? Most common cases: I Capacity planning I Troubleshooting and Postmortems I Visualization of business data I And more... Graphite and its modular architecture From the graphiteapp.org I Allows to store time-series data I Easy to