Starting with PMM 1.13, PMM uses Prometheus 2 for metrics storage, which tends to be heaviest resource consumer of CPU and RAM. With Prometheus 2 Performance Improvements, PMM can scale to more than 1000 monitored nodes per instance in default configuration. In this blog post we will look into PMM scaling and capacity planning—how […]Read more
Is increasing GP2 volumes size or increasing IOPS for IO1 volumes a valid method for scaling IO-Bound workloads? In this post I’ll focus on one question: how much can we improve performance if we use faster cloud volumes? This post is a continuance of previous cloud research posts:
Saving With MyRocks in The Cloud
Percona XtraDB […]
The ability to restore MySQL logical backups is a significant part of disaster recovery procedures. It’s a last line of defense.
Even if you lost all data from a production server, physical backups (data files snapshot created with an offline copy or with Percona XtraBackup) could show the same internal database structure corruption as in […]
In this blog post, I will talk about archiving MySQL tables in ClickHouse for storage and analytics.
Hard drives are cheap nowadays, but storing lots of data in MySQL is not practical and can cause all sorts of performance bottlenecks. To name just a few issues:
The larger the table and index, the slower the performance […]Read more
While preparing a post on the design of ZFS based servers for use with MySQL, I stumbled on the topic of fsync call performance. The fsync call is very expensive, but it is essential to databases as it allows for durability (the “D” of the ACID acronym).
Let’s first review the type of disk IO […]