This is the sixth in Red Hat Ceph object storage performance series. In this post we will take a deep dive and learn how we scale tested Ceph with more than one billion objects, and share the performance secrets we discovered in the process. To better understand the performance results shown in this post, we recommend reviewing the first blog , where we detailed the lab environment, performance toolkit, and methodology used…read full post

In part 4 of a series on Ceph performance, we take a look at RGW bucket sharding strategies and performance impacts…read full post

Starting in Red Hat Ceph Storage 3.0, Red Hat added support for Containerized Storage Daemons (CSD) which allows the software-defined storage components (Ceph MON, OSD, MGR, RGW, etc) to run within containers. CSD avoids the need to have dedicated nodes for storage services thus reducing both CAPEX and OPEX by co-located storage containerized daemons. …read full post

With the BlueStore OSD backend, Red Hat Ceph Storage  gained a new capability known as "on-the-fly data compression" that helps save disk space. Compression can be enabled or disabled on each Ceph pool created on BlueStore OSDs. In addition to this, using the Ceph CLI the compression algorithm and mode can be changed anytime, regardless of whether the pool contains data or not. In this blog we will take a deep dive into BlueStore’s compression mechanism and understand its impact on performance…read full post