Ceph for Public Cloud Workloads
Public clouds were initially popularized under the premise that workloads are dynamic, and that you could easily match available compute resources to the peaks and troughs in your consumption, rather than having to maintain mostly idle buffer capacity to meet peak user demand. However, what has become more apparent is that this isn’t necessarily true when it comes to storage. Typically what is observed in production environments is a continual growth of all data sets, across those that are actively used for decision making or transactional processing, those maintained as training data for AI/ML, or kept for archival purposes, and simply just backups of critical data. During this talk we will discuss how Ceph can be deployed in a cost effective manner adjacent to public clouds, and investigate the financial implications of both approaches.
Phil Williams is a Product Leader at Canonical responsible for Ceph and other storage solutions. He has over 15 years experience in the storage industry, having previously been responsible for storage infrastructure and products at a number of leading technology companies.