Optimise cloud storage costs with Ceph

Public clouds heralded a new era of IT infrastructure flexibility, deployment times reduced from months to minutes, but, at what cost? Meeting this dynamic demand results in higher operating costs for the hyperscale public clouds, which in turn are passed on to their users. $0.021 per GB sounds cheap, but just how much is the TCO of a multi-PB data set over 5 years? The funny thing when it comes to storing data is that it typically does not match the ebb and flow of compute requirements, data needs to exist at all times, so this does not fit with the popularised model of scale-up/scale-down resource allocation. So, what can we do to optimise our storage costs in the public cloud? Deploying Ceph in a cloud adjacent model can help enterprises reduce their storage costs by over 50%, and open themselves up to multi-cloud freedom by hosting their data adjacent to multiple public clouds. Cloud adjacent storage with Ceph: In this webinar, we will discuss how you can store your data in a near-cloud datacenter which will not only reduce your storage TCO, but bring you full control over your data, and the ability to use that data in whichever public cloud you so wish. We will walk through a scenario where Charmed Ceph is deployed on Dell Poweredge hardware in a co-location facility adjacent to a public cloud region. We will cover the following: 1) Cloud storage challenges and economics 2) Workloads that suit this model 3) What is Cloud adjacent storage? 4) TCO analysis of both solutions 5) Hardware and cluster configuration choices 6) Using open source Charmed Ceph 7) Managed Operations