AWS has recently announced a new type of instance targeted at I/O intensive applications, the i3.metal. That instance does away with the virtualization layer altogether, and gives back the resources that would otherwise be used by the hypervisor back to the application.

To use all of those resources — 72 CPUs and 512GB of memory — a database needs to be have the ability to scale both up and out.

In this webinar we will look into the performance of Scylla running in a few of those instances versus Apache Cassandra running in their sweet spot, a larger fleet of smaller instances. We will discuss how much of the gains come from the database design and how much come from the removal of the virtualization layer.

Key takeaways:

  • How to properly compare two different database technologies while being fair to both
  • How to choose the optimal setup for your Scylla deployment
  • How AWS’s bare metal servers enable Scylla users to draw a significant performance boost.


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Speaker bio

Glauber Costa
VP of Field Engineering, ScyllaDB
Glauber splits his time between the engineering department working on upcoming Scylla features and helping customers be successful with Scylla.

Before ScyllaDB, Glauber worked with Virtualization in the Linux Kernel for 10 years, with contributions ranging from the Xen and KVM Hypervisors to all sorts of guest functionality and containers.
Tomer Sandler
Solution Architect, ScyllaDB
Tomer joined ScyllaDB as a solution architect after a 12 year career in SW Quality Engineering, mostly in storage and telecom lawful interception domains. Prior to ScyllaDB, Tomer held various QA management roles at Dell EMC, leading a group of QA engineers and information developers for ScaleIO storage, and at VERINT, as Senior QA engineer working with U.S. and Spanish Law Enforcement Agencies customers engagement experience. In his free time he enjoys hiking, playing the saxophone, spending time with his family and last but not least engaging in OSINT (Open Source Intelligence) research.

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