Stretching the Cloud: Flexibility in Cloud Deployments

Elastic Cloud has historically been optimized for performance. We focused on the best instances and SSDs we could get on AWS and GCP, but recognized that those optimizations might not fit all use cases.

The team will discuss, in technical detail, the biggest changes to Elastic Cloud since its launch. New capabilities will allow you to match your provisioned hardware to your use cases, making it easier to efficiently run Elasticsearch for multiple workloads such as hot/warm architectures, dedicated master nodes, and machine learning. This is foundational to enabling additional Elastic Stack features like APM, Logstash, and more.

Jonathan Halterman

Jonathan is a Cloud Engineer at Elastic with a background in distributed systems infrastructure and cloud services. When not obsessing over product improvements, you can find him working on open source or chasing a ball around a soccer pitch.

Uri Cohen

A product manager by profession and an engineer at heart, Uri is Sr. Director, Product Management for Elastic Cloud and Elastic Cloud Enterprise. His background includes engineering and product management in the areas of distributed systems, cloud and devops. He's also the proud father of 4, and masquerades during weekends as an all-mountain and occasionally downhill bicycle rider, trying his best to keep his body in one piece.