Homogenous Spot clusters in Qubole Data Service (QDS) have already been observed to show savings of up to 80% over on-demand clusters (and for this reason – are extremely popular with our customer base – with 50% of compute hours in QDS coming from Spot instances). With heterogeneous Spot clusters – we are now seeing these cost savings exceed 90% against on-demand clusters.Watch this on-demand webinar, where Justin Wainwright, Systems Analyst from the Oracle Data Cloud team talks about their heterogeneous cluster setup on QDS which allows customers to mix-and-match EC2 instances of different types within the same cluster – leading to significant cost savings and more reliable clusters. These instances can come from different instance families as well as different purchasing options (like on-demand and Spot).
Godan Yao of Qubole rounds out the discussion when he dives into tuning for performance and total cost of ownership in the cloud. Heterogeneous clusters on QDS, provide a cost effective solution to balancing performance and cost.
- Learn how Oracle was able to:
- Solve the problem of finding Big Data/Hadoop expertise
- Seamlessly meet their SLAs for analytic demands
- Create a scalable platform for managed access in the cloud
- Save up to 90% over on-demand clusters
Justin Wainwright, Oracle Systems Analyst – Focused on the Qubole Platform
Goden Yao, Qubole Director of Product Management
Who should watch?
- IT Infrastructure Administrators
- IT Managers
- Data Administrators
- Cloud Administrators