Workload-Aware Auto-Scaling; A New Paradigm for Big Data Workloads

Learn why auto-scaling for big data in the cloud requires a different approach than traditional auto-scaling.

This technical white paper explains the differences between what cloud provider auto-scaling was designed to support vs. what is required to scale cloud resources with Hadoop, Spark and big data workloads. You will learn:

• What the differences are in transactional web server vs. big data workloads
• Why up-scaling and down-scaling must work differently for big data
• How you may be losing data and risking your business by relying on simple down-scaling methods
• The financial savings realized by companies using workload-aware auto-scaling
• …and more!

Please register to download this white paper, Workload-Aware Auto-Scaling; A New Paradigm for Big Data Workloads sponsored by Qubole.