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