What is Scalability in Cloud Computing

What is Scalability in Cloud Computing

Big Data Performance and Capacity Planning


Understand Your Performance Needs – Today and Tomorrow

Your business can’t afford slow application performance or downtime. But with ever-growing big data workloads and constraints on infrastructure or cloud spend, keeping applications running optimally and meeting SLAs is a challenge. High volumes of data and large-scale distributed computing architectures ratchet up the pressure to improve operational efficiencies. Without the ability to predict future needs and plan, your IT environment risks performance bottlenecks and outages. Capacity management and planning can help you better understand your performance needs for today and provide a plan for growth.

What is Big Data Capacity Planning?

Capacity planning is the process of evaluating your current and future big data infrastructure needs and developing a strategy to provide the best performance while accounting for growth. Successful capacity management and planning help ensure you can meet your SLAs, deliver applications on time and within your IT budget, and continue to offer the capability the business needs to grow. Predictive analysis helps you know when you will no longer be able to meet service levels, how to prepare for future workloads, and determine the most cost-effective configuration for your IT environment.