Solve the 3 Main Issues that Will Ruin Cloud and Big Data Projects
Don't Fall Victim to Common Mistakes
With organizations of all sizes planning or implementing cloud and big data initiatives, the risks are high and the stakes large. There are many reasons why cloud and big data implementations can bog down, but overcoming three infrastructure causes is vital to a successful project.
- Memory Demands - With the increased reliance on virtualization, cloud and big data applications can easily become memory constrained, leading to debilitating performance bottlenecks.
- Managing Growth - High-demand workloads and explosive global data growth are testing the scalability and performance limits for storage solutions.
- Manage Energy Efficiency - Budgeting, planning and controlling power usage are concerns for all IT departments, and managing energy efficiency is critical as your infrastructure needs expand due to new projects and implementations.