As data centers virtualize a greater number of resources and scale for more workloads, two tasks become critical to ensure application performance: performance monitoring and capacity planning. Whether these servers are physical or virtual, performance monitoring is crucial to ensure that hardware can handle the workload, and capacity planning tools and techniques enable you to plan for peak loads and adjust for predicted changes in demand. In this series on monitoring and capacity planning, we explore the tools and best practices available to optimize a data center/private cloud environment and forestall performance issues.
Chapters Available For Free Access
As an increasing number of workloads get virtualized and moved to cloud environments, application performance becomes a perennial concern. As a ...
This chapter evaluates server performance monitoring tools for IT pros who are considering investing in new products to help record, analyze and ...
As data centers continue to virtualize resources and move to the cloud, server capacity planning poses new challenges and opportunities. While trends...
Tips and Tutorials
- Green data centers fail to live up to cost-savings promise
- NSA issues highlight need for renewable data center power planning
- New York Times article on data center power consumption draws ire
- Low-power server market awaits 64-bit ARM chips and ARM-based servers
- Overheard at the Red Hat Summit: Nyancat and the cloud
More Premium Content Accessible For Free
Workload automation and streamlined management are essential to support fast-changing business applications and a hybrid or private cloud computing ...
Conventional x86 processors try to do everything, but they are power hungry and performance inefficient. Stripping down processors to get the ...
Cloud services and data could be located anywhere -- and that's a scary proposition for many enterprises, especially after ongoing revelations of ...