Data Center Optimization
Measure virtualized data center capacity and performance
Data center virtualization has created significant blind spots affecting the performance and availability of cloud-based application services. Rather than relying on “sizing guides” and legacy best practices that lead to the rollout of insufficient resources, enterprises need an agile, comprehensive, and scalable approach to stressing and validating their virtualized infrastructures.
Using BreakingPoint's easy-to-use, automated products, companies can subject virtual servers and application delivery infrastructures to a range of high-stress conditions, producing a complete playbook for optimizing performance and mitigating the risks of data center consolidations.
By providing companies with visibility into precisely when increasing load begins to impact the performance of applications and services, BreakingPoint allows companies to optimize the allocation of resources appropriately by:
- Stressing virtualized servers using peak-application user load from hundreds of applications to configure virtualized environments for optimal performance and capacity
- Easily and quickly emulating new applications prior to deployment and make the necessary optimizations to deliver the best end-user experience, even under peak load
- Automating iterative testing labs to avoid virtual machine sprawl, bottlenecks, security breaches, and production rollbacks
- Eliminating the complexity and wasted time of traditional testing approaches that employ multiple tools and incompatible interfaces
Learn how companies are using BreakingPoint solutions to optimize their virtualized infrastructure.
Related Resource
Fortune 100 Bank Data Center Optimization Use Case
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