Optimize and plan your big data cluster performance and network behavior with Intel® CoFluent™ technology for big data.
Intel® CoFluent™ technology for big data is a planning and optimization solution that predicts cluster performance and network behavior for big data challenges. Intel® CoFluent™ technology for big data helps address common big data cluster design challenges: predicting system scalability, sizing the system, determining maximum hardware utilization, minimizing costs, and predicting system performance. This technology allows you to optimize and plan according to your business needs, and provides a solution to help you minimize IT spending on big data clusters.
Highly configurable and with the ability to simulate clusters in software environments, this technology eliminates the need to set up cluster applications just to identify resource requirements: Determine optimal cluster size; identify optimal storage, I/O, and compute resources; scale up strategy; scale out strategy.
Plan and optimize your big data cluster for faster discovery and quicker resolution of performance bottlenecks: Avoid system over-provisioning; guarantee optimal software settings and performance; maximize ROI.
Dramatically reduce the costs and time it takes to switch from a PoC stage to a scalable production deployment: Predict hardware utilization and software states; predict job execution times against hardware and software changes; accurately simulate hardware, software, and workload variations.
Learn how to meet real-world challenges using Intel® CoFluent™ technology for big data.
Get support for Intel® CoFluent™ studio and Intel® CoFluent™ reader products. Access your self-service portal or submit new cases to customer service.
Submit an inquiry to get information on Intel® CoFluent™ technology and the university program, or to request documentation and downloads.