Run with less infrastructure and get better performing apps with the most comprehensive automated optimization solution out there.
Optimize VM density
Right-size resource allocations
Densify’s real-time capabilities provide intelligent, automated response enabling:
Densify analyzes historical intra-day workload patterns and uses these detailed models to predict what a workload will do in the future. This is critical to optimization. If you don't know what a workload will do, you can't drive higher density without incurring lots of risk. Densify uses this insight while considering all the other critical technical and business requirements to uniquely dove-tail workloads in on-premise virtual infrastructure and bare metal cloud. Think of it like a game of Tetris™ where placing the game pieces together properly will safely maximize use of the playing area. Only Densify can play Tetris with your workloads to increase VM density by 48%, reducing hardware requirements by an average of 33%. Playing Tetris also means reduced risk of resource contention, reducing VM motioning and volatility. We call this proactive automated optimization because we not only enable you to increase efficiency, we reduce your risk.
Over-sized VMs are a common area of waste in on-premise virtual infrastructure and bare metal clouds, particularly when self-service models allow users to determine allocations. With its deep analysis of workload patterns, Densify optimizes resource allocations – your workloads get exactly what they need without getting too much. These automated proactive resource allocations are supported by real-time response that enables hot-adds and bump-ups in the event of operational anomalies and resource shortfalls. Densify can also schedule and automate allocation updates (for bump ups and bump downs) when real-time changes are not allowed due to policy or operational constraints.
Densify provides organizations with the best of both worlds—automated proactive optimization to avoid resource contention while increasing efficiency and real-time response for operational anomalies: