CloudPhysics vs Densify comparison

CloudPhysics continually analyzes your vSphere environment, tracking changes, projecting trends, and proactively surfacing the hot spots you need to pay attention to now – before they cause problems. We deliver unique, meaningful insights that give vSphere administrators the confidence to act boldly to reduce risk and trim waste, without compromising the safety of your virtual infrastructure or the applications it supports.

CloudPhysics is an intuitive, easy-to-use SaaS application. It is rooted in a unique operational analytics platform that drives out risk and cost in your infrastructure, especially in problems related to configuration changes.

Densify is a hybrid cloud and container resource management platform that makes workloads self-aware of their precise resource requirements and automates the resource management and selection process. This solution helps you control your cloud spend and also helps your apps perform and scale better. Densify enables you to match your cloud requirements with the optimal cloud supply. Additionally, Densify is the only technology that leverages patented, predictive machine learning-powered analytics to perform advanced modeling of workload patterns, and provide precise optimization directives. It is ideal for cloud engineers, container platform owners, and IT finance.

Densify works by:

• Establishing application demand patterns that are based on business cycles, seasonality, peaks, valleys, and other variables.
  
  
• Building normalized models of cloud supply and ingesting the entire cloud catalog and latest technologies.
  
  
• Considering numerous factors, such as performance benchmarks, cost, technical rules, tags, and policies. The solution uses business and functional tags, operational realities, and granular policy control.

Densify Features

Densify has many valuable key features. Some of the most useful ones include:

• Integration with management and provisioning systems
• Machine learning-based analytics
• Automated resource optimization
• App owner collaboration
• Tailored efficiency reports
• Observability
• Controllability
• Capacity optimization
• Policy driven, automated governance
• VM placement
• Predictive analytics

Densify Benefits

There are many benefits to implementing Densify. Some of the biggest advantages the solution offers include:

• Automated resource management: Densify provides your organization with automated resource management at scale, with elasticity at an affordable low cost.

• Full stack visibility: The Densify solution offers full stack visibility with improved efficiency by determining container size and node resources.

• Financial visibility: In addition to full stack visibility, one of Densify’s other advantages is that it offers full financial visibility and cost intelligence for both reporting as well as chargebacks.

• Resizing and rebalancing: Densify analyzes your private cloud infrastructure, providing resizing and rebalancing recommendations.

• Helps you choose the right host environment: Densify automatically routes workloads to the best hosting environment based on detailed workload requirements. For workloads not requiring immediate placement, it reserves capacity to ensure it is available when required.

• A true SaaS implementation: Because Densify is a true SaaS implementation, there is no software to maintain or to learn.

• Better for IT finance: The solution is good for IT finance because it collects and analyzes your detailed billing data, giving you visibility into your spending, what services you’re buying, and how to better manage your costs. In addition, it can also generate reports that cover your spending and your utilization of reservations and reserved instances and savings plans.

• Reduce risk and costs: Machine learning-based analytics help your organization optimize consumption to eliminate waste and overprovisioning while ensuring performance.

• Cost-efficient: The Densify solution is cost-efficient, helping you drastically reduce per-processor software license costs by placing workloads intelligently.