Looking to get more out of your cloud services? Here are the most popular cloud management and optimization products and what each can do for you.
|Densify||CloudHealth (VMware)||Turbonomic||CloudCheckr||Cloudability||vRealize Operations (vROps)|
|Private Cloud Capacity|
|Supported Optimization Technologies|
|Instance Family Optimization|
|Scaling Group Optimization|
|Reserved Instance Optimization|
|Optimization as Code|
|Amazon EKS||Azure Kubernetes Service (AKS)||Google Kubernetes Engine (GKE)|
|Functionality of Technology|
|Application Demand Modeling|
|Cloud Supply Normalization|
|Proactive Resource Matching|
|Automatic Workload Adjustments|
|Workload Tagging of Optimization Output|
|Cloud Migration Analysis/Planning|
|Features & Services|
|Built-In Business Intelligence Reporting|
|App Owner Report|
|Policy-Based Cost Control|
Densify leverages patented, predictive analytics that perform advanced modeling of workload patterns to give precise, automatable cloud cost results—not naive suggestions. This means we truly align cloud supply and demand, and perform sophisticated optimization scenarios for your cloud environments that others simply can’t.
Densify analysis starts with a learning step, where historical data is used to establish a baseline operational envelope for cloud workloads. Using historical workload data is very important, as cloud optimization recommendations must account for cyclical loads such as month end and quarter end peaks, as well as time-of-day patterns, such as start-of-day peaks or overnight batch jobs. Many cloud management products focus on the bill, not the actual workloads, and even if they do they work with averages that obscure the detail and result in the wrong answers being given. And that means more cost and risk for your cloud workloads.
A critical part of workload pattern is normalizing the data using benchmarks, so the actual work being done can be analyzed against the service offerings of the cloud providers. Understanding the detailed configurations and performance characteristics of the hardware underlying the cloud offerings is also critical to this, and makes the difference between vague recommendations, like “consider making that instance smaller”, to specific, actionable optimization actions, like “make that c3.xlarge instance a c4.large”
Densify is the only offering with the ability to normalize workload data between cloud offerings and instance classes. This is key to modernizing and choosing the right class of instance for your workloads—a big driver of cost savings. Analysis shows that making adjustments within the same instance class typically yields a 15-20% reduction, but being able to precisely analyze across classes gives 35-40% savings. You cannot do this unless you normalize the data using benchmarks.
Optimization is not a onetime thing. Cloud environments are constantly changing and growing, and what is optimal for today may not be optimal for tomorrow. Densify provides the ability to look into the future and model what is going to happen, both by analyzing the trends in the data and modeling application growth, deployments and other planned changes. This means you can stay ahead of the game and keep your applications running smoothly. And if you use reserved instances (RIs) it means you don’t lock into a set of services that can’t take you where you need to go.
Densify also enables pattern-based workload stacking, enabling you to take advantage of bare metal cloud offerings and container-based hosting models. This ability to "play Tetris®" with workloads and dovetail workload patterns means that you can sweat your cloud assets while reducing resource contention, and can only be done by Densify.