You will never optimize your use of cloud resources by only focusing on the bill. Incorrect resource specifications can be a disaster in the cloud:
Densify uses a unique approach to solve all of this, combining machine learning and deep analytics to automate the process of determining the ideal instance types and resource specifications for your cloud-based infrastructure, ensuring the optimal balance of performance and cost.
Densify’s machine learning analyzes workload patterns to determine the optimal size and family for your compute and database instances, enabling you to:
Densify analyzes the utilization and scaling behavior of Auto Scaling groups (ASGs) and performs simulations to determine their optimal configuration, enabling you to:
Densify combines detailed analysis of thousands of entities into a dynamic view of the scope, efficiency, and health across all your cloud environments. This lets you:
Densify automatically produces Impact Analysis and Recommendation Reports to share with stakeholders, letting you:
Densify’s precise resource specifications integrate seamlessly into your deployment pipeline to automate the selection of instance types and scaling parameters for your cloud infrastructure, so you can: