Flexible Guardrails Encourage and Enforce the Right Instance Choices
Densify Embedded Cloud Resource Control enables FinOps teams to intelligently limit instance choices for every workload to only those that make sense.
Machine learning analyzes each workload against the entire cloud catalog and selected policies unique to the organization or application to establish guardrails for every workload.
Guardrails encourage good decisions while discouraging the selection of instances that should be avoided by quickly showing a developer or app owner instances that are:
Too small for a workload to perform well
Not a technical fit due to requirements such as GPUs, local disks, or the right amount of network interfaces
Too costly based on tunable ‘spend tolerance’ that scores the cost of each instance against the most cost effective option
Good candidates for hosting your workload as they meet all performance, technical, and financial constraints
Empower Engineers
Avoid having to hassle Engineers about instance selection and optimization:
- Provide freedom to select from instance types that meet all performance and technical requirements, while staying within financial requirements
- Minimize interruptions by only notifying when outside of guidelines
Avoid performance issues caused by technically incompatible or underperforming instances
Catalog Map showing Guardrails for a database deployed on an AWS RDS instance
Visualizing the impact of changing the Spend Tolerance guardrail for an application deployed on an Azure VM (Catalog Map filtered to only show commonly used instance types)
Empower FinOps
Increase the cost efficiency of cloud by:
- Implementing guardrails, in partnership with Engineers, to ensure that financial efficiency is achieved without inhibiting speed
- Helping Engineers avoid problems caused by performance issues due to sub optimal instance choices
- Enabling a ‘Spend Tolerance’ guardrail that highlights when an instance costs more than an agreed upon overage tolerance
Seamless Integration with Policy Frameworks
Densify integrates with your existing policy frameworks, such as Hashicorp Sentinel, Azure Policy, and AWS Config to ensure that deployed workloads comply with your organization’s resource requirement guidelines.
- Take advantage of policy framework ability to automate notifications, or block deployments, when an instance type is outside agreed upon guidelines
- Extend existing frameworks already used for security and other compliance use cases, to easily introduce resource-based guardrails
