Resource Control for DevOps
Relieve Developers From The Burden Of Estimating or Guessing
Correct Resource Requirements
Despite mature DevOps processes, most organizations leave the critical element of specifying resources up to best efforts and estimates. No different than the quality of code, resource specifications have a direct impact on performance, reliability and cost.
Don’t leave it to guesswork.
Densify enables an analytics driven approach to Resource Control that can be embedded in the DevOps lifecycle:
- Precision analytics that examine workloads deeply and constantly to inform devs and app owners of the right resource specifications for every workload
- Guardrails can reduce instance choices to only the subset of optimal instances for every workload
- Integrate into processes and workflows in ways that that can continuously automate the setting of resources or cloud instances
1. Analyze detailed utilization patterns against cloud instance and container configurations, using sophisticated policies, to recommend optimal resource settings.
2. Provide recommended instances for every workload via an intuitive catalog map. Go further via Guardrails to show a limited set of optimal choices from a cost and performance perspective.
3. Integrate with tools like Terraform using the Densify API to enable seamless execution of resource optimization recommendations, fully honoring approval processes.
4. Detect and eliminate operational risks and waste by automatically identifying sub optimal cloud instances, poorly performing scale groups, and misconfigured container requests and limits.
