Workload Management & Automation focuses on running resources only when they are needed, and creating the mechanisms to automatically adjust what resources are running at any given time. This Capability is intended to give FinOps teams the ability to match supply to demand most efficiently, and effectively optimize cloud usage through measurement of workload demand and provisioning capacity dynamically.
description of the characteristics of each maturity level (crawl, walk, run) for this Capability in the context of the organization’s FinOps practice.
written for each persona responsible for the functional activity and processes encapsulated by his Capability. each one should be associated generally to one of the FinOps Phases (Inform, Optimize, Operate). for example:
As a [FinOps Persona], I will [functional activity] so that [desired outcome] is achieved.
Measures of success are represented in the context of cloud costs and may include one or more key performance indicators ( KPI ), describe objectives with key results ( OKR ), and declare thresholds defining outliers or acceptable variance from forecasted trends.
at least one measure of success; should be described in a context of cost; this could be an efficiency KPI or an agreed upon threshold or target.
- idle resource costs will not exceed 3% of total monthly cloud spend
- anomaly costs will not exceed $150/month
the information used that contributes to the measure(s) of success listed above; information here may include specific datasources, reports or any relevant input
Get involved and contribute to the community by sharing your real world experiences related to this Capability in the form of a story or providing a playbook for how you have implemented best practices in your organization. Your real world experiences can be provided in the context of:
Join the conversation about this Capability in Slack . You can submit stories, how-tos and suggest improvements using one of the options for contributing here.