Cloud service providers like Oracle specify costs at an individual, technical level, while the business is responsible for functional environments, and engineers often have little to no visibility into costs. The challenge is to present data in a way that enables the business, procurement, and engineering teams to see the same information and make informed decisions.
Oracle provides an interface (API) to automate the collection of metadata from individual services. By enriching and grouping the metadata, and analysing it with AI models, a comprehensive view of historical, current, and future cloud consumption at the functional level is created.
Oracle Cloud provides the ability to turn services on and off and partially employs automatic scaling. The OCI Cost Manager adds an extra layer by grouping individual services into logical environments, such as "development" or "production."
The OCI Cost Manager is built on advanced computational models that continuously monitor the behaviour of your environment. The generated data is automatically analysed using machine learning.
The behaviour of your environment is translated into a computational model, allowing consumption to be predicted. If this prediction deviates from the historical baseline, you will receive an alert.
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