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Oracle Cloud Infrastructure Operations Insights
Operations Insights enables administrators to uncover performance issues, forecast consumption, and plan capacity using machine-learning based analytics on historical and SQL data. Organizations can use these capabilities to make data-driven decisions to optimize resource use, proactively avoid outages, and improve performance.
Plan capacity needs, uncover systemic performance issues.
Explore Oracle Cloud Infrastructure Operations Insights
Capacity planning
Analyze and forecast database resource consumption with up to 25 months of historic data using machine-learning-based forecast models. Automated daily forecasting predicts capacity utilization issues.
- Forecast database resource demand and usage trends using 25 months of data
- Improve forecasting with machine-learning-based, linear forecast models
- Predict capacity use issues with automated daily forecasting
- Quickly identify the largest, most utilized, and fastest growing databases
- Reduce costs by identifying under-utilized servers to repurpose
- Estimate the opportunity cost of highly variable CPU demand
- Assess opportunities for using autonomous CPU auto-scaling
Maximize performance
Oracle SQL warehouse stores 25 months of SQL performance data for trend and performance analysis. Proactively identify performance issues or top resource consumption SQL with automated insights.
- Proactively identify SQL issues with automated insights into SQL performance
- Automatically reveal common patterns in SQL behavior across databases
- Automatically view top resource-consuming SQL
- Quickly identify degraded and unpredictable performance
- Analyze application inefficiency and plan volatility
- Compare SQL performance across databases (production, development, test)
Operations Insights customer successes
Kingold chose Oracle's observability and management solution to watch over the most important applications in their respective Cloud environments.
Operations Insights use cases
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Capacity planning reduces issues with improved utilization
Avoid near-term capacity issues from fast-growing entities using machine-learning–based forecasting.
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Quickly identify degraded and unpredictable SQL performance
Proactively identify performance issues or top consumption SQL with automated insights.
Resources
Access Operations Insights Documentation
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