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Monitor Oracle AI Database across clouds with Datadog

Blog post from Datadog

Post Details
Company
Date Published
Author
Ellie Cohen, Cody Murray-Bruce
Word Count
1,149
Company Posts That Month
23
Language
English
Hacker News Points
-
Post removed?
No
Summary

Datadog supports Oracle AI Database deployments on AWS, Azure, and Google Cloud through dedicated cloud sub-integrations that provide more than 50 built-in metrics and dashboards, helping organizations monitor Oracle databases colocated with cloud applications. Its Database Monitoring, Application Performance Monitoring, and Cloud Cost Management products combine database, application, infrastructure, logs, and cost data to address visibility gaps that can complicate performance troubleshooting, cloud migrations, and cross-provider cost attribution. Database Monitoring and Bits Chat can analyze workload metrics, query samples, execution plans, and logs to identify root causes such as inefficient query plans and recommend fixes, while APM links application requests to the underlying database activity to validate performance after migration. Cloud Cost Management normalizes OCI and cloud-provider billing data using FOCUS tags, correlates database costs with resource and application usage, and supports rightsizing, team-level attribution, budget tracking, and cost anomaly alerts.

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