Cloud native database development
summary
Shows how an Oracle Cloud setup collects database signals, posts custom metrics from PL/SQL to the PostMetricData API, and charts them alongside built‑in telemetry like 40 autonomous metrics (logons per minute, sessions per hour, logical reads) to drive alarms and automated remediation via scripts or Terraform. Demonstrates dashboards, email notifications and Grafana exports, an always‑free tenancy testbed, and a multicloud pipeline that mirrors observability into Azure — live in 35 regions with Data Guard standby.
AI-written summary · about
chapters (14)
- 0:00Introduction
- 2:26Lift and shift misses cloud
- 5:39DevOps for cloud databases
- 9:13Oracle Cloud observability
- 13:17Custom metrics from database
- 17:40Extending monitoring with APIs
- 20:34Dashboards and Grafana
- 22:07Alarms for proactive detection
- 23:56Monitoring app-database interactions
- 25:00Oracle Azure multicloud
- 28:18Unified monitoring across clouds
- 31:17Closing thoughts
- 32:25Oracle Cloud auth tip
- 33:07Q&A
related talks
14mCloud Native Development with Oracle Database
24mDevOps. Monitoring Databases. On-Premise and Cloud environments
18mMulticloud Development with Microsoft Azure and Oracle Database Cloud
31mCloud Native Observability
28mKubernetes and Microservices with Database
28mCloud Native Tech: The Building Blocks of Modern DB Software
22mSimplify data and event-driven microservices with Oracle Database
32mCloud-Native Data: What is it? - Majors, Dunlap, O’Grady, Richardson, Drewitz
