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公式動画&関連する動画 [Oracle Database: Release and Maintenance Strategies]
Plan Oracle Database upgrades and patching with a predictable release model built for security, availability, and stability.
Read the case study to see how teams modernize maintenance across on-premises and cloud: https://social.ora.cl/6000hvW5p
Oracle Database supports mission-critical systems across industries where stability, availability, and security matter every day. In this session, Anjala Mangal, Oracle Senior Vice President, Database Sustaining Engineering and Diagnostic Technologies, and Hema Ramamurthy, Oracle Senior Vice President, Database Engineering and Program Management, explain the Oracle Database release model and what it means for planning, risk management, and ongoing operations. The video breaks down major releases, quarterly release updates delivered on a regular schedule, and monthly updates for urgent business-critical and security fixes, many of which can be applied online to reduce or eliminate downtime. It also introduces long-term release updates that extend support for a designated quarterly release update for 18 months, helping you standardize patching while keeping disruption low. You will also hear how Oracle AI Database 26ai builds AI into the database and supports flexible deployment across on-premises and cloud environments, along with maintenance improvements such as rolling updates for Oracle Real Application Clusters. The session closes with an inside look at predictive and preventative maintenance, including integrated capabilities that help monitor health, analyze performance trends, and keep your environment current with reliable updates.
00:00:00 Welcome and why releases matter
00:01:28 Release model principles
00:02:56 Release model in practice
00:03:48 Monthly patches (MRPs)
00:04:15 Long-term release updates
00:05:22 26ai replaces 23ai
00:06:04 New 3-digit versioning
00:06:57 26ai: three cornerstones
00:07:55 26ai key AI features
00:08:31 Patching improvements in 26ai
00:09:28 Deployment and management choices
00:10:37 Product quality focus
00:12:08 Testing pyramid and AI
00:14:31 Cloud-scale learning benefits
00:16:29 Support timeline updates
00:17:14 Predictive maintenance strategy
00:19:00 Integrated tools for reliability
00:20:29 Update cadence overview
00:20:51 Quarterly release updates (RUs)
00:21:26 Monthly recommended patches
00:22:28 Long-term RUs and advisor
00:24:36 Autonomous patching overview
00:24:56 Early access patch preview
00:25:37 Zero-regression SLO
00:26:04 Monitoring and incident automation
00:27:12 Aviator program and onboarding
00:28:29 Production rollout and mitigation
00:29:59 Online patching at scale
00:31:04 Fleet scale and closing remarks
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