IBM Db2 AI for z/OSIBM
Learn how to improve the operational performance of Db2 for z/OS subsystems and how to optimize application performance using machine learning technology.
Vendor
IBM
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Product details
Enhance Db2 for z/OS efficiency, health and performance
IBM Db2 AI for z/OS embraces autonomics to simplify database management efforts through built-in domain expertise. Leveraging machine learning and AI, it can help improve operational performance and maintain Db2 for z/OS efficiency and health while enhancing Db2 for z/OS performance, reliability and cost effectiveness–even under the most demanding circumstances.
Features
Apply AI to operational processes
- Distributed connection control - Provide enhanced hybrid cloud reliability - Protect Db2 for z/OS from unintentional disruptions and intrusions that may originate from remote applications.
- Systems performance assessment - Uncover root causes of performance issues - Quickly prevent and resolve system anomalies, analyze Db2 systems, improve database performance and help reduce the need for costly optimizing and tuning applications.
- Enhanced optimizer path selection - Reduce DBA time and simplify performance management - Save DBA’s up to 30% of their time by managing application performance and queries more effectively and efficiently.
- Sysplex support and simplified migration - Minimize downtime - Gain enhanced high-availability support for business-critical and large workloads to help eliminate single point of failure.
Benefits
- **Reduce CPU consumption: **Lower CPU resources and maintain enterprise-level resiliency and availability.
- **Improve application performance: **Optimize SQL query path, sort and SQL concurrency for reduced workload and better performance.
- **Enhance resiliency: **Avoid disruptions, uncover the root causes of database performance issues and identify performance improvement opportunities.