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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

Vendor

IBM

Company Website

Company Website

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.