Improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe
AIOps for IBM Z® combines automation with artificial intelligence (AI) and machine learning to streamline mainframe systems management. It detects and analyzes events and anomalies across complex IT environments, making operations more efficient.
It helps companies manage intricate IT environments by quickly identifying potential issues, isolating problems, analyzing root causes and speeding resolution. AIOps for IBM Z allows teams to focus on driving business outcomes.
AIOps can solve many IT challenges:
Monitor hybrid infrastructure and applications and detect issues and anomalies.
Analyze issues and anomalies to isolate problems and identify root causes.
Rapidly respond to reduce the impact on the clients with improved resiliency.
Identify poorly performing tasks quickly for faster resolution with full-stack monitoring for early detection for IBM Z incidents.
Integrate z/OS into enterprise-wide observability platforms to provide end-to-end visibility of applications and underlying infrastructure. Support adoption of the OpenTelemetry standard to deliver Al-assisted issue detection and resolution.
Maximize application performance analysis and infrastructure availability through AI-assisted health and risk detection and optimize performance, workload, cost and capacity.
End-to-end, goal-driven and policy-based system automation. Intelligent workload automation with embedded predictive scheduling, automated configuration and provisioning.
Understand software inventory and make license decisions that align with business goals and forecasts.
End-to-end backup and recovery for data that uses real‑time analytics to pinpoint critical datasets, map dependencies and enable surgical recovery within minutes.
Simplify IT operations management for mainframe with AI-powered efficiency and AI-assisted chat operations. Manage incidents risk and resiliency and ensure security and compliance.