AIOps for IBM Z

Improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe

Illustration of a person accessing data on a touchscreen connected to systems and applications

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:

  • Predict events to reduce outages: Monitor hybrid applications and infrastructure proactively.
  • Speed problem determination: Use all data sources to analyze anomalies, isolate problems and identify root causes.
  • Minimize customer impact: Deploy automation to enhance collaboration for faster incident resolution.
AIOps for IBM Z framework
Read the best practices guide
Detect

Monitor hybrid infrastructure and applications and detect issues and anomalies.

Decide

Analyze issues and anomalies to isolate problems and identify root causes.

Act

Rapidly respond to reduce the impact on the clients with improved resiliency.

Solutions
Monitoring

Identify poorly performing tasks quickly for faster resolution with full-stack monitoring for early detection for IBM Z incidents.

Observability

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.

Performance analysis and optimization

Maximize application performance analysis and infrastructure availability through AI-assisted health and risk detection and optimize performance, workload, cost and capacity.

Automation

End-to-end, goal-driven and policy-based system automation. Intelligent workload automation with embedded predictive scheduling, automated configuration and provisioning.

Software asset management

Understand software inventory and make license decisions that align with business goals and forecasts.

Backup resiliency

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.

Unified operations and IT resiliency management

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.

Case studies
A man completing a banking transaction
Discover how Banco de Brasília transformed its digital banking experience with IBM Z Service Management Suite.
A woman uses her laptop and credit card to complete an online purchase
Discover how Bankdata fine-tunes development and operations with IBM Z OMEGAMON Data Provider.
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Discover how Legal & General modernized its core systems to improve operational efficiency and enhance customer experiences.

Resources

Experience hands-on trials of IBM Z software at no charge and with no installation required.
Browse videos showing how IBM AIOps revolutionizes IT operations with AI-driven insights to predict and prevent issues before they impact your business.
Listen to the AIOps Corner podcast, which provides a venue for advocates of AIOps on IBM Z to share their success stories.
Take the next step

Understand how to improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe. 

Best practices for AIOps
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