Improve systems management, IT operations, application performance and operational resiliency with AI on the mainframe
AIOps for IBM Z® is a powerful technology approach that combines automation with artificial intelligence (AI) and machine learning algorithms. Tailored specifically to streamline mainframe systems management and operations, it uses automation to detect and analyze events and anomalies within complex IT environments.
It is crucial for companies facing the challenges of intricate IT environments, as it streamlines operations and enables quick issue resolution. By swiftly identifying potential issues, isolating problems, analyzing root causes and expediting issue resolution, AIOps for IBM Z allows teams to focus more effectively on driving business outcomes.
Monitor hybrid applications and infrastructure proactively.
Use all data sources to analyze anomalies, isolate problems and identify root causes.
Deploy automation to enhance collaboration for faster incident resolution.
Monitor hybrid infrastructure and applications and detect issues and anomalies.
Identify poorly performing tasks quickly for faster resolution with full-stack monitoring for early detection for IBM Z incidents.
Avoid blind spots in application observability with end-to-end transaction tracing including z/OS® resources.
- Explore IBM Instana Observability
- Explore IBM Z Integration for Observability
- Explore IBM Z APM Connect
Proactive incident detection with real-time AI and machine learning operational anomaly analytics.
Analyze issues and anomalies to isolate problems and identify root causes.
Access, curate and analyze operational data to help understand and optimize system performance.
Accelerate hybrid incident identification with real-time operational analytics.
Get visibility into the interactions and dependencies, and correlate anomalous activities across z/OS subsystems.
Understand operational costs and make capacity decisions that align with business goals and forecasts.
Rapidly respond to reduce the impact on the clients with improved resiliency.
End-to-end, goal-driven and policy-based system automation for a consistent and reliable automation across the enterprise.
End-to-end workload automation with embedded predictive scheduling for SLA management cross enterprise.
Machine aided storage resource management and automated storage tasks across the enterprise for improved SLAs.
Improve business resiliency and reduce risk by offering immediate insight into data inter-dependencies and vulnerabilities.
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 AIOps Corner podcast which provides a venue for advocates of AIOps on IBM Z to share their success stories.