Observability is crucial for gaining visibility into enterprise distributed applications. It supports application problem detection and root cause analysis, positively affecting customer experience and continuous delivery.

Mainframe data is a major part of your enterprise portfolio and can have a significant impact on distributed application performance. The challenge is that mainframe telemetry data is frequently siloed away from DevOps teams and isn’t visible for application performance monitoring (APM), problem detection and root cause analysis.

This webinar discusses how the z/IRIS solution uses OpenTelemetry standards, APM traces, metrics and time-series databases to integrate mainframe performance data with popular enterprise monitoring and observability solutions such as AppDynamics, IBM (Instana), New Relic, Splunk and Sumo Logic.

You’ll learn how to:

• Create a modern, scalable real-time mainframe streaming framework using OpenTelemetry, traces and metrics to feed application performance monitoring solutions
• Enable any enterprise monitoring tool to process mainframe performance data
• Determine which typical mainframe use cases can be monitored, analyzed and diagnosed for root cause analysis in enterprise monitoring systems
• Store mainframe metrics in a preconfigured InfluxDB time-series database for additional mainframe monitoring scenarios