BMC AMI Datastream for Ops

Enterprise-wide visibility. Achieve 360-degree operational visibility. Dispersed data are now centralized in a single console, empowering mainframe operators and security analysts to see the full context of operations.

Performance & operations analytics. Monitor and diagnose operational problems leveraging external analytics that can detect both out-of-the-box and customized use cases.

Database activity monitoring. Scan and monitor essential CICS^® and IMS^TM operations data, detecting issues in real time so you can troubleshoot sooner.

Two Streaming Paths — One Unified View. Use OTel-native streaming for open observability platforms or take advantage of tool-optimized integrations—either way, Datastream makes your mainframe metrics visible across the enterprise.

Real-time streaming. Switching from batch intervals to real-time data streams minimizes detection and response times. The ability to detect performance issues in seconds, versus a batch interval, can be the difference between responding effectively to a potential incident—or missing it altogether.

Data filtering. Receive only the data you need, so you can minimize resource consumption and storage requirements, reducing overall cost.

Flexible delivery formats. Stream data in OpenTelemetry Protocol (OTLP) for standards-based pipelines, or use out-of-the-box integrations formatted for Splunk, Elastic, and BMC Helix.

Critical system monitoring. Monitor critical systems, such as z/OS, CMF, z/OS for UNIX, CICS, IMS, Db2, MQ, IP, and Java environments, for performance issues and to prevent downtime. Now supporting metrics.

Minimal resource consumption. Consuming only necessary resources keeps impact to the mainframe low, safeguarding uptime and productivity.

OpenTelemetry metrics streaming: Send z/OS, Db2, IMS, CICS, MQ, IP, Java, CMF, and USS Ops data in OTLP format to observability platforms like Grafana, Prometheus, Splunk, and more—using an OTel Collector for unified analysis.

Standards-based pipelines: Enables seamless integration with distributed observability tools