BMC AMI Ops Description

BMC AMI Ops is a mainframe AIOps and observability solution designed to help enterprises modernize operations, improve resilience, and reduce operational cost. The platform gives teams centralized visibility across mainframe systems, subsystems, applications, networks, storage, databases, batch workloads, and messaging environments. It helps operations teams detect issues earlier, reduce mean time to detect, avoid downtime, and maintain high service availability. BMC AMI Ops uses self-learning AI and machine learning models to continuously adapt to system behavior and improve anomaly detection accuracy. Embedded GenAI translates findings into context, impact, and guided remediation so teams can understand what happened and what to do next from inside the dashboard. The platform also supports OpenTelemetry-compliant streaming, allowing mainframe telemetry to connect with enterprise observability tools. BMC AMI Ops includes capabilities for CICS performance control, Db2 optimization, IMS visibility, MQ message management, Java workload monitoring, batch optimization, network visibility, storage oversight, and cost analytics. Automation features help reduce manual tasks, improve operational consistency, and lower CPU and MIPS consumption. By combining AI-driven monitoring, observability, automation, alert consolidation, and remediation guidance, BMC AMI Ops helps mainframe teams operate critical systems more efficiently and reliably.

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Company Details

Company:
BMC Software
Year Founded:
1980
Headquarters:
United States
Website:
www.bmc.com/it-solutions/bmc-ami-ops.html
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