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Average Ratings 0 Ratings
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.
Description
Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH).
- 360 degree situational awareness® with complete observability of Integration MESH
- Manage configuration, administration and deployment in a secure manner and automate them.
- Track and trace transactions, messages, and flows
- Collect data, monitor performance, and benchmark it
meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
Azure DevOps
BMC Helix CMDB
Broadcom Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Flexera One
IBM App Connect
IBM Db2
Integrations
Apache Kafka
Azure DevOps
BMC Helix CMDB
Broadcom Mainframe Security Insights Platform
Cherwell HR Service Management
Cherwell Software
Citrix Analytics
Flexera One
IBM App Connect
IBM Db2
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
BMC Software
Founded
1980
Country
United States
Website
www.bmc.com/it-solutions/bmc-ami-ops.html
Vendor Details
Company Name
meshIQ
Founded
1994
Country
United States
Website
meshiq.com
Product Features
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling