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Average Ratings 0 Ratings
Description
BMC AMI DevX Abend-AID streamlines the process of detecting, analyzing, and diagnosing abends in mainframe applications and systems. Developers often find themselves investing excessive hours in the manual detection and resolution of these issues, but with Abend-AID, these tasks are automated, allowing for quick identification of problems across various environments, which enhances developer productivity significantly. By capturing real-time information from multiple environments, teams can minimize the time and resources spent on troubleshooting mainframe application and system abends, leading to reduced downtime and an overall improvement in the reliability and quality of these applications. This solution seamlessly integrates with both BMC and third-party tools, fostering a smooth workflow that enables developers to efficiently tackle issues as they arise. Furthermore, it offers automated failure notifications via platforms such as Slack, Teams, or ChatOps, complete with links to root cause analyses, thereby accelerating the time to resolution. Ultimately, this comprehensive tool not only simplifies the abend handling process but also enhances collaboration among teams.
Description
IBM® Application Discovery and Delivery Intelligence (ADDI) serves as a powerful analytical tool designed for the modernization of applications. By leveraging cognitive technologies, it efficiently analyzes mainframe applications, enabling users to swiftly uncover and comprehend the interdependencies associated with modifications. This rapid enhancement of mainframe applications can significantly contribute to revenue generation and facilitate quicker returns on investments. Moreover, by improving your understanding of application complexity, ADDI helps you foresee potential issues, thereby reducing application and development costs. The platform allows for the agile evolution of systems and applications, maximizing the benefits of hybrid cloud environments. With enhanced application insights, organizations can boost productivity while minimizing risks, effectively accelerating their digital transformation journey. Furthermore, the platform's rapid analysis capabilities enable users to identify relationships among various components of IBM z/OS® applications, providing clarity on the potential impact of changes. Users can quickly locate essential business rules, code snippets, and APIs, empowering them to optimize their business processes and foster innovation. With ADDI, organizations can confidently navigate their modernization efforts and embrace the future of technology.
API Access
Has API
API Access
Has API
Integrations
BMC COPE
IBM Z
Microsoft Teams
RadiantOne
Slack
Switch Automation
Integrations
BMC COPE
IBM Z
Microsoft Teams
RadiantOne
Slack
Switch Automation
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-devx-abend-aid.html
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/app-discovery-and-delivery-intelligence
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Alternatives
No Alternatives