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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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.

Description

JOPAZ enhances mainframe efficiency by intelligently reallocating processing resources through optimized COBOL workload distribution. This innovative solution empowers businesses to maximize their capabilities on IBM Z, where COBOL applications continue to drive essential operations supported by the platform's inherent resilience, security, and scalability. As workloads increase and general processor capacity becomes limited, JOPAZ effectively redistributes application tasks to the IBM z Integrated Information Processor (zIIP) by converting COBOL source code into Java bytecode. This strategic shift alleviates high-utilization demands on general processors, thus freeing up crucial resources while simultaneously boosting efficiency and performance. Moreover, it creates additional capacity for critical projects without necessitating any modifications to existing code. JOPAZ enables teams to retain their COBOL applications, mitigate COBOL workload pressure on general processors, sidestep data migration challenges, and uphold source code management using familiar development tools, allowing for a smooth and seamless operational transition. Ultimately, this approach ensures that organizations can focus on innovation while maintaining the integrity of their legacy systems.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Z
COBOL
RadiantOne
Switch Automation

Integrations

IBM Z
COBOL
RadiantOne
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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/app-discovery-and-delivery-intelligence

Vendor Details

Company Name

Software AG

Country

Germany

Website

www.softwareag.com/en/jopaz/

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

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