Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
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
No
Diagnostic Tools
No
Full Transaction Diagnostics
No
Performance Control
No
Resource Management
No
Root-Cause Diagnosis
No
Server Performance
No
Trace Individual Transactions
No
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No