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What is IBM Z System Automation?

IBM Z System Automation is an application developed on the NetView platform that acts as a centralized hub for overseeing a vast range of system management activities. Its importance is highlighted by its provision of sophisticated automation solutions that are customized for the needs of enterprises. By adeptly monitoring, controlling, and automating an extensive array of system components, it addresses both hardware and software resources within the organization. This self-healing, policy-driven, and high-availability solution is specifically designed to enhance the performance and uptime of critical systems and applications. Furthermore, it significantly reduces the administrative and operational burden, diminishes the necessity for extensive customization and programming, and accelerates the time and costs associated with implementing automation, particularly in environments utilizing Parallel Sysplex and policy-driven automation. Additionally, its seamless integration with Geographically Dispersed Parallel Sysplex (GDPS) endows IBM Z System Automation with sophisticated disaster recovery capabilities, providing robust safeguards for IBM Z systems against potential disruptions. Overall, its diverse functionalities render it an essential asset for contemporary enterprises that depend on high availability and operational efficiency. In a rapidly evolving technological landscape, such tools are crucial for maintaining competitive advantage and ensuring uninterrupted business operations.

What is Appvance?

Appvance IQ (AIQ) significantly enhances productivity and reduces costs associated with test creation and execution. It provides both AI-powered fully automated tests and third-generation codeless scripting options for developing tests. The scripts generated undergo execution via data-driven functional and performance testing, including app-pen and API assessments for both web and mobile applications. With AIQ's self-healing technology, you can achieve comprehensive code coverage using only 10% of the effort that traditional testing methods demand. Moreover, AIQ identifies critical bugs automatically, requiring very little intervention. There is no need for programming, scripting, logs, or recording, simplifying the overall testing process. Additionally, AIQ readily integrates with your current DevOps frameworks and tools, streamlining your workflow even further. This seamless compatibility enhances the efficiency of your testing strategy and overall project management.

Media

Media

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Azure DevOps Server
Bamboo
Capgemini Intelligent Automation Platform
Cognizant
Deloitte Cascade Suite
Dynatrace
Git
Google Cloud Platform
JSON
Jenkins
Mattermost
Microsoft Azure
Microsoft Teams
New Relic
OpenStack
Slack
Splunk AppDynamics

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Azure DevOps Server
Bamboo
Capgemini Intelligent Automation Platform
Cognizant
Deloitte Cascade Suite
Dynatrace
Git
Google Cloud Platform
JSON
Jenkins
Mattermost
Microsoft Azure
Microsoft Teams
New Relic
OpenStack
Slack
Splunk AppDynamics

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/z-system-automation

Company Facts

Organization Name

Appvance.ai

Date Founded

2012

Company Location

United States

Company Website

www.appvance.ai/

Categories and Features

Categories and Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

Mobile App Testing

Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing

Performance Testing

API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

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