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Average Ratings 0 Ratings
Description
IBM Z System Automation is an application built on NetView that serves as a centralized hub for managing a comprehensive array of system management tasks. Its significance lies in delivering advanced automation solutions tailored for enterprise needs. By efficiently monitoring, controlling, and automating a wide variety of system components, it encompasses both hardware and software resources throughout the organization. This policy-driven, self-healing, and high-availability solution is specifically aimed at enhancing the performance and uptime of vital systems and applications. Moreover, it minimizes the workload associated with administrative and operational tasks, lowers the need for customization and programming, and streamlines the time and costs required for automation implementation, particularly in environments using Parallel Sysplex and policy-driven automation. Furthermore, the seamless integration with Geographically Dispersed Parallel Sysplex (GDPS) equips IBM Z System Automation with advanced disaster recovery functionalities, ensuring robust protections for IBM Z systems against potential failures. Overall, its multifaceted capabilities make it an indispensable tool for modern enterprises reliant on high availability and efficiency.
Description
Failover Clustering in Windows Server (and Azure Local) allows a collection of independent servers to collaborate, enhancing both availability and scalability for clustered roles, which were previously referred to as clustered applications and services. These interconnected nodes utilize a combination of hardware and software solutions, ensuring that if one node encounters a failure, another node seamlessly takes over its responsibilities through an automated failover mechanism. Continuous monitoring of clustered roles ensures that if they cease to function properly, they can be restarted or migrated to uphold uninterrupted service. Additionally, this feature includes support for Cluster Shared Volumes (CSVs), which create a cohesive, distributed namespace and enable reliable shared storage access across all nodes, thereby minimizing potential service interruptions. Common applications of Failover Clustering encompass high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. This functionality is available on Windows Server versions 2016, 2019, 2022, and 2025, as well as within Azure Local environments, making it a versatile choice for organizations looking to enhance their system resilience. By leveraging Failover Clustering, organizations can ensure their critical applications remain available even in the event of hardware failures.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Active Directory
No
Ansible
Yes
Apache Kafka
Yes
IBM Z
Yes
JSON
Yes
Mattermost
Yes
Microsoft 365
No
Microsoft Azure
No
Microsoft Hyper-V
No
Microsoft Teams
Yes
Integrations
Active Directory
Yes
Ansible
No
Apache Kafka
No
IBM Z
No
JSON
No
Mattermost
No
Microsoft 365
Yes
Microsoft Azure
Yes
Microsoft Hyper-V
Yes
Microsoft Teams
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
Yes
Mac
Yes
Linux
Yes
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
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/z-system-automation
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
learn.microsoft.com/en-us/windows-server/failover-clustering/failover-clustering-overview