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features
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support

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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

Red Hat Advanced Cluster Management for Kubernetes allows users to oversee clusters and applications through a centralized interface, complete with integrated security policies. By enhancing the capabilities of Red Hat OpenShift, it facilitates the deployment of applications, the management of multiple clusters, and the implementation of policies across numerous clusters at scale. This solution guarantees compliance, tracks usage, and maintains uniformity across deployments. Included with Red Hat OpenShift Platform Plus, it provides an extensive array of powerful tools designed to secure, protect, and manage applications effectively. Users can operate from any environment where Red Hat OpenShift is available and can manage any Kubernetes cluster within their ecosystem. The self-service provisioning feature accelerates application development pipelines, enabling swift deployment of both legacy and cloud-native applications across various distributed clusters. Additionally, self-service cluster deployment empowers IT departments by automating the application delivery process, allowing them to focus on higher-level strategic initiatives. As a result, organizations can achieve greater efficiency and agility in their IT operations.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Ansible Yes 
Amazon Web Services (AWS) No 
Apache Kafka Yes 
IBM Cloud No 
IBM Z Yes 
JSON Yes 
Kubernetes No 
Mattermost Yes 
Microsoft Azure No 
Microsoft Teams Yes 
Red Hat OpenShift No 
Slack Yes 

Integrations

Ansible Yes 
Amazon Web Services (AWS) Yes 
Apache Kafka No 
IBM Cloud Yes 
IBM Z No 
JSON No 
Kubernetes Yes 
Mattermost No 
Microsoft Azure Yes 
Microsoft Teams No 
Red Hat OpenShift Yes 
Slack No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
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

Red Hat

Founded

1993

Country

United States

Website

www.redhat.com/en/technologies/management/advanced-cluster-management

Product Features

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