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Description

YARN's core concept revolves around the division of resource management and job scheduling/monitoring into distinct daemons, aiming for a centralized ResourceManager (RM) alongside individual ApplicationMasters (AM) for each application. Each application can be defined as either a standalone job or a directed acyclic graph (DAG) of jobs. Together, the ResourceManager and NodeManager create the data-computation framework, with the ResourceManager serving as the primary authority that allocates resources across all applications in the environment. Meanwhile, the NodeManager acts as the local agent on each machine, overseeing containers and tracking their resource consumption, including CPU, memory, disk, and network usage, while also relaying this information back to the ResourceManager or Scheduler. The ApplicationMaster functions as a specialized library specific to its application, responsible for negotiating resources with the ResourceManager and coordinating with the NodeManager(s) to efficiently execute and oversee the execution of tasks, ensuring optimal resource utilization and job performance throughout the process. This separation allows for more scalable and efficient management in complex computing environments.

Description

Data center managers strive for their IT teams to operate efficiently, adhere to service-level agreements, and minimize processing mistakes. By utilizing automated job scheduling and batch job management, you enable your operators to enhance their productivity. Robot Schedule serves as an essential tool for any automation initiative that involves IBM i systems. With its robust workload automation features, Robot Schedule empowers users to streamline everything from straightforward jobs to intricate, event-triggered processes across various platforms, all while consolidating management on the dependable IBM i system. Simply set up a schedule for when and how tasks should execute, and the software will handle the execution seamlessly. Given the multitude of responsibilities your operators already manage, they shouldn't have to focus on monitoring scheduled jobs to guarantee timely and orderly execution. Rely on Robot Schedule to deliver effective workload automation, ensuring a smoother and more accurate job schedule. Additionally, you can select from over 25 unique scheduling parameters to tailor the automation to your needs. This flexibility allows for greater customization and adaptability within your operational processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Fortra Robot
Hue
IBM i
IronCore Labs
RunCode
Sematext Cloud
Terminals
Velotix
WINDEV

Integrations

ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Fortra Robot
Hue
IBM i
IronCore Labs
RunCode
Sematext Cloud
Terminals
Velotix
WINDEV

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

Apache Software Foundation

Founded

1999

Country

Uniited States

Website

hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/YARN.html

Vendor Details

Company Name

Fortra

Founded

1982

Country

United States

Website

www.fortra.com/products/job-scheduling-software-ibm-i

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