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features
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support

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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveBatch Workload Automation Yes 
Apache Knox Yes 
Apache PredictionIO Yes 
Apache Ranger Yes 
Astera Dataprep Yes 
Cloudera Data Platform Yes 
DX Unified Infrastructure Management Yes 
Fortra Robot No 
Hue Yes 
IBM i No 
IronCore Labs Yes 
RunCode Yes 
Sematext Cloud Yes 
Terminals Yes 
Velotix Yes 
WINDEV Yes 

Integrations

ActiveBatch Workload Automation No 
Apache Knox No 
Apache PredictionIO No 
Apache Ranger No 
Astera Dataprep No 
Cloudera Data Platform No 
DX Unified Infrastructure Management No 
Fortra Robot Yes 
Hue No 
IBM i Yes 
IronCore Labs No 
RunCode No 
Sematext Cloud No 
Terminals No 
Velotix No 
WINDEV 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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

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

Product Features

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