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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
Integrations
ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Fortra Robot
Hue
IBM i
IronCore Labs
Integrations
ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Fortra Robot
Hue
IBM i
IronCore Labs
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