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features
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support

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Write a Review

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

Experience robust workload automation designed for centralized scheduling of Linux jobs. By automating workflows across various platforms such as Windows, UNIX, Linux, and IBM i systems through a job scheduler, your IT team can dedicate more time to important strategic initiatives that drive business success. Consolidate disconnected job schedules from cron or Windows Task Scheduler into a cohesive enterprise solution. When your job scheduler seamlessly integrates with other essential software applications, it becomes much simpler to grasp the overall landscape, make informed decisions using data organization-wide, and synchronize job schedules effectively. This enhanced efficiency allows you to better achieve your workload automation objectives. The implementation of automated job scheduling not only simplifies your operations but also revolutionizes your business practices. You can create dynamic, event-driven job schedules that consider dependencies, ultimately aligning workflows with your organizational goals. Additionally, Automate Schedule provides a high-availability setup for a primary server alongside a standby server, ensuring that crucial tasks continue uninterrupted even in the event of an outage. Embracing this technology not only streamlines processes but also fosters resilience in your IT operations.

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 Automate No 
Hue Yes 
IBM i No 
IronCore Labs Yes 
JAMS Scheduler No 
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 Automate Yes 
Hue No 
IBM i Yes 
IronCore Labs No 
JAMS Scheduler Yes 
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 Yes 
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/automate-schedule

Product Features

Data Center Management

Audit Trail Yes 
Behavior-Based Acceleration No 
Cross Reference System No 
Device Auto Discovery No 
Diagnostic Testing No 
Import / Export Data Yes 
JCL Management No 
Multi-Platform Yes 
Multi-User Yes 
Power Management No 
Sarbanes-Oxley Compliance Yes 

DevOps

Approval Workflow No 
Dashboard No 
KPIs No 
Policy Management No 
Portfolio Management No 
Prioritization No 
Release Management No 
Timeline Management No 
Troubleshooting Reports No 

Workload Automation

Alerts / Notifications Yes 
Audit Trails Yes 
Business Process Management Yes 
Cross-Platform Scheduling Yes 
Dashboard Yes 
Data Analysis / Visualization Yes 
Event-Triggers Yes 
Load Balancing Yes 
Resource-Based Scheduling Yes 
Robotic Process Automation (RPA) Yes 
Workflow Foundation Support Yes 
Apache Helix Reviews

Apache Helix

Apache Software Foundation