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What is EasyCron?

EasyCron offers extensive support for standard cron expressions that are commonly used in various cron systems like Cronie, Vixie cron, and the Quartz java scheduler. Users have the flexibility to schedule their cron jobs using three distinct methods: by setting intervals, utilizing cron expressions, or opting for manual selection. As scripts execute at scheduled intervals, they may generate output, and EasyCron features a logging system that archives this output for future reference. Once a cron job is created, users can view a list that shows the predicted dates and times for upcoming executions, termed run-time prediction. In the event that a cron job fails to run, EasyCron keeps distinct failure logs that remain intact and separate from the logs of successful runs, facilitating easy access to records of any failures. Moreover, EasyCron allows users to customize HTTP headers for their cron job requests, which can support HTTP basic authentication, API authentication, or other server instructions. This capability not only enhances the security of cron job operations but also improves the overall efficiency of interactions with external services. Lastly, the platform's robust features ensure that users can effectively manage their cron jobs while maintaining clear visibility into their performance metrics.

What is Apache Hadoop YARN?

The fundamental principle of YARN centers on distributing resource management and job scheduling/monitoring through the use of separate daemons for each task. It features a centralized ResourceManager (RM) paired with unique ApplicationMasters (AM) for every application, which can either be a single job or a Directed Acyclic Graph (DAG) of jobs. In tandem, the ResourceManager and NodeManager establish the computational infrastructure required for data processing. The ResourceManager acts as the primary authority, overseeing resource allocation for all applications within the framework. In contrast, the NodeManager serves as a local agent on each machine, managing containers, monitoring their resource consumption—including CPU, memory, disk, and network usage—and communicating this data back to the ResourceManager/Scheduler. Furthermore, the ApplicationMaster operates as a dedicated library for each application, tasked with negotiating resource distribution with the ResourceManager while coordinating with the NodeManagers to efficiently execute and monitor tasks. This clear division of roles significantly boosts the efficiency and scalability of the resource management system, ultimately facilitating better performance in large-scale computing environments. Such an architecture allows for more dynamic resource allocation and the ability to handle diverse workloads effectively.

Media

Media

Integrations Supported

ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Hue
IronCore Labs
RunCode
Sematext Cloud
Slack
Terminals
Velotix
WINDEV
WordPress

Integrations Supported

ActiveBatch Workload Automation
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Hue
IronCore Labs
RunCode
Sematext Cloud
Slack
Terminals
Velotix
WINDEV
WordPress

API Availability

Has API

API Availability

Has API

Pricing Information

$24 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

EasyCron

Company Location

United States

Company Website

www.easycron.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

Uniited States

Company Website

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

Categories and Features

Categories and Features

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