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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.

What is Apache Eagle?

Apache Eagle, often simply known as Eagle, is a powerful open-source analytics tool aimed at swiftly identifying security and performance issues in extensive data environments, including Apache Hadoop and Apache Spark. It meticulously evaluates a range of data operations, Yarn applications, JMX metrics, and daemon logs, boasting an advanced alert mechanism that identifies both security violations and performance hindrances while delivering crucial insights. Large-scale data platforms generate massive volumes of operational logs and metrics in real-time, which can become quite overwhelming for users. Eagle was developed to address the pressing challenges associated with securing and optimizing the performance of big data systems by guaranteeing that metrics and logs remain readily available and that timely alerts are generated, even during peak traffic periods. By integrating operational logs and data activities into the Eagle platform—including audit logs, MapReduce tasks, Yarn resource consumption, JMX metrics, and various daemon logs—it is capable of issuing alerts, showcasing historical trends, and correlating alerts with raw data for an in-depth analysis. This functionality not only facilitates the prompt identification of issues but also significantly bolsters overall system reliability and efficiency, ensuring that users can maintain control over their data environments. In essence, Eagle serves as a crucial ally in the realm of big data management, allowing organizations to navigate the complexities of data security and performance with greater ease.

Media

Media

Integrations Supported

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Apache Software Foundation

Date Founded

1999

Company Location

Uniited States

Company Website

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

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

eagle.apache.org

Categories and Features

Categories and Features

IT Alerting

Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications

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