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What is Test Kitchen?

Test Kitchen is a versatile testing framework designed to run infrastructure code in a secure and controlled setting that spans various platforms. It utilizes a driver plugin architecture, enabling code execution on numerous cloud services and virtualization platforms such as Vagrant, Amazon EC2, Microsoft Azure, Google Compute Engine, and Docker, to name a few. Additionally, the tool is pre-equipped with support for multiple testing frameworks, including Chef InSpec, Serverspec, and Bats. It also seamlessly integrates with Chef Infra workflows, allowing for the management of cookbook dependencies via Berkshelf, Policyfiles, or simply by placing them in a cookbooks/ directory for automatic detection. Consequently, Test Kitchen has gained significant traction within the community of Chef-managed cookbooks, establishing itself as a go-to tool for integration testing within the cookbook landscape. This widespread adoption highlights its critical role in verifying that infrastructure code remains resilient and dependable across a wide array of environments. Furthermore, Test Kitchen's ability to streamline the testing process contributes to enhanced collaboration among developers and operations teams.

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
Amazon EC2
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Docker
Google Compute Engine
Hue
IronCore Labs
Microsoft Azure
RunCode
Sematext Cloud
Terminals
Vagrant
Velotix
WINDEV

Integrations Supported

ActiveBatch Workload Automation
Amazon EC2
Apache Knox
Apache PredictionIO
Apache Ranger
Cloudera Data Platform
DX Unified Infrastructure Management
Docker
Google Compute Engine
Hue
IronCore Labs
Microsoft Azure
RunCode
Sematext Cloud
Terminals
Vagrant
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

KitchenCI

Date Founded

2008

Company Location

United States

Company Website

kitchen.ci/

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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