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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Azkaban serves as a distributed Workflow Manager developed by LinkedIn to address the complexities of Hadoop job dependencies. There were instances where jobs required a specific order of execution, ranging from ETL processes to data analysis applications. Following the release of version 3.0, Azkaban offers two distinct operational modes: the standalone “solo-server” mode and the distributed multiple-executor mode. The solo-server mode utilizes an embedded H2 database, allowing both the web server and executor server to operate within the same process, making it ideal for initial experimentation or small-scale applications. In contrast, the multiple-executor mode is designed for serious production environments, requiring a MySQL database configured with a master-slave arrangement. Ideally, the web server and executor servers are hosted on separate machines to ensure that system upgrades and maintenance do not disrupt user experience. This configuration not only enhances Azkaban’s robustness but also significantly improves its scalability, making it suitable for larger, more complex workflows. By offering these two modes, Azkaban caters to a wide range of user needs, from casual experimentation to enterprise-level deployments.

Description

Spec2RunAI is an innovative no-code test automation solution designed for QA, UAT, and business analysis teams aiming to streamline the automation of manual test cases for web applications. This platform is capable of integrating with various case management tools like Jira, Zephyr, qTest, Excel, or Word, executing tests on a live web application through AI-powered browser interactions. During the initial run, the AI interprets each step, while established steps can be replayed reliably in roughly two seconds. The self-healing feature operates under an Assertion Lock, ensuring that the integrity of what a test verifies remains intact despite any changes. After each execution, a detailed Run Evidence Report is generated, showcasing execution results, verification coverage, and an AI provenance appendix. With this tool, teams are able to automate regression and acceptance checks without the need to transform every case into a custom-coded test script. Additionally, cloud orchestration can be utilized alongside a local agent for applications that reside behind a firewall, and real execution on Chrome or Edge browsers can be facilitated through a BrowserStack account, enhancing the testing experience further. This capability allows teams to efficiently manage their testing processes while maintaining accuracy and reliability.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure DevOps No 
BrowserStack No 
GitHub Actions No 
Hadoop Yes 
IBM watsonx.data integration Yes 
Jenkins No 
MySQL Yes 

Integrations

Azure DevOps Yes 
BrowserStack Yes 
GitHub Actions Yes 
Hadoop No 
IBM watsonx.data integration No 
Jenkins Yes 
MySQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.03/engagement
Each AI engagement costs $0.03. Engagements are sold in bundles of 100,000 for $3,000, valid for one year. A step uses four engagements for its first AI resolution and one engagement for each validated replay.
Free Trial No 
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Azkaban

Website

azkaban.github.io

Vendor Details

Company Name

AgileAI Labs

Founded

2023

Country

Manchester, NH, United States

Website

agileailabs.com/test-automation.html

Product Features

Product Features

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