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What is Spec2RunAI?

Spec2RunAI is a groundbreaking no-code test automation platform tailored for quality assurance, user acceptance testing, and business analysis teams that seek to simplify the automation of manual testing for web applications. The solution seamlessly integrates with a variety of case management systems such as Jira, Zephyr, qTest, Excel, and Word, enabling the execution of tests on a live web application by utilizing AI-driven browser interactions. During its first execution, the AI comprehensively interprets each step, while previously established steps can be reliably replayed in approximately two seconds. Its self-healing functionality operates under an Assertion Lock, which guarantees that the verification of a test remains consistent even with any modifications that occur. After each test execution, it produces a comprehensive Run Evidence Report that outlines the results of the execution, coverage of verifications, and includes an appendix detailing AI provenance. With the aid of this innovative tool, teams can automate regression and acceptance tests without needing to convert every test case into a custom-coded script. Furthermore, the platform supports cloud orchestration in conjunction with a local agent for applications that are secured behind firewalls, and it allows for real-time execution on Chrome or Edge browsers via a BrowserStack account, which significantly enhances the testing experience. By utilizing Spec2RunAI, teams can not only streamline their testing processes but also ensure that they uphold a high standard of accuracy and reliability throughout their automation efforts. This multifaceted solution positions teams for success in managing their test automation efficiently.

What is Azkaban?

Azkaban is a distributed workflow management system created by LinkedIn to tackle the challenges related to Hadoop job dependencies. We encountered situations where jobs needed to run in a specific order, which spanned various applications from ETL processes to data analytics. Following the launch of version 3.0, we established two operational configurations: the standalone "solo-server" mode and the distributed multi-executor mode. The upcoming sections will clarify the differences between these two modes. In the solo server mode, the system utilizes the embedded H2 database, and both the web server and executor server run within the same process, making it suitable for small-scale applications or experimentation. In contrast, the multiple executor mode is designed for more serious production scenarios and necessitates a more sophisticated configuration with a MySQL database set up in a master-slave structure. To improve user experience, it is advisable for the web server and executor servers to operate on different hosts, which helps ensure that upgrades and maintenance do not interfere with service continuity. This architectural choice not only boosts the scalability of Azkaban but also enhances its resilience and efficiency when managing intricate workflows. Ultimately, these operational modes provide flexibility to users while meeting a variety of workflow demands.

Media

Media

Integrations Supported

Azure DevOps
BrowserStack
GitHub Actions
Jenkins

Integrations Supported

Hadoop
IBM watsonx.data integration
MySQL

API Availability

Has API

API Availability

Pricing Information

$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.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

AgileAI Labs

Date Founded

2023

Company Location

Manchester, NH, United States

Company Website

agileailabs.com/test-automation.html

Company Facts

Organization Name

Azkaban

Company Website

azkaban.github.io

Categories and Features

Categories and Features

Data Pipeline

Not specified

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