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Average Ratings 0 Ratings
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
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