Systems | Development | Analytics | API | Testing

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Selenium Vs Testsigma | Which is the Best Automation Testing Tool?

As Agile methodology was introduced, the need for fast and continuous delivery of software applications increased. Fulfilling this need, automation testing within organizations increased. Various free open source and paid automation testing tools were introduced. Selenium was the first open-source automation tool introduced and organizations moved towards this tool for their test automation needs.

Drive API Adoption, Usage and Retention with Moesif Plugin for Kong

Through a new partnership with Kong featuring native integration with Moesif, API providers will now have an enhanced Kong experience—enabling API teams to monitor their APIs and stay informed of issues and behaviors impacting their customers. With user behavior analytics, Kong customers can now track the entire customer journey with Moesif from initial sign up to the first API call and empower engineering and business teams with the product insights needed to experiment and take action.

Comparison of Open Source API Analytics and Monitoring Tools

For any API-first company, implementing the right API analytics platform is critical for tracking the utilization of your APIs and to discover any performance or functional issues that may be impacting customers. There are a variety of open-source projects you can leverage to build a complete API analytics platform. Before jumping into building an API analytics solution yourself, you should first list out your requirements and use cases.

'Data On-Prem' Means SaaS Agility And On-Premise Control

Today, we’re excited to announce Data On-Prem for development teams that operate in data-sensitive environments. This new feature truly lets you have the best of both worlds, by enabling large enterprises to leverage Rookout as a SaaS offering, while also meeting the rigorous governance and control requirements that these companies often face.

How Unity analyzes petabytes of data in BigQuery for reporting and ML initiatives

Editor’s note: We’re hearing today from Unity Technologies, which offers a development platform for gaming, architecture, film and other industries. Here, Director of Engineering and Data Sampsa Jaatinen shares valuable insights for modern technology decision makers, whatever industry they’re in.

Build on your investment by Migrating or Upgrading to CDP Data Center

Cloudera Data Platform (CDP) Data Center(DC) is the on-premises release of Cloudera Data Platform. CDP DC combines the best services and components from Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack to deliver the premier on-premises enterprise data platform . This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Lumada for DataOps - Innovate with Data

DataOps is data management for the AI era. It offers new opportunities for emerging industry leaders by simultaneously instituting agility, improving quality, and increasing production success. Here, I will outline how you can solve some of your biggest data management issues with Lumada solutions, which power some of the top organizations in the world. Let’s first discuss data friction and how to remove it.

Goodbye Sample Test Frameworks, Hello Sauce Training Repo

All good things need to come to an end. In this case, that’s true of the Sauce Sample Test Frameworks GitHub organization. While these sample frameworks are now gone, they’re not forgotten. In fact, we’ve replaced them with something better. In the past, this organization provided barebones examples of connecting to Sauce Labs with sample frameworks in a large variety of languages and tools. These frameworks were mainly based on Selenium and testing a basic web page.

How to be 10x more productive than the average data scientist

Being more productive than your super competitive peer group is hard. Being 10 times more productive might sound like an impossibility, an exaggeration.... or even a myth (unicorn, you say?). A 10x data scientist is literally 10 times more productive than the average data scientist. The skillsets of these data scientists create better career opportunities, higher peer recognition, and more interesting projects to work on.

How to use data to change behaviors

The government's response to COVID-19 is a good example of failed leadership from a data perspective. While government officials have access to a huge amount of data to help them make decisions, they’ve fundamentally failed to use that data to take people on a journey. There’s a huge lesson that businesses can learn from this on how to use data to change behaviors.