Systems | Development | Analytics | API | Testing

Katalon with AWS CodePipeline integration - an End-to-end test automation solution

With AWS, Katalon creates a seamless testing experience for teams of any size and accelerates the agile software development process. Both Katalon and AWS CodePipeline play a critical role in continuous delivery, where AWS CodePipeline automates the building and deployment of applications, and Katalon ensures the quality of the applications by automating tests. In order to help customers deliver faster & release on time, Katalon has built an integration where automation scripts can be stored in AWS CodeCommit, and an AWS CopePipeline project can execute them using the integration.
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Innovative times for mobile: implications for app developers and testers

The past few months have seen various landmarks in mobile technology, notably from Apple and the Android community, and these announcements and launches represent far more than just new devices and operating systems. There are also some massive strides forward, including more focus on the user experience, which reflects the growing market demand for improvements in this area. Of course, mobile has always led the pack in terms of UX, but with more people engaging with the rest of the world via their smartphones, they increasingly expect a better experience.

The 6 Best FREE Open-Source ETL Tools in 2023

Data integration can be a daunting task, and data engineers usually prefer open-source ETL solutions because of their transparency (you can always inspect the code), flexibility (tinker with the tool), and price performance (no vendor licenses, no maintenance fees). But there are many “gotchas!” with open-source tools you need to consider before picking the best tool for the job.

The 7 Costly and Complex Challenges of Big Data Analytics

re:Invent 2022 is just around the corner and we couldn’t be more excited to share the latest ChaosSearch innovations and capabilities with our current and future customers in the AWS ecosystem. Enterprise DevOps teams, SREs, and data engineers everywhere are struggling to navigate the growing costs and complexity of big data analytics, particularly when it comes to operational data.