LocalStack & Speedscale are both notable API simulation tools. Here’s how they compare across usability, monitoring, scalability, and customization.

JVM uses threads to execute every single operation. And during its lifetime, these threads can go through various stages. One such stage, where the threads are unable to move any further or are blocked from operating is called as the thread-waiting situation. There are various scenarios in which a thread can enter a waiting state. Identifying and diagnosing thread-waiting situations is important for maintaining the performance and reliability of multithreaded applications.

We’re excited to unveil enhancements to Tricentis Tosca 2023.2, marking a significant leap in test automation with advanced self-healing and accessibility testing features.

Effective management of Redshift costs is closely tied to data storage optimization. Choosing the right data types and implementing data compression are pivotal in reducing storage footprints and costs. Redshift’s columnar storage format enhances query performance, which in turn can lead to significant savings. For a more comprehensive approach, integrating tools like Anodot can provide advanced analytics and real-time visibility to further streamline storage efficiency and optimize costs.

To kick off the beginning of a new year, Katalon has made enhancements and improvements for TestCloud, TestOps, Katalon Studio, and KRE. The changes are listed below in their respective product section.

Imagine being able to see a detailed, hyper-realistic replica of your future home before even setting up a tour – or before the process of building it had even started. Months or years out from moving in, you would already be able to visualize the materials, layout, lighting, and more, as well as begin envisioning your daily routine within the space.

Fivetran and Stitch Data are two of the top contenders in the great ETL tool debate. But both platforms have their own sets of advantages and drawbacks. Choosing the right ETL platform for your business depends on several factors unique to your company, such as the types of data you need to analyze and the business intelligence (BI) you expect to glean from it. Which of these ETL/ELT platforms is the right option to add to your data stack?

Understanding the differences between REST APIs and RESTified endpoints is crucial. REST APIs represent traditional methods of resource access, while RESTified endpoints offer a more dynamic and efficient approach, particularly in environments that necessitate rapid development and flexibility. This article aims to dissect REST APIs vs. RESTified endpoints, highlighting their key differences and determining which might be best suited for specific development scenarios.

Artificial intelligence based APIs are reshaping traditional subscription models thanks to their unique monetization frameworks. These API products enable companies seeking tailored solutions in automation and AI workflows, departing from one-size-fits-all UI approaches and embracing a highly customizable experience. Originally designed for internal platforms, APIs built with AI are now evolving into revenue gateways, transforming them into strategic assets contributing directly to company revenue.

In modern technology, successful digital products and platforms are built on the bedrock of scalability and flexibility. Whether it’s a burgeoning startup or an established enterprise, adapting, growing, and handling increased loads without compromising performance is crucial. Platform engineering stands at the forefront of this paradigm, offering methodologies and frameworks that enable the creation of robust, scalable, and flexible systems capable of meeting evolving demands.