Systems | Development | Analytics | API | Testing

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Katalon Achieves SOC 2 Type II Certification for 2024

We are proud to share that Katalon has successfully completed its SOC 2 Type II audit, conducted by Sensiba LLC. We received a clean audit opinion, with no exceptions noted in the review of our controls over the specified period. This achievement confirms that our internal controls are functioning effectively, further strengthening the confidence our customers have in us and enabling them to operate securely.

How to source data from AWS DynamoDB to Confluent using DynamoDB Streams and AWS Lambda

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.

Using GitLab With Helix QAC

There are many ways to integrate Helix QAC static analysis within a continuous integration system like GitLab. Helix QAC's full CI/CD integration accelerates the development pipeline and provides maximum flexibility across the entire organization. In this video, we demonstrate the GitLab and Helix QAC integration with a merge request example. Watch to see how easy it is to compare branches, find and fix issues, and automate CI analysis during key phases of development.

Enhancing AI Customer Experience: A Practical Guide

Organizations are harnessing the power of AI to revolutionize products and services across industries. But AI-powered solutions have been getting more sophisticated. We need to redesign and amend our approach to understanding how customers experience these solutions. Unlike traditional products, AI solutions are dynamic, continuously learning and adapting. Traditional metrics may fall short of capturing the nuances of how users interact with AI.

Boosting Kubernetes Developer Productivity: Top Tools and Strategies for Efficient Development

Developer productivity is not just about writing code faster—it’s about creating efficient, self-service environments that minimize friction and reduce the time from development to deployment. In the context of Kubernetes clusters, enhancing productivity means leveraging the right tools and workflows to streamline development, reduce errors, and speed up feature releases. This guide explores the key strategies and tools that can significantly boost productivity in Kubernetes environments.

Innovative Approaches in SaaS Testing: Balancing AI, Data Privacy, and Disaster Recovery

In today’s digital age, Software as a Service (SaaS) has revolutionized how businesses operate, offering cloud-based applications without the need for local installation. As the global SaaS market is expected to grow to more than $462 billion by 2028, it becomes clear that this model is a major player in the technology sector. Platforms like Salesforce, Zoom, and Netflix exemplify the SaaS trend, providing user-friendly, scalable solutions that charge based on usage.

Managing Alert Fatigue in Software Testing

In the last decade, we've leaned heavily on VC-backed tools like @Sumo Logic and @Splunk to help us sift through endless data and logs. These tools are invaluable, but now we're drowning in data, making it tough to focus on what truly matters. This challenge is no different in software testing. Here, many face the dilemma of running thousands of tests nightly with hundreds failing. It’s a sea of alerts and noise, leaving us questioning what we're actually testing.

How To Switch From Jest To Vitest For Better Node.Js Testing

Jest and Vitest are two well-known JavaScript testing frameworks, each with its own strengths. Jest, created by Facebook, is especially popular for React applications. It provides a "zero-config" setup, built-in code coverage reporting, and snapshot testing, making it a complete solution for many JavaScript projects. Vitest, a newer framework in the Vite ecosystem, is known for its speed and lightweight design. Using Vite’s dev server, Vitest performs very well, especially in larger projects.