Systems | Development | Analytics | API | Testing

Security considerations when choosing an embedded analytics provider

October 2025, Paris. Thieves dressed as construction workers break into the Louvre and steal eight pieces of the French Crown Jewels valued at approximately €88 million. The robbery took place in broad daylight, and lasted less than eight minutes. As of the time of writing, only one of the jewels was recovered, a crown belonging to Napoleon III's wife Eugénie, which the thieves dropped in the street as they fled.

Vibe Coding: Emergence, Impact & Future of AI-Driven Development | Andrew Knight | Testflix 2025

In this session, Andrew will trace Vibe Coding's journey—from emergence to current impact—exploring how it has got us into re-thinking development and testing. He'll examine today's tools, real-world use cases, and the cultural shifts teams need to embrace this AI-driven approach. Andrew will share hot takes on myths versus reality and deliver practical advice for getting started. This video is of one of the sessions presented at - World’s Leading Virtual Software Testing Conference.

More code, more bugs, same team. So what's your plan?

The plan is to test earlier and faster to keep up with AI-generated code. By using AI-assisted, in-sprint testing and shift-left strategies, teams can catch issues sooner, scale testing with the same team, and maintain quality despite higher code volume. — Alex Martins, VP of Strategy at Katalon Follow Katalon for more insights in our series!

DLP: The Key to Secure K8s Testing #speedscale #dlp #kubernetes #devops #testing

Testing with production traffic doesn't have to be a security risk. Engineers often avoid production data because of sensitive info like passwords, tokens, and PII. But legacy test data management is too static for modern, fast-changing payloads. Enter the Speedscale Streaming DLP Engine. It automatically detects and redacts sensitive data in real time as it's captured from your environment. You get the realism of production traffic without the risk of a data breach.

Open Lakehouse Meetup (ft. Apache Iceberg): Building Scalable Data Platforms

Discover the future of the Data Lakehouse with this deep dive into Apache Iceberg V3 and V4 from the Bengaluru community meetup. Learn how PyIceberg and DuckDB are revolutionizing Python-native data processing by eliminating the need for Spark clusters for 99% of common query sizes. Explore high-performance ingestion benchmarks from Oleg and the Google Dataproc Lightning Engine, achieving over 500k rows/sec through Apache Arrow and C++ vectorization. This session is a masterclass for data engineers on metadata compaction, Rest Catalogs, and building vendor-agnostic data platforms.

An Introduction to Ruby Parsing with Prism

You might have heard about Prism, the new Ruby parser. Perhaps you've heard it's faster, more reliable, and more powerful than what we had before. Or maybe you never took a compilers class and aren't sure about what this actually means. I'm here to tell you all about it, and how it's changing our lives as Ruby developers. Today, I want to take you from square one to writing your first transpiler.

Why Instant, Secured REST APIs are the Backbone of Manufacturing Process Optimization in 2026 | DreamFactory

In the industrial landscape of 2026, data is no longer just a byproduct of production—it is the primary driver of operational efficiency. However, a significant gap remains: the Integration Gap. While factories are teeming with sensors, ERPs, and PLCs, the ability to deliver that data to real-time applications remains a manual, slow, and often insecure process.