Systems | Development | Analytics | API | Testing

On behalf of Qlik, I’m excited to share some thoughts about our acquisition of Upsolver and how it opens up new possibilities for our customers, helping them achieve their goals in ways previously out of reach. First thing to say is how we’ve been deeply impressed by Ori and the Upsolver team’s relentless focus on innovation and solving customer’s problems. We met over a year ago when our respective teams were looking at ways our technology could jointly work together.

Modern data systems demand flexibility, tool interoperability, and strong data integrity. Legacy formats often create barriers with rigid schemas, inefficient partitioning, and weak transactional guarantees. Apache Iceberg overcomes these limitations with a modular design that decouples metadata from data storage, enabling smooth-schema changes, efficient query pruning, and ACID compliance across engines. This article explores Iceberg’s technical foundations.

Debugging is a vital part of software development, ensuring that code behaves as intended, identifying errors early, and preventing small fixes from escalating into larger problems. Developers risk releasing unreliable, inefficient, or even unusable code without proper debugging techniques. This tutorial covers the fundamentals of Python’s assert statement, practical ways to use assertions for testing and debugging, and best practices for using assertions effectively while avoiding common pitfalls.

In light of the recent deprecation of MongoDB Atlas Device Sync (ADS), developers are seeking alternative solutions to synchronize on-device data with cloud databases. Ably LiveSync offers a potential alternative and can replace some of ADS’s functionality, enabling realtime synchronization of database changes to devices at scale.

Part 1 of a 3-part series IT teams are increasingly tasked with supporting the unprecedented growth in data across their organizations. Businesses are constantly seeking innovative solutions to manage their growing data needs efficiently and cost-effectively. Software-defined storage (SDS) is seen as a game-changer and competitive edge for many teams, offering unprecedented flexibility and scalability. Consider this: How many great ideas have been put on hold because your storage couldn't keep up?

The development of SmartBear API Hub, powered by Swagger, represents a significant advancement in how teams manage, test, and optimize API workflows. Our journey to create a cohesive, unified suite – API Hub – required integrating standalone products into a single, robust ecosystem, establishing a seamless user experience that bridges workflows across each product.

We’re excited to announce that BugSnag is now officially SmartBear Insight Hub. This evolution reflects the broadening of our capabilities beyond error monitoring to encompass full-stack observability with real-user monitoring, backend performance monitoring, and distributed tracing.

As we move into 2025, software testing is not just about identifying defects. Organizations strive for scalability, efficiency, UX, and security to meet modern software engineering practices. The software testing world is transforming at its peak, initiated by innovations, advanced technologies like Artificial intelligence, and higher business expectations.