Systems | Development | Analytics | API | Testing

It was a normal day in the land of eCommerce. Birds were singing, dashboards were loading, and merchants everywhere felt cautiously optimistic. Then the ground trembled. A tiny glitch. A flicker. A warning log no one read. And suddenly— BOOM! Shopify burst out of the digital ocean like a gigantic scaly beast that woke up on the wrong side of the server rack. Checkouts froze mid-purchase. Product pages stopped producting. Merchants stared blankly at blank screens. The Commerce Kaiju had arrived.

In the digital-first world of today, many applications depend on RESTful APIs as the connectivity placeholder: whether between microservices, mobile applications, third-party integrations or SaaS platforms, it is important for ensuring these APIs are reliable, secure and performant. This is where you can utilize REST API testing.

For years, virtualization quietly powered the world’s digital infrastructure. Enterprises and government agencies relied on trusted platforms to keep workloads stable, secure, and efficient. But now, the landscape is rapidly shifting. Organizations are now looking for new capabilities in a virtualization platform, according to a new report by Red Hat, with 38% of companies desiring automation and AI-powered capabilities, and an anticipated 45% rise in the use of containers.

If your company is still delivering data to customers via FTP (File Transfer Protocol) or SFTP, you are trapped in a legacy workflow. While FTP was the standard for decades, today's digital landscape requires speed, security, and automation. Relying on manual file uploads, batch scripts, and static CSVs is no longer just "old school"—it is a liability. It leads to data latency, security risks, and poor customer satisfaction. Modern businesses are moving from "file drops" to using modern API's.

When we talk about JSON schema in the world of Kafka and streaming, you may assume the schema for the events/messages. But how many times have you fumbled in the configuration about trying to get an application deployed? Schemas that describe how to configure and deploy Applications or applications-as-code, are also important, allowing us to automate application landscapes. Especially as we will soon be a wash with catalogs for AI Agents, MCP servers etc.

AI has become an integral part of how we work today. From writing code to managing workflows, AI assistants help us complete tasks faster and with greater precision. In modern software products, AI copilots are no longer a luxury, they’re a necessity. They reduce cognitive load, simplify complex workflows, and allow users to focus on what truly matters.

Big optimizations in PHP’s memory consumption have become exceedingly rare. Since then, memory improvements have been smaller in scope, focusing on little details for certain types of variables. Like improving the Garbage Collector (GC) in edge cases, which Iljia Tovilo contributed to PHP 8.5 titled “Mark enums and static fake closures as not collectable”.

As the lead sustainability officer at Qlik, I've had the privilege of witnessing firsthand the collaborative spirit and escalating urgency driving climate action today. Events like Climate Week NYC, the C40 World Mayors Summit, and COP30, highlight a clear reality: commitments are essential, but implementation and accountability matter more — within private and public sectors alike. And at the heart of this transition lies a powerful trio: data, collaboration, and AI.

What does it really take to build the “Toonsutra of the future”? A platform where millions binge bite-sized comics, creators earn at scale, and brands unlock new storytelling formats, all inside a mobile app? With India’s digital comics market projected to cross USD 1.35B by 2030, and global webtoon consumption growing at 25% YoY, the question isn’t whether to build a platform like Toonsutra… It’s how fast you can enter the space before it gets crowded.

Choosing the best project methodology for a software project can help or hinder it greatly. Teams frequently evaluate Agile vs Waterfall. When teams choose an approach, they often have to consider the schedule and the manner in which they want to deliver the software. This choice becomes especially important when engineering teams and QA teams work together. Rapid changes during development along with rapid product releases and QA testing are common.