Systems | Development | Analytics | API | Testing

Have you ever paused to think about how fast money moves today? No paperwork, no waiting in line, just a few taps, and it’s done. For industry leaders, this raises a crucial question: Are we doing enough to keep pace with the evolving consumer expectations in the P2P payments space? Global’s peer-to-peer (P2P) payments landscape has seen an extraordinary transformation over the last few years.

What’s the difference between a software launch that builds customer confidence and one that becomes a costly disaster? Often, it comes down to how thoroughly the product was tested internally before anyone outside the company ever saw it. he irony is that alpha testing is often the most cost-effective phase for catching serious issues, yet it’s frequently the first thing cut when timelines get tight.

WSO2 Kubernetes Gateway provides a robust, Kubernetes-native platform for managing APIs. It’s purpose-built for cloud-native teams requiring fine-grained control over APIs in modern, distributed environments. With support for microservices architecture, secure ingress, and service discovery, Kubernetes Gateway solves the infrastructure side of the API equation.

You're three hours into debugging a stalled Kafka consumer. The lag is climbing. Customers are complaining. Your logging doesn't show anything useful, and changing the log level requires a deployment approval that won't come until tomorrow morning. Sound familiar? If you're operating Apache Kafka at scale, that sinking feeling when a consumer group stops progressing, and you're left playing detective with insufficient clues.

Let me take you on a journey—not into some far-off sci-fi future, but into a tomorrow that’s just around the corner. Imagine this: you walk into your workplace and some of your “colleagues” are no longer human. They’re not robots in the traditional sense, but agents—autonomous software entities, each trained on vast datasets, equipped with decision-making power, and capable of performing economic, civic, and operational tasks at scale.

Test case design constantly adopts new languages, architectures, and methodologies. But in the last few years, the pressure to scale while ensuring quality in a smart way, without overly increasing efforts, has changed the narrative. AI has entered the scene, promising to systematize decisions, reduce redundancy, and even create tests from scratch. Some teams have already experimented with AI, while others observe with skepticism.

Test automation is no longer a nice-to-have—it’s a baseline expectation for any team serious about delivering high-quality software at scale. Paulo Feitosa , Sr. Manager, Automation Solutions,

It is said that the special nature of software development is ever-changing so it is important to choose the right tool for the job. Whether it’s a web interface or a cross-platform mobile app you are building, React and React Native are two of the most powerful technologies available today. This blog will answer the question of "what is React and What is React Native" and show how Keploy can help improve test efficiency across both frameworks.

Chatbots are quickly becoming more sophisticated and integrated into business workflows, enhancing productivity and scalability. However, they also expand the attack surface for organizations. This new exploitation vector requires data engineers and security teams to incorporate various security guardrails when building their gen AI architecture. In this blog post, we discuss the risk of data leakage through AI chatbots.

In March 2024, the European Union passed the AI Act. This sweeping regulation reshapes how organizations deploy and manage AI systems. The law addresses AI risks that could affect both individuals and businesses, from hiring biases to critical infrastructure failures. Similar rules have started taking shape across the world, including several state-based regulations in the US. But the regulation is only the floor. We all share the responsibility of creating a safe, responsible AI future.