There is increasing demand for realtime data delivery as users expect faster experiences and instantaneous transactions. This means not only is lower latency required per message, but providers must also handle far greater capacity in a more globally-distributed way.

This December has been full of pivotal serverless milestones. We've rolled out a series of major features designed to make your deployments experience smoother, faster, and more cost-effective: Let’s dive into this recap to cover everything that is new and share the resources you need to run and scale your workloads.

Test design is at the heart of effective testing, a crucial process that can make or break your software quality. Why invest time and resources in managing, executing, maintaining, and automating test cases if they don't directly address business needs or mitigate production risks?

APIs are the backbone of modern enterprise systems, but they also expose organizations to significant risks like data breaches and compliance failures. 85% of companies struggle to secure APIs, making robust API security essential. Here's a quick guide to protect your APIs effectively: Start by implementing basic safeguards like secure communication protocols, then move to advanced practices such as dynamic testing and centralized API management.

In the world of data processing and messaging systems, terms like "queue" and "streaming" often pop up. While they might sound similar, they serve different purposes, and can significantly impact how your system handles data. Let’s break down the differences in a straightforward way.

Language capabilities have virtually changed from what it once was, thanks to the newest AI advancements that made huge leaps in language-based tasks. Fittingly enough, today, two so highly spoken-of models that usher content development, interaction, and debugging are ChatGPT 4.0 and Claude 3.5 Sonnet. Creating possibilities or tasks for the user has deservedly led to the necessity of being able to weigh up the opponents, so as to make the right decision for themselves.

In today’s fast-paced software development world, delivering high-quality software on time is paramount. Shift-left testing—the practice of moving testing activities earlier in the development cycle—has emerged as a cornerstone of modern development methodologies like Agile and DevOps. To implement shift-left testing effectively, test management tools play a critical role, enabling teams to manage, execute, and optimize testing processes efficiently.

Microservices are now the architecture of choice for many developers when crafting cloud-native applications. A microservices application is a collection of loosely coupled services that communicate with each other, enhancing collaboration, maintainability, scalability, and deployment. There are several options for enabling this communication between microservices. When it comes to Python, gRPC and REST are two extremely popular directions to go.

This expert panel discussed how businesses can prepare for challenges and opportunities with AI, powering smarter models and personalized experiences.

We hosted our first-ever Confluent AI Day on October 23 in San Francisco and virtually. It was sponsored by Confluent, AWS, and MongoDB, with a vibrant gathering of talent and innovation. With 200 attendees, the full-day event brought together AI developers, technology leaders, and startup innovators to explore how data streaming powers generative AI (GenAI) applications.