Systems | Development | Analytics | API | Testing

High-scale, high-frequency messaging and burst activity can lead to significant costs and performance challenges for realtime applications. To help with this, we’ve introduced server-side batching and conflated subscriptions—two powerful optimizations in Ably Pub/Sub that significantly reduce message count, lower bandwidth usage, and optimize processing overhead. These features allow you to process high-frequency updates more efficiently without sacrificing accuracy, reliability, or latency.

API audit logging is essential for tracking API interactions, securing sensitive data, and meeting compliance standards like GDPR, HIPAA, and PCI DSS. It records who accessed data, what actions were taken, when it happened, and more. Proper logging can reduce data breach risks by up to 70% and improve regulatory compliance by 90%.

So, you've built a Flask application — congratulations! You've crafted routes, connected databases, and perhaps even deployed it to a server. But have you tested it thoroughly? Testing isn't just a checkbox on a developer's to-do list: it's an essential part of building robust and reliable applications. So, in this article, we'll describe why testing is important for Flask applications and how you can effectively implement tests.

WSO2 APK (WSO2 API Platform for Kubernetes) 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, APK solves the infrastructure side of the API equation.

In our previous post, we covered the basics of setting up and using Dialyzer in your Elixir project. Now, let's dive deeper into advanced type specifications, complex warning patterns, and troubleshooting techniques that will help you make the most of Dialyzer.

Libuv is one of the most crucial components behind Node.js, yet many developers aren't fully aware of its role in enabling asynchronous I/O operations. As a high-performance, cross-platform support library, Libuv is at the heart of event-driven programming in Node.js, but its impact extends far beyond that. Santiago Gimeno is a Libuv maintainer and Senior Software Architect at NodeSource.

Pharmaceutical labeling is an ideal use case for AI because it’s a complex process that requires high levels of accuracy. Inaccurate labeling can result in: With recent breakthroughs in AI technology, pharmaceutical companies have rushed to explore its potential. But many have not seen the impact they expected. The problem isn’t the AI. It’s how pharma companies are using AI.

MCP is a new way to integrate LLMs and AI agents with third-party data sources and APIs. It significantly improves how we build tool integrations by eliminating duplicated code and providing a centralized interface for multiple agents to access shared tools. Today, we’re excited to announce the release of Kong’s MCP Server for the Kong Konnect platform. This empowers customers to integrate AI agents and query LLMs to discover APIs, services, and traffic analytics in real time.