Systems | Development | Analytics | API | Testing

Regular expressions are usually not top of mind when you think of performance bottlenecks in your application, but inefficient patterns or sub-optimal use of the APIs can make them slow. A wonderful learning opportunity for this is a recent roughly factor of 2x performance improvement patch to Doctrine DBAL’s SQL Parser. This patch was submitted by Soner from Shopware fame, thank you to him.

As your user base expands, so does the volume and variety of push notifications you need to send. Whether it’s transactional alerts, updates, or personalized messages, publishing notifications for thousands - or even millions - of users can quickly become a bottleneck. The more you grow, the more important it becomes to have a scalable, efficient push strategy.

The architecture of the modern data lake offers considerable advantages over data warehouses.

Have you ever found it a bit tedious to enter the same release notes text every time you submit an app for review in the stores? In this article, I’ll introduce a method to automate this small but repetitive task. It’s very easy to implement, so please read on.

Have you ever felt personally offended by a 4-star review, even after giving 110% to your customers? You’re not alone. Even the smallest product hiccup can spark a Reddit thread or a sarcastic TikTok. Getting customer engagement right is more challenging and important than ever. You will likely face ongoing challenges in customer engagement with new and evolving expectations, and meeting these needs is vital to fostering brand loyalty.

Just like every impressive building starts with a strong foundation, every remarkable capability in an AI agent can be traced back to its framework. AI agent frameworks or agentic AI frameworks make it possible to create smart, efficient AI agents that can serve as simple chatbots, facilitate agentic automation, or contribute to complex use cases in finance, supply chain, healthcare, manufacturing, and robotics as part of a multi-agent system. But what are AI agent frameworks?

JSON Web Tokens (JWTs) secure communication between parties over the internet by authenticating users and transmitting information securely, without requiring a centralized storage system. In this article, we'll explain what JWTs are and give a high-level overview of how they work. We'll also implement a JWT-based authentication system by creating a to-do list API using Flask.

Imagine two companies entering into a business agreement: each knows its roles, expectations, and deliverables. Now, think of each system or microservice having a similar “contract” that defines how they communicate. This approach ensures that both the data provider and the consumer adhere to a common set of rules, reducing errors and streamlining integration.

NGINX with OpenResty offers unmatched performance for serving APIs (application programming interfaces) at scale, with the added benefits of the open-source ecosystem. It’s fast, flexible, and production-proven—an ideal choice for scalable web platforms and high-throughput APIs. But even the most reliable platform can leave teams blind to what matters: real-time API usage, user behavior, and production errors.

Usage-based pricing has long been the default for APIs—straightforward to implement and easy for customers to understand. You charge based on consumption: API calls, compute time, or data volume. It is predictable, measurable, and scales well with usage. But as APIs become more intelligent—especially in AI-driven platforms—raw consumption no longer remains a reliable proxy for customer value. A user can rack up thousands of API calls and still achieve nothing meaningful.