Systems | Development | Analytics | API | Testing

How Engineering Teams Should Monitor Customer Health and API Usage

Most engineering teams have infrastructure monitoring nailed down—they are tracking uptime, latency, and error rates, and have set up alerting in places. But API issues don’t always start there. Infrastructure metrics don’t tell you how your API users experience your API. A critical integration may have been repeatedly facing failures due to invalid authentication tokens. A new version you have deployed might have introduced a subtle schema change that breaks older clients.

Usage-Based vs. Outcome-Based Pricing for APIs

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.

Moesif for API Observability and Analytics in NGINX OpenResty

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.

Using JWTs in Python Flask REST Framework

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.

Introducing batch push notifications: send thousands with one API call

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.

Combining regular expressions with named capture groups to improve performance

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.

The Evolution of Automation: Why Enterprises Are Turning to AI Agents

Process automation has been around for decades, but the tools under this technology umbrella have multiplied over the years. Robotic process automation (RPA) was an early tool for handling simple, routine tasks, and it’s still powerful to have in your intelligent automation arsenal. But when technologies like intelligent document processing, business rules, and workflow orchestration entered the scene, they brought new capabilities to the process automation suite.

Automate safer API delivery with Kong Gateway and decK

Moving faster shouldn’t mean giving up control. In this quick demo, see how to go from an OpenAPI spec to a fully configured service in Kong Gateway—with built-in plugins, tagging, backups, and diff checks for safer, repeatable API deployment. Learn how your platform team can use decK to: Promote configurations from non-production to production with confidence If you're looking to streamline API operations without sacrificing governance or security, this walkthrough is a must-watch.