Every streaming system, every queue, every webhook integration eventually meets a producer faster than its consumer. Backpressure is what decides whether that moment is a graceful slowdown or a cascading outage.

Conway's Law says systems mirror the communication structure of the organizations that build them. Domain-Driven Design says a bounded context should mirror the domain. Most of the time, the domain loses that argument.

Both are called 'events.' Both get published to a broker. That surface-level similarity is exactly why teams keep publishing one where they should be publishing the other, and why the mistake is so hard to notice until a schema change breaks three unrelated services.

If you’re diving into microservices or looking to scale your systems, you’ve probably heard of <b>Event-Driven Architecture (EDA)</b>. It’s a buzzword for a reason — EDA is a game changer when it comes to building responsive, scalable applications. But what exactly is it, and how does it stack up against more traditional approaches? Let’s break it down.

Event sourcing conference talks sell you the audit trail and the time travel. They rarely mention what it costs to replay millions of events years later, or what happens the day you need to change what an old event means.

GenAI agents are becoming increasingly popular, and many believe they should redefine software design to make them supporting agents. However, if we consider them as microservices, we can apply all the best practices and concepts we've learned. These agents can autonomously handle complex tasks, process unstructured data, and adapt their behavior over time. By integrating GenAI agents, organizations can enhance the flexibility, scalability, and intelligence of their systems, expanding the potential of what microservices can achieve.

Agent frameworks sell autonomy: let the model decide what to do next, every step, forever. Constrain that same agent to a finite state machine and something better than magic happens. It becomes predictable.

If you’ve been exploring <b>Domain Driven Design</b> (DDD), you might have come across a lot of talk about <b>entities</b>, <b>value objects</b>, and <b>repositories</b>. These are the tactical patterns that often grab attention, but let’s take a step back and think about what really makes DDD valuable.

The dual-write problem is the silent killer of event-driven systems: you save to your database, then publish an event, and one of those two things eventually fails without the other knowing. The Outbox Pattern fixes it by lying to your database on purpose, in a way that's actually safe.

HTTP Streaming is a powerful method for delivering real-time updates from server to client. By keeping the connection open, the server can send data as it becomes available. In this guide, we’ll explore how HTTP Streaming works, compare two different techniques (chunked transfer encoding and Server-Sent Events), and walk you through practical implementations of both.

Picking the right event-driven API can make a huge difference in how well your app performs. Whether you're looking for real-time updates, efficient data delivery, or seamless communication, Webhooks, WebSockets, and HTTP Streaming each offer something unique. In this article, we’ll break down what makes each one tick and help you decide which is the perfect fit for your app’s needs. Let’s dive in!

Most teams copy a circuit breaker library into their retry logic and call it resilience. The library isn't the point. The behavior it encodes — noticing you're hurting something and stopping — is the point, and you can get it wrong even with the right library installed.