Architecture

We moved from monoliths to microservices a decade ago, and there has been a swing back to either consolidating microservices or moving to a modular monolith. This isn’t surprising. Why is this happening? I will explain why logical boundaries don’t have to be physical. Once we finally make this distinction, it opens up many possibilities. YouTube Check out my YouTube channel, where I post all kinds of content accompanying my posts, including this video showing everything in this post. Physical Boundaries One of the good things that came from microservices is defining boundaries. Good fences make good neighbors, as the saying goes.… Read More »The pendulum swings! Microservices to Monoliths

Do you need a message broker, or can you use your database as a queue? Well, as in most cases, it depends. Let me explain how it’s possible and some trade-offs and things to consider, such as volume, processing failures, and more. YouTube Check out my YouTube channel, where I post all kinds of content accompanying my posts, including this video showing everything in this post. Database as a Queue There was a blog post about ditching RabbitMQ for Postgres as a queue. TLDR: They claimed they had issues with prefetching with RabbitMQ and it was causing issues because they have long-running… Read More »Using your Database as a Queue?

Many applications are more read-intensive than write-intensive. Meaning your application performs more reads than writes. However, we often persist data optimized for writes making querying and composing data intensive at runtime. What’s a solution? I will review different ways of creating materialized views and some trade-offs. YouTube Check out my YouTube channel, where I post all kinds of content accompanying my posts, including this video showing everything in this post. Materialized Views If you have a large system decomposed into many different boundaries, you’ll have data spread across many different databases. When you need to perform any query, often for a UI,… Read More »Speeding up Queries with Materialized Views