by Stanislav Kozlovski What is a Distributed System and why is it so complicated? With the ever-growing technological expansion of the world, distributed systems are becoming more and more widespread. They are a vast and complex field of study in computer science. This article aims to introduce you to distributed

Build a serverless system using nothing but AWS services and a few lines of code. This simple, cost-effective, and scalable solution allows you to focus on the core business logic of your startup, rather than worrying about scaling and maintaining the underlying infrastructure.

Check out this article to learn how to make the most of AWS Auto Scaling and its benefits explained with real-life examples!

Assortment of technology startup infrastructure recommendations

The software industry is learning once again that complexity kills

Detailed walkthrough of Uber's CacheFront, an integrated caching solution for low-latency reads

#37: Learn More - Zapier Architecture Overview (5 minutes)

Inspired by the 1BR Challenge, I wanted to see how much it would cost to transfer 1 billion rows from Postgres to Snowflake. Moving 1 billion rows is no easy task. The process involves not just the transfer of data but ensuring its integrity, error r...

I took part in the Billion Row Challenge. Enjoy a deep, step-by-step summary of how you get from a Parallel Java Streams implementation that takes 71 seconds to a super-optimized version that takes 1.7 seconds. Example code and walkthroughs included!

You can use this guide to get up to speed with Kubernetes as a developer. From its very basics to more intermediate topics like Helm charts and how all of this affects you as a dev.

(A lot of words about where I think serverless computing is going.)

Intro

The Third Browser War and the Fight to Bring the OS to the Cloud

XFaaS is Meta's private platform for "Hyperscale and Low Cost Serverless Functions." It is more efficient than AWS Lambda, Azure Functions, and Google Cloud Functions.

Whenever you’re building a data system, there’s a million things to consider. Gone are the days of just shoving everything into MongoDB and calling it “web scale.” In this newsletter, we’ll be going over the considerations you should be thinking about when building out large scale data systems.