Architecture Weekly Issue #98. Articles, books, and playlists on architecture and related topics. Split by sections, highlighted with complexity: 🤟 means hardcore, 👷‍♂️ is technically applicable right away,  🍼 - is an introduction to the topic or an overview. Now in telegram as well.


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Transaction Isolation in Postgres, explained 🤟

In Designing Data Intensive Applications Martin Kleppmann touched on the consistency topics and Isolation Levels. Gwen Shapira wrote a 30-minute post explaining how those levels work in Postgres with the SQL examples. Incredibly clear explanation, find it below.

Transaction Isolation in Postgres, explained
Ever dealt with glitches in a SaaS platform where your actions don’t seem to sync up? That’s often a transaction isolation issue in databases. Lets talk about transaction isolation and how they work in Postgres, so you can write reliable and performant code with minimal headache.


Growing into Staff Engineer

Reaching middle or senior engineer could be manageable with the focus on technical competency in the majority of tech companies. But then you would face a problem of growth, as purely technical skills won't simply cut it. Product thinking, communication, leadership - those are essential for making the next step, like Staff Engineer. I conducted an hour long interview with Staff Engineer from Spotify to help you understand how to land Staff position. You will also help me to find out what are exactly the issues you're facing in your career path by filling in this form.  

#career #video #interview

Startup CTO Handbook 🍼

Imaging you landed a co-founder role as a technical person in a startup. What the hell do you do? What type of a CTO should you be? How do you manage engineers? Grab the Startup CTO's Handbook, which covers those questions. Fully available in MD for free, but you can purchase a book on Amazon as well.

GitHub - ZachGoldberg/Startup-CTO-Handbook: The Startup CTO’s Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams - GitHub - ZachGoldberg/Startup-CTO-Handbook: The Startup CTO&#...



AI Coding Assitants 🍼

This week was rich on interviews, so grab an exclusive interview with Anton Arhipov, Developer Advocate at JetBrains, as we delve into the groundbreaking realm of AI Coding Assistants. In this enlightening conversation, Anton sheds light on how these intelligent tools are reshaping the landscape of software development. From boosting productivity to revolutionizing code quality, discover how JetBrains is at the forefront of this technological evolution. Whether you're a seasoned developer or just intrigued by the future of AI in coding, this interview offers valuable insights into the next wave of development tools that are set to transform the industry.


Recursive embedding and clustering 🤟

Understanding users is crucial to every organization who treats themsevles as data-driven, and Spotify is no exception. However, the task itself is challenging even for season data scientists. In this article, Spotify engineers explain how they achieved manageable, understandable data which they can reason about. Mentions of recent improvents in Data Science itself included!


Database Fundamentals 🤟

Let's continue on Database topic! Find another post which summarizes the Database Internals and Designing Data Intensive Applications together in a long read covering the Indexes, Isolation Levels, LSM trees and many more!

Database Fundamentals


How Pinterest scaled to 11 million users with only 6 engineers  🍼

My favorite topic of Frugal Architecture! Pinterest shows how they were evolving their system to support the growth of the user base. Simple technologies, vertical and horizontal scaling, database sharding supported by only 6 engineers at the level of 11 million users and some other tactics in the blog post!

How Pinterest scaled to 11 million users with only 6 engineers
Pinterest’s tech stack explained simply (5 minute read)


Sliding window rate limits in Distributed Systems 👷‍♂️

Grab, like Uber, sends the marketing communications to their users, which is around 270 millions. But they have to carefully balance the marketing load so that users won't churn because of it. Interesting task to solve at scale. Grab leveraged Redis, Bloom Filters and Roaring Bitmaps to handle it! Details inside.

Sliding window rate limits in distributed systems
In the field of distributed systems, there are several common challenges, such as rate limiters and fast queries in big data. In this blog post, we delve into how we address these challenges with sliding window rate limits to optimise marketing communications for our users.


Update on the CAP theorem  🍼

You all know this Consistency-Availability-Partial Tolerance triad. You might also note that it gets it's fair share of criticism. Find a twitter note on why CAP theorem should actually get an improvement.