System Architecture

Looking beyond the hype and explaining why microservices should nearly become extinct.

Discover the power of Tailcall's introspection capabilities in tackling the N+1 problem, a common performance issue in systems where a single downstream request triggers numerous upstream requests. Tailcall allows you to identify all instances of N+1 issues before starting your server, ensuring optimal performance and efficiency. Learn more about how Tailcall addresses this challenge and enhances your system's functionality.

Author: Alexey Makhotkin [email protected]. Introduction In this database design tutorial (~9000 words) I’m going to show how to design the database tables for a real-world project of substantial complexity. We’ll design a clone of Google Calendar. We will model as much as possible of the functionality that is directly related to the calendar. This series illustrates an approach explained in the book called “Database Design using Minimal Modeling”, scheduled to be released in Summer 2024.

I'm begging you: stop calling every 2 bit certificate vendor a "certificate authority"

MylifeBits is a lifetime store of everything. It is the fulfillment of Vannevar Bush’s 1945 Memex vision including full-text search, text & audio annotations, and hyperlinks. The book Total Recall (paperback title Your Life, Uploaded) is the culmination of our thoughts regarding MyLifebits and the larger CARPE research agenda. There are two parts to MyLifeBits: an experiment […]

In this blog, we go on an interactive journey to understand common queueing strategies for handling HTTP requests.

The Unicode block Variation Selectors contains the codepoints from U+FE00 to U+FE0F.

Mint defines workflows as a directed acyclic graph (DAG) of tasks, rather than as scripts on VMs. This difference is the key to Mint’s unmatched performance and developer experience.

What we cover here is what the “Deepfake maker” can make and obscure whether the content is original or AI-made.

As discussed in Components of engineering strategy, a complete engineering strategy has five components: explore, diagnose, refine (map & model), policy, and operation. However, it’s actually quite challenging to read a strategy document written that way. That’s an effective sequence for creating a strategy, but it’s a challenging sequence for those trying to quickly read and apply a strategy without necessarily wanting to understand the complete thinking behind each decision.

As cloud computing continues to evolve, businesses must adapt to harness the full potential of these developments.

With platform engineering at the helm, the future of cloud native development is poised for unprecedented growth and transformation.

Applied to the API landscape, a platform provides consistency for technology and workflows, which simplifies the developer experience for API consumers.

You might have heard of TLA+, but how do you use it for debugging? FizzBee is a new formal methods system that you can grasp in just a weekend.

DSNP establishes a shared social graph no longer dependent on a specific app or centralized platform.

wingolog: article: on hoot, on boot

Recall uses AI features "to take images of your active screen every few seconds."

A dive deep into the design of Amazon MemoryDB, an in-memory database.

Learn about Merkle Directed Acyclic Graphs (DAGs) and why they're important to IPFS.

Explore the ins and outs of CIDs (Content Identifiers), the unique labels used to point to data stored on distributed information systems including IPFS, IPLD, libp2p, and Filecoin.

Learn how we can use CIDs to create content-addressable data structures for the distributed web!

Learn how hashing and content addressing enable verifiable data sharing with peers on the decentralized web.

It is all about integers

Base58 is a character encoding system developed by Satoshi Nakamoto. It was first released on the earliest Bitcoin source code tree. Satoshi felt that a new encoding was necessary for Bitcoin’s addresses and transactions, since he thought the existing ones, like Base64, would cause confusion when writing down Bitcoin addresses and TX hashes. In essence, […]

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG).[1] While it is one of several forms of causal notation, causal networks are special cases of Bayesian networks. Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases.

Learn about the Specification Design Pattern in C# and its benefits for your code. See how this pattern can improve code quality and how to implement it!