System Architecture

System Architecture

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#18: The PACELC Theorem
#18: The PACELC Theorem
The PACELC theorem provides a more comprehensive framework for reasoning about distributed systems, ensuring we consider both partition scenarios and the real-time impact of latency.
·thecoder.cafe·
#18: The PACELC Theorem
The Dual Nature of Events in Event-Driven Architecture
The Dual Nature of Events in Event-Driven Architecture
Given that events play such a central role in event-driven architecture, there’s an astonishing lack of agreement on what should be contained in an event. This may be rooted in the fact that, depending on your perspective, events fulfill different purposes.
·reactivesystems.eu·
The Dual Nature of Events in Event-Driven Architecture
Technology readiness level - Wikipedia
Technology readiness level - Wikipedia
Technology readiness levels (TRLs) are a method for estimating the maturity of technologies during the acquisition phase of a program. TRLs enable consistent and uniform discussions of technical maturity across different types of technology. TRL is determined during a technology readiness assessment (TRA) that examines program concepts, technology requirements, and demonstrated technology capabilities. TRLs are based on a scale from 1 to 9 with 9 being the most mature technology.
·en.wikipedia.org·
Technology readiness level - Wikipedia
Vector Databases Are the Wrong Abstraction
Vector Databases Are the Wrong Abstraction
Today’s vector databases disconnect embeddings from their source data. We should treat embeddings more like database indexes—here’s how.
·timescale.com·
Vector Databases Are the Wrong Abstraction
🚀 Speeding Up MP3 Compilation by 380%
🚀 Speeding Up MP3 Compilation by 380%
🚀✨ We've supercharged audio compilation speed for Prayershub by an incredible 380% using caching strategies in Golang! 🎶🙏 This means faster, seamless worship sessions where songs, scriptures, and prayers blend effortlessly—enhancing the worship experience for everyone! 🙌💖
·poxate.com·
🚀 Speeding Up MP3 Compilation by 380%
Do's and Don'ts of Storing Large Trees in PostgreSQL
Do's and Don'ts of Storing Large Trees in PostgreSQL
I have been operating a tree of millions of nodes in PostgreSQL. Here are some of the things I wish I knew before I started.
·leonardqmarcq.com·
Do's and Don'ts of Storing Large Trees in PostgreSQL
Modeling Hierarchical Tree Data in PostgreSQL
Modeling Hierarchical Tree Data in PostgreSQL
An introduction to storing hierarchical tree and graph data structures in a PostgreSQL database, using recursive CTE, ltree materialized paths and other schema design techniques.
·leonardqmarcq.com·
Modeling Hierarchical Tree Data in PostgreSQL
Understanding The HTTP Deprecation Header | Zuplo Blog
Understanding The HTTP Deprecation Header | Zuplo Blog
The HTTP Deprecation header informs clients that an API endpoint is or will be deprecated. The date can be in the past (deprecated) or future (to be deprecated).
·zuplo.com·
Understanding The HTTP Deprecation Header | Zuplo Blog
Participatory Culture Foundation - Wikipedia
Participatory Culture Foundation - Wikipedia
The Participatory Culture Foundation (PCF) is a non-profit organization based in Worcester, Massachusetts.[1] Its primary project is a free and open-source software Internet television platform called Miro, formerly called the Democracy player.[2][3] It is also the developer of Broadcast Machine, an open-source video publishing tool.[1]
·en.wikipedia.org·
Participatory Culture Foundation - Wikipedia
Windows NT vs. Unix: A design comparison
Windows NT vs. Unix: A design comparison
NT is often touted as a "very advanced" operating system. Why is that? What made NT better than Unix, if anything? And is that still the case?
·blogsystem5.substack.com·
Windows NT vs. Unix: A design comparison
#11: Concurrency Is Not Parallelism
#11: Concurrency Is Not Parallelism
Parallelism can exist without concurrency, but concurrency can enable parallelism as it provides a structure to solve a problem with parts that may be parallelized.
·thecoder.cafe·
#11: Concurrency Is Not Parallelism
Architecture Inversion: Scale by Moving Computation, Not Data
Architecture Inversion: Scale by Moving Computation, Not Data
The biggest players’ scaling tricks are becoming increasingly relevant for the rest of us, which has led to the proliferation of architecture inversion.
·thenewstack.io·
Architecture Inversion: Scale by Moving Computation, Not Data
How Cell-Based Architecture Enhances Modern Distributed Systems
How Cell-Based Architecture Enhances Modern Distributed Systems
Cell-based architecture has emerged as a response to many challenges associated with distributed systems. It employs the bulkhead pattern to isolate failures to a fraction of the affected infrastructure footprint and prevent widespread impact. Cells can also help organize large architectures into domain-bound deployment and delivery units, which provides essential sociotechnical benefits.
·infoq.com·
How Cell-Based Architecture Enhances Modern Distributed Systems
Channel capacity of a telegraph
Channel capacity of a telegraph
Claude Shannon's famous paper A Mathematical Theory of Communication [1] includes an example saying that the channel capacity of a telegraph is log2 W where W is the largest real root of the determinant equation Where in the world did that come from? I'll sketch where the equation above came from, but first let's find
·johndcook.com·
Channel capacity of a telegraph
#9: Unit Tests As Documentation
#9: Unit Tests As Documentation
Unit tests are always in sync with the code, making them a poweful tool for up-to-date documentation.
·thecoder.cafe·
#9: Unit Tests As Documentation