Explains the unreliability of Django signals in critical workflows and proposes a robust alternative using background tasks for fault tolerance.
A guide to using Azure Chaos Studio for controlled reliability testing, turning assumptions into evidence through safe, structured chaos experiments.
An introduction to distributed systems, covering core challenges and recommended learning resources like the book 'Designing Data-Intensive Applications' and the MIT course.
A simple, five-step formula for building trust through reliability, clear communication, and consistent action in work and life.
An analysis of Twitter's most severe cache-related incidents from 2012-2022, exploring patterns and knowledge loss.
Explains how naming database connections aids in debugging outages and performance issues in shared database environments.
The article outlines four core principles for building quality software: robustness, reliability, stability, and simplicity.
A technical talk summary on building reliable software systems, covering key concepts, books, and practices from Site Reliability Engineering (SRE).
