Modern cloud-native systems often fall victim to their own scale. A single misconfigured deployment or localized infrastructure degradation can quickly cascade across an entire distributed system, compromising the service for all users simultaneously. When architectural boundaries fail to contain faults, engineering teams face catastrophic service level agreement breaches and prolonged recovery ti
🎓 Contexto acadêmico Universidade de Marília Disciplina: Projeto de Vida e Soft Skils Professor: Gustavo Comassi Autora: Jhenifer Gonçalves Januário Marília - SP | 2026 Com a evolução das aplicações para arquiteturas distribuídas, especialmente com o uso de microserviços, os sistemas deixaram de ser centralizados e passaram a ser compostos por diversos serviços independentes. Cada ser
I needed to coordinate background scripts running across different machines. The obvious answer was Redis. Everyone uses Redis for this. The tutorials all use Redis. The Stack Overflow answers all say "just use Redis." So I looked at what deploying Redis would actually cost me: A running Redis server I had to maintain A broker to connect workers to it Celery or RQ on top of that Memory-based stora
Imagine you run a bustling coffee shop. In the beginning, you take orders, make the coffee, and serve pastries all by yourself. It works perfectly when you have a handful of customers. But as the crowd grows, you become the single point of failure. If you are stuck making a complex latte, the simple drip coffee line grinds to a halt. In software engineering, this "one-person shop" represents a mon