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In distributed systems, ensuring data consistency and preventing race conditions is a major challenge, especially when many processes or services access shared resources concurrently. A distributed lock is an effective way to handle this problem. In this article, I will help you understand what a distributed lock is, why it is needed, the different ways to implement one, and how to build it with Redis.
Have you ever wondered what keeps payment services, social networks, and delivery apps running smoothly every single day? The secret lies in the Message Broker - the "invisible connector" that moves information safely and efficiently between systems. Let's explore what a Message Broker really is!
When counting rows in a table, we reach for the count function out of habit. But the count function accepts several kinds of arguments, such as count(1), count(*), count(field), and so on. So which form of count delivers the best performance?