Due to the speed of technological evolution, one of the concepts that has attracted a lot of attention and changes the way we interact with digital systems is edge computing.
Event-driven architecture (EDA) is a software design pattern that has become increasingly popular in modern software development. In this architecture, the flow of data is determined by the occurrence of events. Unlike traditional centralized systems that are constantly checking for new status. Event-driven architecture is especially useful for systems that need to process large amounts of data in real-time.
As today's applications become more complex and distributed, it is critical to have a robust monitoring and analytics system in place to track system performance, availability, and health. A scalable distributed system usually consists of several components that work together to achieve the desired performance. These components can run on different servers, data centers or even different continents. In this article, we'll discuss the importance of monitoring and analytics in a scalable distributed system and some best practices for implementing them.
CockroachDB is a distributed SQL database designed to provide scalability, high fault tolerance, and consistency.
In the world of computing, scaling is the process of adding more resources to an existing system to handle increased demand. This can be achieved through two methods: vertical scaling and horizontal scaling
Elasticsearch is a search and analysis engine that allows storing, searching and analyzing large volumes of data at high speed.
Cassandra database is a distributed NoSQL database that is used to manage a large amount of data on multiple servers. The main reasons for the popularity of this database are its high fault tolerance and accessibility.
