ng are loosely coupled. This allows each part to scale independently based on demand. 2. Stateless Architectures Building stateless services ensures that each request is independent and doesn't rely on stored session data. This makes load balancing straightforward a
: Redis or Memcached cache frequently accessed data. Application-Level Caching: Caching responses or computational results within the application. Proper caching strategies can exponentially improve scalability, esp
aligns well with microservices and event-driven designs. Projects like Elixir, built on the Erlang VM, expand OTP’s accessibility and ecosystem, introducing modern syntax and tooling. Moreover, the rise of edge comput
and application levels. 1. Horizontal Scaling and Load Distribution Add more servers or containers as demand increases. Use load balancers to distribute traffic evenly. Ensure statelessness to facilitate easy replication and load balancing.
