Python Microservices Development

Scaling and deployment

Finally, having your application split into components makes it easier to scale depending on your constraints. Let's say you start getting a lot of customers who book hotels daily, and the PDF generation starts to heat up the CPUs. You can deploy that specific microservice in some servers that have bigger CPUs.

Another typical example are RAM-consuming microservices like the ones that interact with memory databases like Redis or Memcache. You could tweak your deployments, consequently, by deploying them on servers with less CPU and a lot more RAM.

We can, thus, summarize the benefits of microservices as follows:

• A team can develop each microservice independently, and use whatever technological stack makes sense. They ...