August 2020
Intermediate to advanced
66 pages
1h 25m
English
Content preview from Responsible Microservices
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Chapter 4. Independent Scalability
Monoliths often force you to make decisions early, when you know the least about the forces acting on your system. Your infrastructure engineers probably asked you how much capacity your application needs, forcing a “Take the worst case and double it” mentality, leading to poor resource utilization. Instead of wild guesses, a microservice approach allows you to more efficiently allocate compute. No longer are you forced into a one-size-fits-none approach; each service can scale independently.
The Monolith Forced Decisions Early—with Incomplete Information
Let’s take a quick spin in our hot tub time machine and head back to an era before cloud, microservices, and serverless computing. Servers were homegrown and bespoke, beloved pets if you will. When developers requested a server for a new project, it would take weeks or months for it to become available.
Years ago, one of my peers requested a development database for our architecture team. It was never going to hold a lot of data, it would mostly just act as a repository for some of our architectural artifacts. One would think a small, nonproduction database could be provisioned somewhat quickly. Amazingly, it took an entire year for us to get that simple request fulfilled. Who knows why this was the case—strange things happen in traditional enterprise IT.1 But I do know that these kinds of delays incent a raft of undesirable behavior.
Sadly, this experience is familiar to most IT professionals. ...
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