๐ช๐ต๐ฎ๐ ๐ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ฒ๐ฑ ๐ณ๐ฟ๐ผ๐บ ๐๐ต๐ฒ ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: ๐ง๐ต๐ฒ ๐๐ฎ๐ฟ๐ฑ ๐ฃ๐ฎ๐ฟ๐๐.
I recently read the book โ๐ฆ๐ผ๐ณ๐๐๐ฎ๐ฟ๐ฒ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: ๐ง๐ต๐ฒ ๐๐ฎ๐ฟ๐ฑ ๐ฃ๐ฎ๐ฟ๐๐โ by Neal Ford, Mark, Richards, Pramod Sadalage & Zhamak Dehghani. The book is mainly related to breaking monolith applications into microservices and could be an excellent companion to the book โMonolith to Microservices,โ by Sam Newman.
The book emphasizes the step-by-step approach of breaking down monolith, with different patterns for each step and balancing tradeoffs for those patterns. The book is titled โHard Parts,โ yet most of the concepts in the book are familiar.
Here are ๐๐ต๐ฒ ๐๐ต๐ถ๐ป๐ด๐ ๐ ๐น๐ถ๐ธ๐ฒ๐ฑ from the book:
1. The most essential architecture skill is how to make decisions and balance trade-ffs
2. Advice on how to do a modern tradeoff analysis:
๐น Find what parts are entangled together.
๐น Analyze how they are coupled to one another.
๐น Assess tradeoffs by determining the impact of change on interdependent systems
3. The main modularity drivers are:
๐น Speed-to-market, achieved by architectural agility, i.e., the ability to respond quickly to a change.
๐น Scalability, where the need for more scalability support increased user activity
๐น Fault tolerance, the ability of an application to fail and continue to operate
4. Breaking down monolith with the two methods:
๐น Component-based decomposition (if monolith is modular): it applies different refactoring patterns for extracting components to form a distributed architecture in an incremental way
๐น Tactical forking (if the monolith is a big ball of mud): copy the whole monolith and remove the part not needed
5. Sizing components
๐น Calculate the total number of statements (with ;) with a given component โ the ideal size of 1 to 2 standard deviations from the average component size.
Here are ๐๐ต๐ฒ ๐๐ต๐ถ๐ป๐ด๐ ๐ ๐บ๐ถ๐๐๐ฒ๐ฑ in the book:
1. Although the book is abstract (as expected from architects), it doesnโt go into any implementation details or technologies or mention architectural patterns.
2. The book follows Sysops SAGAโs fictional story, whereas a real-life example would be more worthwhile. In this way, some things would sound artificial or forced.
3. I need to catch the data, as the book makes many assumptions. As it is not backed with any real-life project (pricing, etc.), we are still determining what metrics we would get.
4. I missed the structured approach. It started well with essential concepts, such as modularity and decomposition, and then twelve immediately into components and pulled apart data. Then, it went to service granularity and reuse patterns and data ownership and access patterns later.