Name: Microservices: when to choose it, how to migrate painlessly, & make it resilient
Rating: 3.6 (2593 reviews)
Author: mohanarpit

TL;DR style notes from articles I read today.

Microservices architecture adds huge complexity overheads on your infrastructure & may not be suitable for a new project from the start.
As a developer, you take on a lot of communication and coordination in addition to coding.
Even successful companies using microservices today started as monoliths.
When you start with a single team and a single product, it is logical to continue with a monolithic application.
Later, teams can split to be responsible for single services. Microservices may make better sense after that growth and when necessary experience and expertise is gained.

Full post here, 4 mins read

Draw domain lines to define and document your business entities early on. Be mindful of how you cross the boundaries between these entities.
Document your URL route domains and ensure everyone follows the one convention.
Be explicit about routes and methods. Avoid wildcard routes and wildcard verbs or HTTP methods.
Assign URL endpoint ownership for clean formation of teams in the future.
Monitor URL usage by instrumenting the endpoints - at least graph the request rate, if not the error rate and performance of every HTTP endpoint you expose.
Kill dead code - delete it, not just comment on it. Have source code control for history, if needed.
Document the environment variables a service, class or module uses.

Full post here, 8 mins read

Test your system using chaos strategies.
Have a plan to at least partially fulfill your service promise in case of a fault, whether it is a canned message or calling a different service as a backup.
Be conservative in what you send to a service and liberal in what you accept. Your unmarshalling logic should do just enough validation of responses and pull out just the data you need rather than executing a full validation.
When services fail, multiple iterations of the same message should not add inconsistencies to your users’ systems.
Use infrastructure that filters out duplicates. Or, track unique identifiers in the messages and discard those that are already processed successfully.

Full post here, 7 mins read