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I am not convinced that microservices always causes less coupling as you claim. Sometimes the coupling just jumps into the network/API layer. (Why would it not
by dagss 8y ago
I am not convinced that microservices always causes less coupling as you claim.
Sometimes the coupling just jumps into the network/API layer. (Why would it not?) This can happen unless your initial divison into services was perfect (and if you indeed have that much foresight, there would be no reason why a monolith would accrue tech debt either, there would be no temptation to add debt).
The main difference is that when you discover that the initial divison into "Responsibilities" were wrong, it is easier to change and come up with another set of "Responsibilities" in a monolith and deploy the refactored service as a unit.
You talk as if you can just initially define the Single Responsibility then things will be fine. But where I have seen real failure is in identifying those initial responsibilities and choosing the wrong way to look at the total system.
My experience is with monoliths having less coupling and I suspect that the cause is that monoliths are easier to refactor as the requirements change; refactoring the very structure of the service mesh while keeping things running is such a big task that one is more tempted to start adding hack in the API layer.
Yes, one is then violating the Single Responsibility Principle. But if an organization sits there and needs to change the requirements within some deadline -- it is not going to spend 3x the cost and time because a hack violates some principle -- and the alternative is the wrong service taking on some extra work.
If you want to retort "but then they are doing microservices wrong" then I say No True Scotsman. And one could say exactly the same about monolith tech debt too..
- mlthoughts2018 8y ago> “The main difference is that when you discover that the initial divison into "Responsibilities" were wrong, it is easier to change and come up with another set of "Responsibilities" in a monolith and deploy the refactored service as a unit.” This is generally not true in my experience, because the degree of implementation-sharing and reliance on common leaked abstractions is so high in monolith codebases. Through great concerted effort, some highly disciplined teams might not fall into that ubiquitous problem of monoliths and for those exceedingly rare teams your way of thinking could work. But this is so rare it is inapplicable when considering which approach to use in general cases. I’ll also say that I’ve worked on several monolith services and several microservices stored in dozens to hundreds of separate repos. The tooling cost to make either pattern work at scale was the same, but refactoring was so much easier with polyrepos that each isolated services. Just spin up a new repo and redraw the service boundaries. Finally, many times services become associated with a fixed, versioned API, and must support backward compatibility for long periods of time. In these cases, redrawing service boundaries is usually not desirable regardless of initial mistakes, until you hit a point when you can release a new major version of the services. In the polyservice / polyrepo case, this is very easy, and the repos and separated code for v2 need not have anything to do at all with v1, and can be developed entirely in parallel, with mocked out assumptions of service boundaries or reliance on legacy v1 stuff.