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If we need to apply any business logic over the results of the service A, B and C, then we can implement the business logic in the aggregator itself.An aggregator can be again exposed as another service to the outer world, which can be consumed by others whenever required. If the data that you want is actually somebody else's data, well, at the moment, the only other people that own data is the monoliths. It's not, right? Well, we've got kind of two options. Microservice is all the rage. The book provides examples of metaphors that can for instance be used to nurture teamwork, manage change, focus on objectives and personal reflection, and also provides recommendations for facilitating retrospectives beyond a single team.The panelists discuss DevOps buzzwords and when and where they might have value for organizations seeking performance improvements.Sam Newman shares some key principles and a number of patterns to use to incrementally decompose an existing system into microservices.

Half of all the clients I've worked with over the last three years, I have told them, "Microservices are not for you."

We've added a network hop here.

The problem with this is that people tend to not be very good at defining module boundaries, or more to the point even if they are good at defining module boundaries, they're not very good at continuing to have discipline about how module boundaries are formed. Sometimes it can purely start from how you do your software development process.Some people misunderstand fundamentally the release train. Now you're just going to delete that class, it's gone. I'm just going to rewrite the invoicing functionality." Well, first thing is what kind of data is that you want?

Sometimes the right answer is to merge it back into being a single process monolith. Maybe I'm going to remove the flag once it's no longer needed. It's not just, "Did I create the right email?

How am I going to sort of rip it out of the existing monolithic architecture?" Because we've broken our code down into those modules, this does give us a degree of independent working. Sometimes it's not where your service boundaries are. It's loads of great ideas about how you find these abstractions. I've deployed my new invoicing service. They're going to hit you in production. If you're lucky, you might be able to actually reuse that code.Coming back to our example of a strangler fig implementation. I haven't actually got any separation between what is shared and what is hidden.Again, coming back to cutting edge ideas in the 1970s, David Parnas developed this concept called information hiding, which is how we think about modular decomposition.

I can do that safely. Move this over to services, we'd enter into a very different world. That gives us our ability to make sure it's working and spot problems before the end users of our software spot these problems.Fundamentally, what we're trying to do here is separate these two concepts in our heads that previously had been bound together. Eventually, we found out that for reasons known only to the networks team, that all traffic between these two services that were in London was being routed via Luxembourg. How far along the spectrum should you be? It's in the production environment. Calls usually go straight into your monolithic system. If it's not, you can back it out straight away and dive deep into what the problems are.The next thing we're going to do is to start working on our brand new service. Don't do direct database access, except in an extremely limited number of circumstances.We don't want this. I've done this with message interceptors. Domain-driven design has some great ideas in it that can help us find our service boundaries. Join operations like this are horrendous in terms of latency. You've got to think really carefully about if they're right for you.A round-up of last week’s content on InfoQ sent out every Tuesday. Eventuate is Chris's latest startup. For whatever reason, we have to deploy the entire system together as part of a lockstep release.

What we want to make sure is that our new microservice base implementation has the same functional equivalency.

Now, this looks really odd, but this ultimately is a hedging architecture. Following is the diagrammatic representation of Branch Microservice.Branch microservice pattern allows the developer to configure service calls dynamically. Eventually, we can get rid of the old one.GitHub do this a lot.



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