Microservice Patterns to Design and Implement Any Java-Based Event-Driven Microservices Application | HackerNoon

'Microservice Patterns to Design and Implement Any Java-Based Event-Driven Microservices Application' java microservices

One of the key decisions that you have to make when architecting a system using microservices is figuring out how to partition your application into a set of microservices. So, in this blog, Java Developers have described various partitioning strategies that you can use. It is important to remember that one of the goals of partitioning is to enable parallel or concurrent development.

You can think that one of the goals of ACID transactions is to ensure consistency or, in other words, enforce these invariants. But then, if we decompose the system into services where we've got order management service that holds the orders and customer management service that holds the customers, how do we enforce an invariant that is spanning those two services? We want to be able to partition up our system. But we also need to enforce consistency.

And in some cases, even if they're written in Java, they might be using different versions of Java or different versions of the Spring framework, for example.At runtime, each service will have many service instances. You may have a general idea of a service, such as a catalog service or a payment service. So there's a snippet of code there.

And ideally, we want to be able to constrain the resources that are to given service users. We want to just say, it can use this much CPU. It can use this much memory and It can use this much bandwidth. We don't want a service just kind of growing arbitrarily and eating up all of the available memory.There are a few different strategies that you can use.

So regardless of whatever technology you've used to implement your service, you package it up as a container and give it to someone to deploy-- the interface is the same here as it is just, starts the container. Stop the container. So that makes deployment a very reliable process. There is usually a mismatch between the fine-grained microservices and the client's requirements. So, the client that is displaying a web page just needs a large amount of information about a product. However, that information is dispersed over a number of services. The review data is held by the review service. The product info service has the product info, whereas the recommendation service has the recommendations.

So, here's an example of the situation. So, on the left, you've got both a traditional service-side web application that's accessing the microservices on a local area network. And then you also have a mobile client. It might be some JavaScript running in a mobile browser. Or it could be a native app. And it's accessing the application over a mobile network.

Rather than giving a one-size-fits-all API to all of their streaming clients, they decided to create their own. What they decided being is in what you could consider being an API gateway, they run client-specific server-side code that provides each client with its own custom API that's well-suited to the needs of that client. And then when a request comes in, that gateway code actually translates that request into calls to various back-end services.

A variety of patterns are there can be chosen. There's client-side discovery, service-side discovery, and the service registry pattern, to name a few. So, the problem of discovery is this. So, you have a client that wants to invoke a service. That service consists of various service instances. And there are a couple of different issues that make knowing the network location a little challenging.

And the Product service's other service instances would do the same thing. When a client wishes to make an HTTP request to the product catalog, it first looks up the service registry to see which service instances are available. And the service registry would indicate that they're running on a particular port and IP address. The request can then be load-balanced between those service instances by the client.

You have a lot of flexibility. Also, there are very few network hops. The clients just talk directly to the services. And other than having a service registry, there's no other infrastructure component involved. one drawback is that the client has to know about the service registry.The whole issue of having to have a smart client accessible for a range of frameworks is a bit of a pain. Server-side discovery is an alternative way that overcomes this issue.

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