Microservice is a specific method of developing the applications that have grown in status in recent years. In fact, even though there isn’t a whole lot out there on what it is and how to do it, for many developers it has become a preferred way of creating enterprise applications.
This microservice architectural method is measures predominantly ideal when you have to enable support for a range of platforms and devices—spanning the web, mobile, Internet of Things, and wearables—or simply when you’re not sure what kind of devices you’ll need to support in an increasingly cloudy future.
While there is no standard, formal classification of microservices, there are certain characteristics that help us identify the style. Essentially, microservice architecture is a method of developing software applications as a suite of independently deployable, small, modular services in which each service runs a unique process and interconnects through a lightweight mechanism, well-defined to serve a business goal.
How the services connect with each other depends on your application’s requirements, but many developers use HTTP/REST with JSON. DevOps experts are, of course, free to choose any message protocol they think suitable, but in most situations, REST (Representational State Transfer) is a useful incorporation method because of its moderately lower complexity over other protocols.
To begin to know microservices architecture, it helps to deliberate its opposite: the monolithic architectural style. Not like microservices, a monolith application is always built as a single, autonomous unit. In a client/server application model, submitting the request to server side is a monolith that handles the HTTP requests, executes logic, and retrieves/updates the data in the primary database.
The problem with a monolithic application design, though, is that all change cycles usually end up being tied to one another. The adaptation made to a small section of an application might require building and be deploying an entirely new version. If you need to scale exact functions of an application, you may have to scale the entire application instead of just the desired components. This is where creating microservices can come to the rescue.
SOA vs. Microservices
The typical Service-Oriented Architecture (SOA) model, for example, usually has more dependent ESBs, with microservices using more rapidly messaging mechanisms. SOA also focuses on commanding programming, whereas microservices architecture focuses on a responsive-actor programming style. But the actual difference has to do with the architecture methods used to arrive at the recombined set of services in the first place.
Since all changes in the digital world, agile development techniques that can retain up with loads of software development are invaluable. Most of the observer used in microservices architecture come from developers who have produced software applications for large enterprise organizations, and who know that today’s end users expect dynamic yet reliable experiences across a wide range of devices.
High Availability, Scalable, adaptable, modular, and quickly accessible cloud-based applications are in high demand. And this has controlled many developers to change their approach.
Microservice Pros and Cons
One collective issue involves sharing schema/validation logic across services. What application A requires in order to consider some data valid doesn’t always apply toapplicationB, ifapplicationB has different needs. The top recommendation is to apply versioning and distribute schema in shared libraries. Changes to libraries then become discussions between teams. Also, with solid versioning comes dependencies, which can cause more overhead.
The best practice to stunned this is planning around backward compatibility and accepting regression tests from external services/teams. These rapid you to have a conversation before you disrupt someone else’s business process, not after.
Whether or not microservice architecture is right for you, it depends on your requirements, because they all have their pros and cons. Here’s a quick rundown of some of the good and bad:
A microservice can be developed by a small team (3-4)
Microservice architecture gives developers the freedom to individually develop and deploy services
Code for different services or components can be written in different languages
Easy integration and automatic deployment (using open-source continuous integration tools such as Jenkins, Hudson, etc.)
Easy to understand and modify for developers, thus can help a new team member become productive quickly
The developers can make use of the latest technologies
The code is well organized around business capabilities
Starts the web container more quickly, so the deployment is also faster
Microservices better fault isolation: Example. if one microservice fails, the other service will continue to work
Easy to scale and integrate with third-party services
No long-term commitment to technology stack
When code change is required in a certain part of the application, only the related component/service can be modified and redeployed—no need to modify and redeploy the entire application
Due to distributed deployment, testing can become complicated and tedious
Increasing number of services can result in information barriers
The architecture gets additional complication as the developers have to moderate fault tolerance, network latency, and deal with a variety of message formats as well as load balancing
Being a distributed system, it can result in duplication of effort
When number of services increases, integration and managing whole products can become complicated
The architecture usually results in enlarged memory consumption
The Future of Microservice Architecture
Whether or not microservice architecture becomes the ideal style of developers in future, it’s clearly a powerful idea that offers thoughtful benefits for designing and applying enterprise applications. Many developers and organizations, without ever using the name or even labeling their practice as SOA, have been using an approach toward leveraging APIs that could be classified as microservices.