Microservices architecture is an architectural approach that connects independent business functionalities in the form of microservices to build complex business applications. Leveraging microservices architecture, a large application can be built as a suite of modular components or services.
It is easier to build and maintain a complex application when broken down into many small pieces that work together. Each layer has its own small team working on it so they are completely decoupled and separated from each other, allowing each service to run its own unique process and communicate autonomously without depending on the other teams or applications.
The ability of being separated and recombined, protects the entire system from getting outdated over time and better facilitates agile processes, making it an appealing method for organizations to adopt, especially for those who are still utilizing monolithic architecture.
With monolithic architecture, an application is built as a single unified system, which is usually one code-base. A monolith is often deployed all at once, both front-end and back-end code together, regardless of changes.
One of the key advantages of monolithic architecture is that most apps typically have a large number of cross-cutting concerns, such as logging, rate restricting and security features.
Having a large application means there’s only one application with the need to set up logging, monitoring, testing. It’s also generally less complex to deploy.
There can also be performance advantages since shared-memory access is faster than inter-process communication (IPC).
Monolithic app services tend to get compactly coupled and entangled as the application evolves, thus making it difficult to isolate services during independent scaling or code maintainability.
Monolithic architectures are harder to understand, because there may be dependencies, side-effects, which are not obvious when you’re looking at a particular service.
Microservice architectures are generally better organized, as each microservice has a very specific job, and is not concerned with the jobs of other components.
If one microservice fails, the others will continue to work
Under the right circumstances, microservices can also have performance advantages depending on how they’re organized because it’s possible to isolate hot services and scale them independently.
Using open-source continuous integration tools
The code for different services can be written in different programming languages
When compared to monolithic architecture, Microservices architecture is very complex and requires trained resources to understand
Microservices are mostly deployed on their own virtual machines or containers, causing rapid growth of VM wrangling work.
The team is small, between 3-5 members, and is thus unable to tackle a broader and high-overhead microservices architecture.
If it’s a new idea, it is likely going to pivot and evolve over time, so a monolith is ideal to allow for rapid product iteration. The same applies to a proof of concept where the goal is just to learn quickly, even if you end up throwing it away.
If the team has no prior experience with microservices unless they can justify taking the risk of learning “on the fly” at an advanced stage, it’s likely another sign that they should stick to a monolith to start.
Microservices allows for a quick, self-supporting delivery of individual parts within a larger, integrated system. Basically, depending on the team size or the growing business needs, it can take time to see service delivery gains versus starting with a monolith.
Starting with microservices gets the team used to developing in separate small services from the beginning, and having teams separated by service boundaries makes it much easier to scale up the team size and business without introducing exponential complexity. This can even get frequently automated with container fleet management tools.
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