With people switching to a cloud-native strategy, we need an architecture that supports it. A variant of Service-oriented architecture, microservice architecture has been instrumental in diversifying services in the digital world.
Let’s look at some reports:
Microservice Architecture Diagram
In a microservice architecture, services are loosely coupled and independent of each other. To put it simply, let’s consider an e-commerce platform, if there is an error with the cart, it’s not going to disturb other functioning like login, checkout, browsing, payment, etc. If it’s monolithic architecture, the entire system would go down. Thereby, not allowing anything to happen.
Platforms based on healthcare and financial services, find it essential to isolate sensitive data, and process them separately. This sensitive data comes under Protected Health Information (PHI) and Personal Identifiable Information (PII). While handling PHI & PII information, companies need to adhere to specific security measures and compliance standards like GDPR and SOC2. It becomes crucial to identify information that requires access to PHI & PII data and treat them separately with better oversight, auditing, and governance.
Microservice architecture distributes the responsibilities among different members, teams, or departments. Enabling teams to make decisions independently and develop software autonomously. The microservices-based architecture enforces a modular structure that enables downsizing teams. This further helps in boosting developer productivity as their attention is directed towards a single service.
The microservice architecture benefits from this majorly as the division of responsibilities is a lot easier. In fact, building individual services might sound simple in theory but is a lot more complex practically. When we are decomposing an application into individual services, things work smoother if there’s a sizeable team building a single service.
One of the prime microservice architecture benefits is the flexibility to use various technological bases while developing individual services. This simply implies that the engineering teams need to maintain diverse tools for the maintenance of these microservices, only because each service is using different technology.
Here, every microservice component is different not because of any technical requirements but based on the personal preferences of the developer. It not only becomes a skill problem when developers switch teams but also scales down all operations when the application goes into maintenance mode. As suddenly we require more manpower and resources to maintain the application, given the technological diversity.
From a financial standpoint, it involves more cost both in terms of maintaining skills and runtime resources.
A microservices-based architecture enforces a modular structure wherein an application is broken down into multiple independently deployed microservices. The difference arises here – when we were working with a monolithic architecture, all the dependencies were hidden and coded in the dependency rules between the components.
In a microservice architecture, all these dependencies have to be coded in the infrastructure configuration (bringing in the concept of Infrastructure as code). That includes maintenance and provisioning of the infrastructure.
Another point to note is that in a monolith the communication happened as an in-memory call, whereas talking about microservices the communication moves in between the processes, possibly over a network. This brings in new challenges like latency and speed penalties. Suppose we are calling a remote microservice in a loop, it adds latency at every loop iteration, making the service call unusable.
A possible solution to this problem is if we design our services in a way that avoids loops around service calls.
If you have already considered migrating to microservice architecture you’re obviously planning to migrate your existing monolithic application, where you break every single domain into a new service.
When we know that a microservices-based architecture enforces a modular structure, so when a monolith is decomposed into new individual components, we have to introduce new connections and their dependencies. Now calling microservices from the traditional application can be a little troublesome. Why? Because there might arise some problems due to missing transaction management as they all were intertwined in the monolith.
The software architecture style is all about pushing the product to its full potential. It’s not about following the rules of any architectural pattern and building it according to the style. It is more of a journey to understand how exactly we can make our service delivery seamless. If you really think your product deliverability can be amplified with microservice architecture, you should absolutely go for it.
Today we see a lot of Enterprise-grade managed microservices platforms emerging in the market. With the help of these platforms, DevOps teams can manage and deploy Microservices across environments. Ensure the microservices are production-ready to reduce time-to-market, enhance app stability and augment app security.
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