Scaling up may be complicated if the product architecture isn’t designed to be scalable, which is often the case with monolith applications. In such a scenario, you have two options: allocate even more resources and spend a fortune to scale vertically or reorganize your application using microservices architecture on AWS and scale horizontally cost-effectively. We’d always go for the second option – implementing microservices infrastructure.
Going for microservices can be of great use for any SaaS provider. But what are microservices, exactly? Let’s review the advantages of microservices architecture in AWS and how to implement it. You’ll also find some real cases from Relevant Software’s portfolio below, so keep reading.
We provide companies with senior tech talent and product development expertise to build world-class software. Let's talk about how we can help you.
Contact usTable of Contents
AWS characterizes microservices as autonomous software components with specific functionalities that operate independently and are governed by smaller, self-sufficient teams. Well-defined APIs help these microservices interact with each other, facilitating polyglot development. This implies that software engineers are free to select tools suited best for each function a microservice executes instead of being limited to one programming language.
You can build, update, scale, and manage every microservice separately, which immensely advances the pace of innovation, as well as the cost-effectiveness of infrastructure management, in contrast to the development of monolithic apps.
Monolithic applications operate through closely coupled processes that are dependent on one another to function. So, if one process fails, it hinders the functionality of the entire application. In instances when the whole process experiences a surge in demand, it requires scaling up the complete application. The worst of it is that over time, the code becomes bulky and really complex, so introducing new features or adjusting existing ones will be a time-consuming and labor-intensive task.
By contrast, in microservices, all processes are decoupled and operate within distinct code envelopes (Docker containers), so you can scale, modify, or restart them independently. Each microservice executes one particular function, and communication amongst them is performed through well-defined interfaces and lightweight, consistent APIs. The best part is that even if the code of a microservice grows more complex over time, you can effortlessly divide it into other microservices without compromising the performance of the entire application.
An AWS microservices example that illustrates this is the Amazon.com retail website, which utilizes microservices for individual functionalities like user recommendations, product catalog, and customer order services, showcasing the scalability and independence of each service.
Aside from cost-efficiency, going for microservices-based software development provides various benefits:
Microservices are widely regarded as the best option for developing applications in the cloud. The rapidly expanding global microservices architecture market reflects this trend, as it’s anticipated to grow from $5.31 billion in 2023 to approximately $21.61 billion by 2030, exhibiting a CAGR of 18.66%.
The simplicity of microservices implementation can vary across different cloud providers. AWS microservices architecture, for one thing, can be a perfect choice for deploying and running an application of any scope.
Microservices AWS (Amazon Web Services) is a top choice for launching applications, as evident from Amazon’s lion’s share of the global cloud infrastructure market, which is 32%. This cloud platform’s wide range of IaaS, PaaS, SaaS solutions, and SDK packages makes microservices architecture on AWS a prime solution. It provides tons of foundational elements to meet the software tech requirements of any complexity and scale. That’s why it’s so popular among AWS customers. So, what are the main Amazon’s offerings:
Image credit: Statista
AWS microservice allows you to configure the requisite architecture and choose any operating system, database, framework, programming language, or other essential services. This adaptability not only simplifies the migration of existing apps but also lets you develop new applications from the ground up much faster.
Opting for microservices with AWS was the right choice for Relevant Software. We leveraged detailed guides on deploying Java and Node.js microservices on Amazon EC2 and building containerized microservices using Docker containers on AWS. This allowed us to follow best practices and build scalable, cost-efficient, and highly performant infrastructures for our customers.
The basic microservice architecture in AWS looks like this:
This orchestrated workflow offers limitless scalability for both the front end through CloudFront CDN and the back end via ECS. Moreover, advanced caching mechanisms and secure data storage solutions strengthen the application’s resilience.
There is a great detailed step-by-step guide on implementing microservices on AWS, and to save your time, here’s the essence of it.
This phase is critical as it shapes the foundation of your AWS microservice architecture and ensures that it is aligned with your business objectives. So, thorough planning at the beginning will help you prevent potential challenges and inefficiencies down the line. Here’s a breakdown of the critical steps:
Before the actual development process, you should prepare an environment to ensure it is favorable for creating and deploying microservices in AWS. It involves selecting the right tools and technologies for your project.
Now, you’re ready to materialize the architecture and actually build your microservices. So, what it takes to do, and which tools will help you with that?
Once you developed AWS microservices, you want to ensure their steady high performance, scalability, and effortless management. So, here are a few actions to do that:
At this point, your microservices in AWS are built, deployed, scaled, and hopefully are performing well. To ensure they remain robust and highly efficient with time, you should:
Just like we promised, here are some of our examples of building microservices with AWS for our clients.
One of the clients of Relevant Software, Svenn, required an upgrade and modernization of their service to facilitate integrations with numerous ERP systems. The challenges the client encountered:
AWS microservices architecture was the most optimal strategy to address these challenges. Relevant Software leveraged AWS Step Functions to implement the solution and ensure secure data processing. Now, all services use a Distributor cluster for communication that functions as a data streaming service.
The results are impressive. AWS Step Functions contains AWS Lambda schedule and rules and provides Lambda configuration. Once the input parameters from AWS Step Functions are delivered to the Lambda instance, which contains ERP systems integration logic, they are combined with input parameters from the Transformer service, issue API calls to ERP systems, and send event notifications to the relevant Information topics. This makes adding integration with a new ERP as simple as registering its API within Lambda, and AWS does the rest.
The Transformer service ingests data from ERP_SYSTEM topics, converts it into Svenn data, publishes it to relevant information topics, and provides the requisite lambda configuration.
The implementation of event messaging is executed using AWS SQS, which consumes ERP system data and events from Information and Notification topics, generating notifications to the corresponding topics to maintain messaging consistency.
FirstHomeCoach (FHC) is another AWS microservice-based solution we developed for our customers. The system features mobile and desktop clients, with microservices facilitating the required segregation between business processes and the application server. FHC uses CMS for content management, React.js on the front end, and Node.js on the back end, which communicates on AWS using Lambda functions, CloudFront, and API Gateway. Users are managed with Amazon Cognito.
Microservices are a superior option for developing, operating, and updating robust and highly scalable applications. AWS microservices offer a good deal of managed building blocks for addressing every facet of microservices implementation and provide all the essential tools a developer might need to substitute these components with open-source alternatives. This is particularly beneficial if you have the corresponding expertise and can manage your infrastructure in-house or by engaging a dedicated team to optimize the cost-efficiency of operations.
It’s worth noting that Relevant Software has extensive experience in designing, developing, and implementing microservices for our clients. Should you require our expertise, feel free to contact us. We are always at your service and ready to assist!
If you’ve been building up a stack of AI solutions that don’t quite play nicely…
Businesses integrating AI into their workflows could unlock a transformative 40% boost in workforce productivity…
No one dreams of studying regulatory documents all day. Yet, for financial institutions, that’s exactly…