Building and Delivering Microservices on AWS


When he’s not tapping on the keys, he can be found hiking, fishing and exploring both the urban and rural landscape with his kids. Always happy to help out another developer, he has a definite preference for helping those who bring gifts of gourmet donuts, craft beer and/or single-malt Scotch. You can use an open-source tool like Jenkins, CircleCI, and Travis CI to build your pipeline; or you can leverage the efficiencies of AWS CodePipeline to create a pipeline inside your AWS account. If you are considering such a move, an excellent place to start is with the 6 Strategies for Migrating Applications to the Cloud. There is no one-size-fits-all solution for organizations wishing to make a move to the cloud, and this article provides initial insights into the various options as well as a synopsis and what is involved. Also there are new companies for standardizing and automating application deployment, like Terraform, standardizing application deployment on such infrastructure using Docker.

aws microservices architecture

In a service-based architecture, communication between services is protocol-aware and services share contracts; any change to these contracts can impact the other services. Since no middleware is involved between Your Next Move: Help Desk Technician services, it makes it simple and easy to implement. Some variations of this architecture can have a lightweight integration hub in between services, which can help in translation and service orchestration.

Microservices Orchestration Best Practices and Tools

If you need help creating an app that uses microservices architecture, reach out to an app development partner. A partner will help your organization utilize and understand all available AWS microservices resources. As we have highlighted in this post, there are several tools to combat communication overload.

  • The relevance of microservices cannot be overstated in today’s market for event-driven applications.
  • You’ll need to implement an automated CI/CD pipeline if you want to leverage the benefits of a microservices architecture.
  • It works in conjunction with Butcher to kill one or more pods, handle cron jobs, and post updates to the internal Slack IRC feed used by the developer and operations teams.
  • Shepherd was basically optimized for Vinli’s infrastructure to execute a service rollover in about five seconds.
  • What you will be interested in PaaS services is to upload your program after choosing the language/framework in which your program will run.

Microservices architecture is characterized by several independent modules working together to form one application. AWS can be used for several different things, including remote computing, cloud application development, storage, email, and more. AWS Step Functions contains AWS Lambda schedule and rules and provides Lambda configuration. This makes adding integration with a new ERP as simple as registering its API within Lambda, and AWS does the rest.

AWS’ Serverless Microservices is the Future of Cloud Computing

This architecture style provides you with great flexibility to write features with no direct hardware ownership overhead. The FaaS pattern allows you to quickly create business services without focusing on server maintenance, security, and scalability. This service scales based on the demand and creates the required hardware as needed.

Can we deploy microservices in AWS?

A microservice, for example, could be deployed in a totally separate VPC, fronted by a load balancer, and exposed to other microservices through a AWS PrivateLink endpoint.

“Popular trigger meme”And the internet piled in with opinions and bad takes, mostly missing the point. … The Prime Video team had followed a path I call Serverless First, where the first try at building something is put together with Step Functions and Lambda calls. … The result isn’t a monolith, but there seems to be a popular trigger meme nowadays about microservices being over-sold.

More from Mehmet Ozkaya and AWS Serverless Microservices with Patterns & Best Practices

This architecture is also cheaper compared to SOA as no heavy messaging bus is needed to implement this architecture. These services are a little hard to develop as they contain the entire functionality of a complex business feature, which needs to be understood well by the development team and poses a challenge in making frequent releases. In this architectural style, you don’t have to use a third-party service directly, but you must write code to execute on third-party infrastructure.

  • Micro-services are typically controlled using well defined APIs and are made up of code you write that is placed into containers or functions that are called when needed.
  • As the components are deployed independently, failures only effect a particular functionality instead of leading to a cascade of failures and crashing the entire application.
  • If customers want to continue using Docker containers they can use AWS Fargate which offers serverless compute for containers.
  • While certain technologies might be great for one aspect of an application, they might not be great for other components.

This tool can process hundreds of thousands of concurrent API calls and manage traffic, authorizations, live monitoring, and API updates. Without an API gateway, implementing a microservices architecture on AWS would be next to impossible. When utilizing a microservices architecture on AWS, managing cloud resources and other AWS services is critical, which is why a service discovery tool like Cloud Map is so important. The key benefit here is that you operate a serverless platform, meaning you do not have to look under the hood and configure the underlying servers. This ensures speed of operations, unlimited scalability, and cost-efficiency of running microservices.