It begins with identifying critical modules in an application. For e.g, if we are trying to break down an online travel booking app, these would be: Flight/car/sightseeing booking Hotel booking Pick-up and drop booking Notification/Reminders 24/7 Online support, etc. And so on. The next step is to separate the codebase based on the modules that our team has just identified.
The team first dismantles modules with low coupling that do not alter the front end of the application. At this stage, ensuring data consistency is critical and can be achieved by getting the Data Access Layer (DAL) written to both the legacy database as well as the newly created one. A communication model is established between the decoupled module and the rest of the application by implementing an asynchronous message exchange pattern.
To create a successful microservice architecture, APIs must be defined for communication between individual services for our team to take advantage of scaling capabilities offered by microservice architecture. The next important step is to create APIs. Numerous tools are available to help our team easily and efficiently build APIs.
To make the architecture extensible and enable easy transitioning of monolith code to microservice architecture, our team adds an Anti-Corruption layer. It acts as an abstraction layer and ensures that the decoupled process is not constrained by the monolith application’s domain model. It successfully isolates subsystems by translating communications and reducing coupling.
We now focus on the outer architecture i.e. is the platform or environment needed for our microservices to operate in. To ensure successful implementation of the microservice architecture, our team builds and maintains an outer architecture with critical components like: 1) API gateway- Single-entry point into the system with capabilities like composition, protocol translation 2) CI/CD- Automates the integration and deployment of the microservices 3) Containers- Integral for horizontally scaling the microservices
Tools Used : Teamwork, Slack, Gitlab, Mantis
Tools Used : Gitlab, Bitbucket
Tools Used : Jenkins, Gitlab CI
Tools Used : Code climate, Sonarqube
Tools Used : NPM, Yarn, Kaniko
Tools Used : Jest,Mocha, Selenium, Nightwatch and cucumber.js
Tools Used : Docker, Kubernetes
Tools Used : Terraform and Ansible
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