Project Overview
In this greenfield project, AEITCH provided a comprehensive solution for deploying a complex microservices architecture, consisting of 25 microservices and two databases (MySQL and PostgreSQL), on Google Cloud Platform (GCP). The project also involved hosting the application’s front-end on Google Cloud Storage (GCS) buckets, leveraging load balancing and caching for optimal performance.
The Challenge
Deploying a large-scale microservices architecture on the cloud presents several challenges, including:
- Ensuring seamless deployment and scalability of numerous microservices
- Maintaining data integrity and consistency across multiple databases
- Optimizing performance and response times for the front-end application
- Implementing robust logging and monitoring solutions
- Establishing secure connectivity with third-party fintech providers
Solution Architecture
AEITCH implemented a comprehensive solution leveraging various Google Cloud Platform (GCP) services and industry-best practices to address the client’s requirements effectively.
Microservices Deployment
- Google Cloud Run: The 25 microservices were deployed on Cloud Run, a fully managed compute platform that automatically scales the microservices based on incoming traffic.
- Cloud SQL: The MySQL and PostgreSQL databases were hosted on Cloud SQL, a fully managed relational database service.
Front-end Deployment and Optimization
- Google Cloud Storage (GCS): The front-end application was hosted on GCS buckets, providing scalable and durable storage.
- Cloud Load Balancing: A load balancer was implemented to distribute incoming traffic across multiple instances, ensuring high availability and scalability.
- Cloud CDN: Google’s Content Delivery Network (CDN) was utilized to cache and serve the front-end content from edge locations, improving performance and reducing latency.
Logging, Monitoring, and Networking
- Cloud Logging: Comprehensive logging and monitoring solutions were implemented using Cloud Logging, enabling centralized log management and analysis.
- Cloud DNS: The application’s DNS was managed using Cloud DNS, ensuring efficient routing and resolution.
- Redis Cache: Redis Cache was utilized for in-memory data storage, enhancing application performance.
- Cloud VPN: A secure VPN connection was established with the third-party fintech provider using Cloud VPN.
Continuous Integration and Delivery (CI/CD)
- Jenkins: Jenkins was used as the Continuous Integration (CI) tool, automating the build and testing processes.
- Cloud Run: Cloud Run was leveraged for Continuous Delivery (CD), enabling automated deployment of the microservices directly from the CI pipelines.
Benefits and Advantages
By partnering with AEITCH, the fintech client benefited from:
- Seamless deployment of the microservices architecture on Google Cloud Run
- Improved performance and scalability for the front-end application through load balancing, caching, and CDN
- Robust logging and monitoring solutions for proactive issue detection and resolution
- Secure connectivity with third-party fintech providers through Cloud VPN
- Automated CI/CD pipelines for efficient deployment and updates
AEITCH’s expertise in cloud deployments and Google Cloud Platform, combined with industry-best practices, enabled the successful implementation of the client’s complex microservices architecture, ensuring optimal performance, scalability, and security.