Are you a retailer looking to create a next-gen digital commerce platform? If so, you have landed at the right place! This post describes three different ways to modernize your ecommerce platform on Google Cloud. No one way is right or wrong. You can start off on any path that works well for your team and current infrastructure, and then work your way towards a fully modernized platform. Before diving in, if you prefer to watch a 15-minute video check it out 👇
The three main approaches to modernizing your digital commerce platform are headless commerce, build your own, and out-of-the-box.
1. Headless commerce
- Update the client-facing site (for example, to handle seasonal campaigns) without needing backend skills and without risking regressions in the backend processing.
- Harness shopper interaction data (i.e. first-party data) and then use that data to gain insights into shopping behavior and activate data-driven, personalized offerings to increase sales conversions.
- Make nimble updates to the frontend while maintaining compliance with security and other standards.
- Maintain consistent performance for the end-to-end client experience as you apply updates to the frontend.
2. Build your own commerce platform on Google Cloud
by hosting your existing solution in Google Cloud instead of running it in your own data center. This minimizes the changes required to get to the cloud, but you don’t get the benefits of a microservices architecture.
that uses containers and managed services in Google Cloud. This approach requires more changes than migrating your existing solution as-is. But once you’ve migrated, you’ll realize the benefits of a cloud-native, containerized architecture, including easier maintenance, improved flexibility, and scalability. Here is a sample architecture for migrating and improving your commerce platform using GKE.
- - Your single-page application (SPA) builder and content.
- - Services such as session, search, account, inventory, orders, and so on.
- - Your storage choices for the services. These can vary based on the type of service, for example: CloudSQL or Cloud Spanner for inventory and products, and Firestore for user sessions.
- - Your transient cache, which can use Memorystore to access recently queried data without querying the storage layer again.
- Independently develop and scale microservices to accommodate traffic spikes and lower TCO.
- Add/deploy new services at any time without affecting any other services.
- Have different teams working on different services in different languages.
- Establish a closed loop between the data platform and the commerce platform to better understand customer behavior and offer personalized experiences.
Use an off-the-shelf software-as-a-service (SaaS) solution on Google Cloud
- 🎥Watch this video, which walks through these approaches along with their respective sample architectures
- 📖 Read the headless commerce documentation
- 👩💻 Try out a detailed headless commerce tutorial
- 🛠 Set up your own modern digital commerce platform from scratch