Some parts of the content below were enhanced and reviewed with the help of AI tools.
This blog post is part of the:
Imagine the fowling business scenario:
High-Performance E-Commerce app developed and supported using SAP BTP cloud services.
An e-commerce app requires a high-performance backend architecture that efficiently handles user sessions, product catalog queries, and order transactions.
How can we use both solutions to support our solution architecture:
PostgreSQL on SAP BTP: Can be used as the primary relational database for storing structured data such as users, orders, and product details.Redis on SAP BTP: Can be used for caching frequently accessed data (e.g., product details, user sessions) and implementing rate limiting to prevent excessive requests.
A typical e-commerce application will have the following architecture layers:
Client Layer: Users interact with the platform via web app or mobile appLoad Balancer: Routes requests to backend instances and ensures scalability.Application Layer: a set of backend services handle business logic, process API requests, and interact with databases.Caching Layer (Redis): Stores frequently accessed data (e.g., product listings, user sessions) to reduce database load.Database Layer (PostgreSQL): Stores structured data such as users, orders, and product catalogs.Integration with External Services like: Payment Gateway for handling transactions and Search Service (for efficient product search.
In a High-Performance E-Commerce application, leveraging Redis on SAP BTP service as a caching layer provides several tangible benefits that directly impact speed, scalability, and user experience. Here’s a breakdown of the key advantages of using the service in this scenario:
Ultra-Fast Performance
Why it matters: E-commerce users expect instant page loads, especially during high-traffic events like Black Friday. Redis is in-memory, meaning it serves data directly from RAM with sub-millisecond latency. This allows for real-time access to product listings, inventory status, and pricing info, pre-cached —crucial for fast browsing and decision-making.
Reduced Load on Primary Databases
Why it matters: Backend databases (like PostgreSQL, SAP HANA) are always expensive to scale and can become bottlenecks. Redis absorbs repetitive read operations (e.g., fetching top-selling products), drastically lowering the query volume hitting your database. This leads to cost savings and more stable performance under load.
Scalable Session Management
Why it matters: User sessions (shopping carts, preferences, login state) are core to personalization and checkout flows. Redis supports distributed session storage with persistence and replication. It’s ideal for multi-region deployments and horizontal scaling with minimal latency impact. TTL (Time-to-Live) functionality makes it easy to auto-expire inactive sessions, reducing memory overhead.
Flexible Data Structures
Why it matters: E-commerce logic can benefit from more than just key-value storage. Redis supports advanced types like Lists, Sets, Sorted Sets, and Hashes. For example you can use Sorted Sets for real-time leaderboards (e.g., “most viewed items”), and Hashes to store product metadata (like name, price, stock) efficiently.
Expiry and TTL Controls
Why it matters: E-commerce platforms deal with constantly changing data (flash sales, limited-time offers). Redis allows setting custom expiration per cache entry.vEnsures stale data doesn’t linger, maintaining accuracy without heavy invalidation logic.
Real-Time Analytics and Recommendations
Why it matters: Knowing what users interact with in real time helps drive sales.vUse Redis to track clickstream data, view counts, or search terms.This data can feed real-time recommendation engines or marketing automations.
Support for Pub/Sub and Streams
Why it matters: Real-time event processing enhances customer experience. Redis’ Pub/Sub and Streams allow broadcasting events like “product back in stock” or “price drop” notifications instantly. Supports event-driven architectures without introducing a separate messaging system.I also suggest exploring SAP BTP services such as SAP Advanced Event Mesh, which offers a comprehensive event streaming solution with the added advantage of built-in integration with SAP systems.
High Availability and Durability
Why it matters: Downtime and data loss are costly in e-commerce. With Redis cluster option, apps can stay resilient even if individual nodes fail.
Easy Integration with Modern Stacks
Why it matters: Fast development and iteration cycles are key in a competitive market. Redis is supported by virtually every major language and framework (Node.js, Python, Java, Spring, etc.). Is compatible with common infrastructure setups (Docker, Kubernetes, AWS, Azure, GCP). Redis on SAP BTP is a multi-hyperscaler and multi-region offering available on AWS, Azure, GCP, ALI, NS2(USA).
I hope you enjoyed this reading. If you liked it, you might also want to check out the other blogs in the same series.
Regards, Antonio
Some parts of the content below were enhanced and reviewed with the help of AI tools.This blog post is part of the:”Unleashing the Power of Redis on SAP BTP for Modern Applications:A Blog Series”Imagine the fowling business scenario: High-Performance E-Commerce app developed and supported using SAP BTP cloud services.An e-commerce app requires a high-performance backend architecture that efficiently handles user sessions, product catalog queries, and order transactions.How can we use both solutions to support our solution architecture:PostgreSQL on SAP BTP: Can be used as the primary relational database for storing structured data such as users, orders, and product details.Redis on SAP BTP: Can be used for caching frequently accessed data (e.g., product details, user sessions) and implementing rate limiting to prevent excessive requests.A typical e-commerce application will have the following architecture layers:Client Layer: Users interact with the platform via web app or mobile appLoad Balancer: Routes requests to backend instances and ensures scalability.Application Layer: a set of backend services handle business logic, process API requests, and interact with databases.Caching Layer (Redis): Stores frequently accessed data (e.g., product listings, user sessions) to reduce database load.Database Layer (PostgreSQL): Stores structured data such as users, orders, and product catalogs.Integration with External Services like: Payment Gateway for handling transactions and Search Service (for efficient product search.In a High-Performance E-Commerce application, leveraging Redis on SAP BTP service as a caching layer provides several tangible benefits that directly impact speed, scalability, and user experience. Here’s a breakdown of the key advantages of using the service in this scenario:Ultra-Fast PerformanceWhy it matters: E-commerce users expect instant page loads, especially during high-traffic events like Black Friday. Redis is in-memory, meaning it serves data directly from RAM with sub-millisecond latency. This allows for real-time access to product listings, inventory status, and pricing info, pre-cached —crucial for fast browsing and decision-making.Reduced Load on Primary DatabasesWhy it matters: Backend databases (like PostgreSQL, SAP HANA) are always expensive to scale and can become bottlenecks. Redis absorbs repetitive read operations (e.g., fetching top-selling products), drastically lowering the query volume hitting your database. This leads to cost savings and more stable performance under load.Scalable Session ManagementWhy it matters: User sessions (shopping carts, preferences, login state) are core to personalization and checkout flows. Redis supports distributed session storage with persistence and replication. It’s ideal for multi-region deployments and horizontal scaling with minimal latency impact. TTL (Time-to-Live) functionality makes it easy to auto-expire inactive sessions, reducing memory overhead.Flexible Data StructuresWhy it matters: E-commerce logic can benefit from more than just key-value storage. Redis supports advanced types like Lists, Sets, Sorted Sets, and Hashes. For example you can use Sorted Sets for real-time leaderboards (e.g., “most viewed items”), and Hashes to store product metadata (like name, price, stock) efficiently.Expiry and TTL ControlsWhy it matters: E-commerce platforms deal with constantly changing data (flash sales, limited-time offers). Redis allows setting custom expiration per cache entry.vEnsures stale data doesn’t linger, maintaining accuracy without heavy invalidation logic.Real-Time Analytics and RecommendationsWhy it matters: Knowing what users interact with in real time helps drive sales.vUse Redis to track clickstream data, view counts, or search terms.This data can feed real-time recommendation engines or marketing automations.Support for Pub/Sub and StreamsWhy it matters: Real-time event processing enhances customer experience. Redis’ Pub/Sub and Streams allow broadcasting events like “product back in stock” or “price drop” notifications instantly. Supports event-driven architectures without introducing a separate messaging system.I also suggest exploring SAP BTP services such as SAP Advanced Event Mesh, which offers a comprehensive event streaming solution with the added advantage of built-in integration with SAP systems.High Availability and DurabilityWhy it matters: Downtime and data loss are costly in e-commerce. With Redis cluster option, apps can stay resilient even if individual nodes fail.Easy Integration with Modern StacksWhy it matters: Fast development and iteration cycles are key in a competitive market. Redis is supported by virtually every major language and framework (Node.js, Python, Java, Spring, etc.). Is compatible with common infrastructure setups (Docker, Kubernetes, AWS, Azure, GCP). Redis on SAP BTP is a multi-hyperscaler and multi-region offering available on AWS, Azure, GCP, ALI, NS2(USA).I hope you enjoyed this reading. If you liked it, you might also want to check out the other blogs in the same series.Regards, Antonio Read More Technology Blogs by SAP articles
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