by Michał Cukierman
5 min read
by Michał Cukierman
5 min read
Your Edge Delivery Services site is globally distributed, fast, and scalable — but are you still calling a legacy backend located in a single region? If so, that backend is now your bottleneck.
These calls rely on backend capabilities. If the backend is slow, the entire system suffers, negating the advantages of edge computing. Lets make it clear, limiting the numbers of front-end calls will not solve your backend performance issues, but will delay initial page load instead. Not to mention that you'll need to handle multiple edge-case scenarios like: retry logic, timeouts, fallback or circuit breakers.
This approach temporarily hides performance issues to improve Lighthouse scores but ultimately harms user experience by delaying essential interactions. It's like unit testing getters and setters in Java, it will improve your metrics, but won't address your system problems.
Caching can significantly improve performance, but it's primarily effective for static data. You cannot cache data that changes frequently, nor the services that delivers personalized experiences.
Caching can significantly improve performance, but it's primarily effective for static data. You cannot cache data that changes frequently, nor the services that delivers personalized experiences.
Digital Experience Mesh comes with the architecture that solves the problems above.
The real-time orchestration of data from multiple sources using event streaming and microservices meshes,
reprocessing data and streaming it directly to the edge, close to the end-user.
and deploying backend services at the edge for minimal latency and maximum performance
ensure global performance optimization, providing fast, reliable user experiences even in challenging regions like China.
Here's how it works: