"Latency is the new downtime. In a global marketplace, delivering content from a single region is no longer a viable strategy for scale."
Executive Summary
Handling one billion requests per month requires more than just bigger servers; it demands a fundamental shift in how we think about request routing and data locality. The traditional single-region database with CDN caching is insufficient for dynamic, write-heavy applications.
Our approach leverages a multi-cloud edge strategy, utilizing distributed gRPC nodes and a global mesh to ensure that computation happens as close to the user as possible, reducing latency by up to 60%.
Global Mesh Architecture
Legacy Cloud
- ✕ Centralized Database
- ✕ High Latency Hops
- ✕ Single Point of Failure
Multi-Cloud Edge
- Distributed State
- Edge Computation
- Geo-Redundancy
We utilize Pulumi to define our infrastructure as code, allowing us to deploy identical stacks across AWS, GCP, and Azure regions simultaneously, creating a resilient global mesh.
Zero-Latency Mesh.
Our custom mesh layer intercepts requests at the edge. Read operations are served from local read-replicas, while write operations are asynchronously propagated using CRDTs (Conflict-free Replicated Data Types) to ensure eventual consistency without locking.
Cost Analysis
Surprisingly, distributed architectures can reduce costs. By routing traffic to the most cost-effective provider in a given region and minimizing cross-region data transfer fees through smart caching, we lowered our infrastructure bill by 22% while increasing capacity.
Our specialized cloud engineering team focuses on extreme scale, distributed systems, and reliability engineering for next-generation platforms.