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Cloudflare Blog·2d ago·5 min read
Rewinding the exponential: How we keep hardware usage down
TL;DR
Cloudflare's Data team has successfully reduced data pipeline bandwidth usage by 35-40% by transitioning from a monolithic schema to product-specific schemas, effectively managing exponential traffic growth with limited hardware expansion.
✦ Why It Matters
Evaluate your data schemas to eliminate unnecessary complexity and improve efficiency today.
Key Takeaways
- Decentralize data schemas to reduce bandwidth usage.
- Upgrade compression algorithms to improve throughput.
- Implement load balancing to optimize data transmission.
- Expand sampling techniques to minimize data volume.
How It Works
The team dismantled their monolithic data schema, allowing for product-specific messages that reduced unnecessary data transmission. They adopted a new compression algorithm, zstd, which provided better efficiency without significantly increasing CPU usage.
Load balancing was implemented to ensure that data was only sent once across the network, and sampling was introduced earlier in the pipeline to reduce the amount of data processed downstream.