Designing High-Performance Blockchain Indexers
📰 Dev.to · beefed.ai
Learn to design high-performance blockchain indexers using scalable architecture, data modeling, and low-latency APIs
Action Steps
- Design a scalable data model for blockchain data using entity-relationship diagrams
- Choose a suitable storage solution such as Postgres or ClickHouse for indexing blockchain data
- Implement event ingestion using WebSockets or Webhooks to stream blockchain events
- Configure batching for low-latency APIs to optimize query performance
Who Needs to Know This
Developers and architects working on blockchain projects can benefit from this knowledge to improve the performance and scalability of their indexers
Key Insight
💡 Scalable data modeling and storage choices are crucial for high-performance blockchain indexers
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🚀 Boost blockchain indexer performance with scalable architecture & low-latency APIs!
Key Takeaways
Learn to design high-performance blockchain indexers using scalable architecture, data modeling, and low-latency APIs
Full Article
Architect scalable blockchain indexers: data modeling, storage choices (Postgres/ClickHouse), event ingestion, and batching for low-latency APIs.
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