The document discusses two Rust-based full-text search engines: Tantivy and Bayard. It describes trying out Tantivy using its CLI tool to index 1000 Wikipedia articles and perform searches. It then discusses Bayard's features like supporting Japanese text, REST API, and clustering. The author shares their experience setting up Bayard with Docker to index and search Japanese sample data.
This document summarizes a microservices meetup hosted by @mosa_siru. Key points include:
1. @mosa_siru is an engineer at DeNA and CTO of Gunosy.
2. The meetup covered Gunosy's architecture with over 45 GitHub repositories, 30 stacks, 10 Go APIs, and 10 Python batch processes using AWS services like Kinesis, Lambda, SQS and API Gateway.
3. Challenges discussed were managing 30 microservices, ensuring API latency below 50ms across availability zones, and handling 10 requests per second with nginx load balancing across 20 servers.
The document discusses two Rust-based full-text search engines: Tantivy and Bayard. It describes trying out Tantivy using its CLI tool to index 1000 Wikipedia articles and perform searches. It then discusses Bayard's features like supporting Japanese text, REST API, and clustering. The author shares their experience setting up Bayard with Docker to index and search Japanese sample data.
This document summarizes a microservices meetup hosted by @mosa_siru. Key points include:
1. @mosa_siru is an engineer at DeNA and CTO of Gunosy.
2. The meetup covered Gunosy's architecture with over 45 GitHub repositories, 30 stacks, 10 Go APIs, and 10 Python batch processes using AWS services like Kinesis, Lambda, SQS and API Gateway.
3. Challenges discussed were managing 30 microservices, ensuring API latency below 50ms across availability zones, and handling 10 requests per second with nginx load balancing across 20 servers.