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.
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
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.
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
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.
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol Smith
What is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
vue.jsを公開
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We provide opportunities to the SEKAI by fusing technology and ideas.
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IoT Devices Compliant with JC-STAR Using Linux as a Container OSTomohiro Saneyoshi
Security requirements for IoT devices are becoming more defined, as seen with the EU Cyber Resilience Act and Japan’s JC-STAR.
It's common for IoT devices to run Linux as their operating system. However, adopting general-purpose Linux distributions like Ubuntu or Debian, or Yocto-based Linux, presents certain difficulties. This article outlines those difficulties.
It also, it highlights the security benefits of using a Linux-based container OS and explains how to adopt it with JC-STAR, using the "Armadillo Base OS" as an example.
Feb.25.2025@JAWS-UG IoT