今日已更新 60 条资讯 | 累计 30515 条内容
关于我们

标签:#r

找到 25976 篇相关文章

AI 资讯

Ask HN: How do you troubleshoot desktop Linux crashes/freezes?

I've been using Linux all my life. I’d like to be able to claim that it’s stable, but that’s not my experience :) So I’d like to get better at recovering from freezes and crashes, and finding the root cause. I make extensive use of Ctrl+Alt+f3, and magic system request keys (Ctrl+Alt+PrtSc+f; Ctrl+Alt+PrtSc+reisub). But often the system is too far gone to drop to a virtual terminal. In these cases, I usually try to find clues in dmesg/syslog/journalctl. The bulk of issues seem to be caused by Nv

2026-07-14 原文 →
AI 资讯

Microsoft tests Windows Search without all the ads and fluff

Microsoft is testing a cleaner version of the Windows 11 search menu that strips it of recommended content and ads. In a blog post on Monday, Microsoft announced that it's rolling out the decluttered Search Box to Windows Insiders in the Experimental channel as the company looks to regain trust with users and fix Windows. […]

2026-07-14 原文 →
开发者

Capturing, Streaming, Storing, and Visualizing Crypto Market Data in Real Time with PostgreSQL, Debezium, Kafka, JDBC & Grafana

In the fast-moving world of cryptocurrency, market data changes every second — prices fluctuate, trades execute, and volumes shift continuously. Capturing this stream of real-time data and transforming it into meaningful insights requires a robust and scalable pipeline. In this project, I built a complete real-time crypto market data pipeline that captures, streams, stores, and visualizes live data from Binance using PostgreSQL, Debezium, Kafka, JDBC, and Grafana. The goal was to design an architecture that not only moves data instantly between systems but also keeps it queryable and monitorable in real time. What began as a simple Binance data extractor evolved into a production-grade CDC (Change Data Capture) workflow capable of detecting every database change, streaming it through Kafka, storing it in a sink database, and visualizing it live on Grafana dashboards.

2026-07-14 原文 →