弹性推出流和DiskBBQ以提高AI日志搜索速度并降低成本. Elastic launches Streams and DiskBBQ to boost AI log search speed and cut costs.

Elastic已经启动了溪流和磁盘BBQ,以改进AI动力日志和数据搜索。 Elastic has launched Streams and DiskBBQ to improve AI-powered log and data search. 流是Elasticsearch中的AI工具,自动分析非结构化日志以快速检测错误和异常,减少工程师的手工工作. Streams, an AI tool in Elasticsearch, automates analysis of unstructured logs to quickly detect errors and anomalies, reducing manual work for engineers. DiskBBQ是一种新的矢量搜索算法,将数据储存在磁盘上,而不是存储器上,削减基础设施成本,并促成可缩放的低延时搜索,反应时间约为15毫秒,记忆用量最小。 DiskBBQ, a new vector search algorithm, stores data on disk instead of memory, cutting infrastructure costs and enabling scalable, low-latency searches with around 15 milliseconds response time and minimal memory use. 两者均可在Elasticsearch无服务器技术预览中查阅,目的是提高性能、降低成本和支持大规模人工智能工作量。 Both are available in technical preview on Elasticsearch Serverless, aiming to enhance performance, reduce costs, and support large-scale AI workloads.