随着项目微服务的进行，微服务数量逐渐增加，服务间的调用也越来越复杂，我们急切需要一个APM工具帮我们监控各个服务的性能及对服务间的调用进行跟踪，而通过调研多个开源APM工具后，最终我们选择了Pinpoint。

严选基于故障处理驱动，通过监控平台+报警管理+事件总线机制的立体化协同建设，为监控报警的体系化能力升级提供更多可能。

Despite the explosive growth of the internet over the past couple of decades, much of the digitized knowledge has been curated for human understanding and has stayed unfriendly for machine comprehension. Even promising efforts towards creating semantic web like the Resource Description Framework in Attributes (RDFA), Ontology Web Language (OWL), JSON-LD, and Open Graph Protocol are in infancy and fall short for commercial applications due to data sparsity and high variance in data quality across websites. Hence Web Information Extraction (WIE), colloquially known as scraping, is the dominant knowledge acquisition strategy for several organizations in advertising, commerce, search engines, travel, etc. For our purposes, Pinterest uses this approach to bring high-level information (like price and product description) from saved websites to the Pin-level, to help provide Pinners with more information, along with a link back to the original website for more details, and to ultimately take action.