This article examines why Logtail’s performance drops when line‑start regular expressions are used for multi‑line logs, explains the underlying boost::regex_match behavior, and demonstrates how switching to a prefix‑only regex or boost::regex_search can boost collection speed by up to seven times.
This article investigates why enabling line‑prefix regex for multiline logs slows Logtail down, explains the underlying regex matching mechanism, and demonstrates how switching from boost::regex_match to boost::regex_search with proper flags can dramatically improve collection throughput, achieving a seven‑fold speed increase.
This article details the evolution of the open‑source distributed database MatrixOne, describing its early NewSQL/MPP design, the scalability, performance and cost challenges it faced, and the architectural redesign that introduced decoupled compute, transaction, and storage layers with HTAP support using TAE, S3, and Logtail.
This guide explains how to use Alibaba Cloud's log governance feature to dynamically collect stack traces, method parameters, and other runtime information at arbitrary points in a Java application without restarting, and how to forward those logs to SLS Logtail for further analysis.
Xianyu’s production environment grew complex, prompting the creation of a high‑performance, sub‑3‑second real‑time data processing pipeline that ingests logs and metrics, uses Alibaba’s Logtail, LogHub, and Blink (enhanced Flink) for collection, transport, pre‑processing, computation, and persistent graph‑based fault analysis.
Amid the rise of serverless Kubernetes, growing pod volumes, and real-time log demands, this article examines emerging log-handling challenges, evaluates traditional collection methods, and presents a comprehensive “Logtail + Log Service + Ecosystem” architecture that delivers high-throughput, reliable, and scalable logging for cloud-native environments.
This guide walks through enabling MySQL binlog, installing Logtail, configuring data collection, indexing, previewing logs, writing custom SQL queries for user login analysis, constructing real‑time dashboards, setting abnormal‑login alerts, and backing up data to OSS for long‑term storage.
