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This article details Vivo's end‑to‑end Pulsar observability solution, covering the challenges of Prometheus‑based monitoring, the architecture of the alerting pipeline, adaptor development, metric optimizations for subscription backlog and bundle load, and fixes for kop lag reporting issues.
This article provides an in‑depth analysis of BPF maps—explaining their design principles, core features, various map types with code examples, and the macro expansion process that turns high‑level BCC helpers into native kernel map definitions for cloud‑native observability.
This article details WeChat's migration of large‑scale big data and AI workloads to a cloud‑native Kubernetes platform, discussing performance bottlenecks, API server and ETCD overload protection, scheduler enhancements, observability solutions, resource utilization gains, and future serverless directions.
The article explores how automated thread dumps can be expanded into multiple testing scenarios—including log collection, resource monitoring, fault injection, performance result analysis, and environment cleanup—by leveraging Kubernetes APIs, Prometheus, Chaos Mesh, and scripting tools to improve efficiency, observability, and system resilience.
This article explains why observability is essential for Spring AI applications, outlines common cost‑control and performance challenges, and provides a step‑by‑step guide—including Maven setup, client configuration, service implementation, metric exposure, Zipkin tracing, and architecture insights—to create a fully observable, enterprise‑grade AI translation service.
This guide compiles the most important Linux performance analysis utilities—such as vmstat, iostat, dstat, iotop, pidstat, top, htop, mpstat, netstat, ps, strace, uptime, lsof, and perf—explaining their usage, output fields, and how they fit into a comprehensive system observability workflow.
GreptimeDB solves front‑end observability challenges with a distributed architecture (frontend, datanode, flownode, metasrv), transparent two‑level caching, elastic scaling, and an SQL‑based flow engine for real‑time multi‑granularity aggregation and approximate counting, delivering millisecond query latency and cost‑effective storage.
Facing unexplained slowdowns in an Express site, I used the AI‑driven Trae IDE to automatically install Morgan, persist logs to rotating files, separate access and error logs, add buffering for performance, and even automate code commits, dramatically improving observability and debugging speed.
Chronon is an open‑source ML feature platform that lets engineers declaratively define, compute, and serve both batch and real‑time features with built‑in observability, data‑quality checks, and a low‑latency retrieval API, ensuring online‑offline consistency while simplifying pipeline management and enabling future automation.
This article outlines the most important Linux log files under /var/log, explains what each records—from system and kernel messages to authentication, web server, database, and firewall events—and shows practical commands for inspecting them, helping SREs improve fault detection and system observability.