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This guide explains how to monitor Kubernetes events, differentiate normal and warning events, and use tools like kube-eventer and kube-event-exporter to collect, alert on, and analyze cluster events through webhook, Kafka, Logstash, and Elasticsearch, enabling comprehensive observability and troubleshooting.
This article details how ByteDance's cloud‑native observability team tackled performance bottlenecks in their metricserver2 Agent—reducing memory copies, merging tiny packets, applying SIMD for tag parsing, and switching compression libraries—to cut CPU usage by over 10% and memory usage by nearly 20% while handling petabyte‑scale metric data.
This article explains why Site Reliability Engineering (SRE) emerged, outlines its core responsibilities, required skill set, and how SRE teams use SLOs, monitoring, and scenario drills to improve system reliability, performance, and observability in complex production environments.
Tencent Docs transformed its high‑traffic Collection Form by refactoring a monolithic C++‑style service into 19 loosely‑coupled vertical services with light‑heavy separation, database isolation, async Kafka pipelines, and full observability via Tianji, achieving dramatically improved stability, millisecond‑level sync, reliable export, and faster incident resolution.
The article explains that platform engineering extends far beyond basic infrastructure, highlighting its core pillars such as automation, composability, agility, observability, and the essential role of collaboration and culture in creating value‑driven, cloud‑native software delivery.
The article shows how OpenResty’s Lua‑based extensions can implement lightweight, version‑controlled API authentication, dynamic traffic‑shaping via shared‑memory peer status, and selective request tracing with batch‑sent logs to Elasticsearch, enabling secure, highly available services and rich observability without sacrificing Nginx performance in production.
This article reviews the ten most important open‑source monitoring and observability tools for modern DevOps teams in 2024, outlining each tool's key features, advantages, disadvantages, and how they compare for performance, scalability, cost and ease of use.
This article shares a decade‑long journey of designing and scaling the QQ front‑end unified access layer, covering business background, overall architecture, solution comparisons, core challenges, observability, and performance optimizations while reflecting on practical lessons for large‑scale front‑end systems.
Perfetto’s tracing system links multiple producers to a single consumer via shared‑memory buffers, where careful sizing of pages, chunks, and central buffers, along with tuned protobuf encoding and scheduling priorities, mitigates CPU overhead and prevents data loss, enabling reliable observability on Android devices.
This article details Kuaishou’s five‑year evolution of Flink, covering its background, production refactoring to Kubernetes, migration practices, and future improvements, highlighting architecture layers, resource management, observability, and testing strategies for large‑scale stream processing.