This article explains how Alibaba Cloud ACK One enables unified registration and management of Kubernetes clusters across public clouds, private data centers, and edge environments, detailing core features, architecture, security measures, and observability capabilities for seamless multi‑cluster operations.
MyPerf4J is a Java‑agent based, low‑overhead monitoring solution that provides real‑time method, memory, GC and class metrics, enabling developers to quickly locate performance bottlenecks and assess service capacity in both development and production environments.
This article explains why Loki is a lightweight log aggregation solution, outlines its key advantages, describes its architecture and deployment modes, provides step‑by‑step Kubernetes deployment instructions with full configuration examples, and offers practical troubleshooting tips for common issues.
This article outlines the evolution from manual operations to DevOps and SRE‑driven “big operations,” detailing system reliability and continuity practices, observability concepts, and the development of AIOps maturity standards, offering a comprehensive guide for building stable, efficient, and secure operational frameworks.
This article summarizes Zhang He’s Bilibili SRE talk on building a capacity‑management system that visualizes resource usage, reduces costs, improves stability, and leverages Kubernetes VPA, HPA, pooling, and quota management to support massive live‑stream events and rapid feature releases.
This article explores the evolution of continuous performance profiling, explains why traditional tracing falls short, and details a series of optimizations—including batch processing, object‑reference serialization, aggregation insertion, and multi‑chunk handling—to dramatically reduce memory usage and speed up Java Flight Recorder analysis using async‑profiler and flame graphs.
This article reviews the fundamentals of eBPF, explains its architecture and tracing mechanisms such as USDT, uprobes, and TC hooks, provides practical code examples, discusses security aspects, and lists notable open‑source projects that leverage eBPF for performance and observability.
This article explores how Tencent builds and practices its SRE quality operation system, focusing on On‑Call incident management, standardized channels, alert handling, data quality models, and the resulting improvements in reliability, MTTR reduction, and data‑driven decision making.
This article compares four popular open‑source log collection tools—Logstash, Fluentd, Fluent Bit, and Vector—examining their key features, performance, resource usage, scalability, security, and ecosystem to help enterprises select the most suitable solution for their specific logging needs.
This article provides a detailed comparative overview of nine popular log management solutions—including Filebeat, Graylog, LogDNA, ELK, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their core features, pricing models, strengths, and weaknesses to help readers choose the most suitable tool for their environment.
The 2023 China AIOps Status Survey, launched by CAICT and the Cloud Computing Open Source Industry Alliance, gathers input from over 60 enterprises to reveal current intelligent‑operations practices, observability adoption, generative AI prospects, and best‑practice case studies, while inviting participants to shape the upcoming report.
This article examines a subtle gray‑release bug that caused message loss due to mismatched environment configurations, analyzes its root causes, and proposes a minimum‑viable‑product gray‑release design with practical strategies, observability tips, and configuration examples to ensure safe, incremental rollouts.
This article details JD's end‑to‑end H5 observability solution, covering the challenges of hybrid app development, the design of a three‑stage UEM platform, deep active and passive monitoring, automated quality gates, and real‑world case studies that demonstrate cost savings and performance improvements.
In modern cloud‑native applications, distributed tracing is essential for pinpointing errors across microservices, and OpenTelemetry provides a standardized framework for collecting and analyzing trace data, with a hands‑on Go implementation demonstrated in an upcoming expert-led workshop.
Tencent Cloud Log Service was modernized by migrating over 95 % of its components to a cloud‑native stack of containers, Kubernetes, and declarative APIs, addressing chaotic infrastructure, stateful‑to‑stateless conversion, configuration drift, upgrade risk, elastic scaling, traffic protection and observability, which cut costs by more than 20 million CNY, reduced scaling latency by 90 %, and achieved over 99.99 % availability with petabyte‑scale burst handling.
This article explains how Meta built SLICK, a centralized SLO/SLI platform that improves service reliability through discoverability, long‑term insights, integrated workflows, and scalable architecture, and shares real‑world examples and lessons learned from its deployment across thousands of services.
The article explains how growing system complexity drives the need for observability, outlines the three pillars of logs, traces, and metrics, compares traditional stability stacks with modern observability, and details OpenTelemetry's design, advantages, and implementation considerations for cloud‑native environments.
This article explains the fundamentals of distributed application monitoring, describes Huya's non‑intrusive data‑collection techniques using SDKs and plugins, outlines the design and correlation of observable metrics, and demonstrates practical results and troubleshooting scenarios for backend services.
The article details the background, architecture, core features, alert governance, trace integration, and cloud‑native evolution of Watcher, Qunar's internally built, highly scalable monitoring platform that unifies application‑level metrics, alerting, and observability across thousands of services and containers.
This article examines the difficulty of achieving the 1‑5‑10 observability goal, reviews current tracing, logging, and metrics tools, introduces the open‑source Kindling project’s eBPF‑based trace‑profiling approach, and walks through several real‑world use cases that demonstrate faster root‑cause analysis in cloud‑native environments.
Dubbo 3.2 introduces native REST support, enhanced observability with Metrics and Tracing, GraalVM Native Image compatibility, JDK 17/21 readiness, significant RPC performance gains, and a smooth upgrade path, all aimed at strengthening its role as a cloud‑native RPC framework for microservices.
This article describes the design, implementation, and evolution of Heimdall, an exception‑statistics platform built on Kafka, Flink, and HBase that provides minute‑level anomaly aggregation, stack trace querying, and integration with release and alerting workflows to improve service reliability across thousands of micro‑services.
This article explains why native Prometheus HA solutions fall short for large, multi‑region clusters and shows how to use Thanos components—including sidecar, query, store gateway, and compactor—to achieve long‑term storage, unlimited scaling, a global view, and non‑intrusive integration with existing Prometheus deployments.
This article explains why observability is critical in cloud‑native architectures and describes how Baidu’s search middle‑platform handles hundred‑billion‑level traffic by implementing low‑cost real‑time metrics, distributed tracing, log querying and topology analysis, while tackling challenges of massive microservice scale, scenario‑level monitoring, and efficient resource usage.
The article analyzes how Cilium’s eBPF‑based architecture, advanced network policies, cluster‑wide traffic control, and observability tools like Hubble solved performance, security, and scalability challenges that Flannel and kube‑proxy could not meet in production Kubernetes environments.
This article explores the structure and evaluation of PromQL queries, covering its nested functional language nature, expression types, time handling with instant and range queries, and practical examples using the PromLens visualizer, helping readers grasp how Prometheus processes and types queries.
Drawing parallels with Maslow’s hierarchy, the article outlines an eight‑level model of database requirements—from core kernel correctness and ACID to advanced observability, automation, and the vision of a truly autonomous database—explaining how each tier maps to functional, security, reliability, ROI, insight, control, and transcendence.
This article explains the role of Site Reliability Engineering (SRE), its responsibilities, how it complements product development, the software lifecycle perspective, and practical approaches to ensure system stability through controllability, observability, and best‑practice implementation.
This article explains how Apache RocketMQ 5.0 integrates standardized distributed tracing via OpenTelemetry, detailing the underlying span model, semantic conventions for messaging, automatic and manual instrumentation options, configuration steps, a complete example workflow, and how to export traces to Alibaba Cloud SLS and ARMS for observability.
This article reviews the evolution of monitoring in the cloud‑native era, analyzes Open‑Falcon’s architecture, strengths, and shortcomings, explains why its development hit a bottleneck, and outlines the design principles and features of the Nightingale monitoring system as a modern, open‑source alternative.
This article explains what logs are, when to record them, their value in large-scale systems, and how to build effective log‑management and observability platforms using APM concepts, including metrics, tracing, ELK, Prometheus, and custom tooling for distributed architectures.
This article explains what logs are, when to record them, their value in large‑scale architectures, and how to build effective logging, metrics, and tracing platforms using tools such as ELK, Prometheus, and SkyWalking, while also presenting good and bad logging practices and sample batch‑log retrieval code.
Robusta is a Python‑based open‑source platform that layers on top of monitoring stacks like Prometheus to automatically detect, diagnose, and remediate Kubernetes alerts through built‑in automations, optional web UI, and Helm‑based installation for cloud‑native environments.
This article explains how the New Oriental architecture team migrated middleware services like Redis, Kafka, and RocketMQ to Kubernetes, detailing the benefits over traditional PaaS, the Capo IP reservation solution for network stability, and the resulting operational, observability, and resource utilization improvements.
This article explains what logs are, when and why to record them, their value in large‑scale systems, the challenges of log management in micro‑service architectures, and how to design observability platforms using metrics, logging, tracing, and tools such as ELK, Prometheus, OpenTracing, and SkyWalking.
HoloInsight is an open‑source, cloud‑native observability platform derived from Ant Group's AntMonitor, offering integrated log‑based monitoring, business metric analysis, and AI‑driven AIOps capabilities while providing a lightweight, modular architecture and extensive extensibility for modern software stacks.
This article details how Huolala built a comprehensive full‑chain monitoring and tracing platform, covering the historical evolution of observability tools, the company’s multi‑stage monitoring architecture, bytecode‑enhanced instrumentation, trace sampling strategies, and a "what‑you‑see‑is‑what‑you‑get" visualization approach.
This article explains ByteDance’s end‑to‑end chaos engineering practice for cloud‑native environments, covering its background, principles, comparison with traditional testing, the evolution of its internal platforms, and a detailed look at the Application Resilience Enhancement Service (ARES) and its core features.
The Beijing "Microservices x Container Open Source Developer Meetup" gathered over 100 developers and core maintainers of leading cloud‑native projects to discuss next‑generation microservice architectures, static compilation, service governance, multi‑cluster management, observability, and more, providing deep technical insights and real‑world examples.
This article explores why logs are essential in software development, when to record them, their value for debugging, performance, security and business decisions, and how distributed architectures require robust log‑operation tools such as ELK, Prometheus, tracing systems to achieve effective observability.
The article examines logging’s critical role in distributed systems, detailing its purpose, severity levels, and value for debugging, performance, security, and auditing, while highlighting challenges of inconsistent formats and traceability, and reviewing observability pillars, ELK and tracing tools, and practical implementation best practices.
This article compares Prometheus and Zabbix, covering their histories, architectures, strengths, and weaknesses, and provides guidance on choosing the right solution based on factors such as scalability, container support, data storage, community activity, and deployment complexity.
This article benchmarks Alibaba Cloud Prometheus against the open‑source Prometheus across multiple cluster sizes, churn rates, and query patterns, revealing that while the open‑source version remains stable under light load, its CPU and memory usage grow non‑linearly with high cardinality, whereas Alibaba's managed service delivers higher compatibility, better query performance, and more predictable scaling.
This guide walks you through installing the open‑source SigNoz APM platform on Kubernetes, configuring its components, exploring link tracing with a demo app, and setting up logging and alerting for comprehensive cloud‑native observability.
The article explains how DevOps teams can adopt FinOps principles and a left‑shift approach—combining static and dynamic logging, fostering cross‑team collaboration, and integrating cost awareness into the software development lifecycle—to reduce cloud expenses, improve MTTR, and drive sustainable engineering productivity.
This article outlines Vivo's multi‑year journey of designing, evolving, and operating a cloud‑native, AIOps‑enabled monitoring platform that supports tens of thousands of hosts, databases, containers, and services, detailing its architecture, challenges, and future directions for observability and reliability.
Tencent’s cloud load‑testing platform simulates massive Chinese‑New‑Year traffic by offering concurrency and RPS modes, multi‑language test authoring, realistic data generation, and unified OpenTelemetry reporting, enabling early bottleneck detection, proactive scaling, and successful high‑load drills such as Mobile QQ and video services.
This article explains how eBPF technology provides a unified, zero‑intrusion monitoring solution for Serverless applications across any language, detailing its architecture, workflow, and the advantages it brings to cloud‑native operations such as low cost, high performance, and multi‑protocol support.
This article explains how eBPF extends kernel functionality to enable secure, high‑performance networking, observability, and programmable workloads in cloud‑native environments, detailing its architecture, use cases, market adoption, commercialization models, and the challenges and advantages that make it comparable to JavaScript for the kernel.
This article explains why Medium transitioned from a monolithic Node.js application to a microservice architecture, outlines the core design principles, shares practical strategies for building, deploying, and observing services, and warns about common pitfalls such as the microservice syndrome.
Pigsty is an open‑source platform that upgrades PostgreSQL across six dimensions—observability, reliability, availability, maintainability, extensibility, and interoperability—delivering enterprise‑grade features, built‑in monitoring, automatic failover, backup, and performance tuning while cutting cloud database costs dramatically.
Facing the challenges of distributed microservice architectures, a financial services company implemented a unified observability platform that combines metrics, tracing, and logging via OpenTelemetry and custom agents, enabling real‑time visualization, anomaly detection, and performance analysis across seven core business middle‑platforms.
This article compares Prometheus and Zabbix, detailing their histories, architectures, performance, community support, and suitability for different environments, and concludes with guidance on choosing the right monitoring solution for physical servers, cloud-native deployments, and large‑scale container clusters.
The platform centralizes message‑center management for e‑commerce by adding end‑to‑end tracing, real‑time metrics, and unified logging, enabling business users to query message links, view dashboards, automate retries and approvals, dramatically reducing manual monitoring, improving completion rates above 90%, and paving the way for cost‑optimized, data‑driven operations.
This article provides a detailed comparison of nine popular log management solutions—including Filebeat, Graylog, LogDNA, the ELK stack, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their main features, pricing models, advantages, and disadvantages to help readers choose the right tool for their needs.
This article explains the principles, architecture, and practical implementation of distributed tracing—especially SkyWalking—in microservice environments, showing how it identifies call chains, isolates performance bottlenecks, and integrates with existing monitoring systems while maintaining low overhead and non‑intrusive instrumentation.
This article explains what eBPF is, why it matters for cloud‑native architectures, its key components and use‑cases in networking, observability and security, and explores current market momentum and commercialization models for leveraging eBPF in modern infrastructure.
This article explains the concept of distributed tracing, its importance in micro‑service architectures, the OpenTracing standard, and how SkyWalking implements automatic span collection, context propagation, unique trace IDs, sampling strategies, and performance optimizations to provide low‑overhead observability for backend systems.
QQ Music achieves high availability by layering redundant multi‑datacenter architecture, proactive chaos‑engineering toolchains, and comprehensive observability—including metrics, logging, tracing and profiling—while employing service grading, adaptive retry windows and EMA‑based dynamic timeouts to gracefully handle faults across its massive micro‑service ecosystem.
This article explains why latency analysis is crucial for user experience in large distributed services, reviews common methods such as RPC monitoring, CPU profiling, and distributed tracing, and then dives deep into the principles, implementation, aggregation, storage, and visualization of critical path analysis, showcasing its practical impact in Baidu's App recommendation platform.
This article explores the challenges of end‑to‑end tracing on mobile apps, explains why issues are hard to reproduce, and presents a four‑step solution using a unified OpenTelemetry standard, automated data linking, performance optimizations, and machine‑learning‑driven root‑cause analysis.
The article details the evolution, architecture, capabilities, challenges, and future plans of Vivo's comprehensive monitoring platform, covering its transition from simple Zabbix setups to a cloud‑native, AI‑ops enabled system that ensures service availability across massive infrastructure.
This article details eBay's event platform architecture, explaining why a dedicated event system is needed, how ClickHouse provides high‑performance storage, the use of Kubernetes CRDs for cross‑region high availability, data routing, read/write separation, and query optimizations with LogQL.
Meituan’s technology team highlights its twenty most‑read 2022 blog posts, spanning observability, system design, data governance, AI, cloud‑native engineering, and practical innovations such as visual log tracing, Kafka scaling, functional programming, Elasticsearch optimization, CI/CD pipelines, and advanced object‑detection frameworks.
The article details how Tencent’s health‑code platform leveraged a cloud‑native, serverless architecture, extensive observability (Prometheus, Grafana, RUM), rigorous capacity testing, chaos engineering, and ITIL‑based change management to sustain billions of page views, support massive concurrency, and ensure reliable, scalable epidemic‑control services.
This article introduces eBPF, explains its origins and how it extends BPF for kernel‑level observability, compares it with SystemTap and DTrace, outlines common use cases, details its loading‑compile‑execute workflow, and provides step‑by‑step Python/BCC examples with installation instructions and advanced latency measurement code.
This article explains how enterprises can design and implement a comprehensive observability platform—covering metrics, logs, tracing, fault response, post‑mortems, testing, capacity planning, and automation—to improve system reliability and user experience.
This article recounts a year‑long, hands‑on experience of deploying and continuously optimizing Apache SkyWalking for full‑link monitoring in a large micro‑service environment, covering the motivations, architecture choices, pre‑research, POC integration, and a series of performance‑tuning steps that reduced segment storage from billions to millisecond‑level query latency.
This article explains how to design a high‑availability SMS system by identifying stability bottlenecks, defining reliability goals, implementing failover strategies for Redis, MySQL and external services, establishing a comprehensive observability framework, and measuring key quality metrics to ensure 99.99% uptime.
This article explains how to design effective Prometheus metrics, choose appropriate vectors, labels, buckets, and naming conventions, and offers Grafana usage tricks to help engineers monitor online services, batch jobs, and offline processing systems with clear, actionable insights.
This article introduces Grafana Tempo, its integration with Grafana, Prometheus, Loki, and the new TraceQL query language, explaining how they provide a lightweight, scalable tracing solution for small‑to‑medium teams and enhance observability through powerful, data‑type‑aware queries.
After rebuilding its transaction system in 2020, 得物 progressed from the basic CAT monitoring tool to OpenTracing with Prometheus, and finally adopted OpenTelemetry to unify metrics, traces, and logs via a custom vmagent‑Kafka‑Flink pipeline, dynamic sampling, and extensible javaagents, positioning the platform for a performance‑analysis‑driven future.
The article examines whether establishing national standards for Chinese domestic databases can foster industry development, weighing the risks of over‑regulation against the benefits of standardized observability, data‑dictionary, cloud‑integration, and programming interfaces, while sharing real‑world migration experiences.
This article explains the motivations for selecting Grafana Loki instead of ELK/EFK, introduces its core concepts and features, provides step‑by‑step deployment instructions for Promtail and Loki, and demonstrates how to configure Grafana, query logs, and handle label indexing, dynamic tags, and high‑cardinality challenges.
This article explains how RocketMQ's message lifecycle can be fully observed using OpenTelemetry‑based metrics, covering producer, broker, and consumer stages, and shows practical monitoring, alerting, and troubleshooting practices for cloud‑native deployments.
This article presents a comprehensive, three‑part guide on the current state of full‑stack operations monitoring, common challenges and solutions, and a real‑world use case, illustrating how Alibaba Cloud Elasticsearch can improve observability, boost performance, and cut costs for complex distributed systems.
This article explains data governance fundamentals, outlines common evaluation shortcomings, and introduces observability concepts and the GuanCe Cloud platform as a way to objectively measure and improve governance outcomes across the entire data lifecycle.
The article outlines the recent Spring 6.0 release, the cascade of updates across major Spring projects, and previews the upcoming Spring Boot 3.0.0, highlighting the first RC, the new aot.factories feature, and enhanced observability for Java developers.
This article presents ByteDance’s experience building a massive trace‑data analysis platform, covering observability fundamentals, the evolution of its distributed tracing system, various aggregation computation models, technical architecture choices, and concrete use‑cases such as precise topology, traffic estimation, dependency analysis, performance anti‑patterns, bottleneck detection, and error propagation.
This article explains how RocketMQ integrates with Prometheus and Grafana to provide comprehensive metrics, tracing, and logging, detailing the exporter architecture, deployment choices, span topology, dashboard examples, and ARMS‑based alerting for cloud‑native message‑queue observability.
This article explains how SRE teams should define Service Level Indicators, Objectives and Agreements, manage reliability, performance, saturation and observability, use proper metrics and tracing, handle error budgets, assess risks, and implement effective incident and project management to create robust, cloud‑native services.
Grafana Phlare is an open‑source, horizontally scalable continuous profiling database that integrates with Grafana, offering easy installation, multi‑tenant support, and object‑storage‑backed long‑term storage, with detailed deployment instructions for both monolithic and micro‑service modes on Kubernetes using Helm.
This article explains the current state of cloud‑native alerting, introduces Grafana Mimir as a horizontally scalable, multi‑tenant storage for Prometheus, details its architecture and components, and provides step‑by‑step guidance for installing, configuring, and operating Mimir in Kubernetes environments.
The article details Zhengcaiyun's government procurement cloud platform, its large‑scale architecture, migration to the domestically‑adapted Dragonfly operating system, integrated cloud‑native operations, observability built on OpenTelemetry, and ongoing efforts to enhance security, performance, and ecosystem collaboration.
The article details Zhengcaiyun's government procurement cloud platform, its large‑scale deployment architecture built on the Longxi OS, covering cloud‑native design, domestic adaptation, observability, and operational practices that enable high‑performance, secure, and scalable public procurement services.
This guide explains why native cloud monitoring falls short, how building custom Prometheus exporters adds overhead, and how Alibaba Cloud's fully managed Prometheus service—through enterprise cloud‑monitoring and self‑monitoring integration modes—provides ready‑to‑use exporters, agents, Grafana dashboards, and alert templates for dozens of cloud products.
This article explains why Zipkin is needed for microservice observability, describes its architecture, core components, trace and span model, workflow, and provides step‑by‑step Docker and JAR deployment instructions, helping developers quickly locate service bottlenecks and failures.
This article provides an overview of five leading observability solutions—Datadog, Grafana, Instana, New Relic, and Prometheus—detailing their core features, supported data sources, deployment models, and how they help teams monitor cloud‑native applications, infrastructure, and services to ensure reliability and performance.
This article explains how Grafana Mimir provides a scalable, highly‑available, multi‑tenant long‑term storage for Prometheus, details its architecture and core components such as compactor, distributor, ingester, querier, query‑frontend and store‑gateway, and shows step‑by‑step installation, status checking, and Alertmanager configuration for cloud‑native environments.
This guide explains how to use Alibaba Cloud's fully managed Prometheus service to collect and visualize metrics from ECS‑based applications across pure VPC, hybrid VPC‑IDC, and multi‑cloud scenarios, detailing the pain points of self‑built solutions and providing step‑by‑step configuration instructions.
This article walks through adding complete observability to Spring Boot 3 applications using Micrometer's Observation API, covering metrics, tracing, log correlation, configuration, code examples for both server and client, and even native image support for production-ready monitoring.
This article introduces Application Performance Management (APM), explains the features of Apache SkyWalking for micro‑service and cloud‑native monitoring, and provides step‑by‑step Docker‑compose installation, agent configuration, and a detailed walkthrough of the SkyWalking UI components.
High availability—measured in nines of uptime—requires partitioning systems, decoupling components, choosing robust technologies, deploying redundant instances with automatic failover, capacity planning, rapid scaling, traffic shaping, resource isolation, global protection, observability, and disciplined change management to achieve stable, resilient services.
This article presents a practical three‑step methodology—understanding, managing, and preventing—to troubleshoot Kubernetes deployments, explains how to leverage monitoring, observability, and incident‑response tools, and offers guidance on fostering team collaboration and building resilient, self‑healing cloud‑native systems.
This article explains how Spring Boot 3.0.0‑RC1 integrates Micrometer Observation to provide unified metrics, logging, and distributed tracing, showing the required dependencies, configuration, code examples for both server and client, and how to visualize data with Prometheus, Grafana, Loki, and Tempo.
RocketMQ 5.0 introduces a brand‑new unified API built on gRPC, refines client types, adds four message categories, pre‑fetches topic routes, embeds a telemetry channel, and provides OpenTelemetry‑based tracing and metrics, all while offering a cloud‑native SDK repository for developers.
This article presents a complete solution for routing Sentry error and performance data to the correct micro‑frontend projects in a Qiankun architecture by intercepting transport, redistributing URLs, and distinguishing transaction types, with detailed code examples for both Sentry 6.x and 7.x versions.
This article explains the fundamentals of service mesh as a cloud‑native infrastructure layer, covering its control‑plane and data‑plane architecture, sidecar and waypoint proxies, L4/L7 decoupling, eBPF acceleration, zero‑trust security, traffic management, observability, and real‑world deployment scenarios.
This translated article shares 42 practical lessons from Mahesh Balakrishnan’s experience building a production database, covering customer focus, project management, design principles, code review, strategy, observability, and research practices for reliable infrastructure development.
This article presents a comprehensive overview of using Elasticsearch as a time series engine, covering its motivations, challenges, key features, Alibaba Cloud TimeStream optimizations such as columnar storage, LSM structures, downsampling, and integration with Prometheus and Grafana, while also discussing performance and cost considerations.
