This article explores why logs are essential in software development, outlines when to record them, discusses the value of logging in large-scale distributed systems, and examines the capabilities required of log‑operation tools such as APM, metrics, tracing, ELK, Prometheus, and custom batch querying solutions.
This article examines how a metrics‑driven development approach, combined with observability tools like Prometheus, helped a large online used‑car marketplace improve system insight, accelerate business processes, and deliver measurable performance and efficiency gains across both customer‑facing and dealer‑facing operations.
This article explains how to use Prometheus to monitor business‑level metrics in a Kubernetes environment, covering observability fundamentals, metric definitions, metric types, exposing metrics via a /metrics endpoint, and practical Go code examples for defining, recording, and scraping custom metrics.
This guide explains Loki's core concepts, deployment steps for Promtail and Loki, Grafana integration, label‑based indexing, handling dynamic and high‑cardinality tags, and query optimization techniques, providing a complete roadmap for building a cost‑effective, scalable log aggregation system.
This article explains the evolution of observability, outlines a step‑by‑step diagnosis workflow using metrics, logs and tracing, highlights the blind spots of traditional tracing, and demonstrates how Alibaba Cloud ARMS continuous profiling and code‑hotspot features can pinpoint slow call‑chain issues in Java applications.
The article examines how rapid Kubernetes adoption accelerates development velocity but also introduces hidden frictions such as standardization limits, DevOps disruption, monitoring difficulties, and team isolation, emphasizing the need for collaborative platform engineering and contextual observability.
This article presents Kuaishou's comprehensive journey of adopting Flink on Kubernetes, covering its background, evolution, architecture, production migration, observability, testing, and future plans, and demonstrates how large‑scale streaming workloads are transformed to a cloud‑native environment.
This guide walks through installing OpenTelemetry Collector on a Kubernetes cluster using Helm, configuring DaemonSet and Deployment collectors, integrating Prometheus for metrics, and customizing receivers, processors, and exporters to achieve comprehensive observability of nodes, pods, containers, and cluster resources.
The article details a scalable live‑stream full‑stream data system that replaces a tightly‑coupled legacy architecture with a producer‑consumer model using a custom key‑value store, bucket sharding, gRPC server‑streaming, versioned caching, and comprehensive observability, achieving sub‑second queries, horizontal scalability, and reliable support for thousands of downstream services.
This guide explains how to enable OpenTelemetry in Apache Airflow, configure an OTel collector, use Prometheus as a metrics backend, set up Grafana dashboards, and visualize sample DAG metrics, providing a complete observability stack for Airflow pipelines.
Chaos engineering is a disciplined approach to testing distributed systems by intentionally injecting failures to verify resilience, covering its definition, origins at Netflix, operational workflow, benefits, challenges, and practical steps for organizations to adopt resilient cloud‑native applications.
This article details DeWu's evolution from a sneaker marketplace to a full‑stack e‑commerce platform and explains how its cloud‑native monitoring system, based on OpenTelemetry, ClickHouse, and object storage, was architected, optimized, and scaled to handle billions of spans daily.
Facing exponential growth of time‑series data from 2017 to 2023, Didi migrated from InfluxDB to RRDtool, then to an in‑memory cache layer, and finally adopted VictoriaMetrics because its low‑cost commodity‑hardware operation, high write throughput, strong compression, and easy horizontal scaling solved the earlier storage, OOM, and scalability problems.
The live‑streaming room service was re‑architected using CQRS, dividing read‑heavy viewer functions from write‑intensive broadcaster operations, splitting the monolith into focused Go micro‑services, adding multi‑level caching, event‑driven sync, extensive observability, and automated incident‑response to achieve massive scalability and rapid fault recovery.
To replace costly, duplicated Flink jobs, Didi built Observe‑Compute (OBC), a cloud‑native, PromQL‑driven real‑time metric engine with centralized policy management, scalable containerized workers, and zero‑downtime scaling, achieving million‑RMB annual savings while handling 10 M points per second.
This article explains how Alibaba Cloud's Serverless Application Engine (SAE) builds end‑to‑end stability by dividing fault handling into prevention, detection, localization and recovery, using a Kubernetes‑based diagnostic engine, runtime availability probes, a unified alert center, and a plug‑in architecture for root‑cause analysis.
This article explains how the automotive platform accelerated its cloud‑native service‑mesh transformation by integrating Opentelemetry, Prometheus, and Grafana, then details the configuration and practical use of Grafana's unified alerting module—including installation, data source setup, alert rule definition, contact points, message templates, and silencing—to achieve comprehensive observability and automated incident response.
This article describes how ZhaiZhai unified dozens of legacy monitoring tools into a single, all‑in‑one observability platform by adopting Prometheus + Grafana, extending the Prometheus client to push metrics to M3DB, automating Grafana dashboard creation, and building a custom alerting service to reduce operational complexity and improve visibility across business, middleware, and infrastructure services.
Didi’s observability platform leverages non‑intrusive eBPF probes to automatically capture and validate service‑to‑service call tuples, supplement missing SDK data, achieve roughly 80 % core‑path coverage, and address verification challenges while planning future user‑space VM hooks and deeper MTL integration.
This article shares Huolala's experience designing a unified monitoring platform UI, covering the evolution from open‑source dashboards to a fully self‑developed solution, simplification of PromQL, computed metrics, log and trace integration, and the challenges of alert configuration and visualization.
This article provides a side‑by‑side comparison of nine popular log management tools—Filebeat, Graylog, LogDNA, ELK, Grafana Loki, Datadog, Logstash, Fluentd and Splunk—detailing each product's core features, pricing models, advantages and disadvantages to help you choose the right solution for your observability needs.
This article explains how metrics are used to monitor software performance, introduces basic metric components and dimensional metrics, compares Prometheus, OpenMetrics and OpenTelemetry standards, and provides detailed guidance on Prometheus metric types—Counter, Gauge, Histogram, and Summary—with code examples and query patterns.
This article details how Vivo's container platform faced exploding metric volumes, component overload, data gaps, and storage spikes, and explains the step‑by‑step architectural redesign, metric governance, performance tuning, cAdvisor redeployment, and VictoriaMetrics upgrade that restored high‑availability, low‑latency monitoring across a large Kubernetes fleet.
DeeTune is Baidu’s eBPF‑based cloud‑native network framework that automatically builds complete service topologies, records configurable inter‑service traffic, and provides non‑intrusive metric monitoring with minimal CPU and memory overhead, enabling efficient fault localization and performance analysis across heterogeneous PaaS and container environments.
Learn step‑by‑step how to set up Prometheus and Grafana with a Spring Boot 2.4.12 application, configure dependencies, expose metrics via Actuator, customize meters, and monitor database connection pools, providing a complete observability solution for Java backend services.
At Didi, observability and stability engineering combine automated, AI‑driven alarm generation, distributed tracing, and ChatOps‑based fault handling to manage micro‑service complexity, massive traffic spikes, and cross‑region operations, emphasizing systematic investment, AIOps evolution, and a recruitment call for backend and test engineers.
The article explains how MySQL 8 enhances replication observability by exposing detailed metrics through Performance Schema tables and sys schema views, providing DBAs with richer information such as per‑channel lag, worker thread states, and full replication status beyond the traditional SHOW REPLICA STATUS output.
The article explains how cloud‑native observability systems gather massive telemetry from infrastructure, containers, middleware and services, compares direct push and file‑based collection approaches, and details head, tail and local sampling methods to optimize data completeness and performance.
This article compares six open‑source log management platforms—OpenObserve, Grafana Loki, SigNoz, Graylog, Syslog‑ng, and Highlight.io—detailing their features, deployment options, advantages, and drawbacks to help you choose the most suitable solution for effective observability and system performance.
This article details Huolala's one‑stop monitoring platform called Monitor, covering its multi‑cloud architecture, data collection pipelines, real‑time business monitoring, unified alarm handling, and future AI‑driven enhancements, while sharing concrete metrics, incident case studies, and practical implementation steps for large‑scale observability.
This guide explains how to design effective Prometheus metrics, choose appropriate monitoring objects, labels, and buckets, and leverage Grafana visualizations to gain deep insight into application performance across online services, offline processing, and batch jobs.
This article explains what microservices are, compares them with monolithic architecture, outlines their benefits and challenges, highlights the importance of observability, and reviews the top ten microservice frameworks and best‑practice guidelines for 2023.
Facing unpredictable software behavior, the article explains why traditional system‑level monitoring often misses critical business issues, especially in complex pricing services, and presents a comprehensive approach that combines result (black‑box) and process (white‑box) monitoring, practical metrics, and actionable recommendations to improve observability and reduce operational risk.
This article explains how measurement (SLI/SLO), governance (architecture refactoring, MTTx), and validation (chaos engineering, disaster drills) interrelate in microservice systems, illustrating how observability drives governance actions, governance improves metrics, and validation reinforces both through continuous testing.
This guide explains how to collect Nginx access logs, convert them to JSON, ship them with Promtail to Loki, and visualize the data in Grafana, including installation steps, configuration snippets, GeoIP setup, and dashboard customization for a complete observability solution.
The article explains why microservice governance—through measurement, targeted remediation, and verification—is crucial for maintaining system stability, reducing complexity, and improving availability in large‑scale, rapidly evolving architectures.
This article traces the evolution of eBPF from its BPF predecessor, explains its kernel requirements, security model, probe mechanisms, performance impact, tracing capabilities, and potential event‑loss risks, and looks ahead to its expanding role in networking and system observability.
This article explains how to design a Prometheus‑based cloud‑native monitoring solution, covering target selection, metric collection, server configuration, Grafana visualization, and alert management with practical examples and code snippets.
This article explains how Dubbo3’s new observability starter provides visual cluster metrics, full‑link tracing, multi‑dimensional monitoring, Prometheus/Grafana integration, and log management, offering practical steps and configurations for building a robust cloud‑native microservice observability platform.
The article describes an eBPF‑based, language‑agnostic traffic recording framework that hooks low‑level socket operations and thread identifiers to capture complete request‑response flows across Java, PHP, and Go services without modifying application code, dramatically lowering implementation and maintenance costs for cloud‑native traffic replay.
This article explains how service mesh complements Kubernetes by providing advanced traffic management, observability, and security for microservices, discusses common distributed‑system fallacies and service‑governance challenges, compares Istio with FloMesh, and explores future trends such as Wasm sidecars, ambient mesh, and eBPF.
This article introduces a comprehensive set of Linux performance and observability tools—such as vmstat, iostat, dstat, iotop, pidstat, top/htop, mpstat, netstat, ps, strace, uptime, lsof, perf, and sar—explaining their purpose, typical usage, and how they fit into basic and advanced performance analysis workflows.
The article discusses the renewed relevance of performance engineering amid the slowdown of Moore’s Law, highlighting the Chinese edition of "Systems Performance: Enterprise and the Cloud," modern observability tools like eBPF, the "golden 60‑second" analysis, and the push toward continuous performance monitoring and expert systems.
This article summarizes a technical talk on the challenges of cloud‑native transformation, the design of an application‑centric observability platform using CMDB, Prometheus, Thanos and VictoriaMetrics, practical solutions for high‑cardinality metrics and alerting, and future directions such as eBPF and AI‑driven fault detection.
Tengine‑Ingress is Alibaba’s cloud‑native Ingress gateway built on the high‑performance Tengine‑Proxy, replacing the legacy Unified Access with dynamic, loss‑less configuration, per‑domain gray‑rollout, dual‑certificate TLS, real‑time observability, and checksum validation, achieving up to 20 % lower latency, CPU and memory usage while scaling to thousands of pods, and paving the way for a universal API gateway supporting TCP, UDP, gRPC, QUIC/HTTP3 and advanced TLS.
This article reflects on years of designing large‑scale backend systems at Tencent, discussing how to define clear architecture boundaries, ensure high availability, integrate diverse technologies, and use observability and monitoring to continuously evolve and improve massive service architectures.
Kelemetry, an open‑source tracing system from ByteDance, visualizes Kubernetes control‑plane events by treating each object as a span, linking audit logs, events, and component interactions to provide a unified, searchable view that simplifies debugging, performance analysis, and multi‑cluster observability.
This article curates the most valuable Spring I/O 2023 video sessions—covering the latest Java version adaptations, Spring Framework and Boot innovations, cloud‑native deployments, security, observability, and architectural best practices—providing concise Chinese summaries so developers can quickly identify which talks merit deeper viewing.
This article details Bilibili's evolution from the ClickHouse‑based Billions 2.0 log system to the Billions 3.0 architecture, explaining how they reduced storage costs, improved troubleshooting, adopted a lake‑house design with Iceberg on HDFS, leveraged ClickHouse for acceleration, and integrated Trino as the unified query engine.
This article describes Qunar's comprehensive root cause analysis platform, detailing its background, data-driven fault categorization, architecture—including trace, runtime, middleware, and event analysis modules—and demonstrates its high accuracy and practical impact on reducing incident resolution times across microservice services.
MyPerf4J is a Java‑agent based, low‑overhead performance monitoring library that provides real‑time method, memory, GC and class metrics for high‑concurrency, low‑latency applications, offering quick start, configurable properties, and detailed statistical reports for both development and production environments.
Tencent’s big data platform introduces a data‑plus‑algorithm driven autonomous solution that automates self‑diagnosis, self‑optimization, and self‑management for trillion‑scale analytics, addressing challenges of massive task governance, resource efficiency, and stability through observable data foundations, pluggable decision engines, and generalized AI decision intelligence.
This article examines the challenges of maintaining stability across cloud and on‑premise environments, explains how Ant Group's Business‑Intelligent Observability Service (BOS) addresses these issues through unified metadata, seamless application integration, data standardization, and extensive case studies, and demonstrates the resulting improvements in reliability and operational efficiency.
The author reflects on the shortcomings of current logging, metrics, and tracing practices, explains why they become costly and unscalable, and offers concrete recommendations—including log level discipline, structured logging, metric aggregation, and the use of tools like Prometheus, Cortex, and Thanos—to build a more efficient observability stack.
This article explains the concepts and importance of observability, introduces the Vector data‑pipeline tool and its architecture, demonstrates how to configure sources, transforms and sinks, and shows how to integrate Vector with the Honghu platform to build a complete, real‑time monitoring solution for modern distributed systems.
This article explains how QQ Music embraces inevitable faults by building a high‑availability architecture that combines redundant infrastructure, automated failover, stability strategies, a robust toolchain for chaos engineering and full‑link load testing, and comprehensive observability to ensure graceful fault handling at scale.
This article outlines key design patterns and principles—such as scalability, idempotency, asynchronous processing, health checks, circuit breakers, feature flags, bulkheads, service discovery, retries, metrics, rate limiting, back‑pressure, and canary releases—that enable large‑scale, reliable, and resilient distributed systems.
The article details how Meituan built a MySQL autonomous platform by constructing kernel observability to split OnCPU/OffCPU wait time, capturing full SQL directly from the kernel with compression, designing a safe exception‑handling workflow, and generating cost‑based index‑tuning suggestions—including what‑if analysis and workload‑driven recommendations—to enable comprehensive SQL governance.
This article describes Qunar's systematic client crash governance framework, covering background challenges, APM‑based fast problem discovery, multi‑level alerting, common‑issue remediation, code‑level fixes for URL and Bundle size crashes, detection tools, code checks, automated testing, and the measurable improvements achieved in Android and iOS stability.
eBPF, a safe, high‑performance Linux kernel extension evolving from the 1993 Berkeley Packet Filter to modern dynamic tracing, underpins Didi’s HuaTuo platform, which consolidates bytecode management, fast data processing, stability self‑healing, and container insight to solve traffic replay, topology, security, and root‑cause analysis challenges across cloud‑native services, with plans to broaden business use and community collaboration.
This article explains how to design effective Prometheus metrics for various application types, covering golden metrics, label selection, naming conventions, bucket choices, and Grafana visualization tips to help engineers build reliable observability solutions.
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.
