This article introduces the 58 self‑developed Faas serverless function compute platform, explaining its background, key features, architecture components, function build and deployment processes, scaling mechanisms, and its role in enabling rapid development of mini‑program cloud solutions.
This page introduces Alibaba’s free‑downloadable book “Alibaba Cloud‑Native Practice: 15 Lectures,” which compiles key insights from nine years of cloud‑native engineering, covering Kubernetes migration, large‑scale container reliability, serverless, GPU sharing, image distribution, and other real‑world solutions for developers.
This article explains the concept of cloud native computing, covering its definitions, the role of containers and orchestration, the benefits and challenges of micro‑service architectures, and practical tools like Docker and Kubernetes for building scalable, portable applications.
This article details Xiaomi's end‑to‑end, highly available Kubernetes monitoring solution that combines Prometheus, OpenTSDB, and Falcon to handle massive dynamic metrics, ensure persistent storage, and support seamless scaling across multiple clusters.
An in‑depth look at Didi’s Jianshu Machine Learning Platform reveals its end‑to‑end AI workflow—from experiment environments and batch training to high‑availability online serving—highlighting resource‑efficient Kubernetes scheduling, Docker‑based reproducible environments, a custom parameter server, and the IFX inference engine that together accelerate development, training, and deployment.
This article explains the core concepts of Knative Build, outlines its most important features, and provides detailed YAML examples for steps, templates, sources, service accounts, volumes, and timeout configuration, helping developers create native Kubernetes pipelines without pre‑provisioned build environments.
This article explains why Jaeger is a popular cloud‑native tracing solution, describes its architecture, sampling options, and deployment strategies on Kubernetes—including DaemonSet and Sidecar modes—followed by a step‑by‑step Django integration example and guidance on monitoring, alerting, and resource cleanup.
This article introduces Helm as a Kubernetes package manager, explains the Chinese Helm Hub alternative AppHub, guides readers through installing Helm v3, adding the AppHub repository, and quickly deploying the Guestbook example with step‑by‑step commands and optional one‑click UI.
Alibaba Cloud’s Kubernetes service integrates four native monitoring services—SLS, ARMS, AHAS, and Cloud Monitor—while offering enhanced open‑source components and autoscaling mechanisms such as HPA, VPA, cronHPA, Resizer, Cluster‑Autoscaler, and virtual‑kubelet‑autoscaler, enabling cloud‑native apps to achieve robust observability and elastic scaling.
On June 29, the Apache Flink Beijing Meetup presented a comprehensive analysis of Flink 1.9’s major architectural changes, new Table API & SQL capabilities, runtime and core enhancements, and future roadmap, with slides and resources made available for download.
This article summarizes the SOFAStack Cloud Native Workshop held at KubeCon China 2019, detailing Ant Financial’s journey from centralized to cloud‑native architectures, the open‑source SOFAStack ecosystem, and a hands‑on five‑hour demo that builds a micro‑service‑based online bookstore using Kubernetes, Service Mesh, Serverless, and distributed transaction technologies.
OpenKruise, announced at KubeCon Shanghai 2019, is Alibaba's open‑source cloud‑native automation engine that extends Kubernetes with custom controllers for deployment, upgrade, scaling, and sidecar management, offering in‑place updates, parallel upgrades, and a GitHub repository for community contributions.
The Kubernetes 1.15 release introduces 25 enhancements—including stable, beta, and alpha features—focused on sustainability, API extensibility, admission webhook improvements, cluster lifecycle stability, CSI storage advances, and deprecations, providing a comprehensive overview of the new capabilities and updates.
This article details the design and evolution of a highly available, persistent, and dynamically adjustable Kubernetes monitoring solution at Xiaomi, covering initial Falcon‑based approaches, the transition to Prometheus with remote storage via OpenTSDB, federation‑based partitioning, deployment strategies, performance testing, and future enhancements.
The article analyzes a slowdown issue in the 58 Cloud Platform caused by an overloaded API Server and uneven Etcd load, explains the root causes—including load‑balancing failure and missing namespace segmentation—and presents concrete remediation steps such as DNS round‑robin, namespace partitioning, Etcd client upgrade, and cache‑enabled queries.
This article explains how container technology, including Docker and Kubernetes, empowers modern frontend development by improving build isolation, accelerating testing, enabling rapid rollbacks, and providing stable, scalable deployment pipelines for web, mobile, and mini‑program applications.
The article explains how Docker and Kubernetes use Linux namespaces to isolate processes, network, IPC, mounts, UTS and users, and employ cgroups to enforce CPU, memory and I/O limits, detailing Docker’s architecture, Kubernetes’s millicore‑based resource model, QoS classes, and the hierarchical pod‑level cgroup structure.
Kube-OVN 0.5 introduces full Kubernetes NetworkPolicy support via Openflow, customizable container interfaces and MTU, automatic system parameter tuning, auto‑computed default gateways, and additional CLI options, while its open‑source design brings comprehensive OVN‑based networking features to Kubernetes across diverse platforms.
This roundup covers Gartner’s eight predicted cloud‑native infrastructure trends, a five‑year reflection on Kubernetes, recent upstream Kubernetes changes, and highlights two open‑source tools—ksniff for pod traffic capture and Flagger for service‑mesh‑based canary releases—providing developers with actionable insights into the evolving cloud‑native ecosystem.
The article chronicles the historical shift from low‑level functions through object‑oriented, interface‑driven, and component‑based designs to WebServices, microservices, and finally serverless cloud‑native applications, highlighting key industry milestones, Amazon's architectural principles, and the role of DevOps, Docker, and Kubernetes.
This tutorial walks through setting up Knative Eventing to capture Kubernetes events, covering the Broker/Trigger model, required prerequisites, creating service accounts, defining an ApiServerSource, deploying a simple event‑display service, configuring a Broker and Trigger, and verifying event delivery.
This article explains why modern enterprises need a middle platform, how to construct a cloud‑native technical middle platform using Kubernetes and .NET Core, and the advantages of these technologies for fast, cost‑effective development and operations in startup environments.
This article explains how incorporating hosted‑cloud physical servers into UCloud's UK8S cluster enables seamless hybrid‑cloud operation by improving resource utilization during low‑traffic periods, simplifying network, storage, and load‑balancing configurations, and reducing the operational overhead of managing separate Kubernetes clusters.
This article summarizes OPPO's comprehensive Docker security strategy, covering the container ecosystem, key vulnerabilities, image and runtime protection, Kubernetes hardening, deep image scanning, host hardening, logging, traffic analysis, and future challenges in large‑scale container deployments.
This week’s roundup covers two high‑severity Docker CVEs (CVE‑2019‑5021 privilege escalation in Alpine images and CVE‑2018‑15664 TOCTOU flaw in docker cp), Kubernetes moving to Go modules, new Envoy request‑mirror and route‑debug features, Knative’s stateful‑serverless experiment, Istio 1.0 EOL, Cilium’s BPF‑based network policy, and emerging Service Mesh trends, all with reference links for deeper reading.
This guide walks you through creating a Kubernetes cluster on Alibaba Cloud, installing Istio and Knative components, deploying a Go Hello World service, and using scripts and load‑testing tools to observe Knative’s zero‑scale‑to‑one and automatic scaling behavior.
The article explains the evolution of server-centric models from IaaS, PaaS, and SaaS to modern Serverless concepts such as BaaS and FaaS, discusses their technical mechanisms, practical implementations with Flask, and surveys public, private, and packaging frameworks within the cloud computing ecosystem.
This talk shares Kuaishou's practical experience in building a private Kubernetes container cloud, optimizing Docker image layers, using Helm for application deployment, implementing GitLab CI/CD pipelines, and adopting Istio service mesh for multi‑cluster service governance, highlighting challenges and solutions for real‑world adoption.
This article introduces Istio as an open‑source service mesh, explains its data‑plane and control‑plane architecture, outlines its traffic management, security, and telemetry features, discusses performance considerations, and shows how Lingque Cloud ASM leverages Istio to solve typical microservice problems such as debugging, testing, release processes, and flexible network policies.
Facing scaling and resource‑management limits of a legacy Java‑centric ops platform, a team rebuilt their deployment system from 2018 onward, adopting Docker, Kubernetes, Prometheus, and kube‑router, while ensuring seamless migration for thousands of services and addressing networking, memory, and debugging challenges.
The 2019 Enterprise‑Level DevOps Empowerment Forum in Chengdu gathered experts from major Chinese banks and telecoms to share practical experiences, including China Merchants Bank’s K8s‑based pipeline, measurement challenges, and collaborative Q&A, illustrating how organizations can accelerate DevOps adoption and improve delivery efficiency.
At KubeCon EU 2019, Alibaba Cloud expert Deng Hongchao dissected key application‑management advances—including automated ConfigMap‑driven upgrades, server‑side apply, GitOps workflows, and automated canary rollouts—offering practical analysis and guidance for modern Kubernetes deployments.
This article explains Kubernetes native NetworkPolicy, covering its purpose, supported CNI plugins, detailed field definitions, default behaviors, example policies, and historical changes, providing a comprehensive guide for configuring pod communication rules in a cloud‑native environment.
This article explores Apache Kafka’s evolution, core messaging and stream processing capabilities, typical use cases, internal storage mechanisms, API choices, and best practices for deploying Kafka on Kubernetes, providing readers with comprehensive guidance to assess suitability and implement effective Kafka solutions.
This article explains the fundamentals of Linux control groups (cgroups), their components and hierarchy rules, and demonstrates how to create, configure, and apply cgroups for resource limiting in containers using shell commands, Docker, and Kubernetes.
The article introduces Service Mesh Interface (SMI), a lightweight standard for Kubernetes service meshes, explains its design goals, details the core API objects for traffic specification, access control, traffic splitting, and monitoring, and reviews the ecosystem of vendors and contributors supporting the specification.
This article explains Kubernetes' origins, its pivotal role in the cloud‑native ecosystem, practical steps for migrating legacy applications, common operational challenges, and emerging trends such as service mesh, serverless, and data‑service integration.
The case study details how Pandora’s marketing solution for Tencent’s games was migrated to a managed Tencent Cloud Kubernetes cluster, compares container‑service, serverless, and self‑built options, outlines the new image‑based deployment workflow, autoscaling, monitoring practices, and demonstrates the operational benefits of tighter dev‑ops collaboration.
This article introduces the fundamentals of Istio as a service mesh, explains its data‑plane and control‑plane architecture, and details the roles of the Pilot component—including pilot‑agent and pilot‑discovery—in providing service discovery, traffic management, and integration with Kubernetes for microservice deployments.
This article presents a concise yet detailed formal model of the Kubernetes Scheduler, describing its control‑loop logic, scheduling and preemption processes, feasibility filters, viability scoring, and binding objects using TLA+ specifications and illustrative code snippets.
This article explains how Istio simplifies microservice management by providing a full service‑mesh solution—including service discovery, load balancing, fault recovery, telemetry, and traffic control—while detailing its architecture, the roles of the data and control planes, and the functions of the Pilot components.
Learn how to perform single‑machine multi‑GPU and multi‑node multi‑GPU training with MXNet, understand KVStore modes, configure workers, servers, and schedulers, and deploy large‑scale distributed training on Kubernetes using Kubeflow, including operator installation, task creation, and performance considerations.
This article explains the fundamentals of Linux Cgroups, their role in container resource isolation, how to create and manage hierarchies, control groups, and subsystems, and demonstrates practical usage with Docker and Kubernetes for CPU and memory limits.
The article explains cloud computing’s three service models—IaaS, PaaS, and SaaS—while highlighting how container technologies like Docker and Kubernetes have transformed the PaaS layer into a mainstream “container cloud,” driving faster deployments, DevOps convergence, and rapid market growth predicted to double by 2022.
This tutorial walks you through installing essential tools on CentOS, setting up Docker CE, configuring kubelet and kubeadm packages, initializing a Kubernetes master node, joining worker nodes, installing Flannel networking, and troubleshooting common issues, providing all commands and configuration steps needed for a functional cluster.
Alibaba’s R&D team introduced a service‑level virtualization technique called “feature environments,” which uses shared base environments and virtual routing to provide lightweight, isolated test environments, reducing cost and improving stability while leveraging containers, Kubernetes, and DevOps practices for large‑scale projects.
An Alibaba Cloud expert walks through a rare Kubernetes node NotReady issue, detailing how PLEG failures, Docker daemon stack traces, runC’s D‑Bus interactions, and a systemd cookie overflow combine to stall nodes, and explains the debugging steps and eventual fix.
This article introduces Kubeflow, explains the typical machine‑learning model lifecycle, outlines Kubeflow’s core components and Kubernetes advantages, provides detailed server and storage configuration, walks through ksonnet and Kubeflow installation steps, and shows how to verify deployments and access the Kubeflow UI.
This article introduces Kubeflow, a Kubernetes‑based machine‑learning platform, outlines the typical ML lifecycle, details core components, explains why Kubernetes benefits AI workloads, and provides a step‑by‑step guide for installing and accessing Kubeflow’s services, concluding with its industry impact.
The Beijing cloud‑native technology salon on April 20 showcased expert talks on Kube‑OVN networking, Oracle Linux Ksplice hot‑patching, 360’s Wayne multi‑cluster platform, YRCloudFile container storage, and CI/CD strategies, highlighting practical advances and open‑source projects for modern cloud environments.
Kubernetes performs in‑place container upgrades by detecting spec changes, computing pod actions that selectively kill and restart only the affected containers while preserving the pod sandbox, allowing sidecar updates without full pod recreation, reducing downtime and enabling custom operators for gray‑scale rolling upgrades.
This roundup covers GoDaddy's open‑source Kubernetes External Secrets project, free CNCF cloud‑native courses for Chinese developers, major Kubernetes performance and security enhancements, Knative and Istio updates, containerd improvements, a shift from rich‑container ops to cloud‑native practices, and recommended open‑source and reading resources.
This article describes the challenges of scaling the 58 Cloud Search service, explains why Prometheus was selected as the monitoring stack, and details the architecture, data collection, storage, alerting, visualization, and future enhancements of the resulting cloud‑native monitoring system.
This article details the design and evolution of Zhihu's deployment platform, covering its early physical‑machine system, the transition to container orchestration with Mesos and Kubernetes, and advanced features such as blue‑green, canary releases, pre‑deployment, and branch deployments that enable rapid, reliable continuous delivery for large‑scale internet services.
Shane Boulden, a Red Hat DevOps certification expert, outlines the eight most valuable DevOps skills—from mastering Kubernetes and micro‑service scaling to automation, container optimization, multi‑runtime interaction, identity management, OS expertise, and effective learning strategies—providing a practical roadmap for 2019 and beyond.
The article argues that AWS’s relationship to Kubernetes mirrors Windows’s historic dominance over Linux, examining vendor lock‑in, the evolution of cloud services, the economics of scaling, and why enterprises should consider open‑source alternatives and distribution‑based Kubernetes solutions to avoid being trapped.
This article explores the evolution and architecture of Kubernetes container runtimes, detailing Docker, containerd, CRI‑O, OCI standards, strong‑isolation solutions like Kata, gVisor and firecracker, and their implications for security and serverless workloads.
This article explains how to use a Python script to automatically delete outdated images from a private Harbor registry, detailing the background, approach, deletion workflow, current limitations, and providing the full source code for easy adaptation.
The article reviews Kubernetes 1.14, highlighting major advances such as full Windows node and container support, the integration of Kustomize for native application management, performance optimizations for large‑scale clusters, and enhancements to extensibility and stability that signal the platform’s continued evolution.
UK8S’s custom CNI plugin integrates VPC networking to give containers native cloud performance, but a bug caused kubelet to create a second sandbox container, leading to missing NETNS parameters and VPC IP leaks; the article details the investigation, root‑cause analysis, and the patch fixing the issue.
This article examines the challenges of big‑data storage in containerized environments, compares compute‑storage‑separated architectures with traditional setups, presents performance and cost benchmarks of Alibaba Cloud ECS instances, and outlines practical storage options such as OSS, NAS, and DFS for Spark workloads on Kubernetes.
This article details a front‑end engineer's journey of containerizing a static‑site project with Docker and Kubernetes, addressing node_modules caching, oversized images, and complex deployment workflows, and presents three optimizations—caching dependencies, shrinking base images, and using multi‑stage builds—that cut image size to 25 MB and halve CI build time.
The article explains how many companies struggle with inefficient DevOps communication and proposes a solution based on process, standardization, automation, and platformization, culminating in a lightweight Kubernetes‑based PaaS that reduces operational workload and improves reliability.
Looking ahead to 2019, the article forecasts that Kubernetes will mature and accelerate adoption, service meshes like Istio and Envoy will dominate multicloud networking, containerized micro‑service marketplaces will expand, SaaS providers will deepen enterprise app portfolios, and hybrid‑cloud and edge computing will grow, driven by cloud‑native architectures.
Since 2016 DiDi has evolved its machine‑learning platform from isolated, workshop‑style GPU servers to a cloud‑native, Kubernetes‑driven architecture that unifies resource management, introduces custom parameter‑server and serving frameworks, provides autotuning, external SaaS offerings such as Elastic Inference and JianShu, and aims for a 3.0 unified internal‑external AI marketplace.
This guide walks through the complete process of preparing a Windows Server 2016 host, enabling Hyper‑V and RRAS, installing Docker EE, configuring a transparent Docker network, and joining the node to a Kubernetes 1.9 (or 1.14) cluster, including all required commands and troubleshooting steps.
This article explains the internal architecture of Spark Operator, covering Kubernetes operator fundamentals, CRD definitions, code layout, job submission flow, state machine handling, monitoring integration, and troubleshooting techniques for reliable Spark workloads on Kubernetes.
This tutorial walks you through deploying an ELK stack and a sample web application on Kubernetes, exposing services via NodePort and ClusterIP, scaling the web pods, and using Kibana to visualize logs from multiple containers, all illustrated with YAML files and command‑line examples.
The article explains how Kubernetes has become the default platform for cloud‑native infrastructure, why Serverless and diverse application services are emerging as key trends, and how a clear definition of cloud‑native drives large‑scale technology upgrades in Chinese public‑cloud markets.
This article reviews the shortcomings of Kubernetes networking, explains the capabilities of OVS and OVN as unified solutions, maps OVN abstractions to Kubernetes concepts, and outlines future directions for enhancing cloud‑native network functionality, followed by an extensive Q&A session.
This article introduces Kubernetes from a beginner’s perspective, covering its historical background, core design principles, architecture components such as Master and Node, key concepts like declarative APIs, containers, Pods, Services, and demonstrates how to create clusters, deploy, scale, and update applications, while also highlighting its role in cloud‑native environments.
The article introduces Cable, a new virtual network architecture that unifies management of physical, virtual, and container networks across OpenStack and Kubernetes, detailing its design, key components such as a virtual data plane and self‑developed control plane, compatibility with existing OpenStack APIs, and future development plans.
This guide explains how Alibaba Cloud Container Service and Log Service integrate to provide a complete Ingress logging, analysis, and visualization solution that can be deployed with a single YAML file, covering architecture, data collection, dashboards, alerts, and custom queries.
The Kubernetes 1.14 release, announced on March 25, 2019, adds production‑grade Windows node support, dozens of stable and beta features, extensive kubectl improvements, and a roadmap toward a more extensible, secure, and cloud‑native platform.
This article summarizes Wang Xinchun's 2018 DAMS China Data Asset Management Summit talk, detailing the current state, core services, responsibilities, evolution, architecture, challenges, and future directions of a large‑scale real‑time data platform built on Storm, Spark, Flink, and Kubernetes, including a unified data management approach.
This article details Ctrip's large‑scale continuous delivery practice, describing their deployment pipeline, unified build platform, Jenkins integration, Kubernetes‑based elastic agents, monitoring, and the challenges and improvements they encountered while handling thousands of daily deployments across multiple environments.
This article explains the Kubernetes architecture, details each core component, demonstrates how a Deployment is created, and critically compares Kubernetes' two‑layer scheduling model with Mesos, evaluating resource utilization, scalability, flexibility, performance, and scheduling latency while discussing why cluster schedulers struggle with horizontal scaling.
This article explains how chaos engineering principles are applied to Ali Kubernetes by reviewing open‑source Kubernetes monkey tools, analyzing complex failure scenarios, and presenting a custom fault‑injection suite built on the internal MonkeyKing platform to enable flexible, scenario‑driven chaos experiments.
This article details how NetEase Games implemented non‑stop maintenance for large‑scale online titles by reusing resources with Docker virtualization, evaluating Calico and Flannel overlay networks, and building a custom SDN solution, ultimately improving operational efficiency and player experience.
This article chronicles a SaaS startup’s transition from a simple monolithic Java application to a fully containerized microservice architecture, detailing the motivations, design principles, CI/CD pipelines, Spring Cloud and Kubernetes integration, automated deployment, tracing, and operational monitoring practices adopted along the way.
This article presents Ctrip's experience in building and operating a private container cloud platform, detailing its architectural evolution, operational challenges, tooling, monitoring, capacity management, and future directions toward hybrid and cloud‑native environments.
This article explains the inner workings of the Kubernetes scheduler, covering its architecture, pod queue handling, filtering, prioritization, binding, preemption, and code-level details, while also discussing current limitations and future enhancements such as the V2 framework and gang scheduling extensions.
This article explains how to design and implement a Kubernetes extension that allows multiple AI workloads to share a single Nvidia GPU by defining new extended resources, using a scheduler extender and a device plugin, and provides deployment steps, demos, and open‑source references.
This article explains why Kubernetes should be seen as a next‑generation operating system, walks through a simple nginx deployment using declarative YAML, introduces the concepts of CRDs, custom controllers and Operators, and shows how to create and manage resources such as etcd clusters and virtual machines within Kubernetes.
This article shares practical Prometheus monitoring tips, covering accuracy trade‑offs, self‑monitoring setups, storage choices, high‑cardinality metric handling, rate() pitfalls, alert‑graph mismatches, Alertmanager timing issues, and the core purpose of observability for stable business delivery.
The article describes Ctrip's motivation, design choices, and implementation details for deploying a self‑managed Kubernetes cluster on AWS, covering network architecture with VPC and ENI, custom image distribution, logging and monitoring, data synchronization, and operational challenges such as ELB loopback and kubelet configuration.
This article explains the fundamentals of Kubernetes audit logs, their JSON format, recording stages and levels, and shows how to configure policies, analyze logs, and use Alibaba Cloud's integrated solution to create visual reports, custom alerts, and advanced queries for security monitoring.
This article explains how container technology, inspired by physical shipping containers, provides lightweight, standardized, and portable application packaging, details the underlying Linux namespace and cgroup mechanisms, compares containers with virtual machines, and introduces major orchestration platforms such as Kubernetes, Mesos, and Swarm along with their key features and challenges.
This article details Ctrip's journey of building and operating a massive container cloud platform, covering its architectural evolution, operational challenges, tooling, capacity management, and future directions, offering practical insights for large‑scale cloud‑native environments.
This article details 360 Search's journey of constructing a Kubernetes‑based private cloud, covering its evolution, network and storage designs, logging pipeline, the Wayne management platform, encountered pitfalls, and future open‑source plans, offering practical insights for similar deployments.
This tutorial walks you through preparing the environment, downloading required packages and images via domestic mirrors, configuring Docker and the network, installing Kubernetes 1.6 with kubeadm, and deploying Flannel and the Dashboard, all tailored for Chinese cloud providers.
Chinese cloud‑native pioneer Li Xiang, the first Chinese member of the CNCF Technical Oversight Committee, discusses his open‑source contributions, Alibaba’s large‑scale cluster management, the evolution of cloud‑native technologies, and offers advice for young engineers on mastering code, design, and emerging trends.
This article explains the key differences between Linux containers and virtual machines, covering their design goals, resource usage, use‑case scenarios, security considerations, and how to choose the appropriate technology based on workload requirements and ecosystem support.
Meitu’s container platform, built on Kubernetes with Calico networking, a custom Nginx load‑balancer, unified logging, refined scheduling, autoscaling, and comprehensive monitoring, enables seamless multi‑cluster hybrid‑cloud operations for its hundreds‑of‑millions‑user services while providing CI/CD tooling and future‑ready extensions such as service mesh and edge computing.
The article outlines three learner personas—pure developers, server‑side engineers or ops, and beginners—and explains how each should focus on Kubernetes API details, architecture, and underlying system concepts to effectively master cloud‑native container technology.
The article summarizes the evolution and redesign of Zhihu's search engine, details 58 Group's high‑performance uesearch architecture, real‑time indexing mechanisms, cloud‑native deployment with Kubernetes, and highlights key technical insights and future directions for large‑scale search systems.
This article explains Alibaba's approach to migrating stateful containers at massive scale, covering the challenges of pod identity, resource duplication, hot versus cold migration, limitations of RunC and CRIU, and the opportunities presented by new container runtimes and process‑level virtualization.
This article provides a clear, beginner-friendly overview of cloud computing, explaining core terms such as IaaS, PaaS, SaaS, virtualization, hypervisors, OpenStack, containers, Docker, and Kubernetes, and illustrating how these technologies interrelate to form modern cloud infrastructure.
The article presents a detailed technical analysis of JD's Archimedes project, describing its evolution from JDOS 2.0 to a large‑scale container scheduling platform that dramatically improves resource utilization, deployment speed, and cost efficiency across JD’s data centers.
The article explains how modern DevOps, revitalized by cloud computing, is embodied in Tencent Hub—a cloud‑native platform that combines container‑based artifact storage and a reusable, Kubernetes‑driven workflow engine with DAG‑modeled pipelines, enabling scalable, secure CI/CD for enterprises and public‑cloud users.
