Istio, an open-source service mesh created by IBM, Google, and Lyft, offers a uniform platform for integrating microservices, managing traffic, enforcing policies, and collecting telemetry, with a control plane that abstracts underlying cluster platforms like Kubernetes, illustrated through developer presentations and slide decks.
This article compares Linux containers and virtual machines, explaining their differing purposes, resource usage, security implications, typical use cases, and how to choose the right technology based on workload requirements and tool ecosystems such as Docker, Kubernetes, VirtualBox, and VMware.
In this interview, JD.com’s infrastructure director Bao Yongcheng discusses his work on large‑scale container platforms, kernel‑level scheduling improvements, power‑saving experiments, and the future of cloud‑native data centers, highlighting practical lessons from the 11.11 shopping festival preparation.
Tencent Cloud Container Service has joined the inaugural CNCF Certified Kubernetes Conformance Program, confirming its Kubernetes platform meets the foundation’s consistency, portability and reliability standards, and giving enterprises such as Wall Street Snippets and Xiaohongshu confidence that workloads will run seamlessly across any certified Kubernetes environment.
This article explains how Cloud TiDB leverages Kubernetes and tidb‑operator to achieve automated operation management, dynamic scaling, resource isolation, and high availability for a cloud‑native distributed database.
This article explains how Cloud TiDB, a cloud‑native NewSQL database launched by UCloud and PingCAP, leverages Kubernetes integration, operators, and custom volume management to provide elastic scaling, high availability, and efficient lifecycle management for distributed workloads.
Rancher is an open‑source software platform that simplifies running and managing Docker and Kubernetes by providing integrated infrastructure services such as networking, storage, load balancing, DNS, security, multi‑cloud deployment, container orchestration, an application catalog, and enterprise‑grade access control.
The article explains how to combine Distributed TensorFlow with Kubernetes—using GlusterFS storage, Deployments for parameter servers, Jobs for workers, service discovery, monitoring, and a Jinja2‑generated YAML template—to create isolated, scalable training clusters with Jupyter and TensorBoard access.
This article compiles a curated collection of high‑quality resources—including introductory explanations, in‑depth tutorials, Chinese translations, and tool overviews for Istio, Linkerd, and Envoy—to guide readers from basic concepts to advanced practices in service mesh and cloud‑native microservice architectures.
At the 2017 Hangzhou Cloud Expo, Alibaba announced the open‑source release of its internally‑developed container runtime Pouch, detailing its seven‑year evolution, unique security and scalability features, collaborations with Zhejiang University, and the company’s strategy to foster an ecosystem‑driven, standards‑focused container technology future.
This article analyzes the technical and organizational factors that determine when Docker containers are appropriate versus virtual machines, covering scenarios from small startups to large enterprises, and presents ten deployment modes ranging from public‑cloud VMs to advanced Kubernetes and hybrid solutions.
This article explains Kubernetes Service types, introduces Ingress and the Traefik reverse‑proxy, and demonstrates a practical high‑availability setup that combines LVS with Traefik to expose services externally, including detailed deployment, Service, and Ingress configurations.
Since September 2016, JD’s AI foundation platform has leveraged Docker and Kubernetes to build a scalable machine‑learning infrastructure that now runs over 5,000 container instances, supports more than 20 AI services, and provides unified GPU, storage, networking, and multi‑tenant capabilities for both inference and training workloads.
This article explains how to deploy TensorFlow on Kubernetes, addressing resource isolation, GPU scheduling, and distributed training challenges by introducing a custom TensorFlow‑on‑K8s system with client, task, and autospec modules, plus container design for reliable job execution.
The article offers a clear, beginner‑friendly overview of Kubernetes architecture—including master‑slave roles, key components like etcd and kube‑apiserver, the registration‑watch workflow, and custom controllers such as lb‑controller and log‑controller—while inviting readers to share feedback and explore deeper implementation details.
This article details JD's AI platform built on Docker and Kubernetes, covering its high‑availability architecture, network plugin choices, storage solutions like GlusterFS and SeaweedFS, GPU management, CI/CD pipelines, logging, monitoring, and native Spark on Kubernetes, illustrating how a cloud‑native stack supports large‑scale AI services.
The article explains how Baidu Waimai’s CMDB adopts Kubernetes APIServer as a core component to model machine resources as objects, manage their five‑stage lifecycle, and leverage the Watch mechanism for efficient, consistent operations such as hostname changes and fault handling.
This article details Meizu’s private cloud platform built on Kubernetes, covering cluster architecture, single-image deployment, master and minion configurations, Calico networking, 4/7‑layer load balancing, monitoring with Prometheus, logging pipelines, automated deployment, multi‑datacenter strategies, and performance optimizations for a robust, low‑cost infrastructure.
This article examines the daunting performance‑optimization challenges of a complex PaaS architecture, breaks the system into control, data, and monitoring subsystems, defines concrete metrics, demonstrates testing with Prometheus and other tools, and shares practical automation techniques to accelerate iterative improvements.
This article explains how to replace traditional, error‑prone release cycles with a Docker‑based Jenkins pipeline that automates building, testing, image creation, and deployment to Docker, Kubernetes or remote hosts, while sharing practical tips, sample Groovy code, and common Q&A for DevOps teams.
The talk outlines how Docker and Kubernetes were adopted to streamline test environment provisioning, address challenges like environment inconsistency and resource scarcity, and enable automated, standardized, and scalable testing infrastructure through containerization, networking, storage, and cluster management techniques.
This article outlines how to transform cloud computing from a barrier into a foundation for business success by defining Cloud‑Native principles, recommending public‑cloud adoption, project engineering practices, service‑oriented thinking, micro‑service implementation with Kubernetes, and DevOps integration, providing concrete guidance and trade‑offs for each step.
The article explains how Pivotal and Google’s Kubo project combines BOSH with Kubernetes to deliver a unified, enterprise‑grade PaaS platform, detailing its features, the motivations behind improving Kubernetes for large‑scale customers, and Google’s broader cloud ambitions.
The article details Vipshop's two‑year PaaS implementation on Kubernetes, covering the CI/CD pipeline, custom networking, Docker registry enhancements, logging and monitoring solutions, as well as the operational challenges and fixes encountered during the migration.
This article details how Tencent Games built, customized, and continuously optimized a Kubernetes‑based container platform over three years to support tens of thousands of game containers, covering deployment modes, scheduler enhancements, network solutions, resource quotas, monitoring, storage, and the transition to micro‑service architectures.
This article introduces five highly rated Python libraries—PyWren, Tfdeploy, Luigi, Kubelib, and PyTorch—that streamline data handling, cloud execution, workflow orchestration, and GPU acceleration, helping machine‑learning engineers boost productivity and tackle complex projects more efficiently.
Since the end of 2016, JD has been transitioning its infrastructure from OpenStack to Kubernetes, completing 20% of the migration and aiming for full conversion by Q2, and shares detailed experiences, architectural evolution, operational practices, and future directions for large‑scale container platforms.
This article explains the evolution of cloud computing, the birth and principles of containers, their lightweight image‑based packaging, major orchestration platforms such as Kubernetes, Mesos and Swarm, and provides a step‑by‑step Docker tutorial for deploying a Java web application with load balancing.
The 2016 Ctrip Cloud Walk conference showcased a series of technical talks on cloud computing, container technologies, Kubernetes, Mesos, Docker, and blockchain, sharing real‑world implementations and challenges from industry leaders such as Qiniu, Ele.me, BiliBili, Dianrong, Alibaba Cloud, and Ctrip Cloud.
This article chronicles JD.com's journey from early OpenStack experiments in 2013 to the development, large‑scale deployment, and evolution of its first‑generation container engine (JDOS), highlighting architectural choices, performance challenges, operational practices, and the open‑source projects that emerged from the experience.
This article shares the engineering team’s experience of building a high‑growth, reliable backend for English Fluently, covering inter‑service communication with gRPC, service discovery, Docker‑based deployment, health‑checking, monitoring, autoscaling, Kubernetes orchestration, and multi‑cell availability strategies.
This article explains how Docker containers are managed within Kubernetes clusters using the Flannel component, detailing its interaction with etcd to allocate unique subnet ranges for each minion node, configuring flanneld, and troubleshooting common networking issues.
This article presents a comprehensive case study of the EMC containerized delivery platform, detailing how Docker, Kubernetes, and automated image building are leveraged to achieve continuous delivery for a large‑scale microservices project, and discusses the system’s architecture, image standardization, environment governance, and future enhancements.
The article examines how CaaS providers are replacing Docker with RunC‑based solutions such as CRI‑O, Unified Containerizer, and Garden, outlines the evolution of the container ecosystem, discusses the strategic implications for production environments, and forecasts future trends and community contributions.
This article explains how to design and implement a reliable etcd disaster‑recovery system for a Kubernetes‑based platform, covering backup scheduling, data synchronization across sites, code structure, and the advantages and drawbacks of the approach.
This article explains how Portworx implements container-defined storage with a distributed metadata‑driven block layer, detailing its architecture, control‑plane and data‑plane operations, lifecycle management, integration with orchestration tools, and real‑world scenarios such as big‑data, CMS, and database workloads.
This article explains how microservices adopt decentralized governance, outlines service registration and discovery mechanisms, details Docker and Kubernetes deployment strategies, describes security using OAuth2/OpenID, discusses transaction handling and fault‑tolerance patterns such as circuit breaking and timeouts, providing practical guidance for building robust cloud‑native systems.
This article examines resource allocation philosophies—auction, budgeting, and preemption—and compares the architectures, data models, and APIs of major schedulers such as Borg, Omega, Mesos, Kubernetes, and Alibaba’s Zeus, while also exploring sharing strategies, task classifications, utilization metrics, and predictive techniques for efficient resource management.
This article explains why monitoring is essential for system reliability, outlines the key components of a comprehensive monitoring framework, compares data collection methods, and presents practical container monitoring solutions—from Docker stats to cAdvisor with InfluxDB and Grafana, as well as Kubernetes and Mesos integrations.
The Hangzhou HDG salon showcased Huawei’s CloudOpera IES, PaaS platform and Fusion Video advances, with experts detailing open APIs, remote labs, Kubernetes‑based container management, multi‑screen architecture, and community‑driven developer support, highlighting practical benefits for telecom and cloud developers.
This article shares the author’s multi‑year experience in cloud computing, covering the evolution of cloud platforms, the relationship between microservices and DevOps, the design of a Kubernetes‑based DevOps platform, and practical lessons for enterprise‑level adoption.
The HDG Hangzhou event showcased Huawei’s CloudOpera IES architecture, north‑ and south‑bound open capabilities, hands‑on remote labs, plus deep dives into Huawei CCE hybrid‑cloud containers, Kubernetes design, and video UI integration, all wrapped in live streaming, audience interaction, and community networking.
The article explains Jenkins' single‑node and master‑slave deployment models, outlines the scalability and resource challenges of traditional setups, and proposes replacing test machines with Docker containers managed by Kubernetes or Swarm to improve efficiency, maintainability, and resource utilization.
This guide walks through constructing a Kubernetes master high‑availability environment on a private‑cloud Ubuntu 14.04 platform, covering full component containerization, external load‑balancer setup with HAProxy and Keepalived, static pod configuration, privileged mode requirements, flannel networking, common pitfalls, and future HA master developments.
This article compares the resource allocation philosophies, architectural designs, data handling, and API models of Borg, Omega, Mesos, Kubernetes, and Alibaba's Zeus, discussing auction, budgeting, preemption, sharing models, task types, utilization, prediction, and practical implementation details for large‑scale cloud native environments.
The article outlines how a startup with limited physical servers can build a cost‑effective, highly available IAAS using OpenStack, extend it with a CAAS layer based on Kubernetes, and then design a microservice architecture with command‑event separation, network and storage virtualization, and governance mechanisms to support rapid business growth.
This article explains the fundamentals of microservices architecture, contrasting it with monolithic and SOA approaches, and details design principles, messaging patterns, integration styles, data decentralization, governance, service discovery, deployment with Docker and Kubernetes, security, transaction handling, and fault‑tolerance techniques.
The article explores the multiple demands on internet systems, explains why business service granularity is the biggest obstacle to microservice adoption, and shares practical insights on designing a cloud‑native platform with Docker, Kubernetes, unified monitoring, API governance, and multi‑tenant resource isolation.
This tutorial walks through building a complete Kubernetes cluster on RedHat 7 using yum‑based packages, covering etcd installation, master and minion setup, container‑to‑container networking with quagga, and optional kube‑ui deployment, while highlighting common pitfalls and providing reference resources.
The article reviews the challenges Docker introduces to traditional virtualization networks, explains the concepts of SDN, compares three open‑source container SDN solutions (Flannel, Calico, Weave), and details Qiniu's practical implementation of overlay networking, OpenFlow control, service discovery, load balancing, and security groups for microservice architectures.
A Linux kernel bug caused virtual Ethernet (veth) devices in container environments to ignore TCP checksum validation, leading to corrupted data reaching applications, and the article explains the incident, investigation, reproducible tests, root cause in the veth driver, and the patch that resolves the issue.
InfoWorld’s 2016 Technology of the Year Awards spotlight Docker’s dominance, listing top container‑related projects such as Docker, Kubernetes, CoreOS, Mesos and others, while also covering a broad range of languages, tools, cloud services and big‑data platforms that shaped the tech landscape.
In a 2016 TechTarget interview, Joyent CTO Bryan Cantrill explains Joyent’s early adoption of OS‑level containers, the launch of its native container platform Triton, the current state of container technology, the need for better micro‑service migration strategies, and his outlook on the evolving cloud‑native ecosystem.
This article details a year‑long journey of designing, deploying, and operating container‑based development environments using Docker, Apache Mesos, and Kubernetes, covering the challenges of version consistency, rapid environment switching, resource isolation, and the practical solutions and lessons gathered from real‑world production use.
The talk explains how Docker’s container‑based development model transforms traditional development‑operations workflows, addressing issues such as opaque release pipelines, poor deployability, and monolithic architectures, and shows how Docker combined with CI/CD, microservices, and Kubernetes can streamline testing, accelerate delivery, and reduce operational complexity in enterprise environments.
The article summarizes a technical talk on microservices and container cloud platforms, explaining microservice fundamentals, DevOps benefits, practical design patterns like Ambassador, Sidecar, and Adapter, and how Kubernetes’ architecture supports these patterns for scalable, resilient applications.
This article introduces Kubernetes, explains why it is used, outlines its core goals, describes the main components and their functions, discusses the architectural improvements it enables, and shares practical deployment experiences and common issues encountered during real‑world usage.
This article walks through installing and configuring a Kubernetes 0.6.2 cluster on CentOS 7, covering core concepts, environment setup, master and minion configuration, deployment of pods, services, replication controllers, and practical testing of load balancing and scaling.
Docker is an open‑source platform that packages applications into lightweight Linux containers, offering faster startup, isolated environments, and simple image management via Docker Hub, while providing core components like daemon, client, and networking modes, and spawning an ecosystem of tools such as CoreOS, Kubernetes, Deis, and Flynn for scalable deployment.
