This article explains why Weave's FastDb mode can cause network interruptions on CentOS 7 VMs, analyzes the underlying kernel bugs and UDP PMTU probing issues, and provides practical solutions such as kernel upgrades, disabling UFO, and adjusting MTU settings.
This article describes how the OPS team designed and implemented a private‑cloud Elasticsearch service using Mesos for resource management, Docker containers orchestrated by Marathon, and a suite of monitoring, self‑service configuration, and continuous deployment tools to improve resource utilization and operational efficiency.
This guide walks you through building custom MySQL Docker images, configuring master and slave my.cnf files, launching the containers, creating a replication user, and synchronizing the slave using Docker commands and a ready‑made shell script, all with detailed code examples.
The article explains how to build a browser‑based container web console with GoTTY by wrapping docker exec in a WebSocket‑driven backend, detailing static asset handling, dual‑goroutine I/O, deployment options for distributed or centralized agents, security logging, and automatic cleanup of orphaned shell processes.
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 how Linux containers, especially Docker, complement microservices by providing lightweight, portable, and easily managed runtime environments, and discusses key concepts such as logging and monitoring, zero‑downtime continuous delivery, and dynamic service registries for scalable cloud‑native applications.
This article records Xu Lei's online DevOps talk, outlining his ten‑year journey, emphasizing the importance of managing granularity and engineering decoupling, and providing practical strategies, agile insights, continuous delivery frameworks, Docker benefits, and a Q&A to help teams improve software delivery efficiency.
This article explains how Tencent CDN tackles ever‑growing Tb‑scale traffic spikes by virtualizing resources into a shared Docker‑based burst pool, detailing the challenges, architectural solutions, technical optimizations, and the resulting cost savings and rapid scaling capabilities.
This article explains how a small cloud‑service startup adopted Docker and a custom operations platform to solve environment inconsistencies, simplify multi‑project deployments, accelerate provisioning, and achieve cross‑platform, container‑based management of its applications.
Learn how the HULK private‑cloud platform automates Docker image building and management by integrating Jenkins pipelines, UI‑driven configuration, GitLab storage, and automated build‑push processes, dramatically reducing manual CLI steps and lowering the entry barrier for container deployment.
This guide explains how to enable Windows Server 2016 containers, install Docker and Docker‑Compose via PowerShell, create custom Docker images, export and import them, and configure a remote Docker daemon to run containers and compose files from another machine.
This article details Tongcheng Travel's extensive experience of running over a thousand MySQL instances in Docker, describing the motivations, architecture, resource scheduling, backup, monitoring, high‑availability, migration, and operational benefits of their private cloud database platform.
This article walks you through the fundamentals of continuous integration, introduces Jenkins and Docker, explains key Jenkins concepts, and provides step‑by‑step commands to deploy Jenkins in Docker, configure master‑slave nodes, install essential Docker plugins, and use the Jenkins Remote API for automation.
This article chronicles a small team’s evolution from single‑repo manual deployments through service splitting, messaging middleware, SDK‑based calls, service discovery, Docker automation, and log handling, highlighting practical lessons and trade‑offs at each stage.
This guide walks you through installing Ubuntu, Docker, and the Percona Monitoring and Management (PMM) server, configuring a PMM client, and connecting it to MySQL to enable real‑time performance metrics and slow‑query analysis.
This article details the evolution of Tongcheng Travel’s PaaS platform, describing its shift from Docker Swarm host networking to a custom container network using Calico and Contiv, the implementation of public‑IP allocation, and the monitoring solution built with OVS sFlow, Redis and ELK.
This article examines the unique challenges of monitoring containers, outlines three categories of metrics to collect, compares host‑centric and layered monitoring architectures, provides detailed methods for gathering CPU, memory, I/O and network data via cgroup files and Docker commands, and shares practical insights, tooling recommendations, and a Q&A session for effective container observability.
This article explains how Redis-ML enables real‑time machine learning by extending Redis with modules, covering its architecture, random‑forest inference, performance benchmarks against Spark, and a complete movie‑recommendation use case with Docker, Scala, and Python examples.
The article explains how Docker, as a lightweight container engine, can address common testing environment problems such as data and environment isolation, bug reproducibility, and resource overhead by enabling easy image building, data separation, scalable services, and streamlined CI/CD workflows.
This article details how REA Group implements a comprehensive DevOps workflow for its micro‑service architecture on AWS, covering the 12‑Factor principles, toolchain components, automated deployment with rea‑shipper, monitoring, alerting, and the collaborative processes that enable continuous delivery at scale.
The article recounts a half‑year investigation of a high‑performance proxy cluster whose Docker hosts repeatedly crashed due to kernel null‑pointer dereferences, detailing log analysis, three faulty hypotheses, extensive web research, kernel and Docker upgrades, and the final operational lessons learned.
This article introduces Jumpserver, an open‑source bastion host built with Python and Django, and details its major new version updates—including a full code refactor, component separation, Docker support, internationalization, RESTful APIs, and enhanced UI—highlighting how these changes improve security, extensibility, and deployment flexibility for enterprises.
This guide explains how to resolve database schema differences by creating a Docker image that packages mysqldiff on CentOS, detailing installation, image creation via both docker commit and Dockerfile, and publishing the image to Docker Hub for easy reuse.
The HULK Container Platform scheduling system, built for Meituan‑Dianping, combines a hybrid, actor‑based scheduler with filter‑and‑rank logic, configurable trade‑offs, and dynamic over‑commit to balance resource utilization, high availability, and massive concurrent placement decisions for thousands of containerized services.
This article outlines the rationale for adopting Node.js in the 京友邦 project, compares two deployment architectures—separate Node and Tomcat services versus co‑locating them in a single Docker container—and provides detailed step‑by‑step instructions for packaging, scripting, Nginx configuration, and monitoring to achieve a successful rollout.
Docker renamed its original open‑source project to Moby, shifting the Docker brand to its commercial CE and EE products, which sparked community backlash over perceived rebranding, loss of the Docker open‑source identity, and raised questions about open‑source monetization and corporate strategy.
The article analyzes Docker’s controversial rename of its core project to Moby, the community backlash it sparked, the strategic motives behind the move, and how related initiatives like LinuxKit fit into the evolving cloud‑native container ecosystem.
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 article analyzes current DevOps trends, highlighting the continued focus on microservices, the maturation of Docker‑centric data‑center solutions, the challenges of incomplete DevOps adoption, emerging domain‑specific practices, technical debt restructuring, security integration, the untapped potential of Windows/.NET, the rise of non‑functional testing tools, and Python’s growing indispensability.
The article explores how DockerCon introduced LinuxKit and NanoServer as lightweight, YAML‑driven tools for assembling minimal, fast‑booting operating system images, discussing their relevance to cloud‑native efficiency, DevOps principles, and the shift from multipurpose host OSes to single‑purpose cloud OSes.
An in‑depth look at Docker’s transformation into the Moby project reveals how the company repackaged its flagship container platform, the community’s backlash over the split, the strategic motives behind the move, and what it means for the future of container‑based cloud native development.
This article explains how to analyze and visualize Docker container logs using the ELK stack, covering preparation, parsing tips, Kibana query techniques, and example visualizations to help monitor Dockerized environments effectively in production.
This article explains the differences between monolithic and microservice architectures, introduces Docker as a key tool for microservices, and details how a Container‑as‑a‑Service (CaaS) platform can provide service discovery, routing, logging, monitoring, auto‑scaling, SLA enforcement, and deployment strategies to simplify development and operations.
The article explains how Docker rebranded its original open‑source project as Moby to shift the community’s search footprint and fan base toward its commercial Docker EE and Docker CE products, detailing the resulting developer backlash and the company’s profit‑driven motives.
This article explains the challenges of Docker log collection and provides a step‑by‑step guide for installing ELK components, configuring Logstash, Kibana, and various log shippers such as Filebeat, logging drivers, Logspout, and Logz.io to reliably gather and visualize container logs.
This article explains how applying release‑acceleration techniques such as multi‑version deployment and pre‑deployment to Dockerized applications dramatically reduces test‑environment rollout time, eliminates service interruption, and improves developer efficiency.
This article examines how Agile, DevOps, microservices, and Docker have risen together in recent years, analyzing Google Trends data to illustrate their intertwined growth and explaining why Docker is seen as essential for rapid software delivery within modern DevOps and microservice ecosystems.
This article describes how a team migrated Spark 1.6.x running on Mesos to a Marathon‑Docker based architecture that provides dynamic executor scaling, resolves configuration and resource‑allocation issues, and improves monitoring, fault‑tolerance, and upgrade processes for large‑scale streaming workloads.
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 walks through building a Mezzanine CMS blog, first manually on macOS, then automating the deployment with Ansible, refactoring using roles, and finally containerizing the setup with Docker, providing detailed commands, configuration files, and best‑practice tips for production environments.
This article explains how continuous integration, continuous delivery, continuous deployment, microservices and container technologies interrelate to enable faster, more reliable software delivery, describing CI/CD pipelines, the role of feature toggles, and the benefits of immutable containers in modern DevOps practices.
This article explains how containers use storage plugins like Docker volume drivers and Convoy to integrate persistent storage, describes the plugin API, daemon architecture, backend driver abstractions, and discusses the trade‑offs of different storage types for cloud‑native applications.
This guide explains how to set up the ELK (Elasticsearch, Logstash, Kibana) logging platform using Docker Compose, covering prerequisites, environment configuration, single‑host and multi‑host deployments, and verification steps to get a functional ELK stack in minutes.
This tutorial demonstrates step‑by‑step techniques—using ADD, combining commands in a single layer, and leveraging .dockerignore—to dramatically reduce the size of a Java Docker image from 743 MB down to 536 MB while keeping functionality intact.
This article details Ctrip's journey in building a private container cloud to support rapid business growth, covering elasticity challenges, container deployment principles, orchestration platform choices, network design, operational issues, custom executors, monitoring solutions, and the overarching CDOS system.
ctop provides a real-time, top‑like view of Docker containers, showing CPU, memory, network and I/O metrics; this guide explains its purpose, Linux installation steps, key keyboard shortcuts for filtering, sorting, help, and how to quickly assess container resource usage.
This article recounts JD.com's journey of Dockerizing MySQL, covering the evolution of its container platform, reasons for container adoption, preparation steps, encountered challenges with large‑scale clusters, and the solutions that enabled over 70% of its MySQL instances to run reliably in Docker containers.
This tutorial walks through updating CentOS 7, adding the Docker repository, installing and testing Docker Engine, creating a Dockerfile for a .NET Core and Angular2 project, building and running the container, configuring Nginx as a reverse proxy, and verifying the deployment in a browser.
This article describes how Qunar’s Prism platform combines ELK, Kafka, Spark, Docker and other open‑source tools to create a real‑time data pipeline that speeds up problem localization, reduces deployment time, and improves resource utilization across development and operations teams.
This guide walks through installing a private GitLab server using Docker, covering image retrieval, container launch with port and volume mappings, external URL configuration, initial setup, project creation, and client-side testing with Git commands to verify the deployment.
Analyzing reading statistics of 23 original articles published before the 2017 Chinese New Year, this report reveals that SQL on Hadoop, Lambda architecture, and Docker+Jenkins were the three hottest big‑data topics, while also discussing the rise of Kappa, SQL optimization importance, and ongoing innovation in the field.
This article walks through building a RESTful API using the Perfect framework in Swift, covering framework comparison, environment setup with Docker, project initialization, routing, database integration via MySQL‑Swift, error handling, logging, deployment, and lessons learned from server‑side Swift development.
This tutorial demonstrates how to containerize a legacy ASP.NET MVC 2 web application with a SQL Server database by running a Windows Container, configuring volume mappings, updating connection strings, creating a Dockerfile, building an image, and deploying the service.
This article provides an extensive overview of Docker, covering its open‑source origins, client‑server architecture, container isolation, image management, orchestration tools such as Compose, Swarm and Machine, networking solutions, storage strategies, integration with PaaS/IaaS platforms, Kubernetes, OpenStack, DevOps practices, micro‑service architecture, and the broader Docker ecosystem.
This article debunks the ten most frequent Docker misconceptions—ranging from platform limitations and development workflow constraints to debugging and database usage—by explaining why they are inaccurate and providing practical solutions such as using custom Dockerfiles, volume mounts, remote debugging, and proper container management commands.
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 article explains Windows Server 2016 native container support, the two container runtimes (Windows Server Container and Hyper‑V Container), available Windows container images, how Docker Swarm can orchestrate mixed Windows and Linux nodes, and licensing considerations for production use.
This article explains how Docker can address common front‑end development environment challenges—such as dependency complexity, version inconsistencies, and re‑deployment overhead—by providing lightweight, reproducible containers, and introduces the Dokit tool for rapid setup.
Meituan‑Dianping’s Docker Container Platform, built on a four‑layer architecture that integrates API orchestration, host‑side management, a hybrid image registry, OVS‑DPDK networking, LVM‑backed storage, and low‑overhead monitoring, enables seconds‑level scaling, live resource adjustments, and major cost savings across dozens of business units by combining containers with traditional VMs.
This article explains how to set up a Docker‑based development and debugging environment for .NET Core applications using Visual Studio, covering installation of Docker for Windows, required extensions, Dockerfile and docker‑compose configuration, and step‑by‑step container debugging on Azure.
This tutorial explains how to install Docker and MyEclipse, create a Dockerfile for a Tomcat 7 image, build and run the container, deploy a Spring Shopping Cart example inside it, and use MyEclipse features to manage and test the Dockerized web application.
This article details how a bank’s data‑center team modernizes traditional operations by integrating Docker containers, a customized CMDB, continuous‑integration pipelines, automated scaling, logging, and monitoring, while addressing challenges such as image differentiation, gray‑release, and resource elasticity.
The article explains Docker’s rapid rise, clarifies the difference between Docker and containers, compares containers with virtual machines, and describes how Docker streamlines application deployment by packaging code and its dependencies into portable containers within the cloud‑native ecosystem.
This article describes how to build an automated documentation publishing pipeline using VSTS CI, Azure FTP deployment, Sphinx conversion, Docker containers, and GitHub synchronization, enabling one‑click HTML generation and backup for Markdown/reStructuredText sources.
This article explains the fundamentals of container technology, compares containers with virtual machines, and provides a step‑by‑step tutorial for constructing a minimal Linux container using busybox or debootstrap, configuring namespaces, cgroups, networking, and launching processes via Go’s exec.Cmd, with full code examples.
This article details Alibaba's large‑scale migration of core transaction services from traditional VM and proprietary T4 containers to a unified Docker‑based platform called AliDocker, covering integration challenges, image‑based deployment, Swarm customizations, and middleware Dockerization that enabled seamless double‑11 operations.
The article explains the Third Way of DevOps—continuous learning through Kaizen and the PDSA cycle—showing how Docker serves as laboratory equipment that enables rapid, reproducible experiments, illustrated with examples from a financial institution and a personal baseball‑statistics project.
This article outlines the most important Node.js best practices for 2017, including adopting ES2015, using Promises, following coding standards, deploying with Docker, monitoring with Prometheus or Trace, enhancing security with checklists, learning micro‑services, attending conferences, semantic versioning, and using LTS releases.
This article explains the DevOps “Second Way,” emphasizing faster, bidirectional feedback loops, and shows how Docker’s immutable containers, streamlined packaging, and embedded metadata reduce variation, accelerate defect detection, and shorten lead times in service delivery.
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 supports the First Way of DevOps—Systems Thinking—by increasing pipeline velocity, reducing variation, and improving visualization, thereby enabling faster, more reliable software delivery through global optimization of the value stream.
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 explains the principles of DevOps, its technical, process, and organizational considerations, and introduces Docker as a key tool, detailing its architecture, components, native utilities, suitable scenarios, and how it enables continuous integration, delivery, and efficient operations.
The article analyzes how the rapid adoption of microservices and container virtualization, especially Docker, boosts software agility and adaptability, while highlighting the critical role of stateful services, the challenges of storage in containers, and the concrete benefits of running both stateless and stateful components within containers.
This article compares traditional hypervisor‑based virtualization with Docker container technology, detailing how containers use shared kernels, namespaces, cgroups, AUFS, and device mapper to achieve lightweight isolation and higher resource efficiency.
This article walks through installing a Mesos‑based distributed scheduling platform on macOS using Docker containers, covering custom image creation, registry configuration, Docker‑VM quirks, environment‑variable setup for Zookeeper, Mesos master and slaves, Marathon deployment, and practical tips for accessing containers via socat, Portainer, chroot, and nsenter.
This article explains how to use Microsoft Azure and Team Foundation Server to create a container‑based continuous delivery pipeline, covering DevOps culture, the benefits of containers, and three practical scenarios demonstrated in a recorded video.
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.
This article explains the fundamental ideas behind microservices, compares them with traditional SOA, discusses when to adopt microservices, outlines design principles, explores technology selections such as Spring Cloud and Docker, and addresses common challenges like service discovery, transaction handling, and operational costs.
This article describes how Qunar's operations team designed and implemented a cloud‑native Elasticsearch‑as‑a‑Service platform using Mesos, Marathon, and Docker, covering requirements analysis, technology selection, resource quota management, cluster isolation, service discovery, data reliability, monitoring, automated deployment, and future improvements.
Uber tackled the challenge of managing over 1,000 MySQL clusters by designing Schemadock, a Docker‑based solution that runs stateless MySQL containers, uses configuration‑driven topologies, and employs agents for automated deployment, monitoring, and centralized control, enabling multi‑database hosts, full automation, and unified management.
This guide walks you through installing Docker, configuring a Chinese accelerator, pulling the official Storm Docker image, and using Docker commands to launch both a local Storm instance and a minimal multi‑node cluster with Nimbus and Supervisor, all in under ten minutes.
In this talk, Bilibili’s operations manager shares the journey from early firefighting to a standardized, automated DevOps pipeline, covering ansible‑based configuration, high‑quality release processes, metric‑driven monitoring, and elastic Docker‑based scaling using Mesos, Marathon, Consul, and custom IPAM plugins.
This article explains how to develop, containerize, and run ASP.NET Core applications using Docker on both Linux and Windows containers, covering setup, Dockerfile creation, publishing, and deployment on Windows Nano Server and Server Core with practical code examples.
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.
The article examines how Docker‑based container technology can be standardized and applied in enterprises to improve resource utilization, streamline software delivery, and create competitive advantages, while also discussing ecosystem standards, selection criteria, and the broader impact on modern IT development.
This article curates five technical reads—covering network operations, Google’s production environment, massive cost‑saving strategies, IDC automation, and Docker‑based RDS—each presented as a “medicine” with a brief description and a link for deeper insight.
This guide walks through fundamental Docker commands for inspecting Docker versions, managing images, running and inspecting containers, committing changes, handling container lifecycle, saving/loading images, logging into registries, and publishing images to a registry.
This article explains how to use Microsoft Visual Studio Team Services/Team Foundation Server together with Docker to create a full‑stack, container‑based CI/CD pipeline for ASP.NET Core applications, covering environment setup, build agents, Docker host connections, and release strategies for test and production.
Learn how to quickly set up a multi‑node Hadoop cluster on a single machine using Docker containers, covering image preparation, SSH configuration, fixed IP assignment with pipework, and building custom Hadoop images, enabling a lightweight, cost‑effective big‑data environment for development and testing.
This article outlines eight crucial best‑practice recommendations—such as creating a non‑root user, enabling user namespace mapping, caching node_modules, properly launching the main process, tagging images, managing processes externally, using production‑grade base images, and synchronizing system time—to securely containerize Node.js applications with Docker.
While Docker revolutionizes application deployment with lightweight containers, it also suffers from significant limitations such as network configuration constraints, restricted library control, lack of clear audit trails, platform incompatibilities, limited isolation, and challenges in storage, logging, and resource management.
This article introduces Docker 1.12’s Swarm mode, detailing its new features such as service creation, health checks, scaling, scheduling constraints, load balancing, service discovery, and rolling updates, and provides step‑by‑step instructions for building a multi‑node Swarm cluster, deploying services, and handling node failures.
A 2016 RisingStack survey of 1,126 Node.js developers shows that MongoDB and Redis dominate databases, AWS is the primary hosting platform, Docker is widely adopted, Promises lead async handling, and debugging remains the biggest challenge, offering valuable insights for backend technology decisions.
This article examines the limitations of traditional database provisioning, explains why a platform‑based RDS solution is needed, and details LeTV's evolution of its cloud‑native RDS service—including Docker containerization, architecture upgrades, elastic scaling, monitoring, and lessons learned—providing a comprehensive guide for building efficient, automated database platforms.
At DockerCon 2016, Aaron Grattafiori outlined a comprehensive security framework for container‑based microservices, emphasizing user namespaces, custom AppArmor/SELinux policies, sec‑comp whitelists, hardened host OS, limited host access, network security, immutable containers, and secret management to achieve high‑assurance deployments.
To address limited iteration cycles and complex upgrade testing, the article presents a comprehensive automated testing framework for Transwarp Data Hub (TDH) that integrates Docker, Jenkins, Selenium, VNC Server, Guacamole, and Python, enabling reliable, repeatable upgrades, detailed reporting, and real‑time monitoring.
This tutorial shows how to create a three‑node MongoDB replica set using Docker, configure automatic primary election, verify data synchronization across secondaries, and simulate a primary failure to observe failover, providing a practical guide for high‑availability database deployments.
This article explains how a securities firm adopted Docker and cloud‑native practices to overcome scaling, upgrade, and reliability challenges, detailing its four‑layer platform architecture, massive container deployments, orchestration strategies, and immutable DevOps best practices for high‑frequency trading environments.
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.
