Octo talk : docker multi-host networking Hervé Leclerc
This document summarizes Docker networking and the Docker libnetwork plugin. It discusses:
- Docker libnetwork implements the Container Network Model (CNM) with components like networks, endpoints, and network sandboxes.
- Network drivers like the bridge and overlay drivers are used to connect containers to networks and implement container isolation. The bridge driver uses Linux bridges while the overlay driver uses VXLAN tunnels for multi-host networks.
- Networking demonstrations show how containers on different Docker hosts can communicate over an overlay network using VXLAN tunnels even when isolated in separate network namespaces.
Docker Network Overview and legacy "--link"Avash Mulmi
This document discusses Docker networking and the legacy "--link" option. It provides an overview of default Docker networks like bridge, none and host. It also describes how to create user-defined networks and connect containers to them. The document recommends using user-defined networks over the legacy "--link" option, which is being removed. It notes that Docker provides an embedded DNS server for containers connected to the same user-defined network to resolve each other by container name.
This document provides a summary of key concepts in Docker orchestration and networking:
- It describes the default Docker networks (bridge, none, host) and how to create custom networks for containers to communicate.
- Docker Compose is introduced as a tool to define and run multi-container applications using a compose file to configure services.
- Docker Swarm mode allows deploying containers across multiple Docker hosts as a cluster, with services that can be scaled out and updated on the swarm. Managers and workers are node types in a swarm.
- Key features for swarm deployments using Docker Compose files are discussed, including resources, update configurations, and restart policies.
This document introduces Docker Swarm for clustering Docker hosts into a single virtual host. It discusses using Swarm with Consul and an overlay network. Key points:
- Docker Swarm turns a pool of Docker hosts into a single virtual host with a standard API.
- Consul provides service discovery, key-value storage, and health checking.
- An overlay network allows containers on different hosts to communicate, with networking defined by Docker but implemented by the hosts' kernels.
The document discusses setting up a Docker Swarm cluster with 3 Raspberry Pi nodes and integrating Consul for service discovery. It begins with an introduction to Consul and its key features like service discovery, health checking, and key-value storage. It then describes deploying Consul and a Swarm master on one node, registering a sample web service, and verifying the cluster. Finally, it explores the Consul UI and adds a Docker UI for visualizing the cluster.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then provides step-by-step instructions for setting up a multi-node Docker swarm cluster on VirtualBox machines and deploying an application. The document also discusses the Moby Project for separating Docker's open source and commercial components, as well as other Docker tools for developers.
Octo talk : docker multi-host networking Hervé Leclerc
This document summarizes Docker networking and the Docker libnetwork plugin. It discusses:
- Docker libnetwork implements the Container Network Model (CNM) with components like networks, endpoints, and network sandboxes.
- Network drivers like the bridge and overlay drivers are used to connect containers to networks and implement container isolation. The bridge driver uses Linux bridges while the overlay driver uses VXLAN tunnels for multi-host networks.
- Networking demonstrations show how containers on different Docker hosts can communicate over an overlay network using VXLAN tunnels even when isolated in separate network namespaces.
Docker Network Overview and legacy "--link"Avash Mulmi
This document discusses Docker networking and the legacy "--link" option. It provides an overview of default Docker networks like bridge, none and host. It also describes how to create user-defined networks and connect containers to them. The document recommends using user-defined networks over the legacy "--link" option, which is being removed. It notes that Docker provides an embedded DNS server for containers connected to the same user-defined network to resolve each other by container name.
This document provides a summary of key concepts in Docker orchestration and networking:
- It describes the default Docker networks (bridge, none, host) and how to create custom networks for containers to communicate.
- Docker Compose is introduced as a tool to define and run multi-container applications using a compose file to configure services.
- Docker Swarm mode allows deploying containers across multiple Docker hosts as a cluster, with services that can be scaled out and updated on the swarm. Managers and workers are node types in a swarm.
- Key features for swarm deployments using Docker Compose files are discussed, including resources, update configurations, and restart policies.
This document introduces Docker Swarm for clustering Docker hosts into a single virtual host. It discusses using Swarm with Consul and an overlay network. Key points:
- Docker Swarm turns a pool of Docker hosts into a single virtual host with a standard API.
- Consul provides service discovery, key-value storage, and health checking.
- An overlay network allows containers on different hosts to communicate, with networking defined by Docker but implemented by the hosts' kernels.
The document discusses setting up a Docker Swarm cluster with 3 Raspberry Pi nodes and integrating Consul for service discovery. It begins with an introduction to Consul and its key features like service discovery, health checking, and key-value storage. It then describes deploying Consul and a Swarm master on one node, registering a sample web service, and verifying the cluster. Finally, it explores the Consul UI and adds a Docker UI for visualizing the cluster.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then provides step-by-step instructions for setting up a multi-node Docker swarm cluster on VirtualBox machines and deploying an application. The document also discusses the Moby Project for separating Docker's open source and commercial components, as well as other Docker tools for developers.
Docker Networking - Common Issues and Troubleshooting TechniquesSreenivas Makam
This document discusses Docker networking components and common issues. It covers Docker networking drivers like bridge, host, overlay, topics around Docker daemon access and configuration behind firewalls. It also discusses container networking best practices like using user-defined networks instead of links, connecting containers to multiple networks, and connecting managed services to unmanaged containers. The document is intended to help troubleshoot Docker networking issues.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
Docker Networking - Current Status and goals of Experimental NetworkingSreenivas Makam
This slidedeck covers overview of Docker Networking as of Docker 1.8, drawbacks of current Docker Networking and goals of Docker Experimental Networking.
This document discusses several network overlay options in Docker: Weave, Flannel, and Libnetwork. Weave creates a custom bridge and uses encapsulation to connect containers across hosts, but has low throughput due to packet processing in userspace. Flannel assigns each host a subnet and supports backends like VxLAN, with higher throughput than Weave by using the kernel driver. Libnetwork is integrated with Docker and supports custom drivers like Weave; it defines networks and services and allows containers to attach across hosts, with throughput close to Flannel due to using the VxLAN driver.
Intro- Docker Native for OSX and WindowsThomas Chacko
The document discusses Docker on various operating systems including Linux, Windows, and Mac OS X. It provides an overview of using Docker Toolbox versus installing Docker natively. When using Docker natively, it installs the Docker client, engine, compose and other tools directly onto the operating system leveraging native virtualization capabilities for improved performance compared to Docker Toolbox. However, the native versions are currently in beta with some limitations like only allowing one Linux virtual machine on Windows Hyper-V.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
This document provides an introduction to Docker Swarm, which allows multiple Docker hosts to be clustered together into a single virtual Docker host. It discusses key components of Docker Swarm including managers, nodes, services, discovery services, and scheduling. It also provides steps for creating a Swarm cluster, deploying services, and considering high availability and security aspects.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
Since its first 1.12 release on July 2016, Docker Swarm Mode has matured enough as a clustering and scheduling tool for IT administrators and developers who can easily establish and manage a cluster of Docker nodes as a single virtual system. Swarm mode integrates the orchestration capabilities of Docker Swarm into Docker Engine itself and help administrators and developers with the ability to add or subtract container iterations as computing demands change. With sophisticated but easy to implement features like built-in Service Discovery, Routing Mesh, Secrets, declarative service model, scaling of the services, desired state reconciliation, scheduling, filters, multi-host networking model, Load-Balancing, rolling updates etc. Docker 17.06 is all set for production-ready product today. Join me webinar organised by Docker Izmir, to get familiar with the current Swarm Mode capabilities & functionalities across the heterogeneous environments.
This document provides an overview of Docker security. It discusses how Docker isolates containers using kernel namespaces and cgroups to limit access to resources. It describes how Docker secures communication with its daemon and stores images cryptographically. It also explains how Linux capabilities and features like AppArmor and Seccomp can restrict container access further.
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how packets flow through systems using routing mesh and load balancing.
This document provides an agenda and overview of Docker Machine and Docker Swarm. It discusses how Docker Machine allows managing Docker hosts on various platforms and distributions. It then explains how Docker Swarm exposes multiple Docker engines as a single virtual engine with built-in service discovery and scheduling. The document demonstrates how to set up a Docker Swarm cluster using the hosted discovery service and covers Swarm scheduling strategies, constraints, and container affinities.
Docker Online Meetup #29: Docker Networking is Now GA Docker, Inc.
At DockerCon in June, we first announced experimental support for Docker Networking. As of the 1.9 release of Docker, we are excited to announce that Docker Networking is generally available to define how your Dockerized apps connect together.
Docker Networking is a feature of Docker Engine that allows you to create virtual networks and attach containers to them so you can create the network topology that is right for your application. The networked containers can even span multiple hosts, so you don’t have to worry about what host your container lands on. They can seamlessly communicate with each other wherever they are - thus enabling true distributed applications.
And Networking is pluggable, so you can use any third-party networking driver to power your networks without having to make any changes to your application.
Read more: http://blog.docker.com/2015/11/docker-multi-host-networking-ga/
The document discusses how to create Dockerfiles to containerize web applications. It provides instructions for creating Dockerfiles for both Node.js and Python web applications. For Node.js, it shows how to create a Dockerfile that copies local code and dependencies into an image based on an Alpine Node image and exposes port 8080. For Python, it demonstrates a Dockerfile that copies code and dependencies into an Alpine image, installs Python and pip, exposes port 5000, and runs a Flask app.
This document provides an overview and instructions for Docker installation, networking, volumes, and Dockerfiles. It discusses installing Docker on CentOS, the different network drivers including bridge, and how to create and manage user-defined bridges and volumes. It also explains the components and usage of Dockerfiles to build images, including base images, environment variables, copying files, setting entrypoints and commands. The document includes examples of building an image locally and pushing it to a Docker repository.
Swarm in a nutshell
• Exposes several Docker Engines as a single virtual Engine
• Serves the standard Docker API
• Extremely easy to get started
• Batteries included but swappable
Docker network Present in VietNam DockerDay 2015Van Phuc
The document discusses Docker networking. It begins with an introduction to Docker and why networking is important for communication between containers. It then covers the libnetwork project, Docker networking features in version 1.7 like the docker0 bridge and linking containers, and experimental features like multi-host networking and services. Drivers and plugins for providing networking are described. The document concludes with a call for users to try experimental Docker and contribute to networking projects.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Jak wykorzystać "kontenerowanie" aplikacji, tj. spakowanie zarówno kodu, jak i konfiguracji oraz wysłać to na serwer? Docker umożliwia zrobienie tego szybko i bez potrzeby wirtualizacji nowego środowiska w postaci systemu operacyjnego.
Docker Networking - Common Issues and Troubleshooting TechniquesSreenivas Makam
This document discusses Docker networking components and common issues. It covers Docker networking drivers like bridge, host, overlay, topics around Docker daemon access and configuration behind firewalls. It also discusses container networking best practices like using user-defined networks instead of links, connecting containers to multiple networks, and connecting managed services to unmanaged containers. The document is intended to help troubleshoot Docker networking issues.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
Docker Networking - Current Status and goals of Experimental NetworkingSreenivas Makam
This slidedeck covers overview of Docker Networking as of Docker 1.8, drawbacks of current Docker Networking and goals of Docker Experimental Networking.
This document discusses several network overlay options in Docker: Weave, Flannel, and Libnetwork. Weave creates a custom bridge and uses encapsulation to connect containers across hosts, but has low throughput due to packet processing in userspace. Flannel assigns each host a subnet and supports backends like VxLAN, with higher throughput than Weave by using the kernel driver. Libnetwork is integrated with Docker and supports custom drivers like Weave; it defines networks and services and allows containers to attach across hosts, with throughput close to Flannel due to using the VxLAN driver.
Intro- Docker Native for OSX and WindowsThomas Chacko
The document discusses Docker on various operating systems including Linux, Windows, and Mac OS X. It provides an overview of using Docker Toolbox versus installing Docker natively. When using Docker natively, it installs the Docker client, engine, compose and other tools directly onto the operating system leveraging native virtualization capabilities for improved performance compared to Docker Toolbox. However, the native versions are currently in beta with some limitations like only allowing one Linux virtual machine on Windows Hyper-V.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
In this talk, Michal Crosby will present on runC and Containerd, the internals and how they work together to start and manage containers in Docker. Afterwards, Arnaud Porterie will touch on about what was shipped in 1.11 and how it will enable some of the things we are working on for 1.12.
This document provides an introduction to Docker Swarm, which allows multiple Docker hosts to be clustered together into a single virtual Docker host. It discusses key components of Docker Swarm including managers, nodes, services, discovery services, and scheduling. It also provides steps for creating a Swarm cluster, deploying services, and considering high availability and security aspects.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
Since its first 1.12 release on July 2016, Docker Swarm Mode has matured enough as a clustering and scheduling tool for IT administrators and developers who can easily establish and manage a cluster of Docker nodes as a single virtual system. Swarm mode integrates the orchestration capabilities of Docker Swarm into Docker Engine itself and help administrators and developers with the ability to add or subtract container iterations as computing demands change. With sophisticated but easy to implement features like built-in Service Discovery, Routing Mesh, Secrets, declarative service model, scaling of the services, desired state reconciliation, scheduling, filters, multi-host networking model, Load-Balancing, rolling updates etc. Docker 17.06 is all set for production-ready product today. Join me webinar organised by Docker Izmir, to get familiar with the current Swarm Mode capabilities & functionalities across the heterogeneous environments.
This document provides an overview of Docker security. It discusses how Docker isolates containers using kernel namespaces and cgroups to limit access to resources. It describes how Docker secures communication with its daemon and stores images cryptographically. It also explains how Linux capabilities and features like AppArmor and Seccomp can restrict container access further.
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how packets flow through systems using routing mesh and load balancing.
This document provides an agenda and overview of Docker Machine and Docker Swarm. It discusses how Docker Machine allows managing Docker hosts on various platforms and distributions. It then explains how Docker Swarm exposes multiple Docker engines as a single virtual engine with built-in service discovery and scheduling. The document demonstrates how to set up a Docker Swarm cluster using the hosted discovery service and covers Swarm scheduling strategies, constraints, and container affinities.
Docker Online Meetup #29: Docker Networking is Now GA Docker, Inc.
At DockerCon in June, we first announced experimental support for Docker Networking. As of the 1.9 release of Docker, we are excited to announce that Docker Networking is generally available to define how your Dockerized apps connect together.
Docker Networking is a feature of Docker Engine that allows you to create virtual networks and attach containers to them so you can create the network topology that is right for your application. The networked containers can even span multiple hosts, so you don’t have to worry about what host your container lands on. They can seamlessly communicate with each other wherever they are - thus enabling true distributed applications.
And Networking is pluggable, so you can use any third-party networking driver to power your networks without having to make any changes to your application.
Read more: http://blog.docker.com/2015/11/docker-multi-host-networking-ga/
The document discusses how to create Dockerfiles to containerize web applications. It provides instructions for creating Dockerfiles for both Node.js and Python web applications. For Node.js, it shows how to create a Dockerfile that copies local code and dependencies into an image based on an Alpine Node image and exposes port 8080. For Python, it demonstrates a Dockerfile that copies code and dependencies into an Alpine image, installs Python and pip, exposes port 5000, and runs a Flask app.
This document provides an overview and instructions for Docker installation, networking, volumes, and Dockerfiles. It discusses installing Docker on CentOS, the different network drivers including bridge, and how to create and manage user-defined bridges and volumes. It also explains the components and usage of Dockerfiles to build images, including base images, environment variables, copying files, setting entrypoints and commands. The document includes examples of building an image locally and pushing it to a Docker repository.
Swarm in a nutshell
• Exposes several Docker Engines as a single virtual Engine
• Serves the standard Docker API
• Extremely easy to get started
• Batteries included but swappable
Docker network Present in VietNam DockerDay 2015Van Phuc
The document discusses Docker networking. It begins with an introduction to Docker and why networking is important for communication between containers. It then covers the libnetwork project, Docker networking features in version 1.7 like the docker0 bridge and linking containers, and experimental features like multi-host networking and services. Drivers and plugins for providing networking are described. The document concludes with a call for users to try experimental Docker and contribute to networking projects.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Jak wykorzystać "kontenerowanie" aplikacji, tj. spakowanie zarówno kodu, jak i konfiguracji oraz wysłać to na serwer? Docker umożliwia zrobienie tego szybko i bez potrzeby wirtualizacji nowego środowiska w postaci systemu operacyjnego.
This document discusses networking in Docker containers. It begins by explaining how networking works without Docker, using interfaces, routes and iptables rules. It then explains how Docker sets up networking for containers using bridges, network namespaces and veth pairs. It describes the basic bridged networking and overlay networking models. It also introduces the Container Network Model (CNM) and Docker's libnetwork plugin system for extending networking functionality through external drivers.
Lessons learned in reaching multi-host container networkingTony Georgiev
Lessons learned from building a custom networking solution to embracing the new docker networking model in the Admiral container management platform - https://github.com/vmware/admiral
This document discusses Docker networking and running multi-host applications. It covers networking commands, legacy networking versus new Docker networking, network aliases, single and multi-host demonstrations using Docker Swarm, the need for key-value stores, load balancing solutions, and conclusions that Docker networking is simple to set up but can become complex to understand and debug in more advanced configurations.
Docker Multi Host Networking, Rachit Arora, IBMNeependra Khare
This document discusses Docker multi-host networking options. It provides an overview of Docker networking and describes goals of making the network a first class object and supporting networks across multiple hosts. It then discusses libnetwork, the updated Docker networking stack, and multi-host networking options like Open vSwitch, Weave, and software defined networks (SDNs). Specific setup instructions are provided for Open vSwitch and Weave. Performance comparisons show Weave and Open vSwitch with optimizations can achieve over 90 MB/s bandwidth while the default Open vSwitch configuration is much lower. An alternative OpenStack Neutron-based design is also briefly outlined.
This document summarizes networking concepts for Docker containers including network archetypes like closed, bridged, joined, and open containers. It discusses how network namespaces and inter-container communication work. It also covers service discovery techniques in Docker like container linking and DNS.
#eventcepcja Networking Izabela Górska (Business Link Warszawa)Edyta Kowal
Izabela Górska (Business Link Warszawa) podczas konferencji "Jak przyciągnąć na event prawdziwe tłumy", organizowanej przez Evenea.pl: "Networking jest dla każdego. Ci, którzy zaczynają swoją przygodę z biznesem, aby się utrzymać na rynku, muszą pamiętać o 3 rzeczach: poszerzaniu wiedzy, dobrym reprezentatywnym miejscu dla biznesu oraz budowaniu sieci kontaktów"
Docker networking allows containers to communicate in several ways. Containers can communicate using Docker's default bridge (Docker0), by binding container ports to the host's ports, or using the host's network stack directly. More advanced options include linking containers to share information, using overlay networks with technologies like Open vSwitch, or running containers across multiple hosts with tunnels. The document provides examples of setting up different Docker networking configurations and discusses which methods suit different communication requirements between containers, hosts, and external networks.
The document provides an overview of Docker networking options and access control. It discusses the default Linux bridge networking (Docker0), port mapping to access containers externally, using the host's network, and connecting containers via their networks. It also covers more advanced options like Open vSwitch for encapsulation and programmable networking. The document recommends using iptables and the --icc and --link flags for access control between containers and only allowing connected containers to communicate.
This document provides an overview and agenda for a Docker networking deep dive presentation. The presentation covers key concepts in Docker networking including libnetwork, the Container Networking Model (CNM), multi-host networking capabilities, service discovery, load balancing, and new features in Docker 1.12 like routing mesh and secured control/data planes. The agenda demonstrates Docker networking use cases like default bridge networks, user-defined bridge networks, and overlay networks. It also covers networking drivers, Docker 1.12 swarm mode networking functionality, and how concepts like routing mesh and load balancing work.
Docker networking basics & coupling with Software Defined NetworksAdrien Blind
This presentation reminds Docker networking, exposes Software Defined Network basic paradigms, and then proposes a mixed-up implementation taking benefits of a coupled use of these two technologies. Implementation model proposed could be a good starting point to create multi-tenant PaaS platforms.
As a bonus, OpenStack Neutron internal design is presented.
You can also have a look on our previous presentation related to enterprise patterns for Docker:
http://fr.slideshare.net/ArnaudMAZIN/docker-meetup-paris-enterprise-docker
Docker is an open-source container platform that allows applications to run in isolated containers. It provides lightweight virtualization that is portable and can run anywhere. Fig is a developer-friendly tool that builds upon Docker by providing isolated development environments and allowing applications to be shipped with their configuration through a simple YAML file format. Reconnix uses Docker and Fig to develop and deploy applications in a standardized and portable way.
JDO 2019: Tips and Tricks from Docker Captain - Łukasz LachPROIDEA
The document provides tips and tricks for using Docker including:
1) Installing Docker on Linux in an easy way allowing choice of channel and version.
2) Setting up a local Docker Hub mirror for caching and revalidating images.
3) Using docker inspect to find containers that exited with non-zero codes or show commands for running containers.
4) Organizing docker-compose files with extensions, environment variables, anchors and aliases for well structured services.
This document summarizes a presentation about running .NET applications on Docker containers. It discusses getting started with Docker, differences between Windows and Linux containers, building .NET and Node.js applications as Docker images, deploying containers to production environments, and the future of Docker integration with desktop applications and Microsoft technologies. Examples are provided of Dockerfile instructions for .NET and Node.js applications and using Docker Compose to run multi-container applications.
This document provides instructions for building a multi-container web service using Docker over the course of 90 minutes. It begins with an overview and prerequisites for Docker. It then outlines exercises to revisit Dockerfile, manage data volumes, link containers, use Docker in Docker, build the full service with Haproxy load balancing two Tomcat containers, and use Docker Compose to define and run the application. The goal is to demonstrate how to build and run complex distributed applications with Docker.
Docker: A New Way to Turbocharging Your Apps Developmentmsyukor
Docker is a platform for developing, shipping, and running applications. It provides containers that package applications and dependencies together allowing them to run seamlessly on any infrastructure. The document discusses Docker concepts like containers, images, and the Docker ecosystem. It also provides examples of using Docker with various applications and frameworks like PHP, Java, .NET, Nginx, and Apache. Managing Docker containers at scale can be done with tools like Kubernetes, Docker Datacenter, Rancher, and Prometheus for monitoring.
Running Docker in Development & Production (DevSum 2015)Ben Hall
This document provides an overview of Docker containers and how to use Docker for development and production environments. It discusses Docker concepts like images, containers, and Dockerfiles. It also demonstrates how to build images, run containers, link containers, manage ports, and use Docker Compose. The document shows how Docker can be used to develop applications using technologies like ASP.NET, Node.js, and Go. It also covers testing, deploying to production, and optimizing containers for production.
Architecting .NET Applications for Docker and Container Based DeploymentsBen Hall
This document discusses using Docker containers to deploy .NET applications. It covers running a basic ASP.NET application in a Docker container, linking multiple containers together, and using tools like Docker Gen and Consul for service discovery. It also explores possibilities for the future like running SQL Server and Visual Studio in containers, and how Docker can help close the gap between development and production. The overall message is that Docker is a useful tool for deploying many types of applications, including those built on .NET.
Docker provides a new, powerful way of prototyping, testing and deploying applications on cloud-based infrastructures. In this seminar we delve into the concept of Docker containers without requiring any previous knowledge from the audience.
This document provides an overview of Docker and instructions for installing and using Docker. It discusses what Docker is, the main Docker tools, how to install Docker on different operating systems, and common Docker commands for pulling images, running containers, linking containers, building images with Dockerfiles, and more. The goal is to teach the reader how to containerize a web application using Docker.
A brief introduction to Docker Container technology done at Gurgaon Docker Container Meetup on 30-Jan-2016.
Includes command to launch a simple 2 container linked application that hosts a Etherlite web application.
The document provides an overview of Docker networking as of version 17.06. It begins with introductions of the presenter and some key terminology used. It then discusses why container networking is needed and compares features of container and VM networking. The major components of Docker networking including network drivers, IPAM, Swarm networking, service discovery, and load balancing are outlined. Concepts of CNI/CNM standards and IP address management are explained. Examples of different network drivers such as bridge, overlay, macvlan are provided. The document also covers Docker networking concepts such as default networks, Swarm mode, service discovery, and load balancing. It concludes with some debugging commands and a reference slide.
The Nova driver for Docker has been maturing rapidly since its mainline removal in Icehouse. During the Juno cycle, substantial improvements have been made to the driver, and greater parity has been reached with other virtualization drivers. We will explore these improvements and what they mean to deployers. Eric will additionally showcase deployment scenarios for the deployment of OpenStack itself inside and underneath of Docker for powering traditional VM-based computing, storage, and other cloud services. Finally, users should expect a preview of the planned integration with the new OpenStack Containers Service effort to provide automation of advanced containers functionality and Docker-API semantics inside of an OpenStack cloud.
Note that the included Heat templates are NOT usable. See the linked Heat resources for viable templates and examples.
Managing multicast/igmp stream on DockerThierry Gayet
The document discusses different network drivers in Docker and how to manage multicast streams with Docker. It provides examples of using the host, bridge, macvlan, and none network drivers. It recommends using the host driver or macvlan driver to manage multicast streams, and provides steps to configure multicast on the host and within containers. Specific commands shown include how to create and inspect Docker networks, connect/disconnect containers, and enable multicast routing on the host.
1. The document summarizes the topics covered in an advanced Docker workshop, including Docker Machine, Docker Swarm, networking, services, GitLab integration, IoT applications, Moby/LinuxKit, and a call to action to learn more about Docker on their own.
2. Specific topics included how to create Docker Machines on Azure, build a Swarm cluster, configure networking and services, integrate with GitLab for continuous integration/delivery, develop IoT applications using Docker on Raspberry Pi, and introduce Moby and LinuxKit for building customized container-based operating systems.
3. The workshop concluded by emphasizing business models, microservices, infrastructure as code, container design, DevOps, and
1. The document summarizes the topics covered in an advanced Docker workshop, including Docker Machine, Docker Swarm, networking, services, GitLab integration, Raspberry Pi IoT applications, Docker Compose testing, and Moby/LinuxKit.
2. It provides instructions on using Docker Machine to create a Swarm cluster on Azure VMs and initialize a Swarm manager.
3. Exercises are presented on Docker networking, creating and scaling services, rolling updates, stacks, and Swarm with MySQL and WordPress.
This document discusses Apache jclouds, an open source toolkit for Java that provides APIs for interacting with multiple cloud infrastructure providers. It specifically focuses on integrating jclouds with Docker, an open source containerization platform. Docker exposes its functionality through a REST API that jclouds supports through the jclouds-docker module. The document provides examples of using jclouds-docker to list Docker images and create containers, and discusses how to build and configure jclouds-docker, including how to handle Docker's encrypted TCP socket communication.
This document provides an overview of Docker concepts and tools for beginners. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. Tools in the Docker ecosystem such as Docker Engine, Docker CLI, Docker Hub, Docker Compose, and networking/volume commands.
3. Examples of using Docker Engine, Docker Hub for images, networking, volumes and deploying images to Azure PaaS.
4. How to use Docker Compose to define and run multi-container applications.
This document provides an overview of Docker concepts and tools for beginners. It covers:
1. The differences between virtual machines and containers, and the container lifecycle.
2. Tools in the Docker ecosystem such as Docker Engine, Docker CLI, Docker Hub, Docker Compose, and networking/volume commands.
3. Examples of using Docker Engine, Docker Hub for images, networking, volumes and deploying images to Azure PaaS.
4. How to use Docker Compose to define and run multi-container applications.
Similar to Docker Networking - Boulder Linux Users Group (BLUG) (20)
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
3. What's Docker?
Containerization platform
Provides leaner / application specific virtual machines.
Uses existing kernel features such as namespaces and cgroups
Open source and available on Linux distributions.
Applications are installed on containers packaged, shipped and deployed
This eliminates low level dependencies.
5. Docker basic commands
Docker run – Run a container
Docker attach – attach to a running container
Docker info – identify docker version and configuration details
Docker ps – Show currently running containers.
Docker images - list images cached locally.
Docker <command> --help – show command options
7. Docker Bridge
Docker provides a default bridge "docker0"
By default, all containers are connected to "docker0"
Bridge connects all containers on a single host
Docker network ls – to view existing networks
8. User defined Networks (Bridge)
Docker network create – to create a new network/driver
Docker run –itd –name=container1 –network=<custom bridge name> <image>
Eg:
docker network create –driver bridge isolated_nw
Option to
create a
network
Create
custom driver
Custom network
name
12. Serf
Created by Hashicorp
Used for orchestration and cluster management
Uses Gossip Protocol
Infrequent UDP messages
Supported on Linux, Mac OS and Windows
13. VXLAN (Virtual Extensible LAN)
Extend VLAN address space.
Used for Overlays to implement Encapsulation over Layer 3 infrastructure
Encapsulates Layer 2 information (VXLAN No.) in Layer 3 Packet.
Image sourced from "Arista VXLAN Bridging with DCI Head End Replication"
http://www.intelligentvisibility.com/blog/?p=376
14. Steps to create an overlay network
1. Check and update Docker Engine (Latest version 1.12) on hosts.
2. Set up a KV Store
3. Connect hosts to KV store
4. Create an overlay network.
5. Add containers to overlay network
6. Check connectivity between containers
15. Setting up a KV store
We are using a Consul container as a Docker host
It s deployed on an external host.
docker run -d -p 8500:8500 -h consul --name consul progrium/consul -server -bootstrap
-p = publish a container's port to host
-d = detach/ run in background
-h = container hostname
Docker port consul – check port binding
16. Connecting hosts to KV Store
Stop the docker service
$ sudo systemctl stop docker.service (RedHat)
$ sudo service docker stop
Connect hosts to KV store
sudo docker daemon -H tcp://0.0.0.0:2375 -H unix://var/run/docker.sock --
cluster-advertise <Net int of host>:2375 --cluster-store consul://<Public IP of host
interface>:8500
-H = host --cluster-advertise = send advertisements for cluster on intf:2375 --
cluster-store = IP of KV store/cluster manager
18. Create an overlay Network
On any host:
docker network create –d overlay --subnet=<IP address>/<Mask> <network
name>
19. Add containers to overlay network
On each of the hosts:
docker run –itd --name=<container name> --network=<overlay name>
<container image>
Docker network inspect <overlay name> (for Verification)