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.
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.
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.
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.
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
"Boiler Feed Pump (BFP): Working, Applications, Advantages, and Limitations E...Infopitaara
A Boiler Feed Pump (BFP) is a critical component in thermal power plants. It supplies high-pressure water (feedwater) to the boiler, ensuring continuous steam generation.
⚙️ How a Boiler Feed Pump Works
Water Collection:
Feedwater is collected from the deaerator or feedwater tank.
Pressurization:
The pump increases water pressure using multiple impellers/stages in centrifugal types.
Discharge to Boiler:
Pressurized water is then supplied to the boiler drum or economizer section, depending on design.
🌀 Types of Boiler Feed Pumps
Centrifugal Pumps (most common):
Multistage for higher pressure.
Used in large thermal power stations.
Positive Displacement Pumps (less common):
For smaller or specific applications.
Precise flow control but less efficient for large volumes.
🛠️ Key Operations and Controls
Recirculation Line: Protects the pump from overheating at low flow.
Throttle Valve: Regulates flow based on boiler demand.
Control System: Often automated via DCS/PLC for variable load conditions.
Sealing & Cooling Systems: Prevent leakage and maintain pump health.
⚠️ Common BFP Issues
Cavitation due to low NPSH (Net Positive Suction Head).
Seal or bearing failure.
Overheating from improper flow or recirculation.
Value Stream Mapping Worskshops for Intelligent Continuous SecurityMarc Hornbeek
This presentation provides detailed guidance and tools for conducting Current State and Future State Value Stream Mapping workshops for Intelligent Continuous Security.
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to
understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes
the answer to interpreting the decision-making process that AI malware analysis models use to determine
malicious benign samples to gain trust that in a production environment, the system is able to catch
malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI
as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in
many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to
conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to
balance explainability with security. Following this framework, designing a machine with an AI malware
detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its
decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on
choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique,
implementing AdvXAI defensive measures, and continually evaluating the model. This framework will
significantly contribute to automated malware detection and XAI efforts allowing for secure systems that
are resilient to adversarial attacks.
In tube drawing process, a tube is pulled out through a die and a plug to reduce its diameter and thickness as per the requirement. Dimensional accuracy of cold drawn tubes plays a vital role in the further quality of end products and controlling rejection in manufacturing processes of these end products. Springback phenomenon is the elastic strain recovery after removal of forming loads, causes geometrical inaccuracies in drawn tubes. Further, this leads to difficulty in achieving close dimensional tolerances. In the present work springback of EN 8 D tube material is studied for various cold drawing parameters. The process parameters in this work include die semi-angle, land width and drawing speed. The experimentation is done using Taguchi’s L36 orthogonal array, and then optimization is done in data analysis software Minitab 17. The results of ANOVA shows that 15 degrees die semi-angle,5 mm land width and 6 m/min drawing speed yields least springback. Furthermore, optimization algorithms named Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Genetic Algorithm (GA) are applied which shows that 15 degrees die semi-angle, 10 mm land width and 8 m/min drawing speed results in minimal springback with almost 10.5 % improvement. Finally, the results of experimentation are validated with Finite Element Analysis technique using ANSYS.
its all about Artificial Intelligence(Ai) and Machine Learning and not on advanced level you can study before the exam or can check for some information on Ai for project
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
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)