Presentation of the new Docker Swarm Mode in Docker 1.12 at the Bamberg/Germany Docker User Group Meetup (http://www.meetup.com/de-DE/Docker-Bamberg/) in July 2016.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
An introduction to Docker native clustering: Swarm.
Deployment and configuration, integration with Consul, for a product-like cluster to serve web-application with multiple containers on multiple hosts. #dockerops
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.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. It provides features like scheduling, rescheduling on failure, high availability with multiple masters, and service discovery. To set up a Swarm cluster, run the Swarm manager container on one host and restart the Docker daemons on the other hosts with arguments to join the cluster. An example voting app microservices demo shows how to deploy an application across a Swarm cluster.
Docker 1.12 is on everyone's lips these day. With built in Swarm mode, we can achieve orchestration out of the box with simplicity, reliability, and effective scalability. I had the pleasure of presenting Docker 1.12 and Swarm at a DevOps meetup held at SA Home Loans.
You can read more info on my blog: http://blog.stratotechnology.com/intro-to-docker-1-12-and-swarm-mode/
In this overview presented to a gathering of directors for a large network equipment manufacturer, Chris discusses Docker, DevOps workflows, considerations for containers in production, and the extended Docker technology ecosystem.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
An introduction to Docker native clustering: Swarm.
Deployment and configuration, integration with Consul, for a product-like cluster to serve web-application with multiple containers on multiple hosts. #dockerops
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.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. It provides features like scheduling, rescheduling on failure, high availability with multiple masters, and service discovery. To set up a Swarm cluster, run the Swarm manager container on one host and restart the Docker daemons on the other hosts with arguments to join the cluster. An example voting app microservices demo shows how to deploy an application across a Swarm cluster.
Docker 1.12 is on everyone's lips these day. With built in Swarm mode, we can achieve orchestration out of the box with simplicity, reliability, and effective scalability. I had the pleasure of presenting Docker 1.12 and Swarm at a DevOps meetup held at SA Home Loans.
You can read more info on my blog: http://blog.stratotechnology.com/intro-to-docker-1-12-and-swarm-mode/
In this overview presented to a gathering of directors for a large network equipment manufacturer, Chris discusses Docker, DevOps workflows, considerations for containers in production, and the extended Docker technology ecosystem.
Docker allows packaging applications and dependencies into virtual containers that can run on any Linux server. This provides flexibility and portability. Docker images are lighter than virtual machines and use less storage. Docker Compose is a tool that defines and runs multi-container Docker applications using a YAML file to automate building, running, and linking containers together. It handles dependencies and startup order of containers to simplify running complex applications with multiple services.
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
The age of orchestration: from Docker basics to cluster managementNicola Paolucci
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge.
On the above premise this session we'll delve into a selection of the following topics:
- Two minute Docker intro refresher
- Overview of the orchestration landscape (Kubernetes, Mesos, Helios and Docker tools)
- Introduction to Docker own ecosystem orchestration tools (machine, swarm and compose)
- Live demo of cluster management using a sample application.
A basic understanding of Docker is suggested to fully enjoy the talk.
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 Compose allows defining and running multi-container Docker applications. It uses a compose file to configure applications composed of multiple services that use Docker's API to start and stop containers together. Docker Swarm extends Docker's clustering capabilities and schedules containers across multiple Docker hosts. While Docker Compose is for single host deployment, Swarm enables scheduling containers across multiple hosts for scaling and high availability. The session covered Docker Compose configuration, networking, and compared it to Docker Swarm for clustering containers across multiple hosts.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
The document is a slide deck presentation by Bret Fisher on going into production with Docker and Swarm. Some key points from the presentation include focusing first on Dockerfiles rather than complex orchestration, avoiding anti-patterns like using the "latest" tag or trapping unique data in containers, and starting with a simple 3 node Swarm cluster for high availability before scaling up further. The presentation also provides examples of full tech stacks using various open source and commercial tools for a Dockerized infrastructure.
My talk from the Mountain View Docker Meetup on Feb 24, 2016. It covers what Docker Swarm is, how to create a cluster, and then walks you through a sample app. Embedded links point to the public Github repo containing the sample app, as well as a series of Youtube videos showing how to reproduce the demo on your own.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. The document discusses how to set up a Swarm cluster in three steps: 1) Create a key-value store, 2) Run the Swarm manager container, and 3) Configure Docker daemon arguments on hosts. It also provides an example of running a microservices voting application on Swarm and references additional example repositories.
This document discusses Docker Swarm, a native clustering service for Docker that allows scheduling of container workloads across multiple hosts. It describes how to set up a Swarm cluster by labeling multiple machines and joining them to a Swarm manager node. The Swarm manager then uses scheduling options like filters and strategies to distribute containers across hosts based on constraints, affinity, ports, dependencies, health checks, and node labels. While the Swarm API is mostly compatible with Docker's API, it currently has some missing endpoints and differences related to TLS support for secure communication in the cluster.
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document discusses Docker Swarm Mode, which allows managing a cluster of Docker Engines called a swarm. Key features include integrated cluster management, declarative application deployment across nodes, automatic scaling, service discovery, and encryption between nodes. The document demonstrates initializing a swarm on two VMs, adding a worker node, deploying services in replicated and global modes, attaching services to networks, publishing service ports, updating services, and more swarm commands.
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/
Docker Compose and Docker Swarm allow users to easily define and run multi-container applications. Docker Compose defines applications as code in a compose file and spins them up with a single command. Docker Swarm provides native clustering for Docker, turning multiple Docker hosts into a single virtual host. It solves the limitation of containers only running on a single host. The document demonstrates Docker Compose and Swarm through examples of installing, defining, and running applications on Compose and clustering containers on Swarm.
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
Docker Compose allows users to define and run multi-container Docker applications with a single command (docker up). It uses a YAML file to configure the application's services and Docker to automatically build images and link containers. With Compose, complex applications can be started and stopped with a single command, rather than multiple docker run commands. It also integrates with the Docker API, allowing it to work with tools like Docker Swarm for multi-host clusters.
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
Dockers & kubernetes detailed - Beginners to GeekwiTTyMinds1
Docker is a platform for building, distributing and running containerized applications. It allows applications to be bundled with their dependencies and run in isolated containers that share the same operating system kernel. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups Docker containers that make up an application into logical units for easy management and discovery. Docker Swarm is a native clustering tool that can orchestrate and schedule containers on machine clusters. It allows Docker containers to run as a cluster on multiple Docker hosts.
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.
Docker allows packaging applications and dependencies into virtual containers that can run on any Linux server. This provides flexibility and portability. Docker images are lighter than virtual machines and use less storage. Docker Compose is a tool that defines and runs multi-container Docker applications using a YAML file to automate building, running, and linking containers together. It handles dependencies and startup order of containers to simplify running complex applications with multiple services.
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
The age of orchestration: from Docker basics to cluster managementNicola Paolucci
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge.
On the above premise this session we'll delve into a selection of the following topics:
- Two minute Docker intro refresher
- Overview of the orchestration landscape (Kubernetes, Mesos, Helios and Docker tools)
- Introduction to Docker own ecosystem orchestration tools (machine, swarm and compose)
- Live demo of cluster management using a sample application.
A basic understanding of Docker is suggested to fully enjoy the talk.
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 Compose allows defining and running multi-container Docker applications. It uses a compose file to configure applications composed of multiple services that use Docker's API to start and stop containers together. Docker Swarm extends Docker's clustering capabilities and schedules containers across multiple Docker hosts. While Docker Compose is for single host deployment, Swarm enables scheduling containers across multiple hosts for scaling and high availability. The session covered Docker Compose configuration, networking, and compared it to Docker Swarm for clustering containers across multiple hosts.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
The document is a slide deck presentation by Bret Fisher on going into production with Docker and Swarm. Some key points from the presentation include focusing first on Dockerfiles rather than complex orchestration, avoiding anti-patterns like using the "latest" tag or trapping unique data in containers, and starting with a simple 3 node Swarm cluster for high availability before scaling up further. The presentation also provides examples of full tech stacks using various open source and commercial tools for a Dockerized infrastructure.
My talk from the Mountain View Docker Meetup on Feb 24, 2016. It covers what Docker Swarm is, how to create a cluster, and then walks you through a sample app. Embedded links point to the public Github repo containing the sample app, as well as a series of Youtube videos showing how to reproduce the demo on your own.
Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. The document discusses how to set up a Swarm cluster in three steps: 1) Create a key-value store, 2) Run the Swarm manager container, and 3) Configure Docker daemon arguments on hosts. It also provides an example of running a microservices voting application on Swarm and references additional example repositories.
This document discusses Docker Swarm, a native clustering service for Docker that allows scheduling of container workloads across multiple hosts. It describes how to set up a Swarm cluster by labeling multiple machines and joining them to a Swarm manager node. The Swarm manager then uses scheduling options like filters and strategies to distribute containers across hosts based on constraints, affinity, ports, dependencies, health checks, and node labels. While the Swarm API is mostly compatible with Docker's API, it currently has some missing endpoints and differences related to TLS support for secure communication in the cluster.
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document discusses Docker Swarm Mode, which allows managing a cluster of Docker Engines called a swarm. Key features include integrated cluster management, declarative application deployment across nodes, automatic scaling, service discovery, and encryption between nodes. The document demonstrates initializing a swarm on two VMs, adding a worker node, deploying services in replicated and global modes, attaching services to networks, publishing service ports, updating services, and more swarm commands.
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/
Docker Compose and Docker Swarm allow users to easily define and run multi-container applications. Docker Compose defines applications as code in a compose file and spins them up with a single command. Docker Swarm provides native clustering for Docker, turning multiple Docker hosts into a single virtual host. It solves the limitation of containers only running on a single host. The document demonstrates Docker Compose and Swarm through examples of installing, defining, and running applications on Compose and clustering containers on Swarm.
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
Docker Compose allows users to define and run multi-container Docker applications with a single command (docker up). It uses a YAML file to configure the application's services and Docker to automatically build images and link containers. With Compose, complex applications can be started and stopped with a single command, rather than multiple docker run commands. It also integrates with the Docker API, allowing it to work with tools like Docker Swarm for multi-host clusters.
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
Dockers & kubernetes detailed - Beginners to GeekwiTTyMinds1
Docker is a platform for building, distributing and running containerized applications. It allows applications to be bundled with their dependencies and run in isolated containers that share the same operating system kernel. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups Docker containers that make up an application into logical units for easy management and discovery. Docker Swarm is a native clustering tool that can orchestrate and schedule containers on machine clusters. It allows Docker containers to run as a cluster on multiple Docker hosts.
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.
The document discusses Docker in practice for developers, including using Docker for development environments, CI/CD build environments, and production deployments. It covers what Docker is, its history, images, containers, registries, and orchestration tools. Docker can be used to package applications and dependencies, and services like Docker Swarm, ECS, and Kubernetes can distribute containers across nodes for high availability and scaling. Kubernetes is more complex than Docker Swarm but has a longer stability record when configured correctly.
Using Containers for Building and Testing: Docker, Kubernetes and Mesos. FOSD...Carlos Sanchez
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
Building and testing is a great use case for containers, both due to the dynamic and isolation aspects, but running in just one machine is not enough and quickly needs to scale to a clustered setup. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? how do they compare? All of them can be used to dynamically run a cluster of containers.
The Jenkins platform is an example of dynamically scaling by using several Docker cluster and orchestration platforms, using containers to run build agents and jobs, and also isolate job execution.
This talk will cover these main container clusters, outlining the pros and cons, the current state of the art of the technologies and Jenkins support.
The presentation will allow a better understanding of using Docker in the main Docker cluster/orchestration platforms out there (Docker Swarm, Apache Mesos, Kubernetes), sharing my experience and helping people decide which one to use, going through Jenkins examples and current support.
This document provides an overview of Docker and containers. It begins with a brief introduction to 12 Factor Applications methodology and then defines what Docker is, explaining that containers utilize Linux namespaces and cgroups to isolate processes. It describes the Docker software and ecosystem, including images, registries, Docker CLI, Docker Compose, building images with Dockerfile, and orchestrating with tools like Kubernetes. It concludes with a live demo and links to additional resources.
Accelerate your software development with DockerAndrey Hristov
Docker is in all the news and this talk presents you the technology and shows you how to leverage it to build your applications according to the 12 factor application model.
This document discusses Docker, including what it is, why it is useful, and how it can be used at different stages of development and deployment. Docker allows packaging applications and dependencies into standardized containers that can run on any infrastructure. It helps manage different environments, platforms and targets. The document outlines Docker tools like Docker Engine, Docker Compose, Docker Machine and Swarm that can be used for local development, CI/testing, and production deployment of containerized applications.
An on-going presentation for the Docker workshop on how to integrate docker into Vagrant as a provider. In order to remove the requirement of having a VM, and speedup development environments. It also features Puppet as the configuration management system.
The code can be found in: https://github.com/npoggi/vagrant-docker
This document discusses containerization and the Docker ecosystem. It provides a brief history of containerization technologies and an overview of Docker components like Docker Engine, Docker Hub, and Docker Inc. It also discusses developing with Docker through concepts like Dockerfiles, images, and Fig for running multi-container apps. More advanced topics covered include linking containers, volumes, Docker Machine for provisioning, and clustering with Swarm and Kubernetes.
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.
Docker allows packaging applications with dependencies into standardized units called containers. Containers share the operating system kernel and use layered filesystems, making them lightweight and efficient. Docker is based on open standards and supports all major operating systems, providing portability. Common tools include Docker Engine, Docker Client, Docker Compose, Docker Machine, and Docker Swarm for clustering. Docker simplifies development workflows by allowing applications to always run the same regardless of environment.
Docker allows users to package applications and dependencies into standardized units called containers. Containers provide isolation and portability benefits similar to virtual machines but with less overhead. Docker uses resource isolation features of the Linux kernel to run multiple containers simultaneously on a single host. Common uses of Docker include accelerating developer onboarding by providing consistent environments, enabling continuous integration workflows, and easily deploying applications across different computing platforms like physical, virtualized, and cloud environments. Hands-on examples demonstrate how to build Docker images from Dockerfiles, run containers using the Docker CLI or Kitematic GUI, and explore common Docker commands.
The document provides an overview of using Docker to install and run Oracle WebLogic 12c. It describes Docker's components and benefits, how to install Docker on RHEL, and the steps to build a WebLogic 12c Docker image and deploy containers. These include using Oracle's Dockerfiles from GitHub to build custom WebLogic images, deploying the Admin server container, and verifying the installation at the specified port. The goal is to demonstrate Dockerizing WebLogic and spread DevOps practices.
The document discusses containerization using Docker. It provides an overview of containers versus virtual machines, the Docker process including Dockerfiles, images, and container registries. It also covers Docker Swarm for orchestration and provides example Dockerfile and docker-compose code.
This document provides an overview of Docker for developers. It discusses Docker's capabilities for solving portability issues, its advantages over traditional virtualization through operating system-level virtualization using containers that share the same kernel, and how it addresses challenges like slow development times and inefficient resource usage. It also covers Docker concepts like images, containers, registries, networking, security best practices using tools like Docker Bench Security, and cluster management using Docker Swarm.
This document provides an introduction and overview of Docker including:
- Docker allows packaging applications with dependencies to create standardized units for software development and deployment called containers.
- Key Docker concepts include images, which are templates for creating containers, and containers which are runtime instances of images that execute applications.
- Basic Docker commands are demonstrated for pulling images, running containers, building images from Dockerfiles, and pushing images to registries.
- Networking, volumes, and Docker Compose/stacks for defining and running multi-container applications are also introduced.
Docker allows you to package, distribute and run a piece of software, including everything it needs to run: code, runtime, tools, libraries – anything you can install on a server. This guarantees that it will run and behave the same on any environment.
We will be showcasing the following Docker tools and features: Docker Engine, Docker Registry, Docker Compose, Docker Machine, Docker Swarm, Docker Networking
Next to introducing you to these tools, Tom Verelst will also be covering the following topics: Containerisation, Immutable Infrastructure, Docker Orchestration, Continuous Integration with Docker
Presentation sources: https://github.com/tomverelst/docker-presentation
Youtube video: https://www.youtube.com/watch?v=heBI7oQvHZU
Scaling Jenkins with Docker: Swarm, Kubernetes or Mesos?Carlos Sanchez
The Jenkins platform can be dynamically scaled by using several Docker cluster and orchestration platforms, using containers to run slaves and jobs and also isolating job execution. But which cluster technology should be used? Docker Swarm? Apache Mesos? Kubernetes? How do they compare? All of them can be used to dynamically run jobs inside containers. This talk will cover these main container clusters, outlining the pros and cons of each, the current state of the art of the technologies and Jenkins support.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
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2. GOVINDA FICHTNER
Paessler AG Nürnberg
The network monitoring company
Ansible, Chef, Amazon AWS, Linux, CI/CD
Python, Ruby/Rails, Go … and Docker :)
DevOps & Cloud Engineer
Member of the Hypriot Docker Pirates
5. DOCKER SWARM STANDALONE
it is the old Docker native clustering solution
it is not deprecated
future versions of Docker will stay compatible with it
relatively complex to set up
has external dependencies e.g. distributed key/value store
lives at https://github.com/docker/swarm
6. DOCKER SWARM MODE
it is the new Docker Swarm clustering solution
exists side-by-side with the old Docker Swarm
disabled by default
based on https://github.com/docker/swarmkit
7. DOCKER SWARM MODE FEATURES
no external dependencies
simple to set up
built-in/integrated with Docker-Engine
secure by default
managed with the standard Docker CLI
decentralised & resilient
8. SWARM MODE ARCHITECTURE
Manager nodes:
responsible for orchestrating & maintaining the cluster state
communication based on the RAFT protocol
9. SWARM MODE ARCHITECTURE
Worker nodes:
receive tasks (containers) dispatched by manager nodes
Manager nodes can be worker nodes, too
11. DOCKER SWARM MODE CONCEPTS
Manager Node - dispatches tasks to Worker Nodes & Cluster
Management
Swarm - Cluster of Docker Engines with Swarm Mode enabled
Node - either Manager or Worker
Load Balancing - Ingress load balancing on all nodes
Task - the actual container running on a Worker Node
Service - Definition of the Tasks that should run on Workers
13. DOCKER SWARM MODE DEMO 1
getting started fast & experiment
based on Vagrant/Virtualbox
Github-Repo: https://github.com/hypriot/swarmlab
14. DOCKER SWARM MODE DEMO 2
it’s basically a CloudFormation Template & Ami
based on AWS
Currently in Beta only via invite
integrated with AWS infrastructure: ELB, Autoscaling Groups…