Discussing the difference between docker dontainers and virtual machines

(FR) Introduction très sympathique autour des environnements Cloud avec un focus particulier sur la virtualisation et les containers (Docker) (ENG) Friendly presentation about Cloud solutions with a focus on virtualization and containers (Docker). Author: Nicholas Weaver – Principal Architect, Intel Corporation

One of the upsides of Microservices is the ability to deploy often,at arbitrary schedules, and independently of other services, instead of requiring synchronized deployments happening on a fixed time. But to really leverage this advantage, we need fast, efficient, and reliable deployment processes. That's one of the value propositions of Containers in general, and Docker in particular. Docker offers a new, lightweight approach to application portability.It can build applications using easy-to-write, repeatable, efficient recipes; then it can ship them across environments using a common container format; and it can run them within isolated namespaces which abstract the operating environment, independently of the distribution,versions, network setup, and other details of this environment. But Docker can do way more than deploy your apps. Docker also enables you to generalize Microservices principles and apply them on operational tasks like logging, remote access, backups, and troubleshooting.This decoupling results in independent, smaller, simpler moving parts.

This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.

Providing state to applications in Docker requires a backend storage component that is both scalable and resilient in order to cope with a variety of use cases and failure scenarios. The Infinit Storage Platform has been designed to provide Docker applications with a set of interfaces (block, file and object) allowing for different tradeoffs. This talk will go through the design principles behind Infinit and demonstrate how the platform can be used to deploy a storage infrastructure through Docker containers in a few command lines.

Configuration management tools like Chef, Puppet, and Ansible aim to reduce inconsistencies by imposing and managing consistent configurations across environments. However, they do not fully address issues related to dependencies, isolation, and portability. Docker containers build on these tools by adding standard interfaces and a lightweight virtualization layer that encapsulates code and dependencies, allowing applications and their environments to be packaged together and run consistently on any infrastructure while also providing isolation.

This document discusses containers, virtual machines, and Docker. It provides an overview of containers and how they differ from virtual machines by sharing the host operating system kernel and making more efficient use of system resources. The document then covers Docker specifically, explaining that Docker uses containerization to package applications and dependencies into standardized units called containers. It also provides examples of Docker commands to build custom images and run containers.

Hypervisor "versus" Linux Containers! Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere. Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters! Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments. Francisco Gonçalves (Dec2013 ( francis.goncalves@gmail.com )

This document introduces Docker containers. It begins by explaining that Docker solves the problem of inconsistent environments by packaging applications with all their dependencies into standardized units called containers. It then defines what a Docker image is, as a read-only template with layered filesystem changes that form the basis for containers. Finally, it describes how containers are running instances of images that isolate processes but share resources with the host machine, making them lightweight and portable compared to virtual machines.

- Docker is a platform for building, shipping and running applications. It allows applications to be quickly assembled from components and eliminates discrepancies between development and production environments. - Docker provides lightweight containers that allow applications to run in isolated environments called containers without running a full virtual machine. Containers are more portable and use resources more efficiently than virtual machines. - Docker Swarm allows grouping Docker hosts together into a cluster where containers can be deployed across multiple hosts. It provides features like service discovery, load balancing, failure recovery and rolling updates without a single point of failure.

Containers provide lightweight virtualization that packages applications and dependencies together. The document introduces containers and Docker, discusses the differences between containers and virtual machines, and covers key Docker concepts like images, Dockerfiles, Docker Hub, and running SQL Server in containers. It also addresses container setup, licensing, and performance considerations for using containers with SQL Server.

Introduction to Containers - From Docker to Kubernetes and everything in between Presented at: Open Source 101 at Home 2020 Presented by: Brent Laster, SAS Abstract: In this workshop, students will get a quick overview of what containers are and why they form the basis for many of the key technologies that we use today in cloud environments. We’ll explore what makes up a container and how they are managed and leveraged in key industry tooling including Docker, Kubernetes, Helm, and Istio. You’ll also learn the basics of these technologies, what they are used for, and see some simple examples of how to use them. This workshop will include hands-on labs where you will get experience: - Building container images, running them as containers, and tagging and pushing them into a Docker repository. - Creating deployments, services, and pods for containers and instantiating and running those in Kubernetes. - Working with Helm to leverage templates for Kubernetes objects and managing releases in Kubernetes. - Working with Istio to do traffic shaping between multiple versions of your app, fault and delay injection for testing and validation in Kubernetes. We’ll also briefly cover GitOps – the recommend Git-based way to manage infrastructure like your Kubernetes cluster. For more info: https://opensource101.com  

This document discusses Docker containers and provides an introduction. It begins with an overview of Docker and how it uses containerization technology like Linux containers and namespaces to provide isolation. It describes how Docker images are composed of layers and how containers run from these images. The document then explains benefits of Docker like portability and ease of scaling. It provides details on Docker architecture and components like images, registries and containers. Finally, it demonstrates how to simply run a Docker container with a command.

This document provides an overview of Docker, including what Docker is, why it is used, when it should be used, and key Docker concepts like images, networking, and orchestration tools. Docker allows applications to be packaged with all their dependencies and run in isolated containers, improving portability, scalability, and security. Common use cases include stateless applications, automated workflows, and making stateful applications stateless through services like Redis. The document also covers Dockerfiles, Compose, Swarm, Kubernetes and networking drivers.

This document provides an overview of Docker, including what it is, how it compares to virtual machines and containers, its architecture and features. It discusses that Docker virtualizes using lightweight Linux containers rather than full virtual machines, and how this provides benefits like smaller size and faster performance compared to VMs. It also covers Docker's components like the Docker Engine, Hub and images, and how Docker can be used to develop, ship and run applications on any infrastructure.

This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with 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.

This document discusses Docker, including what it is, why it is used, and how it works. Docker provides lightweight software containers that package code and its dependencies so the application runs quickly and consistently on any computing infrastructure. It allows applications to be easily deployed and migrated across computing environments. The document outlines how Docker addresses issues like managing multiple software stacks and hardware environments by creating portable containers that can be run anywhere without reconfiguration. Examples of using Docker for microservices, DevOps, and data centers are also provided.

This document appears to contain student enrollment information for a student named Jonathan Hunt, including test scores of 96, 24, and 120, an online course status, a payment of $2300 that was approved, and enrollment dates of 08/28/2016.

Performance monitoring for Docker Challenges around Docker monitoring - Anomaly detection - CoScale demo For more info about how to use CoScale Docker monitoring, some reading material here: http://www.coscale.com/blog/how-to-monitor-docker-containers-with-coscale and http://www.coscale.com/blog/how-to-monitor-your-kubernetes-cluster A summary of CoScale Docker performance monitoring can be found here: http://www.coscale.com/docker-monitoring

Fune is a Go program that acts as a Docker monitoring agent. It listens to Docker events through the Docker events API and emits actions in response to events, such as notifying Slack or updating a service registry. The agent communicates with the Docker daemon via its socket. It allows emitting pluggable actions when container events like create, start, stop and die are received.

Spenser Reinhardt's presentation on Detecting Security Breaches With Docker, Honeypots, & Nagios. The presentation was given during the Nagios World Conference North America held Oct 13th - Oct 16th, 2014 in Saint Paul, MN. For more information on the conference (including photos and videos), visit: http://go.nagios.com/conference

Nirmata is an enterprise platform that uses Netflix OSS like Eureka, Zuul, Ribbon, and Archaius to build cloud applications. It allows users to model their business services and deploy them along with infrastructure services to sandbox environments using Docker containers. Services are deployed by launching Docker containers from a central repository in a specific order to ensure dependencies are met. Nirmata addresses challenges in running Docker containers together by configuring ports, service communication, and dependency injection.

Christian Lipphardt and Sebastian Menski talk about do and don't and giving good advices when rebuilding your CI infrastructure.

Docker Indy Meetup - Monitoring 30-Aug-2016 - Monitoring platforms - Built in Healthchecks - Sysdig demo - Swarm mode demo + healthchecks Link to demo repository: https://github.com/mbentley/docker-healthcheck-demos

Customers from over all over the world streamed Forty Two Billion hours of Netflix content last year. The Netflix streaming service had been powered by the Amazon cloud with virtual machines for over five years, blazing a trail for similar architectures. In the last year, it invested in containers for batch-style jobs and service-style applications. Andrew Spyker will explain the potential containers have to help Netflix create a more productive development experience while simultaneously deepening its control over resource management. Join Andrew to see why Netflix is moving forward with containers, how it can leverage its existing operational machinery, and how it’s running containers with a similar guarantee of high availability as current Netflix infrastructure provides.

Docker is an open source containerization platform that allows applications to be easily deployed and run across various operating systems and cloud environments. It allows applications and their dependencies to be packaged into standardized executable units called containers that can be run anywhere. Containers are more portable and provide better isolation than virtual machines, making them useful for microservices architecture, continuous integration/deployment, and cloud-native applications.

Docker offers a new, lightweight approach to application portability. Applications are shipped using a common container format, and managed with a high-level API. Their processes run within isolated namespaces which abstract the operating environment, independently of the distribution, versions, network setup, and other details of this environment. This "containerization" has often been nicknamed "the new virtualization". But containers are more than lightweight virtual machines. Beyond their smaller footprint, shorter boot times, and higher consolidation factors, they also bring a lot of new features and use cases which were not possible with classical virtual machines. We will focus on one of those features: separation of operational concerns. Specifically, we will demonstrate how some fundamental tasks like logging, remote access, backups, and troubleshooting can be entirely decoupled from the deployment of applications and services. This decoupling results in independent, smaller, simpler moving parts; just like microservice architectures break down large monolithic apps in more manageable components.

This document discusses how Netflix OSS and Spring Cloud can be used together to implement a microservices architecture. It describes various libraries like Eureka for service discovery, Hystrix for circuit breaking, Ribbon for load balancing, and Zuul for API gateway functionality. It also explains how Spring Boot simplifies application development and Spring Cloud integrates these Netflix libraries and provides additional features like a configuration server. Overall, Netflix OSS and Spring Cloud provide the tools needed to build resilient microservices with service discovery, load balancing, and other capabilities in a transparent way for developers.

This presentation is based on http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7164727&punumber%3D7153311%26filter%3DAND(p_IS_Number%3A7164643)%26pageNumber%3D3

Andrew Spyker presented on the Netflix Cloud Platform and ZeroToDocker project. The following key points were discussed: - ZeroToDocker provides Docker images of Netflix OSS projects like Eureka, Zuul and Asgard to more easily evaluate the technologies. However, the images are not intended for direct production use. - A demo showed running a microservices application and supporting Netflix OSS services like Eureka and Zuul using Docker containers on a single machine. - While Docker aids development and evaluation, additional tooling is needed to operationalize containers at production scale across multiple hosts for tasks like networking, security, logging and scheduling. Competing ecosystems are emerging to address these needs.

Spring Cloud/Netflix OSS way of building microservices on Kubernetes -- preso from Spring One Platform 2016

The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.

What are, or aren't, microservices? There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.