Introduzione a Docker

IT Technical Architect
29 de Jan de 2017
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
Introduzione a Docker
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Introduzione a Docker

Notas del editor

  1. ACCELERATE DEVELOPERS Stop wasting hours setting up developer environments, spinning up new instances, and making copies of production code to run locally. With Docker, you simply take copies of your live environment and run them on any new endpoint running a Docker engine. EMPOWER CREATIVITY The isolation capabilities of Docker containers free developers from constraints: they can use the best language and tools for their application services without worrying about causing internal tooling conflicts. ELIMINATE ENVIRONMENT INCONSISTENCIES Packaging an application in a container with its configs and dependencies guarantees that the application will always work as designed in any environment: locally, on another machine, in test or production. No more worries about having to install the same configurations into different environments. DISTRIBUTE & SHARE CONTENT Store, distribute, and manage Docker images in Docker Hub with your team. Image updates, changes, and history are automatically shared across your organization. SIMPLY SHARE YOUR APPLICATION WITH OTHERS Ship containers without worrying about environment dependencies creating issues for your application. Other teams can easily link to or test against your app without having to learn about how it works. QUICKLY SCALE Docker containers spin up and down in seconds, making it easy to scale application services to satisfy peak customer demand, and then reduce running containers when demand ebbs. EASILY REMEDIATE ISSUES Docker makes it easy to identify issues, isolate the problem container, quickly roll back to make the necessary changes, and then push the updated container into production. Isolation between containers makes these changes less disruptive than in traditional software models.
  2. vIRTUAL MACHINES Virtual machines include the application, the necessary binaries and libraries, and an entire guest operating system -- all of which can amount to tens of GBs. CONTAINERS Containers include the application and all of its dependencies --but share the kernel with other containers, running as isolated processes in user space on the host operating system. Docker containers are not tied to any specific infrastructure: they run on any computer, on any infrastructure, and in any clouD.