Docker presentation
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Docker provides a standard way to package applications into containers that are portable and can run on any infrastructure. The containers isolate applications from one another and ensure that dependencies and configurations are included so applications always run the same. This allows developers to build applications once and deploy them anywhere without worrying about compatibility or missing dependencies. It also allows operators to configure applications once and run anything on their infrastructure efficiently by eliminating inconsistencies between environments.
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*
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* Docker Cloud
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Link: https://docs.google.com/presentation/d/e/2PACX-1vRAuCJYVzDINO6szlDyqVVWP717S-MaWxYYqsGKOex9z_-eDSMr4u4DP26UQgaEEul4eEqrjAR6NDaT/pub?start=false&loop=false&delayms=3000
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http://www.mediafire.com/download/lfmfzrkgn9wzegm/docker-compose.yml
Présentation link:
https://docs.google.com/presentation/d/1x11EgUqBVLAl70p53rZ-nJoLlL6FoZd2KbvTRxyVp1g/pub?start=false&loop=false&delayms=3000
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5. Containers and DevOps
6. Future of Infrastructure Mgmt
About the talk
In this talk, you will get a review of the components & the benefits of Container technologies - Docker & Kubernetes. The talk focuses on making the solution platform-independent. It gives an insight into Docker and Kubernetes for consistent and reliable Deployment. We talk about how the containers fit and improve your DevOps ecosystem and how to get started with containerization. Learn new deployment approach to effectively use your infrastructure resources to minimize the overall cost.
Hypervisor "versus" Linux Containers with Docker !
Hypervisor "versus" Linux Containers with Docker !Francisco Gonçalves 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
( [email protected] )
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Kubernetes is all you needVishwas N Containerization provides benefits like consistent environments, lightweight packages, and efficient resource utilization and isolation. Kubernetes is an open-source platform that provides tools to automate deployment, scaling, and management of containerized applications. It groups containerized applications into logical units called pods and uses labels to identify pods. It provides features like service discovery, load balancing, rolling updates, and self-healing capabilities. Kubernetes aims to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
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Docker open stack bostondotCloud This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard. It outlines some benefits of Docker combined with OpenStack and the current state of the related OpenStack project.
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OpenStack BostonDocker, Inc. This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard.
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- 1. Intro to Docker Wes Eklund LEX >> FWD
- 2. Let’s start with a problem
- 4. Solution?
- 6. ● 90% of all cargo now shipped in a standard container ● Order of magnitude reduction in cost and time to load and unload ships, trains, trucks
- 7. So now what’s Docker?
- 8. Application ‘Shipping’ Container Static website User DB Queue Web Service Dev VM QA Server Public Cloud Production Cluster Contributor’s laptop
- 9. Ok so what does that give us?
- 10. ● Content Agnostic ● Hardware Agnostic ● Content Isolation and Interaction ● Automation ● Highly efficient ● Separation of duties
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- 13. Operator: Configure Once, Run Anything
- 14. ● Make the entire lifecycle more efficient, consistent, and repeatable ● Increase the quality of code produced by developers ● Eliminate inconsistencies between development, test, production, and customer environments ● Support segregation of duties ● Significantly improves the speed and reliability of continuous deployment and continuous integration systems ● Because the containers are so lightweight, address significant performance, costs, deployment, and portability issues normally associated with VMs
Editor's Notes
- #4: Multiplicity of goods Do I worry about how goods interact (Barrels next to Cars) Multiplicity of methods for transporting/storing Can I transport quickly and smoothly
- #6: A standard container that is loaded with virtually any goods, and stays sealed until it reached final delivery In between can be loaded and unloaded, stacked, transported efficiently over long distances And transferred from one mode of transport to another
- #9: Multiplicity of stacks Do services and apps interact appropriately An engine that enables any payload to be encapsulated as a lightweight, portable self serving box That can be manipulated using standard operations and run consistently on virtually any hardware platform Multiplicity of hardware environments Can I migrate smoothly and quickly Developer: Build Once, Run Anywhere Operator: Configure Once, Run Anything
- #11: Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- #13: Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- #15: Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- #16: Aka lightweight vm Network interface Own process space Can run stuff as root At a low level it’s chroot on steriods
- #17: Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- #18: Aka lightweight vm Network interface Own process space Can run stuff as root At a low level it’s chroot on steriods