Docker
•
0 likes•245 views
Docker is a lightweight container virtualization tool that allows for economical use of resources and short start up times. It uses a union file system and libcontainer to provide isolation between images. Docker works by building images from Dockerfiles which define application and dependencies. The images can then be run as containers and managed through their lifecycle via build pipelines that test, push, and pull images from a Docker registry.
Report
Share
Report
Share
Download to read offline
Recommended
(MED304) The Future of Rendering: A Complete VFX Studio in the AWS Cloud | AW...
Today's studios and visual effects companies require massive computing power and large amounts of storage to produce high-end digital scenes and videos. Maintaining the infrastructure required for these jobs is expensive and operationally difficult, plus demand fluctuates day to day. Geographically diverse workforces adds additional complexity to data and content transfer. The low-cost, utility computing model as well as unique virtualization capabilities offered by AWS are well-suited to addressing these challenges. In this session you will learn how to build and deploy a studio-quality, scalable Arnold render farm on AWS with reusable templates. We'll also demonstrate how to run Maya and Deadline remotely with AWS AppStream, and use them to edit scenes and coordinate render jobs entirely in the cloud.
SIGGRAPH Presentation 2016 Slides
This document discusses Industrial Light & Magic's move to a cloud-based workflow for visual effects production. Some key points include replacing the file system with a new publishing system and globally available graph database on Cassandra to store all project data. Their backbone uses Mesos and Docker for flexible deployment anywhere. The future of content creation may involve applications as services on Mesos with low latency. They have learned that anything is possible and the future is bright for reimagining the VFX workflow.
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
Hands on Compute Engine
This document provides an overview of Google Cloud Platform services including Compute Engine, networking, load balancing, logging, and monitoring. It discusses setting up a Google Cloud Project, using the web console and command line interface, creating VM instances, managing disks and images, configuring networking and firewall rules, implementing load balancing with target pools and forwarding rules, and auto-scaling instances. The document concludes by proposing a hands-on exercise to build an auto-scaling architecture with an Apache service and load balancer and test it using ab.
Kubernetes at Google Cloud Community Copenhagen
A presentation I gave at the Google Cloud Developer Community Copenhagen. About what is Kubernetes really about and what it enables!
Tooling Matters - Development tools
This document discusses development tooling and provides an overview of the tools used at tado° for various stages of development including collaboration, development, build, test, deployment, production, and logging/monitoring. It recommends tools like Google Apps, Github, Jenkins, Gradle, AWS, Packer.io, Logstash, and CloudWatch and provides examples of how they are used at tado° for tasks like source control, continuous integration, deployment, and analytics. It also includes information about the presenter and an invitation to learn more about job opportunities at tado°.
Intro to the Google Cloud for Developers
This document provides an introduction to developing applications on Google Cloud. It discusses Google's cloud infrastructure and services like Compute Engine and App Engine. It demonstrates how to use the Google Cloud SDK and APIs to manage resources and build applications using various languages and tools. Specifically, it shows how to create instances in Compute Engine and Big Query, deploy applications to App Engine from Eclipse, and use command line tools to manage storage, databases and other services.
Neptue Graph Database - 0 to Production
Presentation of a session about how we use AWS Neptune graph database and the road that we took from 0 to production as it was given at GeekTime Code conference by Ohad Israeli Tech Engineering Architect @ Natural Intelligence
Recommended
(MED304) The Future of Rendering: A Complete VFX Studio in the AWS Cloud | AW...
Today's studios and visual effects companies require massive computing power and large amounts of storage to produce high-end digital scenes and videos. Maintaining the infrastructure required for these jobs is expensive and operationally difficult, plus demand fluctuates day to day. Geographically diverse workforces adds additional complexity to data and content transfer. The low-cost, utility computing model as well as unique virtualization capabilities offered by AWS are well-suited to addressing these challenges. In this session you will learn how to build and deploy a studio-quality, scalable Arnold render farm on AWS with reusable templates. We'll also demonstrate how to run Maya and Deadline remotely with AWS AppStream, and use them to edit scenes and coordinate render jobs entirely in the cloud.
SIGGRAPH Presentation 2016 Slides
This document discusses Industrial Light & Magic's move to a cloud-based workflow for visual effects production. Some key points include replacing the file system with a new publishing system and globally available graph database on Cassandra to store all project data. Their backbone uses Mesos and Docker for flexible deployment anywhere. The future of content creation may involve applications as services on Mesos with low latency. They have learned that anything is possible and the future is bright for reimagining the VFX workflow.
AWS September Webinar Series - Visual Effects Rendering in the AWS Cloud with...
Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads.
By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager.
Learning Objectives:
How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering
Who should attend:
IT administrators, rendering and visual effects professionals
Hands on Compute Engine
This document provides an overview of Google Cloud Platform services including Compute Engine, networking, load balancing, logging, and monitoring. It discusses setting up a Google Cloud Project, using the web console and command line interface, creating VM instances, managing disks and images, configuring networking and firewall rules, implementing load balancing with target pools and forwarding rules, and auto-scaling instances. The document concludes by proposing a hands-on exercise to build an auto-scaling architecture with an Apache service and load balancer and test it using ab.
Kubernetes at Google Cloud Community Copenhagen
A presentation I gave at the Google Cloud Developer Community Copenhagen. About what is Kubernetes really about and what it enables!
Tooling Matters - Development tools
This document discusses development tooling and provides an overview of the tools used at tado° for various stages of development including collaboration, development, build, test, deployment, production, and logging/monitoring. It recommends tools like Google Apps, Github, Jenkins, Gradle, AWS, Packer.io, Logstash, and CloudWatch and provides examples of how they are used at tado° for tasks like source control, continuous integration, deployment, and analytics. It also includes information about the presenter and an invitation to learn more about job opportunities at tado°.
Intro to the Google Cloud for Developers
This document provides an introduction to developing applications on Google Cloud. It discusses Google's cloud infrastructure and services like Compute Engine and App Engine. It demonstrates how to use the Google Cloud SDK and APIs to manage resources and build applications using various languages and tools. Specifically, it shows how to create instances in Compute Engine and Big Query, deploy applications to App Engine from Eclipse, and use command line tools to manage storage, databases and other services.
Neptue Graph Database - 0 to Production
Presentation of a session about how we use AWS Neptune graph database and the road that we took from 0 to production as it was given at GeekTime Code conference by Ohad Israeli Tech Engineering Architect @ Natural Intelligence
Shelly cloud & heroku & engineyard. Pros & Cons
This document compares the Platform as a Service (PaaS) providers Heroku, EngineYard, and ShellyCloud. It discusses their architectures, deployment processes using Git, management via command line interfaces, supported languages, free tiers, file storage, email sending options, database support, and pricing models. The aim of PaaS is to handle infrastructure management and allow developers to focus on building applications without worrying about deployment or operations.
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...Cloud Native Day Tel Aviv
Cloud is the de-facto standard for data driven applications. However, cloud provider services tend to be slow, expensive and come with potential lock-ins. With emerging open-source cloud-native orchestration tools like Kubernetes, open source data stores and serverless platforms you can build your own multi tenancy cloud data service, save costs and gain performance and portability. The session will describe how you can build an equivalent set of AWS data services with cloud agnostic tools and achieve an Amazon like experience. Present a variety of analytics tools and explain how to use Kubernetes, as well as how to handle . A lesson learned through the suffering of others.Cost Effective Rendering in the Cloud with Spot Instances
Usman Shakeel from Amazon Web Services, explains to us how to use AWS Spot Instances to implement low cost video rendering applications and workflows.
This presentation was delivered during the AWS Toronto Media and Entertainment Symposium
Trying out the Go language with Google App Engine
This document provides an overview of using the Go programming language with Google App Engine. It introduces Google App Engine and its competitors as platforms for hosting web applications in the cloud. It then discusses why the Go language is well-suited for App Engine, how to set up a development environment for Go and App Engine, and demonstrates a "Hello World" application deployed to App Engine. Additional resources for learning more about the Go language and developing with Go on App Engine are also provided.
Keepler | Google Cloud Next 2019 Review
Keepler provides fully managed cloud services on Google Cloud including hybrid cloud solutions, databases, serverless computing, APIs, analytics, and machine learning. Some key announcements include Anthos for hybrid cloud management, expanding Cloud SQL to include MySQL, PostgreSQL, and SQL Server, Data Fusion for data pipelines, and new AutoML capabilities for tabular data, images, video, and natural language.
Google Compute Engine
The document is a presentation about Google Compute Engine (GCE). It discusses cloud computing service levels including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). GCE is described as an IaaS offering that provides virtual machines with flexible configurations and pricing based on minute usage. A demo is shown creating a VM and hosting a website using Apache. Another demo spins up a Hadoop cluster on GCE for distributed data processing.
Docker in der Cloud
This document discusses using Docker containers in the cloud. It begins with an introduction to Docker and Amazon Web Services (AWS). It then covers deploying Docker containers to AWS using services like OpsWorks, Elastic Beanstalk, and EC2 Container Service. It also discusses the immutable server pattern and using EC2 Container Service to manage Docker containers on EC2 instances.
Meetup Estonia, talk about Azure AKS and ACI Connector
Bursting from AKS to ACI with the Virtual Kubelet – instruction how to get started with virtual kubelet and AKS
Virtual kubelet project on github
Virtual kubelet explained
Azure Portal (you can get started with free money on it first time)
Azure Pricing Calculator – to estimate your expenses
AWS Fargate and EKS
Kubectl cheat sheet
Future of Cloud Starts with Serverless
Presentation shows how current Cloud looks like and how it will evolve with serverless technologies such as AWS Lambda, API Gateway and CloudFront.
Do we need servers?
Do we need regions?
No.
DevOps in real life
Александр Снеговой, DevOps Software Engineer в DataArt Kherson. Более шести лет в IT. Сертифицированный AWS Solutions Architect Associate. Докладчик на международных научных конференциях. Религиозный фанат Docker.
Презентация:
1. Докеризация приложения.
2. Настройка CI/CD.
3. Развертывание инфраструктуры в AWS с помощью Terraform.
AWS Customer Presentation - How TubeMogul uses AWS
TubeMogul is a company that provides video syndication and analytics services. They were facing challenges of scaling their systems to meet growing demand. They evaluated Amazon Web Services (AWS) to address these challenges. AWS provided solutions such as elastic compute and storage, which allowed TubeMogul to dynamically scale their infrastructure as needed and reduce management overhead. TubeMogul deployed their systems on AWS and found it helped them address their requirements for scalability, high availability, and reducing costs.
Droplr Serverless Revolution - How we killed 50 servers in a year
Droplr is transitioning their infrastructure from traditional servers to serverless architectures to reduce complexity, improve maintainability, and increase performance. They have moved many of their services to AWS Lambda, including scheduled jobs, event-driven processes, and HTTP microservices. This has allowed them to simplify their stack, improve scalability, and reduce costs. While serverless architectures require some adjustments, Droplr has seen benefits from their transition and plans to expand their use of serverless and further optimize their infrastructure.
Event driven autoscaling with KEDA
Slide deck related to the Microsoft Reactor Benagluru event on September 1 2021.
https://www.meetup.com/en-AU/microsoft-reactor-bengaluru/events/280353882
During the session following topics were covered
- Scaling options in Kubernetes including HPA, Cluster Autoscaler, Manual scaling
- Need for Kubernetes based Event Driven Autoscaling (KEDA)
- Live demos of Producer and Consumer for RabbitMQ queue
- KEDA Architecture
- KEDA scalers and event sources
Event driven workloads on Kubernetes with KEDA
Slide deck of the presentation done at the Pune User Group on 27th February 2021. Demonstrate how Kubernetes based event driven autoscaling (KEDA) can be used with RabbitMQ as the event source.
DevOpsDaysRiga 2018: Anton Babenko - What you see is what you get… for AWS in...
Get your AWS infrastructure implemented as code automatically from the visual diagram (cloudcraft.co)! Want to know how to do it? Anton Babenko, a long time developer, CTO, and tech-lead, will show you just in 5 minutes during his Ignite Talk @ DevOpsDays Riga event.
Cluster api devopscon berlin
https://devopsconference.de/container-technologies/kube-node-let-your-kubernetes-cluster-auto-manage-its-nodes/
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, ...
AWS Community Day | Midwest 2018
Track 1
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, Steve Miers, Kirtesh Garg, Minneapolis
Building cloud native apps with .net core 3.0 and kubernetes
Slide deck of the demo for Dotnet Conf Singapore 2019 event. the talk demonstrated new features in .Net core for building Cloud native applications including Health endpoints, worker services and configuration support for Kubernetes
Infrastructure as a code: a cloud approach
Federico Bollotta, Software Analyst & Magento Specialist, presenta il workshop “Infrastructure as a code: a cloud approach”.
Federico ci porta alla scoperta del kit AWS Cloud Development (AWS CDK), un framework di sviluppo software open source che consente di modellare ed erogare risorse di applicazioni cloud tramite linguaggi di programmazione noti.
Durante l’incontro vengono approfondite le metodologie attuali e le diverse applicazioni del Cloud Development Kit, in particolare quelle per deploy di strutture serverless.
L'evento è dedicato a tutti gli appassionati del mondo IT e a coloro che vogliono approfondire le proprie conoscenze in merito ad AWS CDK.
Docker Orchestration: Welcome to the Jungle! JavaOne 2015
In two years, Docker hit the sweet spot for devs and ops, with tools for building, shipping, and running distributed apps architected as a set of collaborating microservices packaged as Linux containers. One area of the Docker ecosystem that saw a lot of innovation in the past year is container orchestration systems. This session compares and contrasts various Docker orchestration systems (Swarm, Machine, and Compose), the batteries included with Docker itself, Mesos, Kubernetes, CoreOS/Fleet, Deis, Cloud Foundry, and Tutum. It includes a demo of how to deploy a Java 8 app with MongoDB on several of these systems. The goal of the session is to give you a framework to help evaluate how these systems can meet your particular requirements.
Dockercon eu tour 2015 - Devoxx Casablanca
This document provides an overview of Docker and Michel Courtine's role at Docker Inc. It discusses Docker's mission to build tools for mass innovation and how Docker aims to enable a software layer to program the internet. It also highlights key Docker technologies like containers, images, and orchestration tools and how Docker is being used across various industries and platforms.
Docker Introduction
This document provides an introduction to Docker and discusses:
- The challenges of managing applications across different environments which Docker aims to solve through lightweight containers.
- An overview of Docker concepts including images, containers, the Docker workflow and networking.
- How Docker Compose allows defining and running multi-container applications and Docker Swarm enables orchestrating containers across a cluster.
- The open container ecosystem including the Open Container Initiative for standardization.
More Related Content
What's hot
Shelly cloud & heroku & engineyard. Pros & Cons
This document compares the Platform as a Service (PaaS) providers Heroku, EngineYard, and ShellyCloud. It discusses their architectures, deployment processes using Git, management via command line interfaces, supported languages, free tiers, file storage, email sending options, database support, and pricing models. The aim of PaaS is to handle infrastructure management and allow developers to focus on building applications without worrying about deployment or operations.
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...Cloud Native Day Tel Aviv
Cloud is the de-facto standard for data driven applications. However, cloud provider services tend to be slow, expensive and come with potential lock-ins. With emerging open-source cloud-native orchestration tools like Kubernetes, open source data stores and serverless platforms you can build your own multi tenancy cloud data service, save costs and gain performance and portability. The session will describe how you can build an equivalent set of AWS data services with cloud agnostic tools and achieve an Amazon like experience. Present a variety of analytics tools and explain how to use Kubernetes, as well as how to handle . A lesson learned through the suffering of others.Cost Effective Rendering in the Cloud with Spot Instances
Usman Shakeel from Amazon Web Services, explains to us how to use AWS Spot Instances to implement low cost video rendering applications and workflows.
This presentation was delivered during the AWS Toronto Media and Entertainment Symposium
Trying out the Go language with Google App Engine
This document provides an overview of using the Go programming language with Google App Engine. It introduces Google App Engine and its competitors as platforms for hosting web applications in the cloud. It then discusses why the Go language is well-suited for App Engine, how to set up a development environment for Go and App Engine, and demonstrates a "Hello World" application deployed to App Engine. Additional resources for learning more about the Go language and developing with Go on App Engine are also provided.
Keepler | Google Cloud Next 2019 Review
Keepler provides fully managed cloud services on Google Cloud including hybrid cloud solutions, databases, serverless computing, APIs, analytics, and machine learning. Some key announcements include Anthos for hybrid cloud management, expanding Cloud SQL to include MySQL, PostgreSQL, and SQL Server, Data Fusion for data pipelines, and new AutoML capabilities for tabular data, images, video, and natural language.
Google Compute Engine
The document is a presentation about Google Compute Engine (GCE). It discusses cloud computing service levels including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). GCE is described as an IaaS offering that provides virtual machines with flexible configurations and pricing based on minute usage. A demo is shown creating a VM and hosting a website using Apache. Another demo spins up a Hadoop cluster on GCE for distributed data processing.
Docker in der Cloud
This document discusses using Docker containers in the cloud. It begins with an introduction to Docker and Amazon Web Services (AWS). It then covers deploying Docker containers to AWS using services like OpsWorks, Elastic Beanstalk, and EC2 Container Service. It also discusses the immutable server pattern and using EC2 Container Service to manage Docker containers on EC2 instances.
Meetup Estonia, talk about Azure AKS and ACI Connector
Bursting from AKS to ACI with the Virtual Kubelet – instruction how to get started with virtual kubelet and AKS
Virtual kubelet project on github
Virtual kubelet explained
Azure Portal (you can get started with free money on it first time)
Azure Pricing Calculator – to estimate your expenses
AWS Fargate and EKS
Kubectl cheat sheet
Future of Cloud Starts with Serverless
Presentation shows how current Cloud looks like and how it will evolve with serverless technologies such as AWS Lambda, API Gateway and CloudFront.
Do we need servers?
Do we need regions?
No.
DevOps in real life
Александр Снеговой, DevOps Software Engineer в DataArt Kherson. Более шести лет в IT. Сертифицированный AWS Solutions Architect Associate. Докладчик на международных научных конференциях. Религиозный фанат Docker.
Презентация:
1. Докеризация приложения.
2. Настройка CI/CD.
3. Развертывание инфраструктуры в AWS с помощью Terraform.
AWS Customer Presentation - How TubeMogul uses AWS
TubeMogul is a company that provides video syndication and analytics services. They were facing challenges of scaling their systems to meet growing demand. They evaluated Amazon Web Services (AWS) to address these challenges. AWS provided solutions such as elastic compute and storage, which allowed TubeMogul to dynamically scale their infrastructure as needed and reduce management overhead. TubeMogul deployed their systems on AWS and found it helped them address their requirements for scalability, high availability, and reducing costs.
Droplr Serverless Revolution - How we killed 50 servers in a year
Droplr is transitioning their infrastructure from traditional servers to serverless architectures to reduce complexity, improve maintainability, and increase performance. They have moved many of their services to AWS Lambda, including scheduled jobs, event-driven processes, and HTTP microservices. This has allowed them to simplify their stack, improve scalability, and reduce costs. While serverless architectures require some adjustments, Droplr has seen benefits from their transition and plans to expand their use of serverless and further optimize their infrastructure.
Event driven autoscaling with KEDA
Slide deck related to the Microsoft Reactor Benagluru event on September 1 2021.
https://www.meetup.com/en-AU/microsoft-reactor-bengaluru/events/280353882
During the session following topics were covered
- Scaling options in Kubernetes including HPA, Cluster Autoscaler, Manual scaling
- Need for Kubernetes based Event Driven Autoscaling (KEDA)
- Live demos of Producer and Consumer for RabbitMQ queue
- KEDA Architecture
- KEDA scalers and event sources
Event driven workloads on Kubernetes with KEDA
Slide deck of the presentation done at the Pune User Group on 27th February 2021. Demonstrate how Kubernetes based event driven autoscaling (KEDA) can be used with RabbitMQ as the event source.
DevOpsDaysRiga 2018: Anton Babenko - What you see is what you get… for AWS in...
Get your AWS infrastructure implemented as code automatically from the visual diagram (cloudcraft.co)! Want to know how to do it? Anton Babenko, a long time developer, CTO, and tech-lead, will show you just in 5 minutes during his Ignite Talk @ DevOpsDays Riga event.
Cluster api devopscon berlin
https://devopsconference.de/container-technologies/kube-node-let-your-kubernetes-cluster-auto-manage-its-nodes/
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, ...
AWS Community Day | Midwest 2018
Track 1
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, Steve Miers, Kirtesh Garg, Minneapolis
Building cloud native apps with .net core 3.0 and kubernetes
Slide deck of the demo for Dotnet Conf Singapore 2019 event. the talk demonstrated new features in .Net core for building Cloud native applications including Health endpoints, worker services and configuration support for Kubernetes
Infrastructure as a code: a cloud approach
Federico Bollotta, Software Analyst & Magento Specialist, presenta il workshop “Infrastructure as a code: a cloud approach”.
Federico ci porta alla scoperta del kit AWS Cloud Development (AWS CDK), un framework di sviluppo software open source che consente di modellare ed erogare risorse di applicazioni cloud tramite linguaggi di programmazione noti.
Durante l’incontro vengono approfondite le metodologie attuali e le diverse applicazioni del Cloud Development Kit, in particolare quelle per deploy di strutture serverless.
L'evento è dedicato a tutti gli appassionati del mondo IT e a coloro che vogliono approfondire le proprie conoscenze in merito ad AWS CDK.
What's hot (19)
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...
Building Cloud Native Data Services - Eliran Bivas, Iguazio - Cloud Native Da...
Cost Effective Rendering in the Cloud with Spot Instances
Cost Effective Rendering in the Cloud with Spot Instances
Meetup Estonia, talk about Azure AKS and ACI Connector
Meetup Estonia, talk about Azure AKS and ACI Connector
AWS Customer Presentation - How TubeMogul uses AWS
AWS Customer Presentation - How TubeMogul uses AWS
Droplr Serverless Revolution - How we killed 50 servers in a year
Droplr Serverless Revolution - How we killed 50 servers in a year
DevOpsDaysRiga 2018: Anton Babenko - What you see is what you get… for AWS in...
DevOpsDaysRiga 2018: Anton Babenko - What you see is what you get… for AWS in...
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, ...
Server-less solution for moving Millions of Images in Cloud - Brett Sutter, ...
Building cloud native apps with .net core 3.0 and kubernetes
Building cloud native apps with .net core 3.0 and kubernetes
Similar to Docker
Docker Orchestration: Welcome to the Jungle! JavaOne 2015
In two years, Docker hit the sweet spot for devs and ops, with tools for building, shipping, and running distributed apps architected as a set of collaborating microservices packaged as Linux containers. One area of the Docker ecosystem that saw a lot of innovation in the past year is container orchestration systems. This session compares and contrasts various Docker orchestration systems (Swarm, Machine, and Compose), the batteries included with Docker itself, Mesos, Kubernetes, CoreOS/Fleet, Deis, Cloud Foundry, and Tutum. It includes a demo of how to deploy a Java 8 app with MongoDB on several of these systems. The goal of the session is to give you a framework to help evaluate how these systems can meet your particular requirements.
Dockercon eu tour 2015 - Devoxx Casablanca
This document provides an overview of Docker and Michel Courtine's role at Docker Inc. It discusses Docker's mission to build tools for mass innovation and how Docker aims to enable a software layer to program the internet. It also highlights key Docker technologies like containers, images, and orchestration tools and how Docker is being used across various industries and platforms.
Docker Introduction
This document provides an introduction to Docker and discusses:
- The challenges of managing applications across different environments which Docker aims to solve through lightweight containers.
- An overview of Docker concepts including images, containers, the Docker workflow and networking.
- How Docker Compose allows defining and running multi-container applications and Docker Swarm enables orchestrating containers across a cluster.
- The open container ecosystem including the Open Container Initiative for standardization.
IBM Cloud Paris Meetup - 20180628 - Rex on ODM on Cloud
This document discusses deploying IBM Operational Decision Manager (ODM) on Kubernetes. It provides a brief history of moving ODM from on-premise to Docker and Kubernetes. It discusses tips for building Docker images for ODM and using Helm charts to deploy ODM on Kubernetes. Finally, it discusses deploying ODM on IBM Cloud Private using Docker images and Helm charts to provide a production-ready deployment of ODM on Kubernetes.
Docker Orchestration: Welcome to the Jungle! Devoxx & Docker Meetup Tour Nov ...
In two years, Docker hit the sweet spot for devs and ops, with tools for building, shipping, and running distributed apps architected as a set of collaborating microservices packaged as Linux containers. One area of the Docker ecosystem that saw a lot of innovation in the past year is container orchestration systems. This session compares and contrasts various Docker orchestration systems (Swarm, Machine, and Compose), the batteries included with Docker itself, Mesos, Kubernetes, CoreOS/Fleet, Deis, Cloud Foundry, and Tutum. It includes a demo of how to deploy a Java 8 app with MongoDB on several of these systems. The goal of the session is to give you a framework to help evaluate how these systems can meet your particular requirements.
Demo code at https://github.com/chanezon/docker-tips/blob/master/orchestration-networking/README.md
Docker In Brief
This document provides information about Docker and how it compares to virtual machines. It defines key Docker concepts like containers, images, and layers. It explains that Docker allows applications to be packaged with all their dependencies and shipped as standardized units called containers that can run on any Linux server that has Docker installed. Containers are more lightweight than virtual machines and provide greater performance and portability. The document also provides examples of how to build Docker images using Dockerfiles and deploy containers.
Docker Introduction
Docker is a system for running applications securely isolated in a container to provide a consistent deployment environment. The document introduces Docker, discusses the challenges of deploying applications ("the matrix from hell"), and how Docker addresses these challenges by allowing applications and their dependencies to be packaged into lightweight executable containers that can run on any infrastructure. It also summarizes key Docker tools like Docker Compose for defining and running multi-container apps, Docker Machine for provisioning remote Docker hosts in various clouds, and Docker Swarm for clustering Docker hosts.
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...
Watson developer cloud delivers Watson Cognitive services as micro services on the cloud that are being used by many IBM Watson customers. The micro services were packaged in ova at the first release. There were some drawbacks in ova deployment in the cloud. We gradually switched to use docker. As a result, the service deployment time and start up time are significantly improved. It also greatly simplified our continuous delivery process since our services run on both Intel and Power platform and we have offerings on our public cloud, dedicated cloud as well as customers’ on premise cloud. With minimal deployment time and quick startup time, Docker makes our dynamic creation of service instance on the fly per customer request possible.
Deploying deep learning models with Docker and Kubernetes
Short introduction for platform agnostic production deployment with some medical examples.
Alternative download: https://www.dropbox.com/s/qlml5k5h113trat/deep_cloudArchitecture.pdf?dl=0
Getting started with Docker sandboxes for MariaDB
This document provides an overview of Docker sandboxes for MariaDB. It discusses Docker and how it performs operating system-level virtualization through containers. It then describes MariaDB's supported Docker images for its products like MariaDB Server, MaxScale, Columnstore, and X3 Platform. The document outlines the MariaDB Server sandbox and MariaDB Analytics sandbox, including prerequisites and how to run them. It provides a hands-on demonstration of pulling the code from GitHub and running the sandboxes locally using Docker Compose or Minikube.
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
This document discusses using Docker containers with OpenStack. Key points include:
- A Docker plugin allows controlling Docker containers via the OpenStack Nova API and Horizon dashboard. This enables launching, terminating, rebooting and managing the lifecycle of Docker containers as if they were virtual machines.
- Heat orchestration templates can be used to define Docker resources and automate the deployment of multi-container applications on OpenStack. Heat integrates with the Docker API to start and stop containers.
- Developers can test OpenStack using Docker by running DevStack inside a container, allowing containers to be used like virtual machines for testing and development purposes.
How (and why) to roll your own Docker SaaS
SkyDock is an open source solution for building & hosting Docker images at scale in the cloud. Designed to solve real-world problems faced in traditional CI systems that limit throughput and hinder your ability to deliver software quickly and reliably.
From a Skyscanner Engineering perspective this is a great opportunity to showcase some of the cutting edge work that we are doing with Docker, Ansible and AWS. It also highlights that we are solving problems at scale from a both a technical and organisational perspective.
Continuous Delivery of Cloud Applications with Docker Containers and IBM Bluemix
This document discusses continuous delivery of cloud applications using Docker containers on IBM Bluemix. It provides an overview of benefits of continuous delivery such as increased stability. It then discusses why containers and cloud PaaS platforms are useful for application development. It also demonstrates how to use the IBM Container Service to build, deploy and manage containerized applications on Bluemix through features like private registries, container groups, public IP binding, storage and integration with Cloud Foundry services. The document includes code samples and discusses using a delivery pipeline with Bluemix DevOps services to enable continuous deployment through staging and production environments.
DevOps Workflow: A Tutorial on Linux Containers
In this deck from the Stanford HPC Conference, Christian Kniep from Docker, Inc. gives a tutorial on linux containers.
"This tutorial provides a detailed overview of the components needed to run containerized applications and explores how distributed HPC applications can be tackled. We’ll explain the concept of Linux Containers and describe the bits and pieces participants will explore following step-by-step examples.
The workshop will introduce the predominant forms of orchestration in the industry; what problems they solve and how to approach the problem.
Attendees will explore the benefits and drawbacks of orchestrators first hand with their own small exemplary stack deployments.
Finally the workshop will introduce how HPC and Big Data workloads can be tackled on-top of these service-oriented clusters."
Watch the video: https://youtu.be/LJinZpCTyk0
Learn more: http://www.docker.com/
and
http://hpcadvisorycouncil.com
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Docker - Portable Deployment
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
DCEU 18: Building Your Development Pipeline
This document discusses building a development pipeline using containers. It outlines using containers for building images, automated testing, security scanning, and deploying to production. Containers make environments consistent and reproducible. The pipeline includes building images, testing, security scanning, and promoting images to production. Methods discussed include using multi-stage builds to optimize images, leveraging Buildkit for faster builds, and parallel testing across containers. Automated tools are available to implement rolling updates and rollbacks during deployments.
Intro to docker and kubernetes
Intro to Docker and Kubernetes was presented at Microsoft Azure Dev usergroup meetup at Microsoft, Munich.
Dockerize the World
Presentation about docker from Java User Group in Ostrava CZ (23th of November 2015). Presented by Martin Damovsky (@damovsky).
Demos are available at https://github.com/damovsky/jug-ostrava-docker
ContainerDayVietnam2016: Dockerize a small business
This document discusses how Docker can transform development and deployment processes for modern applications. It outlines some of the challenges of developing and deploying applications across different environments, and how Docker addresses these challenges through containerization. The document then provides examples of how to dockerize a Rails and Python application, set up an Nginx reverse proxy with Let's Encrypt, and configure a Docker cluster for continuous integration testing.
HPC Cloud Burst Using Docker
This document discusses using Docker containers to deploy high performance computing (HPC) applications across private and public clouds. It begins with an abstract describing cloud bursting using Docker containers when demand spikes. The introduction provides background on Docker, a container-based virtualization technology that is more lightweight than hypervisor-based virtual machines. The authors implement a model for deploying distributed applications using Docker containers, which have less overhead than VMs since they share the host operating system and libraries. The system overview shows the process of creating Docker images of web applications, deploying them to containers on private cloud, and bursting to public cloud when thresholds are exceeded. The implementation details installing Docker and deploying applications within containers on the private cloud, then pushing the images
Similar to Docker (20)
Docker Orchestration: Welcome to the Jungle! JavaOne 2015
Docker Orchestration: Welcome to the Jungle! JavaOne 2015
IBM Cloud Paris Meetup - 20180628 - Rex on ODM on Cloud
IBM Cloud Paris Meetup - 20180628 - Rex on ODM on Cloud
Docker Orchestration: Welcome to the Jungle! Devoxx & Docker Meetup Tour Nov ...
Docker Orchestration: Welcome to the Jungle! Devoxx & Docker Meetup Tour Nov ...
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...
Use Docker to Deliver Cognitive Services Running Cross Platform and Multi Clo...
Deploying deep learning models with Docker and Kubernetes
Deploying deep learning models with Docker and Kubernetes
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
Practical Docker for OpenStack - NYC / PHL OpenStack meetup (4-23-2014)
Continuous Delivery of Cloud Applications with Docker Containers and IBM Bluemix
Continuous Delivery of Cloud Applications with Docker Containers and IBM Bluemix
ContainerDayVietnam2016: Dockerize a small business
ContainerDayVietnam2016: Dockerize a small business
Recently uploaded
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Recently uploaded (20)
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Docker
- 3. what’s docker Smartsquare GmbH lightweight container virtualization
- 4. Smartsquare GmbH virtual machines docker what’s docker
- 5. Smartsquare GmbH virtual machines docker what’s docker • economical use of resources • short start-up time • deployment in "the cloud" (e.g. AWS) • high automation capabilities • applications not running on Linux • strict isolation of images
- 7. Smartsquare GmbH how does docker work go union fs libcontainer
- 8. Smartsquare GmbH how does docker work
- 9. Smartsquare GmbH how does docker work
- 12. Smartsquare GmbH in action build pipeline maven jenkins docker registry scripts
- 13. Smartsquare GmbH Postgres Masterdata Management Processing Engine input output what’s in our build pipeline
- 14. Smartsquare GmbH functional tests push imagesdelete images build images start images stop container run tests
- 17. Smartsquare GmbH bibliography [1] http://www.docker.com [2] https://gesellix.github.io/gradle-summit-2014/?full#docker-images [3] https://linuxcontainers.org/ [4] http://www.unionfs.org/ [5] http://www.linux-magazin.de/NEWS/Docker-0.9-ersetzt-LXC