Docker is a system for running applications in isolated containers. It addresses issues with traditional virtual machines by providing lightweight containers that share resources and allow applications to run consistently across different environments. Docker eliminates inconsistencies in development, testing and production environments. It allows applications and their dependencies to be packaged into a standardized unit called a container that can run on any Linux server. This makes applications highly portable and improves efficiency across the entire development lifecycle.
Learn, Collaborate & Dockerize. Docker is an open platform that helps you build, ship and run applications anytime and anywhere.
Join Docker Jaipur:
Docker Page: events.docker.com/jaipur
Telegram Group: t.me/dockerjaipur
Twitter: @JaipurDocker
Learn, Collaborate & Dockerize. Docker is an open platform that helps you build, ship and run applications anytime and anywhere.
Join Docker Jaipur:
Docker Page: events.docker.com/jaipur
Telegram Group: t.me/dockerjaipur
Twitter: @JaipurDocker
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Learn More: http://www.collabnix.com
Docker Tutorial For Beginners | What Is Docker And How It Works? | Docker Tut...Simplilearn
This presentation about Docker tutorial will help you understand what is Docker, advantages of Docker, how does Docker work, components of Docker, virtual machine vs Docker, advanced concepts in Docker, basic Docker commands along with a demo. A Docker is an OS-level virtualization software that enables developers and IT administrators to create, deploy and run applications in a Docker container with all their dependencies. It is said to be a very light-weight software container and containerization platform. Docker engine or Docker is a client-server application that builds and executes using Docker components. Rapid deployment, portability, better efficiency, faster configuration, scalability, security are some of the advantages you get by using Docker.
Below topics are explained in this Docker presentation:
1. Virtual machine vs Docker
2. What is Docker?
3. Advantages of Docker
4. How does Docker work?
5. Components of Docker
6. Advanced concepts in Docker
7. Basic Docker commands
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
This DevOps training course will be of benefit the following professional roles:
1. Software Developers
2. Technical Project Managers
3. Architects
4. Operations Support
5. Deployment engineers
6. IT managers
7. Development managers
You can learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
What is Docker | Docker Tutorial for Beginners | Docker Container | DevOps To...Edureka!
This DevOps Docker Tutorial on what is docker ( Docker Tutorial Blog Series: https://goo.gl/32kupf ) will help you understand how to use Docker Hub, Docker Images, Docker Container & Docker Compose. This tutorial explains Docker's working Architecture and Docker Engine in detail. This Docker tutorial also includes a Hands-On session around Docker by the end of which you will learn to pull a centos Docker Image and spin your own Docker Container. You will also see how to launch multiple docker containers using Docker Compose. Finally, it will also tell you the role Docker plays in the DevOps life-cycle.
The Hands-On session is performed on an Ubuntu-64bit machine in which Docker is installed.
Docker is the world's leading software containerization platform.
This is a comprehensive introduction to Docker, suitable for delivering in introductory meetups to an audience who does not know about docker.
In case you want to deliver this presentation somewhere, kindly drop me a mail at aditya.konarde@gmail.com
You can contact me at:
Connect with me onLinkedIN: https://www.linkedin.com/in/adityakonarde
Add me on Facebook: https://www.facebook.com/Aditya.Konarde
Tweet to me @aditya_konarde
Short Introduction to Docker. These slides show the basic idea behind the container technology Docker. The slides present the basic features for the daily use with Docker, Docker Compose, Docker Machine and Docker Swarm.
Docker is specially important for DevOps, because it gives Software Developers more control about their dependencies in different environments.
Integrating Docker EE into Société Générale's Existing Enterprise IT SystemsDocker, Inc.
Société Générale knows that containers and the cloud are the future of the IT industry and have been using Docker EE for over a year and a half. In this talk, we will share how Docker EE fits into our global strategy and our architecture for integrating the platform to our existing IT systems. We will go over tradeoffs of how we operationalized the platform to provide a highly available CAAS to our global enterprise. Finally, we will share how we are onboarding development teams and deploying their applications to production.
A Gentle Introduction To Docker And All Things ContainersJérôme Petazzoni
Docker is a runtime for Linux Containers. It enables "separation of concern" between devs and ops, and solves the "matrix from hell" of software deployment. This presentation explains it all! It also explains the role of the storage backend and compares the various backends available. It gives multiple recipes to build Docker images, including integration with configuration management software like Chef, Puppet, Salt, Ansible. If you already watched other Docker presentations, this is an actualized version (as of mid-November 2013) of the thing!
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Learn More: http://www.collabnix.com
Docker Tutorial For Beginners | What Is Docker And How It Works? | Docker Tut...Simplilearn
This presentation about Docker tutorial will help you understand what is Docker, advantages of Docker, how does Docker work, components of Docker, virtual machine vs Docker, advanced concepts in Docker, basic Docker commands along with a demo. A Docker is an OS-level virtualization software that enables developers and IT administrators to create, deploy and run applications in a Docker container with all their dependencies. It is said to be a very light-weight software container and containerization platform. Docker engine or Docker is a client-server application that builds and executes using Docker components. Rapid deployment, portability, better efficiency, faster configuration, scalability, security are some of the advantages you get by using Docker.
Below topics are explained in this Docker presentation:
1. Virtual machine vs Docker
2. What is Docker?
3. Advantages of Docker
4. How does Docker work?
5. Components of Docker
6. Advanced concepts in Docker
7. Basic Docker commands
Why learn DevOps?
Simplilearn’s DevOps training course is designed to help you become a DevOps practitioner and apply the latest in DevOps methodology to automate your software development lifecycle right out of the class. You will master configuration management; continuous integration deployment, delivery and monitoring using DevOps tools such as Git, Docker, Jenkins, Puppet and Nagios in a practical, hands-on and interactive approach. The DevOps training course focuses heavily on the use of Docker containers, a technology that is revolutionizing the way apps are deployed in the cloud today and is a critical skillset to master in the cloud age.
After completing the DevOps training course you will achieve hands-on expertise in various aspects of the DevOps delivery model. The practical learning outcomes of this Devops training course are:
An understanding of DevOps and the modern DevOps toolsets
The ability to automate all aspects of a modern code delivery and deployment pipeline using:
1. Source code management tools
2. Build tools
3. Test automation tools
4. Containerization through Docker
5. Configuration management tools
6. Monitoring tools
Who should take this course?
DevOps career opportunities are thriving worldwide. DevOps was featured as one of the 11 best jobs in America for 2017, according to CBS News, and data from Payscale.com shows that DevOps Managers earn as much as $122,234 per year, with DevOps engineers making as much as $151,461. DevOps jobs are the third-highest tech role ranked by employer demand on Indeed.com but have the second-highest talent deficit.
This DevOps training course will be of benefit the following professional roles:
1. Software Developers
2. Technical Project Managers
3. Architects
4. Operations Support
5. Deployment engineers
6. IT managers
7. Development managers
You can learn more at https://www.simplilearn.com/cloud-computing/devops-practitioner-certification-training
What is Docker | Docker Tutorial for Beginners | Docker Container | DevOps To...Edureka!
This DevOps Docker Tutorial on what is docker ( Docker Tutorial Blog Series: https://goo.gl/32kupf ) will help you understand how to use Docker Hub, Docker Images, Docker Container & Docker Compose. This tutorial explains Docker's working Architecture and Docker Engine in detail. This Docker tutorial also includes a Hands-On session around Docker by the end of which you will learn to pull a centos Docker Image and spin your own Docker Container. You will also see how to launch multiple docker containers using Docker Compose. Finally, it will also tell you the role Docker plays in the DevOps life-cycle.
The Hands-On session is performed on an Ubuntu-64bit machine in which Docker is installed.
Docker is the world's leading software containerization platform.
This is a comprehensive introduction to Docker, suitable for delivering in introductory meetups to an audience who does not know about docker.
In case you want to deliver this presentation somewhere, kindly drop me a mail at aditya.konarde@gmail.com
You can contact me at:
Connect with me onLinkedIN: https://www.linkedin.com/in/adityakonarde
Add me on Facebook: https://www.facebook.com/Aditya.Konarde
Tweet to me @aditya_konarde
Short Introduction to Docker. These slides show the basic idea behind the container technology Docker. The slides present the basic features for the daily use with Docker, Docker Compose, Docker Machine and Docker Swarm.
Docker is specially important for DevOps, because it gives Software Developers more control about their dependencies in different environments.
Integrating Docker EE into Société Générale's Existing Enterprise IT SystemsDocker, Inc.
Société Générale knows that containers and the cloud are the future of the IT industry and have been using Docker EE for over a year and a half. In this talk, we will share how Docker EE fits into our global strategy and our architecture for integrating the platform to our existing IT systems. We will go over tradeoffs of how we operationalized the platform to provide a highly available CAAS to our global enterprise. Finally, we will share how we are onboarding development teams and deploying their applications to production.
A Gentle Introduction To Docker And All Things ContainersJérôme Petazzoni
Docker is a runtime for Linux Containers. It enables "separation of concern" between devs and ops, and solves the "matrix from hell" of software deployment. This presentation explains it all! It also explains the role of the storage backend and compares the various backends available. It gives multiple recipes to build Docker images, including integration with configuration management software like Chef, Puppet, Salt, Ansible. If you already watched other Docker presentations, this is an actualized version (as of mid-November 2013) of the thing!
Docker Birthday #3 - Intro to Docker SlidesDocker, Inc.
High level overview of Docker + Birthday #3 overview (app and challenge portion)!
Learn more about Docker Birthday #3 celebrations here: https://www.docker.com/community/docker-birthday-3
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Presentation for Leading Effective Global Teams MBA 6011.
What technology is available which allows Global Virtual teams to improve their productivity?
A cluster is a type of parallel or distributed computer system, which consists of a collection of inter-connected stand-alone computers working together as a single integrated computing resource.
This is the presentation on clusters computing which includes information from other sources too including my own research and edition. I hope this will help everyone who required to know on this topic.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Anatomy of a Container: Namespaces, cgroups & Some Filesystem Magic - LinuxConJérôme Petazzoni
Containers are everywhere. But what exactly is a container? What are they made from? What's the difference between LXC, butts-nspawn, Docker, and the other container systems out there? And why should we bother about specific filesystems?
In this talk, Jérôme will show the individual roles and behaviors of the components making up a container: namespaces, control groups, and copy-on-write systems. Then, he will use them to assemble a container from scratch, and highlight the differences (and likelinesses) with existing container systems.
Docker and Go: why did we decide to write Docker in Go?Jérôme Petazzoni
Docker is currently one of the most popular Go projects. After a (quick) Docker intro, we will discuss why we picked Go, and how it turned out for us.
We tried to list all the drawbacks and minor inconveniences that we met while developing Docker; not to complain about Go, but to give the audience an idea of what to expect. Depending on your project, those drawbacks could be minor inconveniences or showstoppers; we thought you would want to know about them to help you to make the right choice!
Introduction to PaaS and demos on Cloud Foundry from a DevOps point of view.
Presented at the Singapore DevOps meetup of Sept 2012:
http://www.meetup.com/devops-singapore/events/80016202/
The challenge of application distribution - Introduction to Docker (2014 dec ...Sébastien Portebois
Live recording with the demos: https://www.youtube.com/watch?v=0XRcmJEiZOM
Contents
- The application distribution challenge
- The current solutions
- Introduction to Docker, Containers, and the Matrix from Hell
- Why people care: Separation of Concerns
- Technical Discussion
- Ecosystem, momentum
- How to build Docker images
- How to make containers talk to each other, how to handle data persistence
- Demo 1: isolation
- Demo 2: real case - installing Go Math! Academy, tail –f containers, unit tests
OpenStack, Containers, and Docker: The Future of Application Deployment
Twenty years ago, developers built static applications on well-defined stacks that ran on proprietary, monolithic hardware. Developers today want freedom to build applications using their choice of services and stacks and, ideally, want to be able to run those applications on any available hardware. Of course, this raises questions about service interaction, the practicality of migrating applications across environments, and the challenges of managing unlimited combinations of services and hardware environment.
By promoting an opensource approach to flexible and inter-operable infrastructure, OpenStack goes a long way towards achieving this vision of the future. This talk discusses the application and platform side of the equation, and the interplay between OpenStack, Container technology (e.g. LXC), and the opensource Docker.io project. Docker.io enables any application and its dependencies to be deployed as lightweight containers that run consistently virtually anywhere. The same containerized application that runs on a developer's laptop can run consistently on a bare metal server, an OpenStack cluster, a Rackspace cloud, a VM,etc. While providing isolation and compatibility, containers have significant size, performance, and deployment advantages over traditional VMs.
Recently, the community created an integration between Docker and OpenStack Nova, opening up exciting possibilities for web scale application deployment, continuous integration and deployment, private PaaS, and hybrid cloud. This session will give an introduction to Docker and containers in the context of OpenStack, and will then demonstrate cross-environment deployment of applications.
Docker is a tool designed to make it easier to create, deploy, and run applications
by using containers. Containers allow a developer to package up
an application with all of the parts it needs, such as libraries and other dependencies,
and ship it all out as one package. By doing so, thanks to the
container, the developer can rest assured that the application will run on
any other Linux machine regardless of any customized settings that machine
might have that could differ from the machine used for writing and testing
the code.
In a way, Docker is a bit like a virtual machine. But unlike a virtual
machine, rather than creating a whole virtual operating system, Docker allows
applications to use the same Linux kernel as the system that they’re
running on and only requires applications be shipped with things not already
running on the host computer. This gives a significant performance boost
and reduces the size of the application.
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Docker is the developer-friendly container technology that enables creation of your application stack: OS, JVM, app server, app, database and all your custom configuration. So you are a Java developer but how comfortable are you and your team taking Docker from development to production? Are you hearing developers say, “But it works on my machine!” when code breaks in production? And if you are, how many hours are then spent standing up an accurate test environment to research and fix the bug that caused the problem?
This workshop/session explains how to package, deploy, and scale Java applications using Docker.
Deploying containers and managing them on multiple Docker hosts, Docker Meetu...dotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to Docker and all things containers, Docker Meetup at RelateIQdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to dockerfile, SF Peninsula Software Development Meetup @Guidewire dotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to Docker at SF Peninsula Software Development Meetup @GuidewiredotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Dockerizing stashboard - Docker meetup at TwiliodotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Dockerizing your applications - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Docker links | Docker workshop #2 at TwitterdotCloud
Presentation of Docker links at the Docker workshop #1 at Twitter, by Michael Crosby.
Code + example can be found here: https://github.com/crosbymichael/docker-links-backbone-todo
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Contents
• Introduction to Docker, Containers, and the Matrix from Hell
• Why people care: Separation of Concerns
• Technical Discussion
• Ecosystem
• Use Cases
• Docker Futures
• Advanced topics: Networking, Data
• OpenStack
• Learn More
3. In the 8 months since we launched
•
•
•
•
>200,000 pulls
>7,500 github stars
>200 significant contributors
>200 projects built on top of docker
• UIs, mini-PaaS, Remote Desktop….
• 1000’s of Dockerized applications
• Memcached, Redis, Node.js…and Hadoop
• Integration in
Jenkins, Travis, Chef, Puppet, Vagrant
and OpenStack
• Meetups arranged around the
world…with organizations like
Ebay, Cloudflare, Yandex, and
Rackspace presenting on their use of
Docker
5. User DB
Static website
postgresql + pgv8 + v8
nginx 1.5 + modsecurity + openssl + bootstrap 2
Background workers
Python 3.0 + celery + pyredis + libcurl + ffmpeg + libopencv + nodejs +
phantomjs
Queue
Analytics DB
Redis + redis-sentinel
hadoop + hive + thrift + OpenJDK
Web frontend
Ruby + Rails + sass + Unicorn
API endpoint
Do services and apps
interact
appropriately?
Multiplicity of Stacks
The Challenge
Development VM
Production Cluster
Public Cloud
QA server
Disaster recovery
Contributor’s laptop
Customer Data Center
Production Servers
Can I migrate
smoothly and
quickly?
Multiplicity of
hardware
environments
Python 2.7 + Flask + pyredis + celery + psycopg + postgresql-client
6. The Matrix From Hell
Static website
?
?
?
?
?
?
?
Web frontend
?
?
?
?
?
?
?
Background workers
?
?
?
?
?
?
?
User DB
?
?
?
?
?
?
?
Analytics DB
?
?
?
?
?
?
?
Queue
?
?
?
?
?
?
?
Development
VM
QA Server
Single Prod
Server
Onsite
Cluster
Public Cloud
Contributor’s
laptop
Customer
Servers
7. Multiplicity of Goods
Do I worry about
how goods interact
(e.g. coffee beans
next to spices)
Can I transport quickly
and smoothly
(e.g. from boat to train
to truck)
Multipilicity of
methods for
transporting/storing
Cargo Transport Pre-1960
9. A standard container that is
loaded with virtually any
goods, and stays sealed until
it reaches final delivery.
…in between, can be loaded and
unloaded, stacked, transported
efficiently over long distances,
and transferred from one mode
of transport to another
Can I transport
quickly and smoothly
(e.g. from boat to
train to truck)
Multiplicity of
methods for
transporting/storing
Do I worry about
how goods interact
(e.g. coffee beans
next to spices)
Multiplicity of Goods
Solution: Intermodal Shipping Container
10. Static website
User DB
Web frontend
Queue
Analytics DB
An engine that enables any
payload to be encapsulated
as a lightweight, portable,
self-sufficient container…
Multiplicity of
hardware
environments
Development
VM
QA server
Customer Data
Center
Public Cloud
Production
Cluster
Contributor’s
laptop
Can I migrate
smoothly and quickly
…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform
Do services and apps
interact
appropriately?
Multiplicity of Stacks
Docker is a shipping container system for
code
11. Docker eliminates the matrix from Hell
Static website
Web frontend
Background workers
User DB
Analytics DB
Queue
Development
VM
QA Server
Single Prod
Server
Onsite
Cluster
Public Cloud
Contributor’s
laptop
Customer
Servers
12. Why Developers Care
• Build once…(finally) run anywhere*
• A clean, safe, hygienic and portable runtime environment for your app.
• No worries about missing dependencies, packages and other pain points during
subsequent deployments.
• Run each app in its own isolated container, so you can run various versions of libraries
and other dependencies for each app without worrying
• Automate testing, integration, packaging…anything you can script
• Reduce/eliminate concerns about compatibility on different platforms, either your own or
your customers.
• Cheap, zero-penalty containers to deploy services? A VM without the overhead of a VM?
Instant replay and reset of image snapshots? That’s the power of Docker
* With the 0.7 release, we support any x86 server running a modern Linux kernel (3.2+ generally. 2.6.32+ for RHEL 6.5+,
Fedora, & related)
13. Why Devops Cares?
• Configure once…run anything
• 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
14. Why it works—separation of concerns
• Dan the Developer
•
Worries about what’s ―inside‖ the
container
•
His Apps
•
•
His Package Manager
•
His Data
All Linux servers look the same
Worries about what’s ―outside‖
the container
•
•
•
•
His Libraries
•
•
His code
•
• Oscar the Ops Guy
•
Logging
Remote access
Monitoring
Network config
All containers start, stop, copy,
attach, migrate, etc. the same
way
15. More technical explanation
WHY
• Run everywhere
• Regardless of kernel version
(2.6.32+)
• Regardless of host distro
• Physical or virtual, cloud or not
• Container and host architecture
must match*
• Run anything
• If it can run on the host, it can
run in the container
• i.e. if it can run on a Linux
kernel, it can run
WHAT
• High Level—It’s a lightweight VM
•
•
•
•
Own process space
Own network interface
Can run stuff as root
Can have its own /sbin/init
(different from host)
• <<machine container>>
• Low Level—It’s chroot on
steroids
• Can also not have its own
/sbin/init
• Container=isolated processes
• Share kernel with host
• No device emulation (neither
HVM nor PV) from host)
• <<application container>>
17. Why are Docker containers lightweight?
VMs
Bins/
Libs
Bins/
Libs
Bins/
Libs
Guest
OS
Guest
OS
Guest
OS
Bins/
Libs
Original App
(No OS to take
up space, resources,
or require restart)
VMs
Every app, every copy of an
app, and every slight modification
of the app requires a new virtual server
App Δ
App
A
App
A
App
A
Bins/
App
A’
App
A
Guest
OS
Containers
Copy of
App
No OS. Can
Share bins/libs
Modified App
Copy on write
capabilities allow
us to only save the diffs
Between container A
and container
A’
18. What are the basics of the Docker system?
Container A
Push
Docker
Container
Image
Registry
Search
Run
Build
Dockerfile
For
A
Docker
Container C
Host 1 OS (Linux)
Container B
Docker Engine
Container A
Source
Code
Repository
Pull
Host 2 OS (Linux)
19. Changes and Updates
Push
App Δ
App
A
Bins/
Bins/
Libs
Docker
Container
Image
Registry
Container
Mod A’
Container
Mod A’’
App Δ
Base
Container
Image
Bins/
Libs
Bins/
App
A
Bins/
Libs
Bins/
App
A’’
Update
Docker Engine
Host is now running A’’
Docker Engine
Host running A wants to upgrade to A’’.
Requests update. Gets only diffs
20. Ecosystem Support
•
Operating systems
•
•
•
•
OpenStack
•
•
Integrations with Chef, Puppet, Jenkins, Travis, Salt, Ansible +++
Orchestration tools
•
•
•
Native support in Rackspace, Digital Ocean,+++
AMI (or equivalent) available for AWS & other
DevOps Tools
•
•
Deis, Voxoz, Cocaine (Yandex), Baidu PaaS
Public IaaS
•
•
•
OpenShift
Solum (Rackspace, OpenStack)
Other TBA
Public PaaS
•
•
Docker integration into NOVA (& compatibility with Glance, Horizon, etc.) accepted for Havana release
Private PaaS
•
•
•
•
Virtually any distribution with a 2.6.32+ kernel
Red Hat/Docker collaboration to make work across RHEL 6.4+, Fedora, and other members of the family (2.6.32 +)
CoreOS—Small core OS purpose built with Docker
Mesos, Heat, ++
Shipyard & others purpose built for Docker
Applications
•
1000’s of Dockerized applications available at index.docker.io
21. Use Cases
• Ted Dziuba on the Use of Docker for Continuous Integration at Ebay Now
• https://speakerdeck.com/teddziuba/docker-at-ebay
• http://www.youtube.com/watch?feature=player_embedded&v=0Hi0W4gX--4
• Sasha Klizhentas on use of Docker at Mailgun/Rackspace
• http://www.youtube.com/watch?feature=player_embedded&v=CMC3xdAo9RI
• Sebastien Pahl on use of Docker at CloudFlare
• http://www.youtube.com/watch?feature=player_embedded&v=-Lj3jt_-3r0
• Cambridge HealthCare
• http://blog.howareyou.com/post/62157486858/continuous-delivery-with-docker-and-jenkinspart-i
• Red Hat Openshift and Docker
• https://www.openshift.com/blogs/technical-thoughts-on-openshift-and-docker
22. Use Cases—From Our Community
Use Case
Clusters
Examples
Building a MongoDB cluster using docker
Link
http://bit.ly/1acbjZf
Build your own PaaS
Production Quality MongoDB Setup with Docker
Wildfly cluster using Docker on Fedora
OpenSource PaaS built on Docker, Chef, and Heroku Buildpacks
http://bit.ly/15CaiHb
http://bit.ly/1bClX0O
http://deis.io
Web Based
Environment for
Instruction
JiffyLab – web based environment for the instruction, or lightweight use of, Python
and UNIX shell
http://bit.ly/12oaj2K
Easy Application
Deployment
Deploy Java Apps With Docker = Awesome
How to put your development environment on docker
Running Drupal on Docker
Installing Redis on Docker
Docker makes creating secure sandboxes easier than ever
http://bit.ly/11BCvvu
http://bit.ly/1b4XtJ3
http://bit.ly/15MJS6B
http://bit.ly/16EWOKh
http://bit.ly/13mZGJH
Memcached as a Service
Multi-cloud Deployment with Docker
http://bit.ly/11nL8vh
http://bit.ly/1bF3CN6
Next Generation Continuous Integration & Deployment with dotCloud’s Docker and
Strider
Testing Salt States Rapidly With Docker
http://bit.ly/ZwTfoy
Docker Desktop: Your Desktop Over SSH Running Inside Of A Docker Container
http://bit.ly/14RYL6x
Create Secure
Sandboxes
Create your own SaaS
Automated Application
Deployment
Continuous Integration
and Deployment
Lightweight Desktop
Virtualization
http://bit.ly/1eFBtcm
23. Docker Futures*
• Docker 0.7 (current release)
•
•
•
•
LXC
Docker 0.1-0.6
AUFS
Docker
0.8+
Fedora compatibility
Reduce kernel dependencies
Device mapper
Container linking
• Docker 0.8 (Dec)
•
•
•
•
•
Shrink and stabilize Core
Provide stable, pluggable API
RHEL compatibility
Nested containers
Beam: Introspection API based on
Redis
• expand snapshot management features
for data volumes
• We will consider this ―production ready‖
• Docker 0.9 (Jan)
• Docker 1.0 (Feb)
• We will offer support for this product
* We shoot for time based releases (1x/5wks), features are targeted, but not guaranteed for particular releases
24. Advanced topics
• Data
•
Today: Externally mounted volumes
•
•
Share volumes between containers
Share volume between a containers and underlying hosts
•
•
•
•
•
high-performance storage backend for your production database
making live development changes available to a container, etc.
Optional: specify memory limit for containers, CPU priority
Device mapper/ LVM snapshots in 0.7
Futures:
•
•
•
•
I/O limits
Container resource monitoring (CPU & memory usage)
Orchestration (linking & synchronization between containers)
Cluster orchestration (multi-host environment)
• Networking
•
Supported today:
•
UDP/TCP port allocation to containers
•
•
•
IP allocation to containers
•
•
specify which public port to redirect. If you don’t specify a public port, Docker will revert to allocating a random public port.
Docker uses IPtables/netfilter
Docker uses virtual interfaces, network bridge,
Futures:
•
•
•
See Pipework (Upstream) : Software-Defined Networking for Linux Containers (https://github.com/jpetazzo/pipework)
Certain pipework concepts will move from upstream to part of core Docker
Additional capabilities come with libvirt support in 0.8-0.9 timeframe
26. Why Docker + OpenStack
• Alternative to VMs within OpenStack-today
• Easier deployment of OpenStack itself-near future
• Cross cloud application deployment
• At OpenStack Summit we will show:
• Building and testing an application from source
• Running on a laptop
• Running it, without modification or noticeable downtime, on a public
cloud
• Running it, without modification or noticeable downtime, on an
openstack cluster
• Doing all of the above using Nova, Glance and Horizon
• Containers orchestration with OpenStack Heat (Demo at
summit)
27. Why a new hypervisor?
• Nova a computing controller for OpenStack
• Nova support for containers is minimal (via LibVirt)
• Enables control of Docker through OpenStack projects (ex:
deploy containers via Horizon Web UI)