This document provides instructions on various Docker commands and concepts. It begins with definitions of Docker and the differences between VMs and Docker containers. It then covers topics like installing Docker, finding Docker images and versions, building images with Dockerfiles, running containers with commands like docker run, and managing images and containers.
Docker is an open platform for building, shipping and running containers. It provides lightweight virtualization that allows applications to run reliably from one computing environment to another. Some key benefits of Docker include guaranteed consistency through isolation of applications and their dependencies into lightweight executable packages called containers.
Docker introduction.
References : The Docker Book : Containerization is the new virtualization
http://www.amazon.in/Docker-Book-Containerization-new-virtualization-ebook/dp/B00LRROTI4/ref=sr_1_1?ie=UTF8&qid=1422003961&sr=8-1&keywords=docker+book
containers and virtualization tools ( Docker )Imo Inyang
This document provides an overview of containers and virtualization tools like Docker. It defines key concepts like virtual machines (VMs), hypervisors, and containers. It explains that VMs emulate real hardware while containers abstract the operating system to increase efficiency. Docker is introduced as an open-source container platform that builds on Linux features for speed and modularity. Instructions are provided on installing Docker and using common Docker commands to build, run, and manage containerized applications.
1. Create a Dockerfile that defines the base image, installs Nginx and any modules, and exposes ports 80 and 443.
2. Build the image from the Dockerfile using "docker build ."
3. Run a container from the new image and publish the ports so Nginx is accessible.
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.
This document discusses optimizing Docker images by minimizing image size, leveraging the image cache, and using Dockerfile best practices. It covers topics like using layers to reduce duplication, cleaning up unnecessary files, combining commands to reduce layers, and leveraging the image cache for faster builds. Additional tools like dockerfile-from-image and image-graph are also mentioned.
The document discusses Dockerfiles, which are used to build Docker images. A Dockerfile contains instructions like FROM, RUN, COPY, and CMD to set the base image, install dependencies, add files, and define the main process. Images are read-only layers built using these instructions. Dockerfiles can be built locally into images and published to repositories for sharing. Volumes are used to persist data outside the container.
We created a Redis container from the Redis image and ran it in detached mode. We then ran another container interactively to connect to the Redis server using the host IP and exposed port. Docker creates containers with isolated filesystems, network stacks, and process spaces from images. When a container starts, Docker joins the container process to the necessary namespaces to isolate it and sets up the network and filesystem.
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.
Docker is a platform for building, shipping and running applications. It provides lightweight virtual containers that allow applications to run consistently regardless of environment. Key Docker concepts include images, containers, Docker Engine and tools like Docker Compose and Docker Machine. The document then provides steps for setting up WordPress and Laravel projects using Docker, including using Docker Compose to define services and Docker Machine to provision and manage Docker hosts.
Shipping Applications to Production in Containers with DockerJérôme Petazzoni
This document provides an overview and introduction to using Docker in production environments. It discusses how Docker can help with "solved" problems like installing, building, and distributing applications. It also covers important areas for production Docker usage, such as service discovery, orchestration, performance, configuration management, and sysadmin tasks. The document outlines various approaches in each area and notes that there are often multiple valid solutions to consider.
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 a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.
Docker is an open source containerization platform that allows applications to be easily deployed and run across various operating systems and cloud environments. It allows applications and their dependencies to be packaged into standardized executable units called containers that can be run anywhere. Containers are more portable and provide better isolation than virtual machines, making them useful for microservices architecture, continuous integration/deployment, and cloud-native applications.
Introduction to docker. Docker is open source framework that provides "container virtualization". This does not need hypervisor rather works directly with Kernel. It needs x64 Linux and kernel 3.8+ to provide virtualization
This document provides an overview of Docker for developers. It discusses Docker's capabilities for solving portability issues, its advantages over traditional virtualization through operating system-level virtualization using containers that share the same kernel, and how it addresses challenges like slow development times and inefficient resource usage. It also covers Docker concepts like images, containers, registries, networking, security best practices using tools like Docker Bench Security, and cluster management using Docker Swarm.
Docker can be used to containerize applications. It provides lightweight containers that bundle code and dependencies together. Some key Docker concepts include images, which are executable packages, and containers, which are runtime instances of images. Containers are more portable and lightweight than virtual machines. The document provides an introduction to Docker and demonstrates some basic Docker commands like running a container from an image, building an image, committing changes to a new image, and managing containers.
This document summarizes a Docker meetup event in Puebla, Mexico celebrating the 4th anniversary of Docker. The meetup included talks about Docker platform and hands-on labs. Ramon Morales gave a presentation about Docker and its components including images, containers, registries, and Docker Engine. He explained how Docker works and potential use cases. The event aimed to educate the local developer community about Docker and encourage participation in the global Docker community.
This document provides instructions on installing and using Docker on Linux (Ubuntu) and Windows. It discusses installing Docker on Ubuntu, basic Docker commands like images, ps, pull, run options for ports, volumes, and other commands. For Windows, it recommends using Docker Toolbox which includes Docker Machine, Engine, Compose and Kitematic GUI. It also covers installing the newer Docker for Windows which requires Windows 10 Pro/Enterprise with Hyper-V enabled.
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
The document provides an overview of Docker fundamentals, including an introduction to Docker and containerization, how to install Docker on various platforms, and how to use basic Docker commands to run containers from images. It covers topics such as Docker architecture, images vs containers, managing containers, networking, Docker Compose, and how Docker is implemented using Linux kernel features like namespaces and cgroups.
Architecting .NET Applications for Docker and Container Based DeploymentsBen Hall
This document discusses using Docker containers to deploy .NET applications. It covers running a basic ASP.NET application in a Docker container, linking multiple containers together, and using tools like Docker Gen and Consul for service discovery. It also explores possibilities for the future like running SQL Server and Visual Studio in containers, and how Docker can help close the gap between development and production. The overall message is that Docker is a useful tool for deploying many types of applications, including those built on .NET.
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12dotCloud
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
An overview of Docker and Linux containers. There are three parts:
An introduction to Docker and containers
A demo that the audience can try out
An overview of the various vendors and groups in this space
The demo is meant to be a simple, step-by-step recipe that introduces the basic commands and ends by spinning up a node.js app using two linked containers: node and redis.
The final section explores the companies and groups that are working on containers, either complementing Docker's contributions or in direct competition with them.
We created a Redis container from the Redis image and ran it in detached mode. We then ran another container interactively to connect to the Redis server using the host IP and exposed port. Docker creates containers with isolated filesystems, network stacks, and process spaces from images. When a container starts, Docker joins the container process to the necessary namespaces to isolate it and sets up the network and filesystem.
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.
Docker is a platform for building, shipping and running applications. It provides lightweight virtual containers that allow applications to run consistently regardless of environment. Key Docker concepts include images, containers, Docker Engine and tools like Docker Compose and Docker Machine. The document then provides steps for setting up WordPress and Laravel projects using Docker, including using Docker Compose to define services and Docker Machine to provision and manage Docker hosts.
Shipping Applications to Production in Containers with DockerJérôme Petazzoni
This document provides an overview and introduction to using Docker in production environments. It discusses how Docker can help with "solved" problems like installing, building, and distributing applications. It also covers important areas for production Docker usage, such as service discovery, orchestration, performance, configuration management, and sysadmin tasks. The document outlines various approaches in each area and notes that there are often multiple valid solutions to consider.
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 a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.
Docker is an open source containerization platform that allows applications to be easily deployed and run across various operating systems and cloud environments. It allows applications and their dependencies to be packaged into standardized executable units called containers that can be run anywhere. Containers are more portable and provide better isolation than virtual machines, making them useful for microservices architecture, continuous integration/deployment, and cloud-native applications.
Introduction to docker. Docker is open source framework that provides "container virtualization". This does not need hypervisor rather works directly with Kernel. It needs x64 Linux and kernel 3.8+ to provide virtualization
This document provides an overview of Docker for developers. It discusses Docker's capabilities for solving portability issues, its advantages over traditional virtualization through operating system-level virtualization using containers that share the same kernel, and how it addresses challenges like slow development times and inefficient resource usage. It also covers Docker concepts like images, containers, registries, networking, security best practices using tools like Docker Bench Security, and cluster management using Docker Swarm.
Docker can be used to containerize applications. It provides lightweight containers that bundle code and dependencies together. Some key Docker concepts include images, which are executable packages, and containers, which are runtime instances of images. Containers are more portable and lightweight than virtual machines. The document provides an introduction to Docker and demonstrates some basic Docker commands like running a container from an image, building an image, committing changes to a new image, and managing containers.
This document summarizes a Docker meetup event in Puebla, Mexico celebrating the 4th anniversary of Docker. The meetup included talks about Docker platform and hands-on labs. Ramon Morales gave a presentation about Docker and its components including images, containers, registries, and Docker Engine. He explained how Docker works and potential use cases. The event aimed to educate the local developer community about Docker and encourage participation in the global Docker community.
This document provides instructions on installing and using Docker on Linux (Ubuntu) and Windows. It discusses installing Docker on Ubuntu, basic Docker commands like images, ps, pull, run options for ports, volumes, and other commands. For Windows, it recommends using Docker Toolbox which includes Docker Machine, Engine, Compose and Kitematic GUI. It also covers installing the newer Docker for Windows which requires Windows 10 Pro/Enterprise with Hyper-V enabled.
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
The document provides an overview of Docker fundamentals, including an introduction to Docker and containerization, how to install Docker on various platforms, and how to use basic Docker commands to run containers from images. It covers topics such as Docker architecture, images vs containers, managing containers, networking, Docker Compose, and how Docker is implemented using Linux kernel features like namespaces and cgroups.
Architecting .NET Applications for Docker and Container Based DeploymentsBen Hall
This document discusses using Docker containers to deploy .NET applications. It covers running a basic ASP.NET application in a Docker container, linking multiple containers together, and using tools like Docker Gen and Consul for service discovery. It also explores possibilities for the future like running SQL Server and Visual Studio in containers, and how Docker can help close the gap between development and production. The overall message is that Docker is a useful tool for deploying many types of applications, including those built on .NET.
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12dotCloud
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
An overview of Docker and Linux containers. There are three parts:
An introduction to Docker and containers
A demo that the audience can try out
An overview of the various vendors and groups in this space
The demo is meant to be a simple, step-by-step recipe that introduces the basic commands and ends by spinning up a node.js app using two linked containers: node and redis.
The final section explores the companies and groups that are working on containers, either complementing Docker's contributions or in direct competition with them.
The document provides an introduction to containerization using Docker. It discusses problems with traditional infrastructure approaches, such as time-consuming installation/configuration, inconsistencies across environments, and operational support challenges. Docker addresses these issues by allowing applications and their dependencies to run in isolated containers that are portable and share resources efficiently. Key Docker concepts are then explained, including images, containers, registries, networking, and common commands. The document demonstrates how to install Docker and run basic operations like pulling, running, and inspecting containers.
This presentation gives a brief understanding of docker architecture, explains what docker is not, followed by a description of basic commands and explains CD/CI as an application of docker.
Docker Kubernetes Istio
Understanding Docker and creating containers.
Container Orchestration based on Kubernetes
Blue Green Deployment, AB Testing, Canary Deployment, Traffic Rules based on Istio
Docker provides a new, powerful way of prototyping, testing and deploying applications on cloud-based infrastructures. In this seminar we delve into the concept of Docker containers without requiring any previous knowledge from the audience.
What is this Docker and Microservice thing that everyone is talking about? A primer to Docker and Microservice and how the two concepts complement each other.
This document discusses using Docker for development and delivery environments. It begins with an introduction to Docker, explaining that it is an open platform for building, shipping and running distributed applications using lightweight containers. It then covers benefits of Docker like portability and reduced dependencies compared to traditional VMs. The document shows how to install and configure Docker, build Docker images from Dockerfiles, run containers from images using docker-compose, modify images and redeploy them. It also discusses using Docker to build microservices applications with independent, upgradeable services in separate containers.
Docker for Developers talk from the San Antonio Web Dev Meetup in Aug 2023
Never used Docker? This is perfect for you!
New to Docker? You'll learn something for sure!
Links included for all slides, code, and examples
Go from no Docker experience to a fully running web app in one slide deck!
Slides I presented during the Docker 101 Hands-on lab at JavaOne 2017.
Lab steps are available here: https://github.com/ericsmalling/docker101-linux
Originally Presented at WebSummit 2015. Find all the materials for the workshop here: https://github.com/emccode/training/tree/master/docker-workshop/websummit
Docker is an open source containerization platform that allows users to package applications and their dependencies into standardized executable units called containers. Docker relies on features of the Linux kernel like namespaces and cgroups to provide operating-system-level virtualization and allow containers to run isolated on a shared kernel. This makes Docker highly portable and allows applications to run consistently regardless of the underlying infrastructure. Docker uses a client-server architecture where the Docker Engine runs in the cloud or on-premises and clients interact with it via Docker APIs or the command line. Common commands include build to create images from Dockerfiles, run to launch containers, and push/pull to distribute images to registries. Docker is often used for microservices and multi-container
1) The document provides an introduction and agenda for a presentation on Docker, including definitions of key Docker concepts like containers, images, and architecture.
2) It explains the difference between virtualization and containerization, and why Docker is useful for building and shipping applications.
3) The presentation will demonstrate how to dockerize a project using environment variables, volume mounting, and commands like build, run, and stop.
ContainerDayVietnam2016: Dockerize a small businessDocker-Hanoi
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.
This document provides an introduction and overview of Docker including:
- Docker allows packaging applications with dependencies to create standardized units for software development and deployment called containers.
- Key Docker concepts include images, which are templates for creating containers, and containers which are runtime instances of images that execute applications.
- Basic Docker commands are demonstrated for pulling images, running containers, building images from Dockerfiles, and pushing images to registries.
- Networking, volumes, and Docker Compose/stacks for defining and running multi-container applications are also introduced.
Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. This is a first introduction to Docker, Dockerfile and docker-compose with relative basic commands.
The Docker Toolbox installs several components to allow users to run Docker on their Mac systems without running a Linux VM directly. It includes the Docker client, Docker Machine, Docker Compose, Docker Kitematic, and Oracle VirtualBox. Docker Machine is used to create and connect to a lightweight Linux VM hosted by VirtualBox where the Docker daemon runs. This allows users to work with Docker images and containers without having to manage a separate Linux environment.
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
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9. Configuration Management
Remember the exact steps needed for
setup and do it all over again for all of
your servers (a recipe)
Docker/Containers
Set up a container/image just once with all
the necessary configuration, then deploy the
same image to all of your servers (a golden
image)
What’s the difference?
10. Terminology: Images and Containers
Image: A master template for creating Docker
containers, analogous to virtual machine
instances (a “golden image”)
Container: An instance of an image; multiple
containers can be created from a single image.
A container contains isolated processes and
filesystems acting in a similar fashion as virtual
machines; however, a container only includes
the filesystem on top of a shared kernel.
12. Virtual Machines
• Kernel not shared between virtual
machines
• Isolated operating systems
• Long-lasting use
• Slower to get running
• Many startup processes
• A single virtual machine image can be
used for multiple virtual machine
clones
Containers
• Kernel of linux host shared between all
containers
• Isolated processes/filesystems
• Ephemeral/long-lasting usage
• Fast to get running
• One startup process
• A single Docker image can be used for
multiple container instances
What’s the difference? Virtual Machines vs Containers
13. What is Docker used for?
• Ephemeral (temporary) isolated processes (e.g. Codepen, Codeship)
• Short running tasks, maintenance scripts, or worker processes that
receive then process a workload
• Running and deploying stateless applications
• Web frontends and backend APIs
• Running isolated environments with imposed CPU/memory limits
• …and more!
14. This means that containers are
• More lightweight
• Can be started, stopped, and
restarted more quickly
• Easier to migrate
• Easier to communicate
between containers
What’s the difference? Virtual Machines vs Containers
15. Docker Server vs Docker Client
Docker server/daemon:
The docker server/daemon runs containers within as
processes, acting as a virtual bridge to the host operating
system (containers are isolated)
Docker client: The command line interface (CLI) that is
able to connect to the Docker server (specified by the
DOCKER_HOST environmental variable) and tell it what to
do. This can run on your local machine or on the same
host as the Docker server.
22. Installation - Linux
curl -fsSL https://get.docker.com/ | sh
service docker start
Will run a setup script for installing docker
Easy setup
24. Installation - Linux
yum install docker
service docker start
Fedora
curl https://raw.githubusercontent.com/anonmily/scripts/master/docker-setup-yum | bash
Or, just
25. Installation – Non-Linux
• Download and install the Docker
Toolbox
https://www.docker.com/docker-
toolbox
• Open the Docker Quickstart
Terminal
30. Docker Server/CLI
eval $(docker-machine-env host1)
Set environmental variables of CLI to communicate with a host
** If you get a “Cannot connect to the Docker daemon. Is the docker daemon running on this host?” error
when attempting to use the Docker CLI, make sure the environmental variables are set for your Docker host
31. Docker Images
• Docker images are a saved state of the
container. They’re the “golden image” for
your containers, and multiple containers
based off the same mage can be run at
the same time (executing different
commands etc in the same environment if
necessary)
• Image ID = hashed representation of the
image, a unique identifier
• A Dockerfile is a file that describes all the
steps needed to build a Docker image
32. Docker Images
• Images can be tagged with a name
and a version label (e.g.
nginx:latest, ubuntu:14:04)
• Images are stored in and can be
retrieve from Docker Repositories
• Docker Hub: Public repository with
common base images
• Private Registry: Deploy your own
Docker registry
33. Storing Docker Images
• Docker registry: A server that hosts your
Docker images; it acts in a fashion
analogous to repositories in that you can
push and pull images from the registry.
You can use a public registry like Docker
hub, or you can setup your own for private
images.
• Docker Hub: A public Docker registry that
is the default for pulling images. It
provides many common base images such
as Debian, Ubuntu, Fedora, etc.
37. Docker Images
docker pull nginx:latest
Pull/get an image (from Docker Hub)
# login to DockerHub
docker login
# private registry
docker login https://myownregistry.com:5000
Login to a registry
• Docker will save your login credentials in ~/.docker/config.json
docker images
See your downloaded/available images
38. Docker Images
docker build –t webapp1:latest .
Build a new image tagged “webapp1:latest” from a Dockerfile
docker run --name="myapp" -p 80:80 -d nginx:latest nginx
-g "daemon off;"
Run a container from an image
• --name=“myapp” Run a new container called “myapp”
• -p 80:80 Expose port 80 of the host and map it to port 80 of the container
• -d Run daemonized
• nginx:latest Base image
• nginx –g “daemon off;” Command to start the container with
39. Docker Images
docker exec –it nodeapp bash
Execute a command into a container
docker ps # running containers
docker ps –a # all containers
List containers
docker stop nodeapp
Stop container
docker rm nodeapp
Remove container
40. Docker Images
docker save myimage:latest > myimage.tar
Save an image to a tarball
docker import myimage.tar
Import an image from a tarball
docker commit –m “newconfig” mycontainer myimage:latest
Commit/save the current state of a container to the image
41. Docker Images
docker rmi myimage:latest
Remove an image
docker rmi $(docker images –q –f “dangling=true”)
Delete all untagged images
docker rmi $(docker images –q -)
Delete all images on Docker host
42. What is a Dockerfile?
• Instructions for how to build a
Docker image
FROM anonmily/node:latest
MAINTAINER Michelle Liu
<[email protected]>
COPY src/node_modules /src/node_modules
COPY certs /src/certs
EXPOSE 443
WORKDIR /src
ENV PATH /src/bin:$PATH
COPY src/bin /src/bin
COPY src/app /src/app
COPY src/server.js src/app.js
src/package.json Makefile /src/
CMD ["startserver"]
43. Anatomy of a Dockerfile
• FROM what base image to use for the new image
• MAINTAINER who maintains the image
• COPY source destination copy files from the source location to destination
• ENV set environmental variables
• WORKDIR set working directory of the container
• CMD run command
• EXPOSE indicates what ports should be available for exposure
45. Utilizing the Layer Cache
FROM anonmily/node:latest
MAINTAINER Michelle Liu <[email protected]>
COPY src/node_modules /src/node_modules
COPY certs /src/certs
EXPOSE 443
WORKDIR /src
ENV PATH /src/bin:$PATH
COPY src/bin /src/bin
COPY src/app /src/app
COPY src/server.js src/app.js src/package.json
Makefile /src/
CMD ["startserver"]
Least changed
files on top
More
frequently
changed files
on bottom
46. Building the image
# ./bin/buildapi
docker build -t myregistry.com/nodeapi:latest .
# ./bin/pushapi
docker push myregistry.com/nodeapi:latest
47. Updating to a newer image
# ./bin/updatecontainer
docker pull myregistry.com/nodeapi:latest
docker kill nodeapicontainer;
docker rm nodeapicontainer;
docker run --name nodeapi01
-p 443:443
-dit
--env-file /home/production.env
myregistry.com/nodeapi:latest
startserver
48. An easy way to deploy
1. Push the new image up onto the Docker registry (e.g. 1.0.0)
2. From the servers, pull down the new image
3. Kill the currently running container based off the old outdated image
4. Run a new container based off the new image
50. Startserver
#!/bin/bash
pm2 dump
pm2 start /src/server.js -i 0 --name
nodeapi --no-daemon &
If you want to start your container up with more than
one command, use a bash script
51. Docker remote API
An API for the Docker daemon/server that allows you to make requests
to/query the server for creating/editing or for information on
containers/images.
52. Docker remote API
By default, the Docker daemon will run on the unix port at
/var/run/docker.sock. To get started with the Docker remote API, make sure
that you have a cURL version greater than 7.40 so that the –unix-socket
option is available. Then, we can use curl to interact with the remote API by:
curl --unix-socket /var/run/docker.sock http://containers/json
53. Docker remote API
It’s also possible to bind the Docker daemon to a TCP port at startup by:
docker daemon –H tcp://0.0.0.0:2375 –H /var/run/docker.sock
It will then be possible to access the remote API on the host publicly (though
it is a security issue).
curl http://localhost:2375/containers/json