This document provides an introduction to Docker, including:
- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
- The Docker architecture includes images which are templates for creating containers, a Dockerfile to automate image builds, and Docker Hub for sharing images.
- Kubernetes is an open-source platform for automating deployment and management of containerized applications across clusters of hosts.
Docker is an open platform for developing, shipping, and running applications. It allows packaging applications into standardized units for software called containers that can run on any infrastructure. The key components of Docker include images, containers, a client-server architecture using Docker Engine, and registries for storing images. Images act as templates for creating containers, which are run-time instances of images. Docker provides portability and isolation of applications using containers.
Docker allows building, shipping, and running applications in portable containers. It packages an application with all its dependencies into a standardized unit for software development. Major cloud providers and companies support and use Docker in production. Containers are more lightweight and efficient than virtual machines, providing faster launch times and allowing thousands to run simultaneously on the same server. Docker simplifies distributing applications and ensures a consistent environment.
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.
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.
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
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.
Introduction to Docker storage, volume and imageejlp12
Docker storage drivers allow images and containers to be stored in different ways by implementing a pluggable storage driver interface. Common storage drivers include overlay2, aufs, devicemapper, and vfs. Images are composed of read-only layers stacked on top of each other, with containers adding a writable layer. Storage can be persisted using volumes, bind mounts, or tmpfs mounts. Strategies for managing persistent container data include host-based storage, volume plugins, and container storage platforms.
Docker is a tool that allows applications to run in isolated containers to make them portable and consistent across environments. It provides benefits like easy developer onboarding, eliminating application conflicts, and consistent deployments. Docker tools include the Docker Engine, Docker Client, Docker Compose, and Docker Hub. Key concepts are images which are templates for containers, and containers which are where the code runs based on an image. The document outlines how to build custom images from Dockerfiles, communicate between containers using linking or networks, and deploy containers using Docker Compose or in the cloud.
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 purpose of this solution is to go over the Docker basics which explain containers, images, how they work, where to find them, the architecture (client, daemon), the difference between Docker and VMs, and we will see Docker and an image and see some commands.
This document introduces Docker Compose, which allows defining and running multi-container Docker applications. It discusses that Docker Compose uses a YAML file to configure and run multi-service Docker apps. The 3 steps are to define services in a Dockerfile, define the app configuration in a Compose file, and run the containers with a single command. It also covers topics like networking, environment variables, and installing Docker Compose. Hands-on labs are provided to learn Compose through examples like WordPress.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
Docker allows you to package applications with their dependencies into standardized units called containers that can run on any Linux server. Containers are more portable and efficient than virtual machines, starting in milliseconds and using less disk space. Docker makes it easy to deploy and run applications without having to rebuild environments and guarantees that an application will run the same regardless of the infrastructure it is running on.
Docker is an open platform for developing, shipping, and running distributed applications. It allows applications to be shipped and run in lightweight containers that can run on any Linux server. Docker uses operating-system-level virtualization and cgroups isolation to deliver lightweight containers quickly. Key features of Docker include portability, lightweight containers that share resources and isolate processes, and automated workflows.
Docker allows for easy deployment and management of applications by wrapping them in containers. It provides benefits like running multiple isolated environments on a single server, easily moving applications between environments, and ensuring consistency across environments. The document discusses using Docker for development, production, and monitoring containers, and outlines specific benefits like reducing deployment time from days to minutes, optimizing hardware usage, reducing transfer sizes, and enhancing productivity. Future plans mentioned include using Kubernetes for container orchestration.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
This document discusses Docker, including what it is, why it is used, and how it works. Docker provides lightweight software containers that package code and its dependencies so the application runs quickly and consistently on any computing infrastructure. It allows applications to be easily deployed and migrated across computing environments. The document outlines how Docker addresses issues like managing multiple software stacks and hardware environments by creating portable containers that can be run anywhere without reconfiguration. Examples of using Docker for microservices, DevOps, and data centers are also provided.
Docker is a technology that uses lightweight containers to package applications and their dependencies in a standardized way. This allows applications to be easily deployed across different environments without changes to the installation procedure. Docker simplifies DevOps tasks by enabling a "build once, ship anywhere" model through standardized environments and images. Key benefits include faster deployments, increased utilization of resources, and easier integration with continuous delivery and cloud platforms.
Immutable infrastructure with Docker and EC2dotCloud
This document discusses Gilt's strategy of using immutable infrastructure with Docker and EC2 to enable continuous delivery and minimize risk when deploying new software versions. Some key points made include:
- Gilt builds Docker containers for each new application version, creates a new "stack" of infrastructure to run the container, and uses incremental rollout and automated rollback to reduce risk.
- Immutable infrastructure emerges naturally with Docker since each version requires new containers and infrastructure rather than updating existing instances.
- Automating deployment, rollback, and incremental rollout across new infrastructure stacks reduces probability, cost and occurrences of failures when deploying new versions.
- Instant rollback is possible by moving traffic back to the previous version's infrastructure if
This document summarizes the key events and announcements from Day 1 of DockerCon. It highlights the large number of attendees, keynotes from Red Hat executives, and the official launch of Docker Engine 1.0 and Docker Hub 1.0. It also thanks the many contributors, users, partners and open source projects that have helped Docker grow rapidly in the last 15 months since its launch.
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.
Configuration management tools like Chef, Puppet, and Ansible aim to reduce inconsistencies by imposing and managing consistent configurations across environments. However, they do not fully address issues related to dependencies, isolation, and portability. Docker containers build on these tools by adding standard interfaces and a lightweight virtualization layer that encapsulates code and dependencies, allowing applications and their environments to be packaged together and run consistently on any infrastructure while also providing isolation.
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!
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.
Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013dotCloud
The document outlines the agenda for the OpenStack Summit in November 2013. The agenda includes sessions on Docker and its ecosystem, using Docker with OpenStack and Rackspace, and a cross-cloud deployment demo. Docker is presented as a solution for developing and deploying applications across multiple environments by encapsulating code and dependencies in portable containers. It can help eliminate inconsistencies between development, testing, and production environments.
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.
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
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
The document outlines the agenda for the OpenStack Summit in November 2013, including presentations on Docker and its ecosystem, how Docker can be used with OpenStack and Rackspace, and a demonstration of cross-cloud application deployment using Docker. Docker is presented as a solution to the "matrix from hell" of running applications across different environments by providing lightweight, portable containers that can run anywhere regardless of the operating system. The summit aims to educate attendees on Docker and showcase its integration with OpenStack for simplified and efficient application deployment and management across multiple clouds.
This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.
This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard.
This document discusses using Docker containers with OpenStack for application deployment. It begins with an introduction to Docker, describing its growth in usage and integration with various tools. Docker is presented as a solution to issues around deploying applications across different environments and hardware by providing lightweight, portable containers that package code and dependencies. The document demonstrates how Docker can be used with OpenStack through a new hypervisor that allows OpenStack to deploy and manage Linux containers, enabling control of Docker through the OpenStack dashboard. It outlines some benefits of Docker combined with OpenStack and the current state of the related OpenStack project.
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 an open-source project that allows developers to package applications into lightweight, portable containers that can run on any Linux server. Containers isolate applications from one another and the underlying infrastructure, while still sharing operating system resources to improve efficiency. Docker eliminates inconsistencies between development and production environments by allowing applications to run identically in any computing environment, from a developer's laptop to the cloud. This portability and consistency accelerates the development lifecycle and improves deployment workflows for both developers and operations teams.
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
This document summarizes Docker, an open-source containerization platform. It discusses Docker's rapid growth since its launch 1 year prior, with over 370 contributors and 1 million downloads. Docker addresses the challenge of running applications across different environments by allowing applications and their dependencies to run in isolated containers that can be moved between servers. This eliminates inconsistencies between development and production environments. The document outlines benefits of Docker for developers, operations teams, and its role in microservices architecture.
This document discusses containers and Docker. It begins by explaining that cloud infrastructures comprise virtual resources like compute and storage nodes that are administered through software. Docker is introduced as a standard way to package code and dependencies into portable containers that can run anywhere. Key benefits of Docker include increased efficiency, consistency, and security compared to traditional virtual machines. Some weaknesses are that Docker may not be suitable for all applications and large container management can be difficult. Interesting uses of Docker include malware analysis sandboxes, isolating Skype sessions, and managing Raspberry Pi clusters with Docker Swarm.
The document discusses using Docker containers with OpenStack to deploy applications. It begins with an introduction to Docker and its benefits. It then covers adding Docker support to the OpenStack Nova computing controller to deploy containers instead of virtual machines. The remainder demonstrates setting up DevStack to use Docker with OpenStack and shows examples of launching Docker containers through the OpenStack Horizon web interface.
Newt Global provides DevOps transformation, cloud enablement, and test automation services. It was founded in 2004 and is headquartered in Dallas, Texas with locations in the US and India. The company is a leader in DevOps transformations and has been one of the top 100 fastest growing companies in Dallas twice. The document discusses an upcoming webinar on Docker 101 that will be presented by two Newt Global employees: Venkatnadhan Thirunalai, the DevOps Practice Leader, and Jayakarthi Dhanabalan, an AWS Solution Specialist.
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
The slides talk about Docker and container terminologies but will also be able to see the big picture of where & how it fits into your current project/domain.
Topics that are covered:
1. What is Docker Technology?
2. Why Docker/Containers are important for your company?
3. What are its various features and use cases?
4. How to get started with Docker containers.
5. Case studies from various domains
Docker-Hanoi @DKT , Presentation about Docker EcosystemVan Phuc
The document provides an overview of Docker Platform and Ecosystem. It begins with introductions and background on Docker, explaining how Docker solves the problem of dependency hell and portability issues by allowing applications to run in isolated containers that package code and dependencies. It then discusses key components of Docker including Engine, Registry, Machine, Swarm, Compose and tools like Toolbox and Cloud. The document concludes with examples of using Docker for continuous integration pipelines and microservices architectures.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
Best Programming Language for Civil EngineersAwais Yaseen
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era.
Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
2. Contents
• Introduction to Containers
• What is Docker?
• Docker Architecture
• Installing Docker
• Docker Engine
• Docker Images
• Docker File
• Docker Hub
• Docker CLI
• Kubernetes
• Hands On Demo
3. Containers
• LXC (Linux Containers) is an operating-system-level
virtualization method for running multiple isolated Linux
systems (containers) on a control host using a single Linux
kernel.
• The Linux kernel provides the cgroups functionality that
allows limitation and prioritization of resources (CPU,
memory, block I/O, network, etc.) without the need for
starting any virtual machines, and namespace isolation
functionality that allows complete isolation of an
applications' view of the operating environment, including
process trees, networking, user IDs and mounted file
systems
5. What is Docker
• Docker is an open-source project that automates the
deployment of applications inside software container
• Docker containers wrap up a piece of software in a
complete file system that contains everything it needs to
run: code, runtime, system tools, system libraries –
anything you can install on a server.
• This guarantees that it will always run the same,
regardless of the environment it is running in.
6. Static website
Web frontend
User DB
Queue Analytics DB
Background workers
API endpoint
nginx 1.5 + modsecurity + openssl + bootstrap 2
postgresql + pgv8 + v8
hadoop + hive + thrift + OpenJDK
Ruby + Rails + sass + Unicorn
Redis + redis-sentinel
Python 3.0 + celery + pyredis + libcurl + ffmpeg + libopencv + nodejs +
phantomjs
Python 2.7 + Flask + pyredis + celery + psycopg + postgresql-client
Development VM
QA server
Public Cloud
Disaster recovery
Contributor’s laptop
Production Servers
The Challenge
Multiplicityof
Stacks
Multiplicityof
hardware
environments
Production Cluster
Customer Data Center
Doservicesand
appsinteract
appropriately?
CanImigrate
smoothlyand
quickly?
7. 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
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
? ? ? ? ? ? ?
11. Static website Web frontendUser DB Queue Analytics DB
Development
VM
QA server Public Cloud Contributor’s
laptop
Docker is a shipping container system for
code
Multiplicityof
Stacks
Multiplicityof
hardware
environments
Production
Cluster
Customer Data
Center
Doservicesand
appsinteract
appropriately?
CanImigrate
smoothlyand
quickly
…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform
An engine that enables any
payload to be encapsulated as
a lightweight, portable, self-
sufficient container…
12. 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
Docker eliminates the matrix from Hell
13. Why Developers Care
• Build once, 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
14. Why Developers Care
• 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
15. 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
16. Why Devops Cares?
• 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
17. Why it works—separation of concerns
• The Developer
• Worries about
what’s “inside” the
container
• His code
• His Libraries
• His Package
Manager
• His Apps
• His Data
• All Linux servers
look the same
• The Administrator
• Worries about
what’s “outside”
the container
• Logging
• Remote access
• Monitoring
• Network config
• All containers
start, stop, copy,
attach, migrate,
etc. the same way
18. More technical explanation
• 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)
• 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)
• 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
WHY WHAT
19. App
A
Containers vs. VMs
Hypervisor (Type 2)
Host OS
Server
Guest
OS
Bins/
Libs
App
A’
Guest
OS
Bins/
Libs
App
B
Guest
OS
Bins/
Libs
AppA’
Docker
Host OS
Server
Bins/Libs
AppA
Bins/Libs
AppB
AppB’
AppB’
AppB’
VM
Container
Containers are isolated,
but share OS and, where
appropriate,
bins/libraries
Guest
OS
Guest
OS
…result is significantly faster
deployment, much less overhead,
easier migration, faster restart
20. Why are Docker containers lightweight?
Bins/
Libs
App
A
Original App
(No OS to take
up space, resources,
or require restart)
AppΔ
Bins
/
App
A
Bins/
Libs
App
A’
Guest
OS
Bins/
Libs
Modified App
Copy on write
capabilities allow
us to only save the
diffs
Between container
A and container
A’
VMs
Every app, every copy of an
app, and every slight modification
of the app requires a new virtual server
App
A
Guest
OS
Bins/
Libs
Copy of
App
No OS. Can
Share bins/libs
App
A
Guest
OS
Guest
OS
VMs Containers
21. What are the basics of the Docker system?
Source
Code
Repository
Dockerfile
For
A
Docker Engine
Docker
Container
Image
Registry
Build
Docker
Host 2 OS (Linux)
ContainerA
ContainerB
ContainerC
ContainerA
Push
Search Pull
Run
Host 1 OS (Linux)
22. Changes and Updates
Docker Engine
Docker
Container
Image
Registry
Docker Engine
Push
Update
Bins/
Libs
App
A
AppΔ
Bins
/
Base
Container
Image
Host is now running A’’
Container
Mod A’’
AppΔ
Bins
/
Bins/
Libs
App
A
Bins
/
Bins/
Libs
App
A’’
Host running A wants to upgrade to A’’.
Requests update. Gets only diffs
Container
Mod A’
23. Ecosystem Support
• Operating systems
• 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
• OpenStack
• Docker integration into NOVA (& compatibility with
Glance, Horizon, etc.) accepted for Havana release
• Private PaaS
• OpenShift
• Solum (Rackspace, OpenStack)
• Other TBA
• Public PaaS
• Deis, Voxoz, Cocaine (Yandex), Baidu PaaS
24. Ecosystem Support
• Public IaaS
• Native support in Rackspace, Digital Ocean,+++
• AMI (or equivalent) available for AWS & other
• DevOps Tools
• Integrations with Chef, Puppet, Jenkins, Travis,
Salt, Ansible +++
• Orchestration tools
• Mesos, Heat, ++
• Shipyard & others purpose built for Docker
• Applications
• 1000’s of Dockerized applications available at
index.docker.io
25. Use Cases
Use Case Examples
Clusters
Building a MongoDB cluster using docker
Production Quality MongoDB Setup with Docker
Wildfly cluster using Docker on Fedora
Build your own PaaS OpenSource PaaS built on Docker, Chef, and Heroku
Buildpacks
Web Based Environment for Instruction JiffyLab – web based environment for the instruction, or
lightweight use of, Python and UNIX shell
Easy Application Deployment
Deploy Java Apps With Docker = Awesome
How to put your development environment on docker
Running Drupal on Docker
Installing Wordpress on Docker
26. Use Cases
Use Case Examples
Create Secure Sandboxes Docker makes creating secure sandboxes easier than ever
Create your own SaaS Memcached as a Service
Automated Application Deployment Multi-cloud Deployment with Docker
Continuous Integration and Deployment
Next Generation Continuous Integration & Deployment
with dotCloud’s Docker and Strider
Testing Salt States Rapidly With Docker
Lightweight Desktop Virtualization
Docker Desktop: Your Desktop Over SSH Running Inside
Of A Docker Container
28. Namespaces
• Docker takes advantage of a technology called namespaces to
provide the isolated workspace we call the container.
• When you run a container, Docker creates a set of namespaces for
that container.
• Some of the namespaces that Docker Engine uses on Linux are:
1. The pid namespace: Process isolation (PID: Process ID).
2. The net namespace: Managing network interfaces (NET:
Networking).
3. The ipc namespace: Managing access to IPC resources (IPC:
InterProcess Communication).
4. The mnt namespace: Managing mount-points (MNT: Mount).
5. The uts namespace: Isolating kernel and version identifiers. (UTS:
Unix Timesharing System)
29. Control groups
• Docker Engine on Linux also makes use of another
technology called cgroups or control groups.
• A key to running applications in isolation is to have them
only use the resources you want.
• This ensures containers are good multi-tenant citizens on
a host.
• Control groups allow Docker Engine to share available
hardware resources to containers and, if required, set up
limits and constraints.
• For example, limiting the memory available to a specific
container.
31. Docker Engine
Docker Engine is a client-server application with these
major components:
• A server which is a type of long-running program called a
daemon process.
• A REST API which specifies interfaces that programs can
use to talk to the daemon and instruct it what to do.
• A command line interface (CLI) client.
33. Docker images
• A Docker image is a read-only template. For example, an
image could contain an Ubuntu operating system with
Apache and your web application installed.
• Images are used to create Docker containers. Docker
provides a simple way to build new images or update
existing images, or you can download Docker images that
other people have already created.
• Docker images are the build component of Docker.
34. Docker File
• Docker can build images automatically by reading the
instructions from a Dockerfile.
• A Dockerfile is a text document that contains all the
commands a user could call on the command line to assemble
an image.
• Using docker build users can create an automated build that
executes several command-line instructions in succession.
• The docker build command builds an image from a Dockerfile
and a context.
35. Docker File - Example
• Instructions
INSTRUCTION arguments
Eg. RUN echo 'we are running some # of cool things!’
• Parser directives:
FROM ImageName
Example:
#Comment
FROM windowsservercore
COPY testfile.txt c:
RUN dir c:
To Build image using this file:
docker build -f /path/to/a/Dockerfile .
36. Docker Hub
• Docker registries hold images.
• These are public or private stores from which you upload
or download images.
• The public Docker registry is provided with the Docker
Hub. (hub.docker.com)
• It serves a huge collection of existing images for your use.
These can be images you create yourself or you can use
images that others have previously created.
• Docker registries are the distribution component of
Docker.
37. Docker CLI
• The CLI makes use of the Docker REST API to control or
interact with the Docker daemon through scripting or
direct CLI commands.
• Many other Docker applications make use of the
underlying API and CLI.
• The CLI is also used to issue commands.
38. Kubernetes
• Kubernetes is an open-source platform for
automating deployment, scaling, and
operations of application containers across
clusters of hosts, providing container-centric
infrastructure.
• With Kubernetes, you can:
• Deploy your applications quickly and predictably.
• Scale your applications on the fly.
• Seamlessly roll out new features.
• Optimize use of your hardware by using only the
resources you need
40. Kubernetes Features
Kubernetes is:
• portable: public, private, hybrid, multi-cloud
• extensible: modular, pluggable, hookable,
composable
• self-healing: auto-placement, auto-restart,
auto-replication, auto-scaling
The Kubernetes project was started by Google
in 2014.