This was my presentation to the Node DC meetup on using Docker for Node JS projects. The code for the demonstration is available at github: https://github.com/lenworthhenry/Docker-Example
Docker allows developers to package applications with their dependencies into standardized units called containers that can run on any infrastructure regardless of the underlying operating system. The key components of Docker include the Docker Engine which creates and runs containers, Docker Hub for sharing container images, and containers which provide isolated execution environments for applications. Containers are more lightweight than virtual machines and allow applications to be easily deployed and scaled across computing infrastructure.
Docker is an open-source tool that allows developers to package applications into containers that can run on any infrastructure regardless of operating system. It provides an additional layer of abstraction and automation of operating system-level virtualization. Docker allows developers to build, ship, and run distributed applications, and is useful for both developers and DevOps users by making deployments more efficient, consistent, and repeatable across environments from development to production.
This document discusses Docker, an open-source containerization platform. It begins by outlining why Docker is useful for deploying applications reliably and at scale across various environments. It then explains the container metaphor and how Docker addresses challenges of shipping code similarly to how shipping containers standardized shipping goods. The document provides an overview of using Docker and building images with Dockerfiles. It concludes by discussing the Docker community, upcoming features, and the goals for Docker 1.0.
This document discusses Dockerfile commands used to build Docker images. It explains key commands like FROM, RUN, ADD, COPY, EXPOSE, VOLUME, CMD and ENTRYPOINT. Examples are provided for each command. The differences between CMD and ENTRYPOINT are explained. Best practices for the Dockerfile and Docker workflow are also briefly covered.
Docker is a computer program that performs operating system-level virtualization through containers. It was first released in 2013 and is developed by Docker, Inc. Docker uses images to build containers, which are isolated environments that run applications. A Dockerfile defines commands to build an image. Docker Hub is a registry that stores public and private images. Common commands include build to create images, run to launch containers, and push/pull to share images.
Docker allows building applications once and running them anywhere by using containers. It discusses Docker containers versus virtual machines, key Docker terminology like images and containers, and how to use a Dockerfile to build images automatically. The document then demonstrates Docker by running a simple container built from an image.
Docker session I: Continuous integration, delivery and deploymentDegendra Sivakoti
This document discusses continuous integration, delivery, and deployment processes and tools. It introduces Docker and provides an overview of:
- Continuous integration, delivery, and deployment concepts and principles
- Tools for continuous integration/delivery such as Jenkins, AWS CodePipeline, and CodeBuild
- How AWS CodePipeline can be used to automate the build, test, and deployment of code through different stages like source, build, deploy, approval, and test
Grazie a Docker è possibile costruire ambienti di sviluppo e di produzione consistenti e riproducibili, in questo talk parleremo delle origini e della storia di Docker, le technical foundation ed alcuni use-cases pratici per capire come è fatto un ambiente dockerizzato e come poterlo usare al meglio.
Docker allows developers to package applications with their dependencies into standardized units called containers that can run on any infrastructure regardless of the underlying operating system. The key components of Docker include the Docker Engine which creates and runs containers, Docker Hub for sharing container images, and containers which provide isolated execution environments for applications. Containers are more lightweight than virtual machines and allow applications to be easily deployed and scaled across computing infrastructure.
Docker is an open-source tool that allows developers to package applications into containers that can run on any infrastructure regardless of operating system. It provides an additional layer of abstraction and automation of operating system-level virtualization. Docker allows developers to build, ship, and run distributed applications, and is useful for both developers and DevOps users by making deployments more efficient, consistent, and repeatable across environments from development to production.
This document discusses Docker, an open-source containerization platform. It begins by outlining why Docker is useful for deploying applications reliably and at scale across various environments. It then explains the container metaphor and how Docker addresses challenges of shipping code similarly to how shipping containers standardized shipping goods. The document provides an overview of using Docker and building images with Dockerfiles. It concludes by discussing the Docker community, upcoming features, and the goals for Docker 1.0.
This document discusses Dockerfile commands used to build Docker images. It explains key commands like FROM, RUN, ADD, COPY, EXPOSE, VOLUME, CMD and ENTRYPOINT. Examples are provided for each command. The differences between CMD and ENTRYPOINT are explained. Best practices for the Dockerfile and Docker workflow are also briefly covered.
Docker is a computer program that performs operating system-level virtualization through containers. It was first released in 2013 and is developed by Docker, Inc. Docker uses images to build containers, which are isolated environments that run applications. A Dockerfile defines commands to build an image. Docker Hub is a registry that stores public and private images. Common commands include build to create images, run to launch containers, and push/pull to share images.
Docker allows building applications once and running them anywhere by using containers. It discusses Docker containers versus virtual machines, key Docker terminology like images and containers, and how to use a Dockerfile to build images automatically. The document then demonstrates Docker by running a simple container built from an image.
Docker session I: Continuous integration, delivery and deploymentDegendra Sivakoti
This document discusses continuous integration, delivery, and deployment processes and tools. It introduces Docker and provides an overview of:
- Continuous integration, delivery, and deployment concepts and principles
- Tools for continuous integration/delivery such as Jenkins, AWS CodePipeline, and CodeBuild
- How AWS CodePipeline can be used to automate the build, test, and deployment of code through different stages like source, build, deploy, approval, and test
Grazie a Docker è possibile costruire ambienti di sviluppo e di produzione consistenti e riproducibili, in questo talk parleremo delle origini e della storia di Docker, le technical foundation ed alcuni use-cases pratici per capire come è fatto un ambiente dockerizzato e come poterlo usare al meglio.
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 with relative basic commands.
This document summarizes a meetup hosted by ClusterUP, a company that provides a private cloud solution for DevOps using containers. The meetup covered an introduction to containers and Docker, demonstrated simple use cases for creating single and multi-container applications, and discussed potential future meetup topics like Dockerfile/Compose file overview, building images, container logs, security, and creating a private cloud. Attendees were provided contact information for ClusterUP and invited to suggest additional meetup topics.
Docker Compose: Docker Configuration for the Real WorldWill Hall
Using Docker Compose to manage you Docker containers and multi-container applications. 6 different application examples, teamed with https://github.com/willhallonline/docker-compose-workshop.
Introduction to Docker - Getting Started with DockerAiyana Shukla
Slides describing technical details on Docker containers, containers under-the-hood, Windows & Linux containers, differences between containers and VM, and how to get started with Docker Container. Ideal for beginners
This document discusses using Docker and microservices to build applications. It introduces Docker and how containers work at the process level in an isolated and lightweight way. It demonstrates how to build Dockerfiles for Node.js and Python applications, use Docker Hub for images, and run multi-container apps with Docker Compose. Some challenges of Docker like learning curve, build time, and file refresh are also outlined.
This document provides an overview of Upwork's migration from a legacy PHP/Perl architecture to a new microservices-based architecture called Agora. It discusses the problems with the legacy stack and the goals of the new architecture. Specifically, it aimed to isolate risk, allow independent development teams, and enable advanced deployment techniques. It then describes how the presentation layer was refactored into a microservices-based framework called Agate using Symfony and Angular. Agate services communicate with Agora using Phystrix, an open source library based on Hystrix for circuit breaking and fallback handling. The document concludes with discussions around testing, visibility tools, and planned improvements.
The document discusses developing command line interface (CLI) applications with Golang. It notes that Golang is well-suited for CLI apps due to its cross-platform compilation, ability to statically link dependencies into a single binary, and comparable execution performance to C/C++. Popular CLI frameworks for Golang include Cobra, urfave/cli, docopt/docopt.go, and mitchellh/cli. The document outlines common CLI structures like subcommands, flags, and arguments, and benefits of using a CLI framework like generating help documentation and POSIX compliant flags.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
Docker is an open-source tool that allows developers to package applications into containers to ensure consistency between development and production. It provides standardized packaging that isolates applications from each other and shares the same operating system kernel. Docker benefits developers by allowing applications to be built once and run anywhere without dependencies, and benefits DevOps by increasing efficiency and speed of the development lifecycle. The document then discusses who uses Docker, how to install it, the Docker engine architecture, images, registries, commands, and demonstrates Docker.
The document discusses development environments using Docker containers. It notes that Docker can simplify collaboration by eliminating dependency issues and allowing for reusable, distributable images. Docker provides fast builds through caching and composability through linking and sharing data between containers. An example dev environment is provided that builds an API image with different branches. Challenges are posed around breaking projects into containerized pieces and sharing code between containers and hosts to enable live reloading as code changes.
Docker Compose is a tool that allows users to define and run multi-container Docker applications. It allows defining services in a docker-compose.yml file so they can run together in an isolated environment. The three steps to using Docker Compose are: 1) Define the app environment with a Dockerfile, 2) Define services in docker-compose.yml, and 3) Run docker-compose up to start the entire application.
What's Docker and How to use?
This presentation and demo will help you understand the basic concepts of Docker and the use cases.
Reference: https://github.com/snese/docker101-examples
This document discusses Linux containers and the App Container specification (APPC). It provides a history of container technologies and describes key aspects of APPC including the ACI image format, runtime environment, and discovery protocol. It introduces Rocket (rkt) as a container runtime that works with APPC and can run applications packaged in ACIs. The document concludes by mentioning how to install rkt and build a simple ACI image for demonstration purposes.
Docker is an open source tool that allows developers to package applications into containers that can run on any Linux server. It provides isolation and portability for applications, allowing developers to build and ship applications easily. Docker started as a project at DotCloud to provide a lightweight virtualization solution as an alternative to full virtual machines. Containers are like lightweight virtual machines that share resources from the host operating system and isolate applications from each other. Docker uses Linux kernel features like namespaces and cgroups to provide isolation between containers running on the same host.
This Docker cheat sheet provides concise summaries of common Docker commands for building, running, sharing, and managing Docker images and containers. It lists commands for building an image from a Dockerfile, listing images and containers, running a container with port mappings, stopping and deleting containers, and managing networks, images, and more. The cheat sheet is intended to serve as a quick reference guide for the most essential Docker commands.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
This presentation gives a quick introduction to Docker and aims to motivate you to read and learn more about this really cool technology that is gaining a lot of attention/popularity at the moment.
The document discusses orchestrating docker containers at scale using docker swarm. It begins with an introduction to docker and containers versus VMs. It then covers clustering docker containers using swarm, including creating a swarm master, joining nodes, and using the docker remote API. Finally, it briefly demonstrates these concepts.
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.
This document summarizes a presentation about using Docker containers to provide consistent build and test environments. It discusses using Docker images to manage dependencies on local workstations, provide uniform Jenkins slaves, and run tests inside orchestrated environments like OpenShift. The key benefits highlighted are maintaining consistency across environments and allowing developers to focus on code by handling infrastructure concerns with Docker.
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 with relative basic commands.
This document summarizes a meetup hosted by ClusterUP, a company that provides a private cloud solution for DevOps using containers. The meetup covered an introduction to containers and Docker, demonstrated simple use cases for creating single and multi-container applications, and discussed potential future meetup topics like Dockerfile/Compose file overview, building images, container logs, security, and creating a private cloud. Attendees were provided contact information for ClusterUP and invited to suggest additional meetup topics.
Docker Compose: Docker Configuration for the Real WorldWill Hall
Using Docker Compose to manage you Docker containers and multi-container applications. 6 different application examples, teamed with https://github.com/willhallonline/docker-compose-workshop.
Introduction to Docker - Getting Started with DockerAiyana Shukla
Slides describing technical details on Docker containers, containers under-the-hood, Windows & Linux containers, differences between containers and VM, and how to get started with Docker Container. Ideal for beginners
This document discusses using Docker and microservices to build applications. It introduces Docker and how containers work at the process level in an isolated and lightweight way. It demonstrates how to build Dockerfiles for Node.js and Python applications, use Docker Hub for images, and run multi-container apps with Docker Compose. Some challenges of Docker like learning curve, build time, and file refresh are also outlined.
This document provides an overview of Upwork's migration from a legacy PHP/Perl architecture to a new microservices-based architecture called Agora. It discusses the problems with the legacy stack and the goals of the new architecture. Specifically, it aimed to isolate risk, allow independent development teams, and enable advanced deployment techniques. It then describes how the presentation layer was refactored into a microservices-based framework called Agate using Symfony and Angular. Agate services communicate with Agora using Phystrix, an open source library based on Hystrix for circuit breaking and fallback handling. The document concludes with discussions around testing, visibility tools, and planned improvements.
The document discusses developing command line interface (CLI) applications with Golang. It notes that Golang is well-suited for CLI apps due to its cross-platform compilation, ability to statically link dependencies into a single binary, and comparable execution performance to C/C++. Popular CLI frameworks for Golang include Cobra, urfave/cli, docopt/docopt.go, and mitchellh/cli. The document outlines common CLI structures like subcommands, flags, and arguments, and benefits of using a CLI framework like generating help documentation and POSIX compliant flags.
The document discusses Docker and container orchestration tools. It begins with an agenda on multi-machine Docker swarms and alternatives like Kubernetes and Mesos. It then covers setting up a multi-node Docker swarm across two virtual machines, deploying an application to the swarm, and accessing the clustered application. Moby Project is introduced as the new name for Docker's open source components to distinguish them from commercial Docker products. Tools like Kitematic, Docker's Universal Control Plane, and Panamax are also briefly mentioned.
Docker is an open-source tool that allows developers to package applications into containers to ensure consistency between development and production. It provides standardized packaging that isolates applications from each other and shares the same operating system kernel. Docker benefits developers by allowing applications to be built once and run anywhere without dependencies, and benefits DevOps by increasing efficiency and speed of the development lifecycle. The document then discusses who uses Docker, how to install it, the Docker engine architecture, images, registries, commands, and demonstrates Docker.
The document discusses development environments using Docker containers. It notes that Docker can simplify collaboration by eliminating dependency issues and allowing for reusable, distributable images. Docker provides fast builds through caching and composability through linking and sharing data between containers. An example dev environment is provided that builds an API image with different branches. Challenges are posed around breaking projects into containerized pieces and sharing code between containers and hosts to enable live reloading as code changes.
Docker Compose is a tool that allows users to define and run multi-container Docker applications. It allows defining services in a docker-compose.yml file so they can run together in an isolated environment. The three steps to using Docker Compose are: 1) Define the app environment with a Dockerfile, 2) Define services in docker-compose.yml, and 3) Run docker-compose up to start the entire application.
What's Docker and How to use?
This presentation and demo will help you understand the basic concepts of Docker and the use cases.
Reference: https://github.com/snese/docker101-examples
This document discusses Linux containers and the App Container specification (APPC). It provides a history of container technologies and describes key aspects of APPC including the ACI image format, runtime environment, and discovery protocol. It introduces Rocket (rkt) as a container runtime that works with APPC and can run applications packaged in ACIs. The document concludes by mentioning how to install rkt and build a simple ACI image for demonstration purposes.
Docker is an open source tool that allows developers to package applications into containers that can run on any Linux server. It provides isolation and portability for applications, allowing developers to build and ship applications easily. Docker started as a project at DotCloud to provide a lightweight virtualization solution as an alternative to full virtual machines. Containers are like lightweight virtual machines that share resources from the host operating system and isolate applications from each other. Docker uses Linux kernel features like namespaces and cgroups to provide isolation between containers running on the same host.
This Docker cheat sheet provides concise summaries of common Docker commands for building, running, sharing, and managing Docker images and containers. It lists commands for building an image from a Dockerfile, listing images and containers, running a container with port mappings, stopping and deleting containers, and managing networks, images, and more. The cheat sheet is intended to serve as a quick reference guide for the most essential Docker commands.
The document provides an overview of containerization basics using Docker. It defines key Docker terminology like images, containers, daemon, client, and Docker Hub. It explains how to run a static website in a container, view running containers and images, build and push custom images to a private registry. It also covers container logging and setting up a private Docker registry using the registry image.
This document provides an agenda for a Docker Academy PRO course. It introduces containers and containerization basics. It discusses how Docker works and the evolution of IT that led to its development. It compares containers to virtual machines and the advantages of containers. Key Docker concepts are explained like images, the Docker daemon, and official Docker images. The document concludes by asking if there are any questions.
This presentation gives a quick introduction to Docker and aims to motivate you to read and learn more about this really cool technology that is gaining a lot of attention/popularity at the moment.
The document discusses orchestrating docker containers at scale using docker swarm. It begins with an introduction to docker and containers versus VMs. It then covers clustering docker containers using swarm, including creating a swarm master, joining nodes, and using the docker remote API. Finally, it briefly demonstrates these concepts.
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.
This document summarizes a presentation about using Docker containers to provide consistent build and test environments. It discusses using Docker images to manage dependencies on local workstations, provide uniform Jenkins slaves, and run tests inside orchestrated environments like OpenShift. The key benefits highlighted are maintaining consistency across environments and allowing developers to focus on code by handling infrastructure concerns with Docker.
Docker is a tool that allows developers to package applications into containers to ensure consistency across environments. Some key benefits of Docker include lightweight containers, isolation, and portability. The Docker workflow involves building images, pulling pre-built images, pushing images to registries, and running containers from images. Docker uses a layered filesystem to efficiently build and run containers. Running multiple related containers together can be done using Docker Compose or Kubernetes for orchestration.
This document provides an overview of Docker for developers. It discusses why Docker is useful for building applications, including portability across machines, isolating dependencies, and creating development environments that match production. Benefits of Docker like lightweight containers, a unified build process with Dockerfiles, standardized images from Docker Hub, and fast container startup times are outlined. Some cons like only working on Linux and added complexity are noted. Using Docker with Vagrant for a portable development environment is presented. Key Docker CLI commands and Docker Compose for defining multi-container apps are covered. Tips for debugging running containers are provided.
Using Docker to build and test in your laptop and JenkinsMicael Gallego
Docker is changing the way we create and deploy software. This presentation is a hands-on introduction to how to use docker to build and test software, in your laptop and in your Jenkins CI server
Run automated tests in Docker
This document discusses using Docker to run automated tests. Docker containers wrap software and dependencies to guarantee consistent environments. The author demonstrates building a "hello world" application container and a separate test container. Tests are run in the container to ensure consistency between local and CI environments. Key advantages are automated, lightweight, agnostic and immutable testing.
This document provides an overview of Docker for web developers. It defines containers and Docker, discusses the benefits of Docker like faster deployment and portability. It explains key Docker concepts like images, containers, Dockerfile for building images, Docker platform, and commands for managing images and containers. The document also describes what happens behind the scenes when a container is run, and how to install and use Docker on Linux, Windows and Mac.
The document provides an overview of Docker for web developers. It defines containers and Docker, explaining that Docker allows developers to package applications into standardized units for development, shipment and deployment. It covers Docker concepts like images, containers, Dockerfiles and registries. It also discusses how to install Docker, manage images and containers, configure networking, mount volumes, and allow communication between containers. The goal is to explain the key Docker concepts and components to help developers understand and use Docker.
Introduction to Docker and Monitoring with InfluxDataInfluxData
In this webinar, Gary Forgheti, Technical Alliance Engineer at Docker, and Gunnar Aasen, Partner Engineering, provide an introduction to Docker and InfluxData. From there, they will show you how to use the two together to setup and monitor your containers and microservices to properly manage your infrastructure and track key metrics (CPU, RAM, storage, network utilization), as well as the availability of your application endpoints.
This document discusses Docker and containerization. It begins with an introduction to Docker and containers, explaining how containers are lightweight and use the host operating system, allowing multiple containers to run simultaneously on the same machine. It then covers using the Docker CLI to pull, run, create, and manage containers. Finally, it demonstrates how to dockerize your own application by creating a Dockerfile and docker-compose file to build a custom image for a Java application with unit tests.
Docker is an open platform for developers and system administrators to build, ship and run distributed applications. Using Docker, companies in Jordan have been able to build powerful system architectures that allow speeding up delivery, easing deployment processes and at the same time cutting major hosting costs.
George Khoury shares his experience at Salalem in building flexible and cost effective architectures using Docker and other tools for infrastructure orchestration. The result allows them to easily and quickly move between different cloud providers.
This document provides an introduction and overview of Docker and Docker Compose. It begins with background on the speaker and a history of session-based, non-session based, and container-based computing. Key benefits of containers are then outlined. The document explains the terminology used in Docker and provides examples of pulling an image, building an image, and using Docker Compose to define and run a multi-container application with services like Redis, Node, and Nginx. It also lists and briefly explains many common Docker commands.
Docker allows developers to package applications and dependencies into standardized containers. Containers provide isolated environments that are consistent across different machines. This document outlines how Docker can be used to develop PHP applications, including building containers with Dockerfiles, sharing containers via Docker Hub, and running multi-container applications with Docker Compose. The speaker demonstrates building, shipping, and running containers to illustrate Docker's capabilities.
ExpoQA 2017 Using docker to build and test in your laptop and JenkinsElasTest Project
This document discusses using Docker to build and test applications in laptops and Jenkins. It begins with an introduction to the author and their background/expertise. It then covers virtualization and containers, including VirtualBox, Vagrant, and Docker. The main concepts of Docker like images, containers, registries are defined. Hands-on examples are provided for running basic Docker commands, managing the lifecycle of containers, exposing network services, and managing Docker images. Building a simple Python web application image is demonstrated as a first example of creating a custom Docker image.
PuppetConf 2017: What’s in the Box?!- Leveraging Puppet Enterprise & Docker- ...Puppet
“Docker, Docker, Docker.” It’s a phrase we hear often, but what are containers, what can they be used for, and why should you know more about them? In this session, Grace (Puppet) and Tricia (AppDynamics) will introduce attendees to Docker and help them build and deploy their first container with Puppet. They will leverage the docker_image_build module from the Puppet Forge and take attendees through the proper workflow for coupling Docker and Puppet together. The session will focus on how to use some of the newest Docker features, such as multi-stage build files and password stores within Docker so you can pass "secrets" to a swarm for login credentials. The goal is to provide newcomers with a working proficiency of how to get started deploying containers using Puppet as their automation tool.
Настройка окружения для кросскомпиляции проектов на основе docker'acorehard_by
Как быстро и легко настраивать/обновлять окружения для кросскомпиляции проектов под различные платформы(на основе docker), как быстро переключаться между ними, как используя эти кирпичики организовать CI и тестирование(на основе GitLab и Docker).
The document provides an agenda for a DevOps with Containers training over 4 days. Day 1 covers Docker commands and running containers. Day 2 focuses on Docker images, networks, and storage. Day 3 introduces Docker Compose. Day 4 is about Kubernetes container orchestration. The training covers key Docker and DevOps concepts through presentations, videos, labs, and reading materials.
Similar to Introduction to Docker for NodeJs developers at Node DC 2/26/2014 (20)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Introduction to Docker for NodeJs developers at Node DC 2/26/2014
1. Node.js in a Docker Container
Lenworth Henry (lenworth.henry@gmail.com)
2. What is Docker
●
●
Docker is an easy way to create a lightweight
container from any application
The same container you use in development
can be scaled to production on any platform
that supports Linux Containers (Amazon, VMs,
etc)
3. What can you do with Docker
●
Software distribution (app + dependencies)
–
e.g. NodeJs web apps (app+node+mongo+redis)
●
Fast spin-up VMs (no booting)
●
Automated testing and continuous integration/deployment.
●
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Deploying and scaling databases and back-end services
in a service-oriented environment.
Document what components you need to run your
application
4. Why did I seek out Docker
●
●
●
Every time a new framework or library was
added to our code base the developers got
out of sync and we lost productivity
We needed a way to synchronize our
development environments
I also needed a way to keep track of all the
components that we were using in our
application (i.e. not use history to tell what I
have installed)
5. Why not Vagrant
●
●
●
Vagrant requires each machine to have
VM software like Virtuabox
Vagrant is not designed for creating
containers for production because of
all the overhead
Vagrant wasn't any easier to configure
than docker, but, the container footprint
was larger
6. What you will need
●
A workstation running Linux kernel 3.8
or greater
–
●
Docker containers can run inside VMs like
Virtuabox, but, as Linux containers they
are made for Linux
Knowledge of how to configure your
application on bare hardware
–
There is lots of help for this
9. Docker speak
●
●
●
A container is a running instance of an
image.
You create an image starting with one of
the images found on the index and
adding any customizations either from
inside the running container or using a
Dockerfile
Dockerfile-->(build)-->Image---(run)->Container
10. Two workflows with docker
●
Using commits
–
–
Connect to the shell of the base image and add whatever software,
customizations and your source (e.g. pull a git remote repository)
–
Commit to a new image
–
●
Run a base image
Run that image
Using Dockerfile
–
Create a dockerfile that includes all your configurations,
customizations and access to your source
–
This can all be pulled down from git to a different workstation
–
This is the most reliable option since your Dockerfile should be
rewritten that you can recreate the image with one command.
11. How to create a Docker File
●
If you don't remember all the packages
you installed then you can launch a
shell using a base image and then run
all the steps. Each step can be copied
to the docker file as a “RUN” command
12. Shell for Your Container
●
Once a docker image has been
created you can run it and enter the
bash shell using this command:
–
sudo docker run -t -i --rm ubuntu bash
13. Docker gotchas
●
You can only run one command or entrypoint for a container
–
–
●
●
You only have one cmd or entrypoint. Only one will get executed.
You must create a start script or use something like supervisord
If you change your source on the client you have to rebuild the image to see
those changes on the container.
You can't have long running processes in your Dockerfile
–
Each step is meant to execute and complete
–
Daemon like functionality should be executed when the container is running
14. Two containers
●
●
●
DB container is separate because it
rarely changes
The Node app resides in its own
container
Communication is enabled between
the two containers using linking
–
Linking works the same in production
environment
18. Helpful Docker commands
●
logs (sudo docker logs @containerid)
–
●
Gives a print out of the tty after running
ps (sudo docker ps)
–
–
●
Shows you all running containers
Containers running in daemon mode will show
up here for as long as they are running
stop (sudo docker stop @containerid)
–
Stops a running container
19. Docker Tips
●
Only run in daemon mode (-d) if you have run
it without -d to see if there are any problems
with your configuration
–
●
You will not see errors printed out to stdout while
trying to load the container
Watch your disk space while creating images
and containers
–
Docker creates intermediate containers that can
quickly eat up disk space
–
Use the -rm=true when building