Docker presentation
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Docker provides a standard way to package applications into containers that are portable and can run on any infrastructure. The containers isolate applications from one another and ensure that dependencies and configurations are included so applications always run the same. This allows developers to build applications once and deploy them anywhere without worrying about compatibility or missing dependencies. It also allows operators to configure applications once and run anything on their infrastructure efficiently by eliminating inconsistencies between environments.
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Link: https://docs.google.com/presentation/d/e/2PACX-1vRAuCJYVzDINO6szlDyqVVWP717S-MaWxYYqsGKOex9z_-eDSMr4u4DP26UQgaEEul4eEqrjAR6NDaT/pub?start=false&loop=false&delayms=3000
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Building large scale apps traditionally has traditionally meant building large monolithic apps to handle everything. In the new age of the cloud and on premise data centers, increasingly the world is looking to containers and microservices. This allows flexibility and agility. Individual teams can choose the tools they need and be assured they'll work in the environment they want. And it also has implications for how we do developer relations, making it easier to deploy samples without worrying about environment. This session will look at microservices and how they are changing both the enterprise, and our work in developer relations.
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Presentation about Docker:
2016 Trends:
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Why Docker?
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Présentation link:
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* 2017 Trends
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* Containers
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* Docker Cloud
* Docker insights and statistics
Link: https://docs.google.com/presentation/d/e/2PACX-1vRAuCJYVzDINO6szlDyqVVWP717S-MaWxYYqsGKOex9z_-eDSMr4u4DP26UQgaEEul4eEqrjAR6NDaT/pub?start=false&loop=false&delayms=3000
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This document discusses Docker, an open source containerization platform. It allows applications to run regardless of how they were created or their dependencies by packaging code and dependencies together. This solves issues of applications working differently in different environments. Docker uses containers, which are lightweight and isolated from each other, sharing the same operating system kernel. Containers improve resource utilization and allow running multiple applications simultaneously reliably. Docker images are used as templates to launch containers from and can be built from base images with custom code added via Dockerfiles for reproducible builds.
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2016 Trends:
* Microservices: load balancing and orchestration
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* Environment-less deployment
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Why Docker?
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Docker compose configuration file:
http://www.mediafire.com/download/lfmfzrkgn9wzegm/docker-compose.yml
Présentation link:
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Docker allows packaging applications and dependencies into containers to ensure applications work seamlessly across environments. Docker images are blueprints used to create containers, which are runnable instances of images. Dockerization is useful for standardizing environments and ensuring applications run the same on different machines through containerization. The document demonstrates creating an MSSQL server Linux container using Docker by running a command to specify environment variables and port mapping.
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Introduction to Docker - VIT Campus
- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
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This document provides an overview of Docker containers and their benefits. It begins by explaining what Docker containers are, noting that they wrap up software code and dependencies into lightweight packages that can run consistently on any hardware platform. It then discusses some key benefits of Docker containers like their portability, efficiency, and ability to eliminate compatibility issues. The document provides examples of how Docker solves problems related to managing multiple software stacks and environments. It also compares Docker containers to virtual machines. Finally, it outlines some common use cases for Docker like application development, CI/CD workflows, microservices, and hybrid cloud deployments.
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Why does any "code lab workshop" or live demo are always such a challenge?
A wise sysadmin once told me: “Get your hand dirty with the production to learn”.
So I want to tell you a story of getting hand dirties, by creating a code lab environment considered as production.
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While DevOps are comfortable with continuous integration and automatic tests, the area of continuous packaging has not been given the attention it deserves.
Even with containers, delivering an application using software packages provides multiple advantages with regards to file-based installation: it allows to manage dependencies more easily, to provide metadata, checksum, and signature mechanisms, to deal with packages repositories.
But doing that in a continuous packaging approach means that the generation of these packages is fully automated and part of the build process of the software. As a consequence, it eases the various steps of a solution lifecycle (controlled impact of installation/uninstallation,
identical deliveries up to the customer, avoidance of code or metadata duplication)
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This document introduces Docker containers. It begins by explaining that Docker solves the problem of inconsistent environments by packaging applications with all their dependencies into standardized units called containers. It then defines what a Docker image is, as a read-only template with layered filesystem changes that form the basis for containers. Finally, it describes how containers are running instances of images that isolate processes but share resources with the host machine, making them lightweight and portable compared to virtual machines.
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This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with Docker.
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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.
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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.
Kubernetes in Docker
1. Docker EE will include an unmodified Kubernetes distribution to provide orchestration capabilities alongside Docker Swarm.
2. When running mixed workloads across orchestrators, resource contention is a risk and it is recommended to separate workloads by orchestrator on each node for now.
3. Docker EE aims to address the shortcomings of running mixed workloads to better support this in the future.
Intro to docker - innovation demo 2022
A walkthrough of what is Containers and why we need it in large scale software projects. Specially in corporate environments where automation and quality is critical.
Abc of docker
The document discusses Docker, a container management service that allows applications and dependencies to be shipped in lightweight executable packages called containers. It describes how Docker can be used for fast and consistent application delivery, responsive deployment and scaling, and running more workloads on the same hardware. Key Docker features include being easily scalable, enabling faster configuration and increased productivity, reducing infrastructure costs, and providing application isolation. The document also covers Docker architecture, objects like images and containers, and benefits such as cost savings, rapid deployment, simplicity and security. It notes some limitations and provides important links for additional information.
I3 docker-intro-yusuf
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. It allows applications to be assembled from components and run unchanged on laptops, data centers, and clouds. Containers provide isolation at the OS level and share resources to provide lightweight virtualization compared to virtual machines. Docker standardizes the container format and tools to make containers portable and easy for developers to use, improving the development lifecycle.
Why docker | OSCON 2013
Docker, Containers, and the Future of Application Delivery document discusses:
- The challenges of running applications across different environments due to variations in stacks and hardware ("N x N" compatibility problem).
- How Docker addresses this by allowing applications and their dependencies to be packaged into standardized software containers that can run consistently across any infrastructure similar to how shipping containers standardized cargo transportation.
- The benefits of Docker for developers in building applications once and running them anywhere without dependency or compatibility issues, and for operations in simplifying configuration management and automation.
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This session will explain how to:
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* Deploy your Java application using Maven
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* Scale Java services with Docker Engine swarm mode
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Docker has the potential to revolutionize how we build, deliver, support and even design software. But it doesn't have to be a violent revolution. The end goal might be breaking your existing ASP.NET monolith into microservices which run cross-platform on .NET Core, but the first step can be as simple as packaging your whole .Net Framework application as-is into a Docker image and running it as a container.
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Your developers just walked into your cube and said: "Here's the new app, I built it with Docker, and it's ready to go live." What do you do next? In this session, we'll talk about what containers are and what they are not. And we'll step through a series of considerations that need to be examined when deploying containerized workloads - VMs or Container? Bare Metal or Cloud? What about capacity planning? Security? Disaster Recovery? How do I even get started?
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- The document introduces Docker, explaining that it provides standardized packaging for software and dependencies to isolate applications and share the same operating system kernel.
- Key aspects of Docker are discussed, including images which are layered and can be version controlled, containers which start much faster than virtual machines, and Dockerfiles which provide build instructions for images.
- The document demonstrates Docker's build, ship, and run workflow through examples of building a simple image and running a container, as well as using Docker Compose to run multi-container applications like WordPress. It also introduces Docker Swarm for clustering multiple Docker hosts.
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Tales of Training: Scaling CodeLabs with Swarm Mode and Docker-Compose
Why does any "code lab workshop" or live demo are always such a challenge?
A wise sysadmin once told me: “Get your hand dirty with the production to learn”.
So I want to tell you a story of getting hand dirties, by creating a code lab environment considered as production.
This story will show that we can build a reproducible environment for code-labs workshops, by using the Docker “tools”: the Engine, Swarm Mode, Docker-Compose, Moby, LinuxKit.
Following the spirit of “Play With Docker”, but generalized at any service collection, this Codelab toolkit has been used on code-labs workshops of 120+ people.
That path was not a free lunch, but the lessons learned will give you an idea on how a training environment can be efficiently done with Compose and Swarm Mode, by treating it as a “production” platform, tackling the plumbing “youth” limitations for the better of your use case.
As a trainer, I never learned so much than building something to teach people someone else: this the story I want to tell you, the tale of using Docker as a tool of MASSIVE KNOWLEDGE SHARING, which is the root of growing our industry together.
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While DevOps are comfortable with continuous integration and automatic tests, the area of continuous packaging has not been given the attention it deserves.
Even with containers, delivering an application using software packages provides multiple advantages with regards to file-based installation: it allows to manage dependencies more easily, to provide metadata, checksum, and signature mechanisms, to deal with packages repositories.
But doing that in a continuous packaging approach means that the generation of these packages is fully automated and part of the build process of the software. As a consequence, it eases the various steps of a solution lifecycle (controlled impact of installation/uninstallation,
identical deliveries up to the customer, avoidance of code or metadata duplication)
This presentation will detail the methodological approach around continuous packaging and demonstrate how this can be put in place using an Open Source tool such as project-builder.org and how this allows the MondoRescue project to deliver packages at will for lots of distribution tuples through the same number of Docker containers.
Docker introduction
This document introduces Docker containers. It begins by explaining that Docker solves the problem of inconsistent environments by packaging applications with all their dependencies into standardized units called containers. It then defines what a Docker image is, as a read-only template with layered filesystem changes that form the basis for containers. Finally, it describes how containers are running instances of images that isolate processes but share resources with the host machine, making them lightweight and portable compared to virtual machines.
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As we move to our application units to containers most people are asking themselves the question about orchestrator choice. That is not the only choice that’s important, what about the underlying container runtime? In this talk, we will look at why you would use containerD with runC with both Swarm and Kubernetes, but other uses for ContainerD like container OS’s to ship immutable infrastructure.
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This document provides an introduction to Docker and containers. It discusses why containers are useful for software deployment given changes in the industry. Containers provide lightweight isolation of applications and their dependencies. Docker is a tool that manages containers running on the same operating system kernel. Key Docker components include the client, server, images, and containers. Popular use cases of Docker include Google running over a billion containers per week and Finnish Railways saving 50% of cloud costs with Docker.
Introduction to Docker
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 introduction & benefits
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.
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1. Docker EE will include an unmodified Kubernetes distribution to provide orchestration capabilities alongside Docker Swarm.
2. When running mixed workloads across orchestrators, resource contention is a risk and it is recommended to separate workloads by orchestrator on each node for now.
3. Docker EE aims to address the shortcomings of running mixed workloads to better support this in the future.
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Similar to Docker presentation
I3 docker-intro-yusuf
Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. It allows applications to be assembled from components and run unchanged on laptops, data centers, and clouds. Containers provide isolation at the OS level and share resources to provide lightweight virtualization compared to virtual machines. Docker standardizes the container format and tools to make containers portable and easy for developers to use, improving the development lifecycle.
Why docker | OSCON 2013
Docker, Containers, and the Future of Application Delivery document discusses:
- The challenges of running applications across different environments due to variations in stacks and hardware ("N x N" compatibility problem).
- How Docker addresses this by allowing applications and their dependencies to be packaged into standardized software containers that can run consistently across any infrastructure similar to how shipping containers standardized cargo transportation.
- The benefits of Docker for developers in building applications once and running them anywhere without dependency or compatibility issues, and for operations in simplifying configuration management and automation.
Why Docker
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.
Docker, Containers and the Future of Application Delivery
Docker containers provide a standardized way to package applications and their dependencies to run consistently regardless of infrastructure. This solves the "N x N" compatibility problem caused by multiple applications, stacks, and environments. Containers allow applications to be built once and run anywhere while isolating components. Docker eliminates inconsistencies between development, testing and production environments and improves automation of processes like continuous integration and delivery.
Docker, Containers and the Future of Application Delivery
This document discusses Docker and containers as a solution to challenges in application delivery caused by the multiplicity of hardware environments and software stacks. It describes how Docker solves this "N x N" compatibility problem by allowing applications and their dependencies to be packaged into standardized, self-sufficient containers that can run on any infrastructure. The document outlines why Docker is gaining excitement from developers and operations teams by enabling "build once, run anywhere", continuous integration/deployment, and consistent application environments. It also summarizes some alternative approaches and real-world use cases being developed by the Docker community.
A curtain-raiser to the container world Docker & Kubernetes
Agenda
1. The changing landscape of IT Infrastructure
2. Containers - An introduction
3. Container management systems
4. Kubernetes
5. Containers and DevOps
6. Future of Infrastructure Mgmt
About the talk
In this talk, you will get a review of the components & the benefits of Container technologies - Docker & Kubernetes. The talk focuses on making the solution platform-independent. It gives an insight into Docker and Kubernetes for consistent and reliable Deployment. We talk about how the containers fit and improve your DevOps ecosystem and how to get started with containerization. Learn new deployment approach to effectively use your infrastructure resources to minimize the overall cost.
Hypervisor "versus" Linux Containers with Docker !
Hypervisor "versus" Linux Containers!
Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.
Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters!
Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments.
Francisco Gonçalves (Dec2013
( francis.goncalves@gmail.com )
Docker в автоматизации тестирования
Docker в последняя время набрал огромную популярность как инструмент разработчиков и DevOps-специалистов, но все ещё не так активно используется для автоматизированного тестирования. Во время воркшопа я поделюсь несколькими сценариями, когда Docker может помочь автоматизировать то что ранее считалось непригодным к автоматизации. Также, мы попробуем создать свой собственный образ и запустить несколько контейнеров используя docker-compose.
Introduction to Docker Container
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.
Introduction to Docker
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.
Alles Docker oder Was ?
The document discusses containers and Docker. It provides an overview of containers and how they solve compatibility issues like those encountered in shipping cargo. Docker is presented as a container system for code that provides many of the same benefits as physical containers, like portability and isolation of applications and dependencies. Examples are given of how Docker can be used by developers and operations teams.
Docker for dev
Nelis and I used this presentation to guide us through the Docker for Dev session at XP Days Benelux 2016.
Docker and OpenStack Boston Meetup
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 for dummies
This document discusses Docker and provides an agenda for a Docker training. It explains that Docker provides lightweight virtualization, portability, and improved efficiency. Docker containers are isolated environments that reduce time from development to production. Docker images serve as templates for launching containers, which contain all the dependencies for an application to run. Resources for learning more about Docker are also provided.
Kubernetes is all you need
Containerization provides benefits like consistent environments, lightweight packages, and efficient resource utilization and isolation. Kubernetes is an open-source platform that provides tools to automate deployment, scaling, and management of containerized applications. It groups containerized applications into logical units called pods and uses labels to identify pods. It provides features like service discovery, load balancing, rolling updates, and self-healing capabilities. Kubernetes aims to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
OpenStack Boston
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.
Docker open stack boston
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.
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Slides of the presentation by Ben Golub and Nick Stinemates. Video can be found here: https://www.youtube.com/watch?v=7VODU7Wr_fI
Application Deployment on Openstack
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.
Docker - A curtain raiser to the Container world
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
Similar to Docker presentation (20)
Docker, Containers and the Future of Application Delivery
Docker, Containers and the Future of Application Delivery
Docker, Containers and the Future of Application Delivery
Docker, Containers and the Future of Application Delivery
A curtain-raiser to the container world Docker & Kubernetes
A curtain-raiser to the container world Docker & Kubernetes
Hypervisor "versus" Linux Containers with Docker !
Hypervisor "versus" Linux Containers with Docker !
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
Docker Presentation at the OpenStack Austin Meetup | 2013-09-12
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Makify allows children to create 3D art digitally which is then printed and shipped to customers, usually family members. This gives children a creative outlet, entertains them, and connects distant family. A survey found 94% of parents would buy art their child made, averaging $14 per piece. The business model focuses on high profit margins of 80-90% through multiple product options priced from $5 to $15 each. New product templates based on pop culture could aid marketing partnerships and customer acquisition. Startup costs include a $3,500 3D printer and $150/month IT fees. Competition includes other online 3D art builders but none that print and ship the creations.
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Startup Weekend Chicago 2015 - Chews Pitch Deck
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Node Primer
Node.js is a server-side JavaScript platform that is easy to set up and use for building web applications. It has advantages like being asynchronous, having a large community and ecosystem, and allowing developers to write code in JavaScript. Companies like PayPal and Walmart have found that Node applications are faster and more scalable than alternatives.
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Machine learning is a field of study that allows computers to learn without being explicitly programmed by deriving patterns from large datasets. It involves using algorithms to analyze training data to generate a hypothesis for making predictions on test data, such as in natural language processing, data mining, and applications like IBM Watson. There are two main types of machine learning: supervised learning where correct answers are provided for learning, and unsupervised learning where algorithms must find structure in unlabeled data without guidance.
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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
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
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Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
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Docker presentation
- 1. Intro to Docker Wes Eklund LEX >> FWD
- 2. Let’s start with a problem
- 4. Solution?
- 6. ● 90% of all cargo now shipped in a standard container ● Order of magnitude reduction in cost and time to load and unload ships, trains, trucks
- 7. So now what’s Docker?
- 8. Application ‘Shipping’ Container Static website User DB Queue Web Service Dev VM QA Server Public Cloud Production Cluster Contributor’s laptop
- 9. Ok so what does that give us?
- 10. ● Content Agnostic ● Hardware Agnostic ● Content Isolation and Interaction ● Automation ● Highly efficient ● Separation of duties
- 11. Developer: Build Once, Run Anywhere
- 12. ● No worries about missing dependencies, packages and other pain points during subsequent deployments ● Run each app on its own isolated container, so you can run various version of libraries and other dependencies for each app without worrying ● Automate testing, integration, packaging ● Reduce/eliminate concerns about compatibility of different platforms, either your own or your containers ● Cheap, zero penalty container to deploy services
- 13. Operator: Configure Once, Run Anything
- 14. ● Make the entire lifecycle more efficient, consistent, and repeatable ● Increase the quality of code produced by developers ● Eliminate inconsistencies between development, test, production, and customer environments ● Support segregation of duties ● Significantly improves the speed and reliability of continuous deployment and continuous integration systems ● Because the containers are so lightweight, address significant performance, costs, deployment, and portability issues normally associated with VMs
Editor's Notes
- Multiplicity of goods Do I worry about how goods interact (Barrels next to Cars) Multiplicity of methods for transporting/storing Can I transport quickly and smoothly
- A standard container that is loaded with virtually any goods, and stays sealed until it reached final delivery In between can be loaded and unloaded, stacked, transported efficiently over long distances And transferred from one mode of transport to another
- Multiplicity of stacks Do services and apps interact appropriately An engine that enables any payload to be encapsulated as a lightweight, portable self serving box That can be manipulated using standard operations and run consistently on virtually any hardware platform Multiplicity of hardware environments Can I migrate smoothly and quickly Developer: Build Once, Run Anywhere Operator: Configure Once, Run Anything
- Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- Aka lightweight vm Network interface Own process space Can run stuff as root At a low level it’s chroot on steriods
- Can encapsulate any payload and its dependencies Using OS primitives can run consistently on virtually any hardware - VMs, bare metal, open stack, public IAAS - without modification Resource, network, and content isolation - avoids dependency hell Standard operations to run, start, stop, commit, search: Perfect for devops: CI, CD, autoscaling, hybrid clouds Lightweight, virtually no perf or startup penalty, quick to move and manipulate Developer worries about code, ops worries about infrastructure
- Aka lightweight vm Network interface Own process space Can run stuff as root At a low level it’s chroot on steriods