Docker for the Rubyist

Sep 4, 20151 like762 views

This document provides an overview of Docker for Ruby developers. It begins with a brief introduction to Docker, explaining how it provides portable packaging and isolated runtime environments for applications using lightweight virtualization. It then discusses how Ruby and Ruby on Rails applications can be packaged and run using Docker, including tips on base images, separating services into different containers, and using Docker for development. It also introduces Flatcar, an experimental Ruby gem for bootstrapping new Rails projects with Docker integration.

bdehamer | CenturyLinkLabs
@bdehamer | @centurylinklabs
Docker for the
Rubyist
Brian DeHamer - CenturyLink Labs

Overview
• Docker 101
• Ruby + Docker
• Rails + Docker
• Flatcar

• Portable packaging format and isolated
runtime environment for applications
• Lightweight virtualization* 
 
 
Docker, what is it?
* Not really, but it's a useful starting point

guest OS
hardware
$
host OS
hypervisor
guest OS guest OS$ $
bins/libs
app 1
bins/libs
app 2
bins/libs
app 3

hardware
host OS
bins/libs
app 1
bins/libs
app 2
bins/libs
app 3

hardware
host OS
Docker Engine
bins/libs
app 1
bins/libs
app 2
bins/libs
app 3

Friendly Packaging of Existing Tech
namespaces - isolation of processes, networks, etc
cgroups - isolation of cpu, memory, etc
chroot - isolation of ﬁle system
unionfs - layered ﬁle system

Docker Ecosystem
Build
Image Format
Dockerﬁle
docker build
Ship
Docker Hub
Private Registry
docker push /
docker pull
Run
Docker Engine
Docker Compose
docker run
Docker Remote API (REST)

Running Docker
• Linux
• [ apt-get | yum ] install docker-engine
• Docker-speciﬁc distros: CoreOS, RancherOS, etc
• OSX / Windows
• Requires a Linux VM
• boot2docker Docker Toolbox
*

Ofﬁcial OS Images
Image Name Size
fedora:21 241 MB
ubuntu:trusty 188 MB
debian:jessie 125 MB
alpine:3.2 5 MB
busybox:latest 2 MB
scratch 0 B

Ofﬁcial Language Images
Image Name Size
rails:4.2 824 MB
ruby:2.2 717 MB
python:3.4 754 MB
node:0.12 706 MB
java:7-jdk 586 MB
golang:1.4 514 MB

Smaller Ruby Images
• centurylink/ruby-base
• ~350MB
• Debian based
• Tags available for Ruby 1.9, 2.0, 2.1, 2.2
• Ofﬁcial repo now has "slim" images
• Use Alpine and roll your own!
*

Drive Docker via Ruby
*
• Docker Remote API (REST / JSON)
• All features exposed in Docker CLI available
• Client libraries available for most languages
• Ruby gem: docker-api (swipely/docker-api)

Docker as Packaging for Ruby Apps
docker run myapp
vs
Ruby + OS libs + Bundler + Gems + myapp.rb

Docker + Rails Tips
• Choose your base image
• rails (824 MB)
• centurylink/ubuntu-rails (571 MB)
• centurylink/debian-rails (517 MB)
• centurylink/alpine-rails (475 MB)
• Roll your own

Docker + Rails Tips
• Embrace "One Service, One Container
• Separate Rails and DB containers
• Service discovery via container links and exposed
ports (at least for the simple cases)
link
DBWeb
EXPOSE 5432

Docker + Rails Tips
• Use Docker for your dev environment
• Alternative to RVM or rbenv?
• Volume mount source code into the container
• Use docker exec for rails, rake, bundle commands
• Tie it all together with Docker Compose

Flatcar
• Bootstrap new Rails + Docker projects
• Experimental gem
• Thin wrapper around rails new
• Generates docker-compose.yml for development
• Generates Dockerfiles for ﬁnal packaging
*

bdehamer | CenturyLinkLabs
@bdehamer | @centurylinklabs
Thanks!
Brian DeHamer - CenturyLink Labs

The document summarizes a Docker Engine breakout session that covered: - An overview of Docker Engine, including key facts about its contributors and development. - New features in Docker Engine 1.7.0, including an experimental binary, a new networking model, and improved network performance. - Upcoming priorities like better tooling, security enhancements, and improved management of networks and volumes. A demo was also planned to showcase Docker Engine capabilities.

Shipping python project by dockerWei-Ting Kuo

This document discusses how to use Docker to containerize and deploy Python web applications. It provides steps to install Docker, build a sample Flask application into a Docker image, run the container locally, and deploy the containerized application to AWS. Key points covered include using Dockerfiles to create images, the Docker index for sharing images, and port mapping when running containers.

Introduction to Docker & CoreOS - Symfony User Group CologneD

This document provides an introduction and overview of Docker and CoreOS. It describes Docker as a tool for isolation processes in lightweight Linux containers and discusses CoreOS, a minimal Linux distribution focused on running modern infrastructure stacks. CoreOS utilizes Docker containers and tools like Etcd for service discovery, Locksmith for updates, Cloud Config for initialization, Flannel for networking, and Fleet for cluster management.

DockerCon SF 2015: Networking BreakoutDocker, Inc.

This document provides an overview of Docker's new networking capabilities through libnetwork. It introduces libnetwork, which provides a pluggable driver-based networking stack for containers. Libnetwork implements the Container Network Model and provides APIs for creating and managing networks and endpoints. It supports multiple networking drivers like bridge and overlay. The goals are to make networking and services first-class objects in Docker and span networks across multiple hosts. The presentation encourages trying the new networking features in Docker experimental and contributing to libnetwork.

Introducción a contenedores DockerSoftware Guru

Erlang on OSvZvi Avraham

This document discusses how to port Erlang and OTP to run on OSv without forking or executing external processes. Erlang ports allow communication with external processes but rely on forking and executing the port executable. As OSv does not support forking or execution, an alternative approach for Erlang ports is needed. Suggested approaches include using linked-in drivers written as shared objects, NIFs, or a custom in-process protocol to communicate with external processes without forking.

Containerization and DockerMegha Bansal

Introduction to dockerWalid Ashraf

Docker is an open platform for developing, shipping, and running applications. It allows separating applications from infrastructure and treating infrastructure like code. Docker provides lightweight containers that package code and dependencies together. The Docker architecture includes images that act as templates for containers, a client-server model with a daemon, and registries for storing images. Key components that enable containers are namespaces, cgroups, and capabilities. The Docker ecosystem includes services like Docker Hub, Docker Swarm for clustering, and Docker Compose for orchestration.

Containers in the CloudJames Darrell Pratt

This document discusses containers in cloud computing. It begins with explaining why containers are useful for complex systems that need to deploy the same payloads across multiple environments like QA, staging and production servers. It then defines containers as isolated environments similar to virtual machines but with less overhead. The document provides a history of container technologies over time like chroot, LXC and Docker. It describes Docker as open source software that builds on LXC and provides a portable format and runtime for deploying applications in containers with optimized layers and dependency management. Finally, it introduces container orchestration tools like Docker Swarm for managing and provisioning multi-container applications across clusters with services like discovery, upgrades and load balancing.

DockerVitaly Tsaplin

Docker is an open platform for developing, shipping, and running applications. It allows developers to package applications with all their dependencies into standardized executable units called containers that can run on any Linux server. Containers provide faster delivery of applications, easier deployment and scaling, and higher density by running more workloads on a single machine compared to traditional virtual machines. Docker uses a layered filesystem and images to create lightweight containers that share resources and isolate processes. Common tools used with Docker include Docker Engine, Docker Compose, Docker Machine, and Docker Swarm.

Introduction to Docker - Docker workshop @TwitterdotCloud

Angular boilerplate generatorVincent De Smet

Fedora Atomic Hostrranjithrajaram

Fedora Atomic is a minimal OS designed specifically for running containers. It uses rpm-ostree for atomic updates which allow the OS filesystem to be updated immutably and reliably through packages. Some key components include Docker for containers, Kubernetes for orchestration, and Cockpit for a web-based management interface. The demo would show how to use cloud-init to customize Atomic hosts during deployment, install and use Cockpit to manage containers, and understand how the atomic command works.

Ruby and Docker on RailsMuriel Salvan

This document summarizes Muriel Salvan's presentation on Docker and cargo transport. It discusses how Docker can be used to containerize applications and services, create images from Dockerfiles, run containers from images, and deploy images to registries for sharing. Examples are given on building Ruby and Rails images, running a clustered Rails application in containers, and using a proxy container to load balance requests. Performance benefits of Docker are highlighted such as faster launch times and consistent memory usage across containers.

Introduction to docker securityWalid Ashraf

Docker introductiondotCloud

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.

Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh

Michigan IT Symposium 2017 - Container BOFJeffrey Sica

This document summarizes a containers BoF (Birds of a Feather) session with information on container technologies and orchestration. It provides details on container usage for development vs production environments. For development, it recommends Docker and docker-compose. For production, it recommends orchestration tools like Docker Swarm, Kubernetes, and Mesos to manage container scheduling and lifecycles at scale. Meeting rooms are provided for discussions around development vs production container uses.

Introduction to dockerJim Yeh

Docker is an open platform for developing, shipping, and running applications. It aims to solve the problem of maintaining different application versions across multiple platforms and servers. Docker allows applications to be packaged into standardized units called containers that contain all their dependencies so they can run reliably from one computing environment to another. Containers operate much more efficiently at runtime than virtual machines, using less memory and CPU resources. Docker images provide a lightweight template for creating containers which bundle application code and dependencies. This allows applications to be easily deployed and scaled across multiple machines.

Develop with docker 2014 augVincent De Smet

This document summarizes Docker concepts and provides steps for a local Docker development setup. It introduces Docker images, containers, and registries. It then outlines requirements for development and production configurations and provides examples of setting up a Node.js/Angular frontend and Django backend using Docker images. The document concludes with notes on continuous integration and architecture options.

Docker IntroductionSparkbit

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.

Understand how docker worksJustin Li

Docker uses virtualization techniques like namespaces and cgroups to isolate processes and share resources efficiently across multiple Linux containers. Namespaces isolate things like process IDs, network interfaces, and mounted filesystems between containers, while cgroups limit resources like CPU and memory for containers. AuFS combines multiple filesystem layers into one for containers. Docker builds on these technologies to package applications and their dependencies into lightweight Linux containers that can run virtually anywhere.

Docker introduction for Carbon ITyannick grenzinger

Docker allows for the use of lightweight containers that share the host operating system kernel. Containers isolate applications from one another and provide a way to package applications with their dependencies. Containers use resource isolation features and union file systems for efficiency. Docker images are built from layers and can be distributed. The Docker ecosystem includes tools for the container lifecycle, networking, storage, and distribution of images.

Virtual Meetup Docker + Arm: Building Multi-arch Apps with BuildxDocker, Inc.

This document discusses building multi-architecture Docker images using Docker Buildx. It introduces the concepts of multi-architecture images, describes the traditional method of building separate images for each architecture and combining them with manifest lists, and recommends using Buildx which can build images for multiple architectures simultaneously during a single build. Buildx allows building on the host architecture natively or emulating other architectures. The document emphasizes that applications should support multiple platforms and architectures, and encourages always using multi-stage Dockerfiles and considering Buildx as an improved alternative to the older manifest-based approach.

docker installation and basicsWalid Ashraf

This document provides instructions on installing and using Docker on Linux (Ubuntu) and Windows. It discusses installing Docker on Ubuntu, basic Docker commands like images, ps, pull, run options for ports, volumes, and other commands. For Windows, it recommends using Docker Toolbox which includes Docker Machine, Engine, Compose and Kitematic GUI. It also covers installing the newer Docker for Windows which requires Windows 10 Pro/Enterprise with Hyper-V enabled.

Docker IntroductionJeffrey Ellin

Docker is a system for running applications securely isolated in a container to provide a consistent deployment environment. The document introduces Docker, discusses the challenges of deploying applications ("the matrix from hell"), and how Docker addresses these challenges by allowing applications and their dependencies to be packaged into lightweight executable containers that can run on any infrastructure. It also summarizes key Docker tools like Docker Compose for defining and running multi-container apps, Docker Machine for provisioning remote Docker hosts in various clouds, and Docker Swarm for clustering Docker hosts.

Project MobyNeependra Khare

Moby is a project that aims to build specialized container systems by assembling containerized components. It uses Docker's underlying container and image technologies but is intended for system architects rather than developers. The Moby project includes components like containerd, runc, and LinuxKit. Moby-tool allows building systems by configuring and assembling different container images specified in a YAML configuration file. It produces artifacts like ISOs and AMIs. The goal is to build secure, modern systems using containers with read-only roots and minimal privileges.

Virtual Machines and DockerDanish Khakwani

IBM Bluemix Paris Meetup #14 - Le Village by CA - 20160413 - Introduction à D...IBM France Lab

This document discusses Docker and how IBM uses Docker for ODM (Operational Decision Management). Some key points: - Docker allows decoupling applications from the underlying infrastructure and providing consistent runtime environments and operations. - IBM leverages Docker for ODM on Cloud, running ODM in Docker containers on a predefined set of VMs managed by Docker Swarm. - Internally, IBM is working to Dockerize existing ODM runtimes by running product components like RES and Decision Center in separate Docker containers connected via REST APIs. This aims to provide a homogeneous software delivery, topology and operations using Docker.

Upping your NiFi Game with DockerAldrin Piri

More Related Content

What's hot (20)

Containers in the CloudJames Darrell Pratt

DockerVitaly Tsaplin

Introduction to Docker - Docker workshop @TwitterdotCloud

Angular boilerplate generatorVincent De Smet

Fedora Atomic Hostrranjithrajaram

Ruby and Docker on RailsMuriel Salvan

Introduction to docker securityWalid Ashraf

Docker introductiondotCloud

Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh

Michigan IT Symposium 2017 - Container BOFJeffrey Sica

Introduction to dockerJim Yeh

Develop with docker 2014 augVincent De Smet

Docker IntroductionSparkbit

Understand how docker worksJustin Li

Docker introduction for Carbon ITyannick grenzinger

Virtual Meetup Docker + Arm: Building Multi-arch Apps with BuildxDocker, Inc.

docker installation and basicsWalid Ashraf

Docker IntroductionJeffrey Ellin

Project MobyNeependra Khare

Virtual Machines and DockerDanish Khakwani

Containers in the CloudJames Darrell Pratt

DockerVitaly Tsaplin

Introduction to Docker - Docker workshop @TwitterdotCloud

Angular boilerplate generatorVincent De Smet

Fedora Atomic Hostrranjithrajaram

Ruby and Docker on RailsMuriel Salvan

Introduction to docker securityWalid Ashraf

Docker introductiondotCloud

Performance comparison between Linux Containers and Virtual MachinesSoheila Dehghanzadeh

Michigan IT Symposium 2017 - Container BOFJeffrey Sica

Introduction to dockerJim Yeh

Develop with docker 2014 augVincent De Smet

Docker IntroductionSparkbit

Understand how docker worksJustin Li

Docker introduction for Carbon ITyannick grenzinger

Virtual Meetup Docker + Arm: Building Multi-arch Apps with BuildxDocker, Inc.

docker installation and basicsWalid Ashraf

Docker IntroductionJeffrey Ellin

Project MobyNeependra Khare

Virtual Machines and DockerDanish Khakwani

Similar to Docker for the Rubyist (20)

IBM Bluemix Paris Meetup #14 - Le Village by CA - 20160413 - Introduction à D...IBM France Lab

Upping your NiFi Game with DockerAldrin Piri

Dockerize the Worlddamovsky

Docker from A to Z, including Swarm and OCCSFrank Munz

This document provides an overview of Docker from A to Z including using Docker with Oracle Container Cloud Service. It discusses basics of Docker including how it provides isolation using Linux namespaces and cgroups. It compares Docker containers to virtual machines and covers Docker images, containers, limitations, networking, security concerns and suggestions. It also discusses using Docker with Oracle technologies including Dockerfiles on GitHub, the Oracle Container Registry, and Oracle Container Cloud Service.

Docker for the new Era: Introducing Docker,its components and toolsRamit Surana

This document provides an overview of Docker, including: - Docker enables building applications from components and eliminates friction between development, QA and production environments. - Other container options include LXC, LXD and OpenVZ, but Docker has gained popularity for its ease of use. - Docker components include images, containers, registries, and more. - Docker Hub and Quay.io are popular registries for finding and sharing Docker images. - Docker Swarm and Docker Compose allow orchestrating multiple Docker containers.

From Docker Swarm to OCCS and Wercker: Live-hacking at Oracle CODE Mexico 2017Frank Munz

Cohesion Techsessie Docker - Daniel PalstraDaniel Palstra

This document summarizes a presentation about Docker. It discusses why Docker is useful for cloud computing, how it aims to reduce the time between writing code and deploying it, and how Docker is now widely used without much notice. It then covers topics like the difference between Docker images and containers, building Dockerfiles, linking and networking containers, logging inspection, the Docker Hub registry, and orchestration tools like Docker Machine, Swarm and Compose. The presentation highlights pros like standardized deployments and easy DevOps workflows, and cons like complexity and a rapidly evolving ecosystem.

Rails Applications with DockerLaura Frank Tacho

Oracle WebLogic Server 12c with DockerGuatemala User Group

This document discusses Oracle WebLogic Server 12c running with Docker containers. It begins with introductions of Bruno Borges from Oracle and Dr. Frank Munz. It then provides an overview of Docker and how it differs from virtualization. Docker images and containers are explained. Using Docker with clouds is discussed. Finally, running WebLogic Server within a Docker container is covered, including what is supported and example Dockerfiles and scripts.

Docker.pptxbalaji257

This document provides an introduction and overview of Docker and containers. It discusses what containers are, how they differ from virtual machines, and how Docker works. Key points covered include common Docker commands, the Docker architecture, building images with Dockerfiles, and using Docker Compose to run multi-container applications. The benefits of containers for streamlining deployment and rapid scaling are also highlighted.

Docker for DummiesRoel Hartman

You might (or might not) have heard of Docker. But you have no idea what it is and why you should care. But if you are a database or APEX developer and still work with Virtual Machines, it is about time to broaden your horizon. In this session you'll learn what Docker is and how you can benefit from it in your daily work. In this presentation we will walk through the following subjects: - What is Docker - Where do I get my images - Pull an image - Start a Docker container / Stop / Restart - Use a Docker container for APEX Development : Via the browser, SQL Developer, SQL Plus, etc - Make host directories accessible within the container - Use scripts to modify the image or create your own one

Docker in the Oracle Universe / WebLogic 12c / OFM 12cFrank Munz

This document discusses Docker and provides an overview presented by Frank Munz. Some key points: - Docker is an open-source container technology that provides portable application isolation using Linux kernel features like namespaces and cgroups. - Docker images contain layered filesystems for applications and dependencies. Containers run the images and provide isolated, lightweight runtimes. - Docker solves issues around environment consistency by packaging applications and dependencies together. Images can be pulled from public registries or built locally. - Security with Docker involves using trusted images, dropping privileges, and combining with tools like SELinux. Public clouds provide additional isolation over plain Docker containers. - Oracle supports Docker for several of its products like Web

IBM WebSphere Application Server traditional and DockerDavid Currie

IBM WebSphere Application Server can run in both traditional and Docker environments. Docker provides benefits like consistency across environments, faster build and deployment, higher server density, and separation of concerns between development and operations. IBM supports WebSphere Liberty and traditional editions running in Docker containers. Dockerfiles are available to build WebSphere images containing application servers, deployment managers, and other software components. Organizations can use Docker to improve the deployment and management of WebSphere environments.

Docker and kubernetesDongwon Kim

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.

OpenStack SummitDocker, Inc.

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.

Docker Kubernetes IstioAraf Karsh Hamid

This document provides an overview of Docker concepts including containers, images, Dockerfiles, and the Docker architecture. It defines key Docker terms like images, containers, and registries. It explains how Docker utilizes Linux kernel features like namespaces and control groups to isolate containers. It demonstrates how to run a simple Docker container and view logs. It also describes the anatomy of a Dockerfile and common Dockerfile instructions like FROM, RUN, COPY, ENV etc. Finally, it illustrates how Docker works by interacting with the Docker daemon, client and Docker Hub registry to build, run and distribute container images.

Docker module 1Liang Bo

This two-day training covers Docker concepts including installation, working with containers and images, building images with Dockerfiles, and integrating Docker with OpenStack. Day one focuses on the Docker introduction, installation, containers, images, Dockerfiles, and using Nova to run Docker containers as compute instances. It also covers using Glance as a Docker image registry. Day two covers Docker clustering with Kubernetes, networking, Docker Hub, case studies, and the Docker source code. It concludes with developing platforms and running Hadoop on Docker containers.

Up and running with dockerMichelle Liu

DockerCodeister Technolgoies

Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. By doing so, thanks to the container, the developer can rest assured that the application will run on any other Linux machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. In a way, Docker is a bit like a virtual machine. But unlike a virtual machine, rather than creating a whole virtual operating system, Docker allows applications to use the same Linux kernel as the system that they’re running on and only requires applications be shipped with things not already running on the host computer. This gives a significant performance boost and reduces the size of the application.

DockerCon EU 2015 BarcelonaRoman Dembitsky

IBM Bluemix Paris Meetup #14 - Le Village by CA - 20160413 - Introduction à D...IBM France Lab

Upping your NiFi Game with DockerAldrin Piri

Dockerize the Worlddamovsky

Docker from A to Z, including Swarm and OCCSFrank Munz

Docker for the new Era: Introducing Docker,its components and toolsRamit Surana

From Docker Swarm to OCCS and Wercker: Live-hacking at Oracle CODE Mexico 2017Frank Munz

Cohesion Techsessie Docker - Daniel PalstraDaniel Palstra

Rails Applications with DockerLaura Frank Tacho

Oracle WebLogic Server 12c with DockerGuatemala User Group

Docker.pptxbalaji257

Docker for DummiesRoel Hartman

Docker in the Oracle Universe / WebLogic 12c / OFM 12cFrank Munz

IBM WebSphere Application Server traditional and DockerDavid Currie

Docker and kubernetesDongwon Kim

OpenStack SummitDocker, Inc.

Docker Kubernetes IstioAraf Karsh Hamid

Docker module 1Liang Bo

Up and running with dockerMichelle Liu

DockerCodeister Technolgoies

DockerCon EU 2015 BarcelonaRoman Dembitsky

Recently uploaded (20)

Automation Techniques in RPA - UiPath CertificateVICTOR MAESTRE RAMIREZ

Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik

Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe. We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved? Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security. Talk from SciFiDevCon 2025 https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5

EASEUS Partition Master Crack + License Codeaneelaramzan63

Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev

If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic? Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search. Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval. GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.

Adobe After Effects Crack FREE FRESH version 2025kashifyounis067

🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍 Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited. Here's a more detailed breakdown: Motion Graphics: . After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations. Visual Effects: . It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements. Video Compositing: . After Effects allows users to combine multiple video clips, images, and graphics to create a final, cohesive visual. Animation: . It uses keyframes to create smooth, animated sequences, allowing for precise control over the movement and appearance of objects. Integration with Adobe Creative Cloud: . After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro. Post-Production Tool: . After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.

Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Dele Amefo

Avast Premium Security Crack FREE Latest Version 2025mu394968

🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍 Avast Premium Security is a paid subscription service that provides comprehensive online security and privacy protection for multiple devices. It includes features like antivirus, firewall, ransomware protection, and website scanning, all designed to safeguard against a wide range of online threats, according to Avast. Key features of Avast Premium Security: Antivirus: Protects against viruses, malware, and other malicious software, according to Avast. Firewall: Controls network traffic and blocks unauthorized access to your devices, as noted by All About Cookies. Ransomware protection: Helps prevent ransomware attacks, which can encrypt your files and hold them hostage. Website scanning: Checks websites for malicious content before you visit them, according to Avast. Email Guardian: Scans your emails for suspicious attachments and phishing attempts. Multi-device protection: Covers up to 10 devices, including Windows, Mac, Android, and iOS, as stated by 2GO Software. Privacy features: Helps protect your personal data and online privacy. In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.

Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum

Requirements in Engineering AI- Enabled Systems: Open Problems and Safe AI Sy...Lionel Briand

Douwan Crack 2025 new verson+ License codeaneelaramzan63

Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup

In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals. This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft. What You’ll Learn in Part 2: Explore real-world nonprofit use cases and success stories. Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!

Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot

Get & Download Wondershare Filmora Crack Latest [2025]saniaaftab72555

Copy & Past Link 👉👉 https://dr-up-community.info/ Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.

Interactive odoo dashboards for sales, CRM , Inventory, Invoice, Purchase, Pr...AxisTechnolabs

Interactive Odoo Dashboard for various business needs can provide users with dynamic, visually appealing dashboards tailored to their specific requirements. such a module that could support multiple dashboards for different aspects of a business ✅Visit And Buy Now : https://bit.ly/3VojWza ✅This Interactive Odoo dashboard module allow user to create their own odoo interactive dashboards for various purpose. App download now : Odoo 18 : https://bit.ly/3VojWza Odoo 17 : https://bit.ly/4h9Z47G Odoo 16 : https://bit.ly/3FJTEA4 Odoo 15 : https://bit.ly/3W7tsEB Odoo 14 : https://bit.ly/3BqZDHg Odoo 13 : https://bit.ly/3uNMF2t Try Our website appointment booking odoo app : https://bit.ly/3SvNvgU 👉Want a Demo ?📧 [email protected] ➡️Contact us for Odoo ERP Set up : 091066 49361 👉Explore more apps: https://bit.ly/3oFIOCF 👉Want to know more : 🌐 https://www.axistechnolabs.com/ #odoo #odoo18 #odoo17 #odoo16 #odoo15 #odooapps #dashboards #dashboardsoftware #odooerp #odooimplementation #odoodashboardapp #bestodoodashboard #dashboardapp #odoodashboard #dashboardmodule #interactivedashboard #bestdashboard #dashboard #odootag #odooservices #odoonewfeatures #newappfeatures #odoodashboardapp #dynamicdashboard #odooapp #odooappstore #TopOdooApps #odooapp #odooexperience #odoodevelopment #businessdashboard #allinonedashboard #odooproducts

Solidworks Crack 2025 latest new + license codeaneelaramzan63

Revolutionizing Residential Wi-Fi PPT.pptxnidhisingh691197

Top 10 Client Portal Software Solutions for 2025.docxPortli

Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185

GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise. https://arxiv.org/abs/2501.16495

Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

FL Studio Producer Edition Crack 2025 Full Versiontahirabibi60507

Automation Techniques in RPA - UiPath CertificateVICTOR MAESTRE RAMIREZ

Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik

EASEUS Partition Master Crack + License Codeaneelaramzan63

Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev

Adobe After Effects Crack FREE FRESH version 2025kashifyounis067

Salesforce Data Cloud- Hyperscale data platform, built for Salesforce.Dele Amefo

Avast Premium Security Crack FREE Latest Version 2025mu394968

Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum

Requirements in Engineering AI- Enabled Systems: Open Problems and Safe AI Sy...Lionel Briand

Douwan Crack 2025 new verson+ License codeaneelaramzan63

Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup

Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot

Get & Download Wondershare Filmora Crack Latest [2025]saniaaftab72555

Interactive odoo dashboards for sales, CRM , Inventory, Invoice, Purchase, Pr...AxisTechnolabs

Solidworks Crack 2025 latest new + license codeaneelaramzan63

Revolutionizing Residential Wi-Fi PPT.pptxnidhisingh691197

Top 10 Client Portal Software Solutions for 2025.docxPortli

Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185

Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

FL Studio Producer Edition Crack 2025 Full Versiontahirabibi60507

Docker for the Rubyist

1. bdehamer | CenturyLinkLabs @bdehamer | @centurylinklabs Docker for the Rubyist Brian DeHamer - CenturyLink Labs

3. Overview • Docker 101 • Ruby + Docker • Rails + Docker • Flatcar

4. Docker 101

5. • Portable packaging format and isolated runtime environment for applications • Lightweight virtualization*      Docker, what is it? * Not really, but it's a useful starting point

6. guest OS hardware $ host OS hypervisor guest OS guest OS$ $ bins/libs app 1 bins/libs app 2 bins/libs app 3

7. hardware host OS bins/libs app 1 bins/libs app 2 bins/libs app 3

8. hardware host OS Docker Engine bins/libs app 1 bins/libs app 2 bins/libs app 3

9. Friendly Packaging of Existing Tech namespaces - isolation of processes, networks, etc cgroups - isolation of cpu, memory, etc chroot - isolation of ﬁle system unionfs - layered ﬁle system

10. Docker Ecosystem Build Image Format Dockerﬁle docker build Ship Docker Hub Private Registry docker push / docker pull Run Docker Engine Docker Compose docker run Docker Remote API (REST)

11. Running Docker • Linux • [ apt-get | yum ] install docker-engine • Docker-speciﬁc distros: CoreOS, RancherOS, etc • OSX / Windows • Requires a Linux VM • boot2docker Docker Toolbox *

13. +

14. Ofﬁcial OS Images Image Name Size fedora:21 241 MB ubuntu:trusty 188 MB debian:jessie 125 MB alpine:3.2 5 MB busybox:latest 2 MB scratch 0 B

15. Ofﬁcial Language Images Image Name Size rails:4.2 824 MB ruby:2.2 717 MB python:3.4 754 MB node:0.12 706 MB java:7-jdk 586 MB golang:1.4 514 MB

16. Smaller Ruby Images • centurylink/ruby-base • ~350MB • Debian based • Tags available for Ruby 1.9, 2.0, 2.1, 2.2 • Ofﬁcial repo now has "slim" images • Use Alpine and roll your own! *

17. Drive Docker via Ruby * • Docker Remote API (REST / JSON) • All features exposed in Docker CLI available • Client libraries available for most languages • Ruby gem: docker-api (swipely/docker-api)

18. Docker as Packaging for Ruby Apps docker run myapp vs Ruby + OS libs + Bundler + Gems + myapp.rb

19. +

20. Docker + Rails Tips • Choose your base image • rails (824 MB) • centurylink/ubuntu-rails (571 MB) • centurylink/debian-rails (517 MB) • centurylink/alpine-rails (475 MB) • Roll your own

21. Docker + Rails Tips • Embrace "One Service, One Container • Separate Rails and DB containers • Service discovery via container links and exposed ports (at least for the simple cases) link DBWeb EXPOSE 5432

22. Docker + Rails Tips • Use Docker for your dev environment • Alternative to RVM or rbenv? • Volume mount source code into the container • Use docker exec for rails, rake, bundle commands • Tie it all together with Docker Compose

23. Flatcar • Bootstrap new Rails + Docker projects • Experimental gem • Thin wrapper around rails new • Generates docker-compose.yml for development • Generates Dockerfiles for ﬁnal packaging *

24. bdehamer | CenturyLinkLabs @bdehamer | @centurylinklabs Thanks! Brian DeHamer - CenturyLink Labs

Docker for the Rubyist

Recommended

More Related Content

What's hot (20)

Similar to Docker for the Rubyist (20)

Recently uploaded (20)

Docker for the Rubyist