The document outlines the agenda for the OpenStack Summit in November 2013. The agenda includes sessions on Docker and its ecosystem, using Docker with OpenStack and Rackspace, and a cross-cloud deployment demo. Docker is presented as a solution for developing and deploying applications across multiple environments by encapsulating code and dependencies in portable containers. It can help eliminate inconsistencies between development, testing, and production environments.
Docker is a 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 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.
Docker Explained | What Is A Docker Container? | Docker Simplified | Docker T...Edureka!
( ** DevOps Training: https://www.edureka.co/devops ** )
This Docker Explained PPT will explain to you the fundamentals of Docker with a hands-on. Below are the topics covered in the PPT:
Problems Before Docker
Virtualization vs Containerization
What is Docker?
How does Docker work?
Docker Components
Docker Architecture
Docker Compose & Docker Swarm
Hands-On
Virtualization, Containers, Docker and scalable container management servicesabhishek chawla
In this presentation we take you through the concept of virtualization which includes the different types of virtualizations, understanding the Docker as a software containerization platform like Docker's Architecture, Building and running custom images in Docker containers, Scalable container management services which include overview of Amazon ECS & kubernetes and how at LimeTray we harnessed the power of kubernetes for scalable automated deployment of our microservices.
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.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
Docker allows packaging applications and dependencies into virtual containers that can run on any Linux server. This provides flexibility and portability. Docker images are lighter than virtual machines and use less storage. Docker Compose is a tool that defines and runs multi-container Docker applications using a YAML file to automate building, running, and linking containers together. It handles dependencies and startup order of containers to simplify running complex applications with multiple services.
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.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
This document outlines the curriculum for an introduction to containerization presentation. It includes slides and hands-on exercises on installing Docker, building Docker images, running containers, viewing processes inside containers, and experimenting with resource isolation using cgroups and namespaces. Attendees will build a Docker image for a sample Flask application, run the container, view logs and processes, and push the image to Docker Hub. The presentation covers definitions of key containerization concepts and the benefits of using containers.
This document provides an introduction to Docker presented by Tibor Vass, a core maintainer on Docker Engine. It outlines challenges with traditional application deployment and argues that Docker addresses these by providing lightweight containers that package code and dependencies. The key Docker concepts of images, containers, builds and Compose are introduced. Images are read-only templates for containers which sandbox applications. Builds describe how to assemble images with Dockerfiles. Compose allows defining multi-container applications. The document concludes by describing how Docker improves the deployment workflow by allowing testing and deployment of the same images across environments.
- 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.
This document provides an introduction to Docker. It begins by introducing the presenter and agenda. It then explains that containers are not virtual machines and discusses the differences in architecture and benefits. It covers the basic Docker workflow of building, shipping, and running containers. It discusses Docker concepts like images, containers, and registries. It demonstrates basic Docker commands. It shows how to define a Dockerfile and build an image. It discusses data persistence using volumes. It covers using Docker Compose to define and run multi-container applications and Docker Swarm for clustering. It provides recommendations for getting started with Docker at different levels.
Docker is a platform that allows users to build, ship, and run applications by using containers. It solves issues like dependency conflicts, portability, and consistency across development and production. Docker uses containers- isolated environments that package code and dependencies together- to deliver software quickly and reliably. Key Docker concepts include images (read-only templates for creating containers), volumes (for persistent data), registries (for sharing images), and compose files (for defining multi-container apps). Docker also provides networking and clustering functionality to connect containers across multiple hosts.
Docker is an open platform for developing, shipping, and running applications. It allows packaging applications into standardized units for software called containers that can run on any infrastructure. The key components of Docker include images, containers, a client-server architecture using Docker Engine, and registries for storing images. Images act as templates for creating containers, which are run-time instances of images. Docker provides portability and isolation of applications using containers.
Material prepared to present top government officials of NISG (National Institute for Small Governance) workshop at New Delhi by CCICI App Factory Task Force.
Docker vs VM | | Containerization or Virtualization - The Differences | DevOp...Edureka!
** Edureka DevOps Training : https://www.edureka.co/devops **
This Edureka Video on Docker vs VM (Virtual Machine) video compares the Major Differences between Docker and VM. Below are the topics covered in the video:
1. What is Virtual Machine?
2. Benefits of Virtual Machine
3. What are Docker Containers
4. Benefits of Docker Containers
5. Docker vs VM – Main Differences
6. Use Case
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
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This document provides instructions on various Docker commands and concepts. It begins with definitions of Docker and the differences between VMs and Docker containers. It then covers topics like installing Docker, finding Docker images and versions, building images with Dockerfiles, running containers with commands like docker run, and managing images and containers.
Docker is 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.
The document outlines the agenda for the OpenStack Summit in November 2013, including presentations on Docker and its ecosystem, how Docker can be used with OpenStack and Rackspace, and a demonstration of cross-cloud application deployment using Docker. Docker is presented as a solution to the "matrix from hell" of running applications across different environments by providing lightweight, portable containers that can run anywhere regardless of the operating system. The summit aims to educate attendees on Docker and showcase its integration with OpenStack for simplified and efficient application deployment and management across multiple clouds.
This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.
The document provides an introduction to Docker, containers, and the problems they aim to solve. It discusses:
- Why Docker was created - to address the "matrix from hell" of developing and deploying applications across different environments and platforms.
- How Docker works at a high level, using lightweight containers that package code and dependencies to run consistently on any infrastructure.
- Some key Docker concepts like images, containers, the Dockerfile for building images, and common Docker commands.
- Benefits of Docker for developers and operations in simplifying deployment, reducing inconsistencies, and improving portability of applications.
This document summarizes Docker, an open-source containerization platform. It discusses Docker's rapid growth since its launch 1 year prior, with over 370 contributors and 1 million downloads. Docker addresses the challenge of running applications across different environments by allowing applications and their dependencies to run in isolated containers that can be moved between servers. This eliminates inconsistencies between development and production environments. The document outlines benefits of Docker for developers, operations teams, and its role in microservices architecture.
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.
Newt Global provides DevOps transformation, cloud enablement, and test automation services. It was founded in 2004 and is headquartered in Dallas, Texas with locations in the US and India. The company is a leader in DevOps transformations and has been one of the top 100 fastest growing companies in Dallas twice. The document discusses an upcoming webinar on Docker 101 that will be presented by two Newt Global employees: Venkatnadhan Thirunalai, the DevOps Practice Leader, and Jayakarthi Dhanabalan, an AWS Solution Specialist.
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.
This document provides an introduction to Docker, including why it was created, how it works, and its growing ecosystem. Docker allows applications to be packaged with all their dependencies and run consistently across any Linux server by using lightweight virtual containers rather than full virtual machines. It solves the problem of differences between development, testing, and production environments. The document outlines the technical details and advantages of Docker, examples of how companies are using it, and the growing support in tools and platforms.
Docker is a system for running applications in lightweight containers that can be deployed across machines. It allows developers to package applications with all dependencies into standardized units for software development. Docker eliminates inconsistencies in environments and allows applications to be easily deployed on virtual machines, physical servers, public clouds, private clouds, and developer laptops through the use of containers.
This document provides an introduction and overview of Docker, including its rapid growth and adoption, key benefits for developers and operations teams, technical underpinnings, ecosystem support, use cases, and future plans. Docker provides a way to package applications into lightweight containers that are portable and can run on any infrastructure. It solves issues around dependency management and consistency across environments.
The challenge of application distribution - Introduction to Docker (2014 dec ...Sébastien Portebois
Live recording with the demos: https://www.youtube.com/watch?v=0XRcmJEiZOM
Contents
- The application distribution challenge
- The current solutions
- Introduction to Docker, Containers, and the Matrix from Hell
- Why people care: Separation of Concerns
- Technical Discussion
- Ecosystem, momentum
- How to build Docker images
- How to make containers talk to each other, how to handle data persistence
- Demo 1: isolation
- Demo 2: real case - installing Go Math! Academy, tail –f containers, unit tests
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Presentation about docker from Java User Group in Ostrava CZ (23th of November 2015). Presented by Martin Damovsky (@damovsky).
Demos are available at https://github.com/damovsky/jug-ostrava-docker
The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
This document provides an overview of Docker technologies including Docker Engine, Docker Machine, Docker Kitematic, Docker Compose, Docker Swarm, Docker Registry, Docker Content Trust, Docker Networking, and Docker Universal Control Plane. It describes what each technology is used for, provides examples, and references additional resources for further information.
Intro to Docker at the 2016 Evans Developer relations conferenceMano Marks
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.
My college ppt on topic Docker. Through this ppt, you will understand the following:- What is a container? What is Docker? Why its important for developers? and many more!
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.
Similar to Write Once and REALLY Run Anywhere | OpenStack Summit HK 2013 (20)
Immutable infrastructure with Docker and EC2dotCloud
This document discusses Gilt's strategy of using immutable infrastructure with Docker and EC2 to enable continuous delivery and minimize risk when deploying new software versions. Some key points made include:
- Gilt builds Docker containers for each new application version, creates a new "stack" of infrastructure to run the container, and uses incremental rollout and automated rollback to reduce risk.
- Immutable infrastructure emerges naturally with Docker since each version requires new containers and infrastructure rather than updating existing instances.
- Automating deployment, rollback, and incremental rollout across new infrastructure stacks reduces probability, cost and occurrences of failures when deploying new versions.
- Instant rollback is possible by moving traffic back to the previous version's infrastructure if
Spotify uses Docker and Helios to deploy over 100 backend services across 5000 servers. Docker provides repeatable deployments by running the same tested image in production. Helios ensures Docker containers are deployed and running correctly across servers. Spotify is moving more services to Docker, starting with their first Docker-based service going live that week.
John Engates, CTO at Docker, gave the keynote at dockercon14. He discussed how Docker allows developers to test and deploy applications in new ways that were previously not possible. He highlighted trends in mobility, big data/analytics, the internet of things, and social/context technologies. Engates also announced that Rackspace will offer native cloud support for Docker to allow developers to easily run Docker containers at a global scale.
Building a smarter application Stack by Tomas Doran from YelpdotCloud
This document discusses Smartstack, a solution for service discovery and load balancing in distributed systems like Docker. It addresses problems like dynamically wiring dependent microservices and handling failures gracefully. Smartstack consists of Synapse, which generates HAProxy configurations for discovery, and Nerve, which registers services and checks health. Ambassadors provide simple connections for containers. It aims to reduce complexity compared to alternatives while working on traditional infrastructure, VMs, and Docker.
This document summarizes the key events and announcements from Day 1 of DockerCon. It highlights the large number of attendees, keynotes from Red Hat executives, and the official launch of Docker Engine 1.0 and Docker Hub 1.0. It also thanks the many contributors, users, partners and open source projects that have helped Docker grow rapidly in the last 15 months since its launch.
This document discusses Docker integration with OpenStack. It summarizes that the Docker driver for Nova was accepted in Havana, the Docker plugin for Heat was accepted for Icehouse, and Docker support was added to Devstack. It also discusses running the Tempest test suite in a Docker container to test an OpenStack install provisioned by Devstack. The document provides examples of building a Docker image containing Devstack and running it, as well as applying Heat orchestration to launch a compute instance and Docker container.
Lightweight virtualization uses container technology to isolate processes and their resources through namespaces and cgroups. Docker is a container management system that provides lightweight virtualization. Baidu chose Docker for its BAE platform because containers provide better isolation than sandboxes with fewer restrictions and lower costs. Docker meets BAE's needs but was improved with additional security and resource constraints for its PAAS platform.
Deploying containers and managing them on multiple Docker hosts, Docker Meetu...dotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to Docker and all things containers, Docker Meetup at RelateIQdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Introduction to dockerfile, SF Peninsula Software Development Meetup @Guidewire dotCloud
- Dockerfiles define the components and configuration of Docker images and allow them to be built automatically.
- The FROM instruction sets the base image, RUN executes commands during the build, and EXPOSE defines exposed ports.
- Common best practices when writing Dockerfiles include adding metadata like MAINTAINER, using comments, and defining an ENTRYPOINT to configure what runs when containers start.
Introduction to Docker at SF Peninsula Software Development Meetup @GuidewiredotCloud
This document provides an introduction and overview of Docker and containers. It discusses that Docker is an open source tool that allows applications to be packaged with all their dependencies and run as isolated processes on any machine. Containers provide lightweight virtualization that improves efficiency by sharing resources but still isolating processes. The document outlines how Docker uses containers powered by Linux namespaces and cgroups to package and deploy applications easily and consistently across environments.
Dockerizing stashboard - Docker meetup at TwiliodotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Dockerizing your applications - Docker workshop @TwitterdotCloud
This document discusses how to dockerize desktop applications like Firefox by running them in Docker containers with access to the host desktop, audio devices, and data volumes. It provides instructions for downloading Docker and example Dockerfiles, building images, and running Firefox in both ephemeral and stateful containers with various volume mounting techniques to access files on the host or in data containers.
Introduction to Docker - Docker workshop @TwitterdotCloud
Docker is an open-source project to easily create lightweight, portable, self-sufficient containers from any application. The same container that a developer builds and tests on a laptop can run at scale, in production, on VMs, bare metal, OpenStack clusters, public clouds and more.
Docker links | Docker workshop #2 at TwitterdotCloud
This document provides instructions for running a Flask Python todo application with a RethinkDB database using Docker containers with links. It explains that containers should only communicate with other containers, not expose ports publicly. It shows commands to run RethinkDB, publishing the admin UI port but keeping other ports internal, and to run the frontend container, linking it to the database container. Environment variables from the linked containers are prefixed and accessible.
Dockerfile Basics | Docker workshop #2 at twitter, 2013-11-05dotCloud
This document provides an overview of Dockerfile basics including common instructions like FROM, RUN, ENTRYPOINT, EXPOSE and USER. It explains that Dockerfiles define how to build images in a simple syntax. Key points covered include using FROM to set the base image, RUN to execute commands, and ENTRYPOINT to trigger commands when a container starts. The document concludes with an exercise to build a Memcached Dockerfile and test it.
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
Choose our Linux Web Hosting for a seamless and successful online presencerajancomputerfbd
Our Linux Web Hosting plans offer unbeatable performance, security, and scalability, ensuring your website runs smoothly and efficiently.
Visit- https://onliveserver.com/linux-web-hosting/
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
Support en anglais diffusé lors de l'événement 100% IA organisé dans les locaux parisiens d'Iguane Solutions, le mardi 2 juillet 2024 :
- Présentation de notre plateforme IA plug and play : ses fonctionnalités avancées, telles que son interface utilisateur intuitive, son copilot puissant et des outils de monitoring performants.
- REX client : Cyril Janssens, CTO d’ easybourse, partage son expérience d’utilisation de notre plateforme IA plug & play.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
Are you interested in dipping your toes in the cloud native observability waters, but as an engineer you are not sure where to get started with tracing problems through your microservices and application landscapes on Kubernetes? Then this is the session for you, where we take you on your first steps in an active open-source project that offers a buffet of languages, challenges, and opportunities for getting started with telemetry data.
The project is called openTelemetry, but before diving into the specifics, we’ll start with de-mystifying key concepts and terms such as observability, telemetry, instrumentation, cardinality, percentile to lay a foundation. After understanding the nuts and bolts of observability and distributed traces, we’ll explore the openTelemetry community; its Special Interest Groups (SIGs), repositories, and how to become not only an end-user, but possibly a contributor.We will wrap up with an overview of the components in this project, such as the Collector, the OpenTelemetry protocol (OTLP), its APIs, and its SDKs.
Attendees will leave with an understanding of key observability concepts, become grounded in distributed tracing terminology, be aware of the components of openTelemetry, and know how to take their first steps to an open-source contribution!
Key Takeaways: Open source, vendor neutral instrumentation is an exciting new reality as the industry standardizes on openTelemetry for observability. OpenTelemetry is on a mission to enable effective observability by making high-quality, portable telemetry ubiquitous. The world of observability and monitoring today has a steep learning curve and in order to achieve ubiquity, the project would benefit from growing our contributor community.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
2. Agenda
• The Matrix from Hell and the need for containers
• Why Docker
• Docker Ecosystem
• Docker + OpenStack
• Docker + Rackspace
• Docker 101
• Cross Cloud Deployment Demo
• Conclusion
• Q&A
3. User DB
Static website
postgresql + pgv8 + v8
nginx 1.5 + modsecurity + openssl + bootstrap 2
Background workers
Python 3.0 + celery + pyredis + libcurl + ffmpeg + libopencv + nodejs +
phantomjs
Queue
Analytics DB
Redis + redis-sentinel
hadoop + hive + thrift + OpenJDK
Web frontend
Ruby + Rails + sass + Unicorn
API endpoint
Do services and apps
interact
appropriately?
Multiplicity of Stacks
The Challenge
Development VM
Production Cluster
Public Cloud
QA server
Disaster recovery
Contributor’s laptop
Customer Data Center
Production Servers
Can I migrate
smoothly and
quickly?
Multiplicity of
hardware
environments
Python 2.7 + Flask + pyredis + celery + psycopg + postgresql-client
4. The Matrix From Hell
Static website
?
?
?
?
?
?
?
Web frontend
?
?
?
?
?
?
?
Background workers
?
?
?
?
?
?
?
User DB
?
?
?
?
?
?
?
Analytics DB
?
?
?
?
?
?
?
Queue
?
?
?
?
?
?
?
Development
VM
QA Server
Single Prod
Server
Onsite
Cluster
Public Cloud
Contributor’s
laptop
Customer
Servers
5. Multiplicity of Goods
Do I worry about
how goods interact
(e.g. coffee beans
next to spices)
Can I transport quickly
and smoothly
(e.g. from boat to train
to truck)
Multipilicity of
methods for
transporting/storing
Cargo Transport Pre-1960
7. A standard container that is
loaded with virtually any
goods, and stays sealed until
it reaches final delivery.
…in between, can be loaded and
unloaded, stacked, transported
efficiently over long distances,
and transferred from one mode
of transport to another
Can I transport
quickly and smoothly
(e.g. from boat to
train to truck)
Multiplicity of
methods for
transporting/storing
Do I worry about
how goods interact
(e.g. coffee beans
next to spices)
Multiplicity of Goods
Solution: Intermodal Shipping Container
9. Static website
User DB
Web frontend
Queue
Analytics DB
An engine that enables any
payload to be encapsulated
as a lightweight, portable,
self-sufficient container…
Multiplicity of
hardware
environments
Development
VM
QA server
Customer Data
Center
Public Cloud
Production
Cluster
Contributor’s
laptop
Can I migrate
smoothly and quickly
…that can be manipulated using
standard operations and run
consistently on virtually any
hardware platform
Do services and apps
interact
appropriately?
Multiplicity of Stacks
Docker is a shipping container system for
code
10. Docker eliminates the matrix from Hell
Static website
Web frontend
Background workers
User DB
Analytics DB
Queue
Development
VM
QA Server
Single Prod
Server
Onsite
Cluster
Public Cloud
Contributor’s
laptop
Customer
Servers
11. Why Developers Care
• Build once…(finally) run anywhere*
• A clean, safe, hygienic and portable runtime environment for your app.
• No worries about missing dependencies, packages and other pain points during
subsequent deployments.
• Run each app in its own isolated container, so you can run various versions of libraries
and other dependencies for each app without worrying
• Automate testing, integration, packaging…anything you can script
• Reduce/eliminate concerns about compatibility on different platforms, either your own or
your customers.
• Cheap, zero-penalty containers to deploy services? A VM without the overhead of a VM?
Instant replay and reset of image snapshots? That’s the power of Docker
•
* With the 0.7 release, we will support any x86 server running a modern Linux kernel (2.6.32+)
12. Why Devops Cares?
• Configure once…run anything
• Make the entire lifecycle more efficient, consistent, and repeatable
• Increase the quality of code produced by developers.
• Eliminate inconsistencies between development, test, production, and customer
environments
• 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
13. Why it works—separation of concerns
• Dan the Developer
•
Worries about what’s ―inside‖ the
container
•
His Apps
•
•
His Package Manager
•
His Data
All Linux servers look the same
Worries about what’s ―outside‖
the container
•
•
•
•
His Libraries
•
•
His code
•
• Oscar the Ops Guy
•
Logging
Remote access
Monitoring
Network config
All containers start, stop, copy,
attach, migrate, etc. the same
way
14. More technical explanation
WHY
• Run everywhere
• Regardless of kernel version
(2.6.32+)
• Regardless of host distro
• Physical or virtual, cloud or not
• Container and host architecture
must match*
• Run anything
• If it can run on the host, it can
run in the container
• i.e. if it can run on a Linux
kernel, it can run
WHAT
• High Level—It’s a lightweight VM
•
•
•
•
Own process space
Own network interface
Can run stuff as root
Can have its own /sbin/init
(different from host)
• <<machine container>>
• Low Level—It’s chroot on
steroids
• Can also not have its own
/sbin/init
• Container=isolated processes
• Share kernel with host
• No device emulation (neither
HVM nor PV) from host)
• <<application container>>
16. Why are Docker containers lightweight?
VMs
Bins/
Libs
Bins/
Libs
Bins/
Libs
Guest
OS
Guest
OS
Guest
OS
Bins/
Libs
Original App
(No OS to take
up space, resources,
or require restart)
VMs
Every app, every copy of an
app, and every slight modification
of the app requires a new virtual server
App Δ
App
A
App
A
App
A
Bins/
App
A’
App
A
Guest
OS
Containers
Copy of
App
No OS. Can
Share bins/libs
Modified App
Copy on write allows
us to only save the diffs
Between container A
and container
A’
17. What are the basics of the Docker system?
Container A
Push
Docker
Container
Image
Registry
Search
Run
Build
Dockerfile
For
A
Docker
Container C
Host 1 OS (Linux)
Container B
Docker Engine
Container A
Source
Code
Repository
Pull
Host 2 OS (Linux)
18. Changes and Updates
Push
App Δ
App
A
Bins/
Bins/
Libs
Docker
Container
Image
Registry
Container
Mod A’
Container
Mod A’’
App Δ
Base
Container
Image
Bins/
Libs
Bins/
App
A
Bins/
Libs
Bins/
App
A’’
Update
Docker Engine
Host is now running A’’
Docker Engine
Host running A wants to upgrade to A’’.
Requests update. Gets only diffs
19. Docker Registry Enables Multi-Cloud
Any Docker Image hosted on
Any Docker Registry can be run on
Any Docker Host in seconds
37. Put it all together
Real multi-cloud deployment via Docker
38. Demo Content
• Application Containerized from Source
• Application Goes Through Development Testing
• Push to Rackspace Cloud
• Provision via Horizon – Native Havana Nova Integration
• http://asciinema.org/a/6243 - Muti cloud deployment
• http://asciinema.org/a/6244 - Nova list / Docker Ps after
deployment