This document discusses OpenShift, an open source Platform as a Service (PaaS) from Red Hat. It provides an overview of OpenShift Origin, including that it runs on Linux, uses brokers and nodes to manage containers called gears that deploy user applications using cartridges. It also summarizes how to get involved with the OpenShift community through forums, blogs, GitHub and IRC/email lists. The conclusion encourages attendees to join the community as PaaS can benefit both developers and sysadmins.
OpenShift Origin: Build a PaaS Just Like Red HatsMark Atwood
Red Hat is introducing OpenShift Origin, an open source Platform as a Service (PaaS) based on the components of Red Hat's OpenShift product. OpenShift Origin allows users to deploy their own open source PaaS on their own infrastructure and customize it to meet their needs without vendor lock-in. It includes components for managing applications and containers as well as REST APIs and a command line client. Red Hat developed OpenShift Origin to share their PaaS technology openly via an open source project while still offering a hosted version as a product.
Openshift: The power of kubernetes for engineers - Riga Dev Days 18Jorge Morales
1. The document introduces OpenShift as a container application platform based on Kubernetes that provides developers with tools for building, deploying and managing containerized applications.
2. It discusses key OpenShift concepts like pods, services, projects and image registries that allow grouping and connecting container workloads as well as storing and distributing container images.
3. Hands-on examples and tutorials are provided to demonstrate how developers can use OpenShift to develop multi-container applications from source code to deployment through features like source-to-image builds, deployments and routes.
This document discusses OpenShift v3 and how it can help organizations accelerate development at DevOps speed. It provides an overview of Kubernetes and OpenShift's technical architecture, how OpenShift enables continuous delivery and faster cycle times from idea to production. It also summarizes benefits for developers, integrations, administration capabilities, and the OpenShift product roadmap.
This document discusses testing Kubernetes and OpenShift at scale. It describes installing large clusters of 1000+ nodes, using scalability test tools like the Kubernetes performance test repo and OpenShift SVT repo to load clusters and generate traffic. Sample results show loading clusters with thousands of pods and projects, and peaks in master node resource usage when loading and deleting hundreds of pods simultaneously.
2013-04-14 Portland OpenShift Origin Community Day
OpenShift Origin Internals
Presenters: Bill DeCoste & Krishna Raman
In this talk. Bill and Krishna will dive deep into Origin's internals and architecture. Topics covered include a platform overview of the role Brokers and Cartridges play. An examination of system resources and application containers called "Gears" and "Nodes."
- The document discusses deploying OpenShift Origin on OpenStack. It begins with overviews of OpenStack, an open source cloud computing platform, and OpenShift Origin, the open source version of Red Hat's OpenShift Platform-as-a-Service (PaaS). It then demonstrates provisioning an OpenStack environment and deploying OpenShift Origin on top of it.
Putting The PaaS in OpenStack with Diane Mueller @RedHat OpenShift Origin
RedHat has created it's own OpenStack distribution that is now in preview and still a bit rough around the edges, but promises to include what is needed to deploy & evaluate a truly & complete Open Cloud environment. In addition, Red Hat wants there to be a widely used open-source community developed PaaS model for the cloud which includes being open to participation by a community of peers.
To really create a open cloud environment and to make it useful, you need to complete the stack with an PaaS. Just getting a cloud environment up and running is no longer enough. The challenge that OpenStack faces is how to get people, applications and services working on OpenStack out of the box.
One approach to the problem is to combining all the necessary pieces that go into building an OpenStack cloud (compute, storage, networking, management) with a platform as a service (PaaS) into your OpenStack distribution.
OpenShift Origin project is licensed under the Apache License 2.0, a permissive and widely-used open source license, which was selected so that the code would be available for use by the broadest range of
individuals and organizations. This is the same license chosen by the OpenStack project, for much the same reason. This license is already well known and understood by individuals and organizations already involved in cloud computing and in enterprise scale open source development.
In this session, I'll discuss RedHat's efforts with OpenStack, Fedora, & OpenShift Origin to create a more complete OpenStack distribution. Our community initiatives to ensure Origin easily and seamlessly integrates on any OpenStack distribution and how to you can add Origin into your own OpenStack distributions.
http://openstacksummitapril2013.sched.org/event/93a0a84f3623c2e1cdf9563b72f9e351#.UW2YmnAnsUU
Source - https://www.openmaru.io/?p=3228
쿠버네티스를 이해하기 위해서 반드시 알아야 하는 개념이 불변의 인프라스트럭처 입니다.
불변과 가변의 인프라스트럭처에서 서버 운영 방법을 비교하여 개념과 장점을 설명 드립니다.
이제 IT 환경이 왜 머신 중심에서 애플리케이션 중심으로 전환되고 있는지에 대해서 살펴보겠습니다.
불변의 인프라는 고급 도자기 찻잔과 비유 될 수 있습니다.
일회용 종이컵은 한번 쓰면 버리고, 구매하는데도 큰 부담이 없습니다.
하지만 고급 도자기 찻잔은 어떨까요?애지중지 관리하며 깨지면 모든 것이 끝나게 됩니다.
Extending OpenShift Origin: Build Your Own Cartridge with Bill DeCoste of Red...OpenShift Origin
Extending OpenShift Origin: Build Your Own Cartridge
Presenters: Bill DeCoste
Cartridges allow developers to provide services running on top of the Red Hat OpenShift Platform-as-a-Service (PaaS). OpenShift already provides cartridges for numerous web application frameworks and databases. Writing your own cartridges allows you to customize or enhance an existing service, or provide new services. In this session, the presenter will discuss best practices for cartridge development and the latest changes in the OpenShift cartridge support.
* Latest changes made in the platform to ease cartridge development
* OpenShift Cartridges vs. plugins
* Outline for development of a new cartridge
* Customization of existing cartridges
* Quickstarts: leveraging a cartridge or cartridges to provide a complete application
CONTAINERS WORKSHOP DURING SAUDI HPC 2016 : DOCKER 101, DOCKER, AND ITS ECO SYSTEM FOR DISTRIBUTED SYSTEMS by Walid Shaari
This workshop will cover the Theory and hands-on of Docker containers, and Its eco system. The foundations of the Docker platform, including an overview of the platform system components, images, containers and repositories, installation , using Docker containers from repositories e.g. dockerhub, how to create a container using Dockerfile, containers development life cycle. The strategy is to demonstrate through "live demo, and shared exercise" the reuse and customization of components to build a distributed system case service gradually
http://www.hpcsaudi.com/
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.
OpenShift In a Nutshell - Episode 05 - Core Concepts Part IBehnam Loghmani
Episode 05 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about core concepts in openshift.
Part 1 include concepts of Containers, Images, Pods and services
I hope you will find it useful.
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.
OpenShift In a Nutshell - Episode 03 - Infrastructure part IBehnam Loghmani
Episode 03 of "OpenShift in a nutshell" presentations in Iran OpenStack community group
This episode is about master's components and high availability masters.
I hope you will find it useful.
One of the impediments to becoming an active technical contributor in the OpenStack community is setting up an efficient R&D environment which includes deploying a simple cloud. Using RDO-manager, get a basic cloud up and running with the fewest steps and minimal hardware so you can focus on the fun stuff - development
DevFestMN 2017 - Learning Docker and Kubernetes with OpenshiftKeith Resar
Hands-on lab discovering containers (through docker), the need for container orchestration (using Kubernetes), and the place for a container PaaS (via OpenShift)
OpenShift is Red Hat's container application platform that provides a full-stack platform for deploying and managing containerized applications. It is based on Docker and Kubernetes and provides additional capabilities for self-service, automation, multi-language support, and enterprise features like authentication, centralized logging, and integration with Red Hat's JBoss middleware. OpenShift handles building, deploying, and scaling applications in a clustered environment with capabilities for continuous integration/delivery, persistent storage, routing, and monitoring.
Red Hat OpenShift V3 Overview and Deep DiveGreg Hoelzer
OpenShift is a platform as a service product from Red Hat that allows developers to easily deploy and manage applications using containers. It provides developers with a common platform to build, deploy and update applications quickly using containers. For IT operations, OpenShift improves efficiency and infrastructure utilization through automated provisioning and management of application services. Some key customers highlighted include a large enterprise software company, a major online travel agency, and a leading financial analytics software provider.
OpenShift v3 uses an overlay VXLAN network to connect pods within a project. Traffic between pods on a node uses Linux bridges, while inter-node communication uses the VXLAN overlay network. Services are exposed using a service IP and iptables rules to redirect traffic to backend pods. For external access, services are associated with router pods using a DNS name, and traffic is load balanced to backend pods by HAProxy in the router pod.
From Zero to Cloud: Revolutionize your Application Life Cycle with OpenShift ...OpenShift Origin
From Zero to Cloud: Revolutionize your Application Life Cycle with OpenShift PaaS
Talk given by Diane Mueller, OpenShift Origin Community Manager at FISL 15 on May 9th, 2014
Red Hat OpenShift on Bare Metal and Containerized StorageGreg Hoelzer
OpenShift Hyper-Converged Infrastructure allows building a container application platform from bare metal using containerized Gluster storage without virtualization. The document discusses building a "Kontainer Garden" test environment using OpenShift on RHEL Atomic hosts with containerized GlusterFS storage. It describes configuring and testing the environment, including deploying PHP/MySQL and .NET applications using persistent storage. The observations are that RHEL Atomic is mature enough to evaluate for containers, and Docker/Kubernetes with containerized storage provide an alternative to virtualization for density and scale.
Deploying & Scaling OpenShift on OpenStack using Heat - OpenStack Seattle Mee...OpenShift Origin
This document provides an overview and agenda for deploying OpenShift on OpenStack. It begins with a brief introduction to Platform as a Service (PaaS) and OpenShift. It then discusses the various flavors of OpenShift including the open source Origin project, public cloud service, and on-premise private cloud software. The remainder of the document focuses on deploying OpenShift on OpenStack using Heat templates, including an overview of Heat and its orchestration capabilities, the OpenShift architecture, and a demonstration of deploying OpenShift Enterprise templates with Heat.
DevOps, PaaS and the Modern Enterprise CloudExpo Europe presentation by Diane...OpenShift Origin
The rise in application complexity is answered by the emergence of DevOps and simplified by adding a PaaS bringing agility, speed, and compliance to the modern Enterprise.
OpenShift is a Platform-as-a-Service that provides development environments on demand using containers. It automates application lifecycles including build, deploy, and retirement. OpenShift uses containers to package applications and dependencies in a portable way. Red Hat addresses concerns around adopting containers at scale through OpenShift, which provides security, scalability, integration, management and certification capabilities. OpenShift runs on a user's choice of infrastructure and orchestrates applications across nodes using Kubernetes.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
OpenShift is a DevOps platform that provides a container application platform for deploying and managing containerized applications and microservices. It uses Kubernetes for orchestration and Docker containers. OpenShift provides features for the complete application lifecycle including continuous integration/delivery (CI/CD), automated image builds, deployments, networking, authentication, and integration with external services and registries. Developers can create and deploy applications from source code, templates, or Docker images to OpenShift without needing deep knowledge of Docker or Kubernetes.
Cloud foundry architecture and deep diveAnimesh Singh
This document provides an overview of the key components of Cloud Foundry, including:
- The Cloud Controller which manages application deployments, services, user roles, and more.
- Buildpacks which stage and compile applications to create droplets run by DEAs on VMs.
- DEAs which manage application container lifecycles using Warden containers for isolation.
- Routers which route traffic to applications and maintain dynamic routing tables.
- Services which provide interfaces to both native and 3rd party services running on Service Nodes.
- UAA which handles user authentication, authorization, and manages OAuth access credentials.
It also describes how organizations and spaces segment the platform and how domains
This presentation covers both the Cloud Foundry Elastic Runtime (known by many as just "Cloud Foundry") as well as the Operations Manager (known by many as BOSH). For each, the main components are covered with interactions between them.
Revolutionizing app delivery with Linux and containersRed Hat Events
Recent advancements in Linux including Linux containers are changing the way that companies will develop, consume, and manage applications. As with traditional applications, containerized applications interact with and depend on the operating system. In this talk, Matt Hicks will outline what needs to happen to support this change, and how communities and open source projects such as Docker, Kubernetes, and others are coming together to deliver this next wave of enterprise application architecture.
- OpenShift is a Platform-as-a-Service built on Red Hat Enterprise Linux that can run on public clouds, private clouds, virtualization, and bare metal.
- It uses containers to deploy and scale applications, with components including a broker to manage nodes and gears that run applications in isolated containers using Linux cgroups and SELinux for security and resource control.
- Developers can use integrated tooling or APIs to develop, build, test and deploy applications to OpenShift, which supports a variety of programming languages and frameworks using cartridges that are automatically installed.
Welcome to the @OpenShift Origin Community by Diane Mueller @pythondj @redhatOpenShift Origin
Welcome to OpenShift Origin Community
Presenter: Diane Mueller
Diane Mueller (Cloud Ecosystem Evangelist) will set the stage for the day's event with a history of the OpenShift Origin Community efforts. She'll discuss the need for an Open Source Platform-as-a-Service, the contributions made to date, and how to contribute to OpenShift Origin.
Whether you're a seasoned Java developer looking to start hacking on EE6 or you just wrote your first line of Ruby yesterday, the cloud is perfect for developing apps in any modern language or framework. Join us for an action-packed hour of power where we'll show you how to deploy an application written in a language of your choice - Java, Ruby, PHP, Perl or Python, with a framework of your choice - EE6, CDI, Seam, Zend, Rails, Sinatra, PerlDancer or Django to the OpenShift PaaS in just minutes. Use the following promotional code when signing up to try out OpenShift: CODEMOTION
This document discusses the latest trends for cloud native application development on OpenShift 4. It covers OpenShift's focus on simplifying creation of cloud native services and serverless functions using components and tools without requiring deep Kubernetes knowledge. Developer tools like CodeReady Workspaces and the odo CLI aim to improve developer productivity. Operators are highlighted as a way to automate application management. Knative and service mesh technologies are discussed as ways to enable event-driven and microservices-based applications. OpenShift 4's new installation process and ability to perform over-the-air updates are also summarized.
As developers, we are blessed with a huge variety of tools to help us in our daily jobs. One of the most popular ones that has shown up over the last few years is Docker. How does one go about getting started with Docker? Why should you invest your time in this new technology? What can you do with Docker? Let's find out!
OpenShift Primer - get your business into the Cloud today!Eric D. Schabell
Whether your business is running on applications based on Java EE6, PHP or Ruby, the cloud is turning out to be the perfect environment for developing your business.
There are plenty of clouds and platform-as-a-services to choose from, but where to start? Join us for an action-packed hour of power where we'll show you how to deploy your existing application written in the language of your choice - Java, Ruby, PHP, Perl or Python, with the framework of your choice - EE6, CDI, Seam, Spring, Zend, Cake, Rails, Sinatra, PerlDancer or Django to the OpenShift PaaS in just minutes.
All this and without having to rewrite your app to get it to work the way the cloud provider thinks your app should work.
You can have your business applications running in the cloud on OpenShift Express in seconds, while also making use of the web browser do the heavy-lifting of provisioning clusters, deploying, monitoring and auto-scaling apps in OpenShift Flex.
If you want to learn how the OpenShift PaaS and investing an hour of your time can change everything you thought you knew about putting your business applications in the cloud, this session is for you!
Agile NCR 2013- Shekhar Gulati - Open shift platform-for-rapid-and-agile-deve...AgileNCR2013
OpenShift is a platform as a service (PaaS) by Red Hat that allows developers to rapidly develop and deploy applications in the cloud. The presentation demonstrates how to use OpenShift through its web console and command line tools to create Java and MySQL applications integrated with Jenkins for continuous integration. It also shows how to install the code quality tool Sonar and agile issue tracking tool YouTrack on OpenShift. The key benefits of OpenShift are that it allows developers to focus on coding while handling deployment, scaling, and infrastructure management.
Linux Containers and Docker SHARE.ORG Seattle 2015Filipe Miranda
This slide deck shows us an introduction to Linux Containers (LXC) and Docker for Linux on IBM z Systems.
One example of a commercial use of Linux Containers (and Docker) is Red Hat Openshift, which is is also covered at the end.
OpenShift is a Platform as a Service (PaaS) built on Red Hat technologies that provides developers with an automated and scalable platform for building and deploying applications. With OpenShift, developers can focus on coding their applications without having to manage the underlying infrastructure. OpenShift handles tasks like provisioning resources, deploying code, scaling applications, and maintaining the platform. Developers have freedom of choice with OpenShift, including programming languages, frameworks, cloud deployment options, and development interfaces. OpenShift aims to bridge the gap between agile application development and robust enterprise capabilities.
PHPIDOL#80: Kubernetes 101 for PHP Developer. Yusuf Hadiwinata - VP Operation...Yusuf Hadiwinata Sutandar
Sesi Terakhir sebelum libur PHPID-OL memasuki Bulan Puasa Ramadhan. Kita akan ketemu lagi 19 April 2021.
Topik penutup yang akan diisi oleh Om Yusuf Hadiwinata, Praktisi Teknologi terkemuka dan ternama di lingkungan Industri IT Indonesia...
Ciyaooo.... Maju Terus PHP Indonesia
Link Video: https://fb.me/e/hzWbd0FeW
Docker allows building and running applications inside lightweight containers. Some key benefits of Docker include:
- Portability - Dockerized applications are completely portable and can run on any infrastructure from development machines to production servers.
- Consistency - Docker ensures that application dependencies and environments are always the same, regardless of where the application is run.
- Efficiency - Docker containers are lightweight since they don't need virtualization layers like VMs. This allows for higher density and more efficient use of resources.
CoreOS automated MySQL Cluster Failover using Galera ClusterYazz Atlas
CoreOS Fleet and Etcd provide a simple and eloquent framework for application clusters to both auto-configure and recover from node failure. Galera Cluster is a multi-master, open solution for clustering MySQL. Mix the two, sprinkle in a bit of “glue” and you have a Docker based MySQL cluster that will react automatically to container failure. This presentation will cover the nuts and bolts of automating a Galera Cluster, built from Docker Images and deployed in a distributed fashion using etcd, confd, and fleet for both initial and failure recovery configuration.
Openshift: Build, deploy & manage open, standard containersJonh Wendell
OpenShift is a container platform for deploying and managing containerized applications. It uses Kubernetes for orchestration and Docker containers. OpenShift provides developers a way to build, deploy and manage applications throughout the lifecycle using containers and provides operations with stability, security and resource management tools. It supports choice of programming languages, continuous deployment and integration, and scaling of applications.
This document provides an overview of open source cloud computing presented by Mark R. Hinkle. It discusses key cloud concepts like virtualization formats, hypervisors, compute clouds, storage, platforms as a service, APIs, private cloud architecture, provisioning tools, configuration management, monitoring, and automation/orchestration tools. The presentation aims to educate about building clouds with open source software and managing them using open source management tools. Contact information is provided for Mark R. Hinkle for any additional questions.
This document provides an overview of open source cloud computing presented by Mark R. Hinkle. It discusses key cloud concepts like virtualization formats, hypervisors, compute clouds, storage, platforms as a service, APIs, private cloud architecture, provisioning tools, configuration management, monitoring, and automation/orchestration tools. The presentation aims to educate about building clouds with open source software and managing them using open source management tools. Contact information is provided for Mark R. Hinkle for any additional questions.
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
Similar to Build a PaaS with OpenShift Origin (20)
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This document provides an overview of applications and containers at scale using OpenShift and Kubernetes. It begins with defining containers and their advantages over virtual machines. Kubernetes is then introduced as a system for managing containerized applications across multiple hosts. Key Kubernetes concepts like pods, services, and replication controllers are described. OpenShift builds upon Kubernetes by adding concepts like applications, configurations, templates, and build configurations to provide an application development and deployment platform. A demo is then presented, concluding that OpenShift packages container and cloud-native technologies to efficiently manage thousands of applications.
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This document provides instructions for adding spatial data to MongoDB. It details how to import a JSON file containing coordinate data into a MongoDB database hosted on OpenShift, build a 2D index on the coordinate field, perform spatial queries to find documents near a given location, insert new documents with location data to new and existing collections, and update the notes field of an existing document.
The document introduces MongoDB's spatial functionality for geospatial queries and provides an overview of loading spatial data and creating a 2d index in MongoDB, demonstrating basic nearby and containment queries and showing example code for building applications using spatial data with MongoDB deployed on OpenShift's free Platform as a Service cloud offering.
This document provides commands for adding spatial data to MongoDB. It shows how to import a JSON file containing coordinate data into a MongoDB collection called "opencloud" using mongoimport. It then creates indexes on the "pos" field to support spatial queries, and demonstrates various spatial queries including near, within a bounding box, and geoNear queries. It also creates a new collection "clouduserloc" and inserts and updates documents with location coordinates to the new collection.
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.
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
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Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
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.
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
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This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
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7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
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Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
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UiPath Community Day Kraków: Devs4Devs ConferenceUiPathCommunity
We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner!
We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too!
Check out our proposed agenda below 👇👇
08:30 ☕ Welcome coffee (30')
09:00 Opening note/ Intro to UiPath Community (10')
Cristina Vidu, Global Manager, Marketing Community @UiPath
Dawid Kot, Digital Transformation Lead @Proservartner
09:10 Cloud migration - Proservartner & DOVISTA case study (30')
Marcin Drozdowski, Automation CoE Manager @DOVISTA
Pawel Kamiński, RPA developer @DOVISTA
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
09:40 From bottlenecks to breakthroughs: Citizen Development in action (25')
Pawel Poplawski, Director, Improvement and Automation @McCormick & Company
Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company
10:05 Next-level bots: API integration in UiPath Studio (30')
Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner
10:35 ☕ Coffee Break (15')
10:50 Document Understanding with my RPA Companion (45')
Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath
11:35 Power up your Robots: GenAI and GPT in REFramework (45')
Krzysztof Karaszewski, Global RPA Product Manager
12:20 🍕 Lunch Break (1hr)
13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30')
Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance
13:50 Communications Mining - focus on AI capabilities (30')
Thomasz Wierzbicki, Business Analyst @Office Samurai
14:20 Polish MVP panel: Insights on MVP award achievements and career profiling
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Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
1. Build a PaaS with OpenShift
Origin
Steven Citron-Pousty
PaaS Dust Spreader, Red Hat
@TheSteve0
Bill DeCoste
Principal Software Engineer
wdecoste@redhat.com
1
2. Agenda
•
See a PaaS in action
•
See how we build it under the hoods
•
Look at how to get involved with the community
SIGN UP CODE:
SCaLE11
2
3. Assumptions
1) You know Linux
2) You are either a developer or a sysadmin
3) You will ask questions
3
4. What is OpenShift?
Red Hat’s free platform as a service for applications in the cloud.
4
9. •
Operations care about stability and performance
•
Developers just want environments without waiting
OpenShift Enterprise creates a peaceful
environment for both parties
9
10. Demo
1. Bring up a Python App
2. Push a code change
3. Add a MySQL database
10
12. FLAVORS OF
OPENSHIFT
Open
Source
Project origin
On-
Public premise
Cloud or Private
Service Cloud
Software
12
13. KEY TERMS
•
Broker – Management host, orchestration of Nodes
•
Node – Compute host containing Gears
•
Gear – Allocation of fixed memory, compute, and
storage resources for running applications
•
Cartridge – A technology/framework (PHP, Perl,
Java/JEE, Ruby, Python, MySQL, etc.) to build
applications
•
Client Tools – CLI, Eclipse, Web Console for creating
and managing applications
13
14. RUNS ON IaaS
OpenShift Origin is a PaaS that runs on top of..... Infrastructure
Amazon EC2 Rackspace Bare Metal
OpenStack RHEV VMWare
14
15. SERVER TYPES
Each OpenShift Origin server will be one of the following
types:
• Broker Host
• Node Host
15
16. BROKER
An OpenShift Broker can manage multiple node hosts.
Nodes are where User Applications live.
Fedora/RHEL Fedora/RHEL Fedora/RHEL
Brokers Node Node
16
17. BROKER
The Broker is responsible for state, DNS, and authentication.
17
23. COMMUNICATION
Communication from external clients occurs through the REST API
The Broker then communicates through the messaging service to nodes
23
26. Easy to install on Fedora 18
●
Using Vagrant and Puppet
●
http://www.krishnaraman.net/installing-openshift-origin-using-vagrant-and-puppet/
Also install on Fedora 17
●
Using kickstart
●
http://www.krishnaraman.net/building-a-multi-node-openshift-origin-paas-from-
source/
26
29. GET INVOLVED!
OPENSOURCE
●
GitHub: https://github.com/openshift
●
Origin: origin-server
●
Internal Extensions: li
●
Community Cartridges: origin-community-cartridges
●
https://github.com/jwhonce/origin-server/tree/dev/cartridge_refactor
●
Quickstarts, Examples
●
Watch, Star, Contribute!!!
29
30. Conclusion
1. PaaS is a Developers AND Sysadmins dream
2. We are doing really cool things with Linux to make it
happen
3. Easy to get started on Fedora
4. Fun and interesting place to spend your time – COME
JOIN US!!!
SIGN UP CODE:
SCaLE11
http://openshift.redhat.com
30
Editor's Notes
So, what you need is the ease of use and access of a SaaS application, but you need it with your purpose-built, mission-critical, applications. PaaS gives you just that. It allows you to quickly and easily build the application that YOU need. Whether this is for your group, your enterprise, or your next BIG IDEA, you can build it and launch your specific code on a PaaS and not have to deal with the underlying infrastructure, middleware, and management headaches. Because of the built-in auto-scaling and elasticity provided by the PaaS infrastructure, PaaS's are ideal for modern data-hungry Big Data, Mobile, and Social applications. With a PaaS, you can focus on what you should be focused on... your application code. And let the Cloud provide what it is suppose to: Ease, Scale and Power
And, once the application is launched within the OpenShift PaaS, OpenShift provides the elasticity expected in a Cloud Application Platform by automatically scaling the application as needed to meet demand. When created, applications can be flagged as “Scalable” (some apps may not want to be scaled). When OpenShift sees this flag, it creates an additional Gear and places an HA-Proxy software load-balancer in front of the application. The HA-Proxy then monitors the incoming traffic to the application. When the number of connections to the application crosses a certain pre-defined threshold, OpenShift will then horizontally scale the application by replicating the application code tier of the application across multiple Gears. For JBoss applications, OpenShift will scale the application using JBoss Clustering which allows stateful or stateless applications to be scaled gracefully. For Ruby, PHP, Python, and other script-oriented languages, the application will need to be designed for stateless scaling where the application container is replicated across multiple gears. The Database tier is not scaled in OpenShift today. Automatic application scaling is a feature that is unique to OpenShift among the popular PaaS offerings that are out there. Automatic scaling of production applications is another example of how OpenShift applies automation technologies and a cloud architecture to make life better for both IT Operations and Development. <next slide>
OpenShift Origin - Port Proxy Linux handles the loopback interface's 127.0.0.0/8 address block specially: A request from an address in this block can only go to an address in the same block (put another way, a connection on the loopback interface is confined to the loopback interface). OpenShift uses this fact to contain hosted applications: a gear is prohibited by iptables from listening on an external network interface, and so a given gear can only respond to connections that come from processes on the same node. For the common case of Web connections, the system Apache instance acts as a reverse proxy, forwarding requests that come in on the external interface to the appropriate 127.x.y.z address; see the documentation on the node component. However, sometimes gears need to accept other types of connections. The two most common such scenarios are the following: A gear needs to connect to another gear (which may be on the same node or another node). A gear needs to listen for connections on a public interface besides HTTP connections to port 80. For example, a game server needs to expose a port to receive incoming connections from clients, and a database needs to expost a port so that other gears can connect to it. To meet these needs, OpenShift uses haproxy to proxy TCP connections between an external-facing network interface and the loopback interface. Each gear is assigned five exposable ports, and the gear may establish a forwarding rule for each of these ports to forward connections on the the port on the external interface to an arbitrary port on the gear's assigned loopback address. To provide haproxy with adequate ports, we shift the ephemeral port range down to 15000-35530, so that Linux will not use ports outside of this range for connections for which no port is given explicitly. This means that ports 35531-65535 will be available for haproxy's exclusive use. Note: Given that each gear is assigned 5 ports, this imposes a limit of 6000 gears per node. The interaction with haproxy is implemented on the cartridge side in cartridges/openshift-origin-cartridge-abstract/abstract/info/lib/network and: OpenShift Origin - Node Component Hosted applications are run in containers called "gears." These gears are run on hosts (which can be physical hosts or virtual machines) called "nodes." Each node runs a system Apache instance with mod_proxy that listens on port 80 on a public-facing network interface. Each gear is assigned an address in the 127.0.0.0/8 block, and a hosted Web application listens on port 8080 on its assigned private 127.x.y.z address. When a Web client requests a URL for a hosted Web application, the request goes to the node's system Apache instance. The system Apache instance examines the virtual-host header (the "Host:" HTTP header) and dispatches the request to the 127.x.y.z:8080 private address of the appropriate gear. For an explanation of how connections other than regular HTTP connections are handled, see the documentation on the port-proxy.