This presentation looks deep into the concept of containerization. What is containerization, how is it different from VMs, how containerization is achieved using Linux containers (LXC), control groups (cgroups) and copy on write file systems and current trends in containerization/docker are described.
Infinit: Modern Storage Platform for Container EnvironmentsDocker, Inc.
Providing state to applications in Docker requires a backend storage component that is both scalable and resilient in order to cope with a variety of use cases and failure scenarios. The Infinit Storage Platform has been designed to provide Docker applications with a set of interfaces (block, file and object) allowing for different tradeoffs. This talk will go through the design principles behind Infinit and demonstrate how the platform can be used to deploy a storage infrastructure through Docker containers in a few command lines.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
Multi-Container Apps spanning Docker, Mesos and OpenStackDocker, Inc.
Roll up! Roll up! Before your very eyes Andrew will use Apache Brooklyn powered Clocker to deploy and manage multi-container applications transparently spanning - Docker, Mesos and OpenStack.
This presentation looks deep into the concept of containerization. What is containerization, how is it different from VMs, how containerization is achieved using Linux containers (LXC), control groups (cgroups) and copy on write file systems and current trends in containerization/docker are described.
Infinit: Modern Storage Platform for Container EnvironmentsDocker, Inc.
Providing state to applications in Docker requires a backend storage component that is both scalable and resilient in order to cope with a variety of use cases and failure scenarios. The Infinit Storage Platform has been designed to provide Docker applications with a set of interfaces (block, file and object) allowing for different tradeoffs. This talk will go through the design principles behind Infinit and demonstrate how the platform can be used to deploy a storage infrastructure through Docker containers in a few command lines.
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
Multi-Container Apps spanning Docker, Mesos and OpenStackDocker, Inc.
Roll up! Roll up! Before your very eyes Andrew will use Apache Brooklyn powered Clocker to deploy and manage multi-container applications transparently spanning - Docker, Mesos and OpenStack.
This was the deck I presented for a meetup organized by Software Circus.
Docker Datacenter (DDC) delivers Containers as a Service (CaaS) for enterprises to build, ship and run any application anywhere. With an integrated technology platform that spans across the application lifecycle with tooling and support for both developers and IT operations, Docker Datacenter delivers a secure software supply chain at enterprise scale. Join this talk to understand how DDC delivers CaaS, and hear examples of customer who have adopted DDC and their journey with it. A live demo will conclude the presentation.
Full video here:
https://www.youtube.com/watch?v=qboZCZfb0mc
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
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
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Twitter: https://twitter.com/edurekain
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Docker 101 - High level introduction to dockerDr Ganesh Iyer
This deck will help you understand the basics of Docker. It introduces dockers and containers, gives a comparison with virtualization and gives some getting started guides.
Discussing the difference between docker dontainers and virtual machinesSteven Grzbielok
This presentation is designed to give an overview about differences of both virtualization methods to provide the reader with the fundamental knowledge to decide in each use case which technology is more suitable.
Developing with Docker for the Arm ArchitectureDocker, Inc.
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Containers vs. VMs: It's All About the Apps!Steve Wilson
There has been much hype about whether Containers will replace Virtual Machines for use in Cloud architectures. We’ll look at the strengths of each technology and how they apply in real-world usage. By taking a top-down (Application-first) approach to requirements analysis, versus a bottoms-up (Infrastructure-first) approach, we can see how unique architectures will emerge that can balance the needs of Developers, DevOps and corporate IT.
A brief introduction to Docker Container technology done at Gurgaon Docker Container Meetup on 30-Jan-2016.
Includes command to launch a simple 2 container linked application that hosts a Etherlite web application.
Mit Urs Stephan Alder (CEO Kybernetika), Michael Abmayer (Senior Consultant Opvizor) und Dennis Zimmer (CEO Opvizor) präsentierten gleich 3 hochkarätige Referenten an der vergangenen VMware@Night bei Digicomp. Sie zeigten zusammen auf, welche Auswirkungen Container in der Virtualisierung auf den täglichen Betrieb sowie die Performance- und Kapazitätsplanung haben.
Vor allem Docker ist derzeit in aller Munde und die bekannteste und meist genutzte Container-Technologie. Container werden vielfach in virtuellen Maschinen betrieben und stellen eine neue Herausforderung für VMware- Administratoren, aber auch IT-Manager dar. Gewährleistung und Überwachung der Performance sowie eine möglichst genaue Kapazitätsplanung sind Herausforderungen, denen man sich zügig stellen muss.
Nach einer kurzen Einführung in die Thematik der Container, in der auch die Unterschiede zur Virtualisierung aufgezeigt wurde, widmeten sich die Referenten dem Umgang mit Conteinern am Beispiel von Docker mit VMware vSphere. Zum Abschluss wurde die Performanceüberwachung und Kapazitätsplanung behandelt.
This presentation was made as closing session for Container Conference 2018 on 03rd August in Bangalore by Anoop Kumar from Docker.
"In this session we will get familiarized with the technical aspects of the Docker EE 2.0 Platform. It will involve a walkthrough of the swarm as well as the relatively newly introduced Kubernetes integrations, how it enables organizational agility, choice and security and the future roadmap of the product suite. We'll finally do a quick demo of the platform and close with a Q&A section."
containerd summit - Deep Dive into containerdDocker, Inc.
containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc..
containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd includes a daemon exposing gRPC API over a local UNIX socket. The API is a low-level one designed for higher layers to wrap and extend. It also includes a barebone CLI (ctr) designed specifically for development and debugging purpose. It uses runC to run containers according to the OCI specification. The code can be found on GitHub, and here are the contribution guidelines.
containerd is based on the Docker Engine’s core container runtime to benefit from its maturity and existing contributors.
Docker Container-Introduction and FeaturesAshnikbiz
The Docker Enterprise Difference
Leading companies rely on our container platform to build, manage and secure all their applications from traditional applications to cutting-edge microservices—and deploy them anywhere.
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
Many of the advantages of using Docker containers include fast development, testing, and server deployments of your application. This PPT explains some of the Docker use cases that will help you to improve software development, application portability & deployment, and agility for your business
This was the deck I presented for a meetup organized by Software Circus.
Docker Datacenter (DDC) delivers Containers as a Service (CaaS) for enterprises to build, ship and run any application anywhere. With an integrated technology platform that spans across the application lifecycle with tooling and support for both developers and IT operations, Docker Datacenter delivers a secure software supply chain at enterprise scale. Join this talk to understand how DDC delivers CaaS, and hear examples of customer who have adopted DDC and their journey with it. A live demo will conclude the presentation.
Full video here:
https://www.youtube.com/watch?v=qboZCZfb0mc
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
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Docker 101 - High level introduction to dockerDr Ganesh Iyer
This deck will help you understand the basics of Docker. It introduces dockers and containers, gives a comparison with virtualization and gives some getting started guides.
Discussing the difference between docker dontainers and virtual machinesSteven Grzbielok
This presentation is designed to give an overview about differences of both virtualization methods to provide the reader with the fundamental knowledge to decide in each use case which technology is more suitable.
Developing with Docker for the Arm ArchitectureDocker, Inc.
This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.
Docker is the world’s leading software container platform. Developers use Docker to eliminate “works on my machine” problems when collaborating on code with co-workers. Operators use Docker to run and manage apps side-by-side in isolated containers to get better compute density. Enterprises use Docker to build agile software delivery pipelines to ship new features faster, more securely and with confidence for both Linux and Windows Server apps.
Containers vs. VMs: It's All About the Apps!Steve Wilson
There has been much hype about whether Containers will replace Virtual Machines for use in Cloud architectures. We’ll look at the strengths of each technology and how they apply in real-world usage. By taking a top-down (Application-first) approach to requirements analysis, versus a bottoms-up (Infrastructure-first) approach, we can see how unique architectures will emerge that can balance the needs of Developers, DevOps and corporate IT.
A brief introduction to Docker Container technology done at Gurgaon Docker Container Meetup on 30-Jan-2016.
Includes command to launch a simple 2 container linked application that hosts a Etherlite web application.
Mit Urs Stephan Alder (CEO Kybernetika), Michael Abmayer (Senior Consultant Opvizor) und Dennis Zimmer (CEO Opvizor) präsentierten gleich 3 hochkarätige Referenten an der vergangenen VMware@Night bei Digicomp. Sie zeigten zusammen auf, welche Auswirkungen Container in der Virtualisierung auf den täglichen Betrieb sowie die Performance- und Kapazitätsplanung haben.
Vor allem Docker ist derzeit in aller Munde und die bekannteste und meist genutzte Container-Technologie. Container werden vielfach in virtuellen Maschinen betrieben und stellen eine neue Herausforderung für VMware- Administratoren, aber auch IT-Manager dar. Gewährleistung und Überwachung der Performance sowie eine möglichst genaue Kapazitätsplanung sind Herausforderungen, denen man sich zügig stellen muss.
Nach einer kurzen Einführung in die Thematik der Container, in der auch die Unterschiede zur Virtualisierung aufgezeigt wurde, widmeten sich die Referenten dem Umgang mit Conteinern am Beispiel von Docker mit VMware vSphere. Zum Abschluss wurde die Performanceüberwachung und Kapazitätsplanung behandelt.
This presentation was made as closing session for Container Conference 2018 on 03rd August in Bangalore by Anoop Kumar from Docker.
"In this session we will get familiarized with the technical aspects of the Docker EE 2.0 Platform. It will involve a walkthrough of the swarm as well as the relatively newly introduced Kubernetes integrations, how it enables organizational agility, choice and security and the future roadmap of the product suite. We'll finally do a quick demo of the platform and close with a Q&A section."
containerd summit - Deep Dive into containerdDocker, Inc.
containerd is an industry-standard core container runtime with an emphasis on simplicity, robustness and portability. It is available as a daemon for Linux and Windows, which can manage the complete container lifecycle of its host system: image transfer and storage, container execution and supervision, low-level storage and network attachments, etc..
containerd is designed to be embedded into a larger system, rather than being used directly by developers or end-users.
containerd includes a daemon exposing gRPC API over a local UNIX socket. The API is a low-level one designed for higher layers to wrap and extend. It also includes a barebone CLI (ctr) designed specifically for development and debugging purpose. It uses runC to run containers according to the OCI specification. The code can be found on GitHub, and here are the contribution guidelines.
containerd is based on the Docker Engine’s core container runtime to benefit from its maturity and existing contributors.
Docker Container-Introduction and FeaturesAshnikbiz
The Docker Enterprise Difference
Leading companies rely on our container platform to build, manage and secure all their applications from traditional applications to cutting-edge microservices—and deploy them anywhere.
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
Many of the advantages of using Docker containers include fast development, testing, and server deployments of your application. This PPT explains some of the Docker use cases that will help you to improve software development, application portability & deployment, and agility for your business
What is Docker & Why is it Getting Popular?Mars Devs
Docker and containerization, in general, are now causing quite a stir But what is Docker, and how does it relate to containerization. Today, in this blog we will walk you through the nitty-gritty of Docker and why it is getting adopted rapidly.
Click here to know more: https://www.marsdevs.com/blogs/what-is-docker-why-is-it-getting-popular
Docker-PPT.pdf for presentation and otheradarsh20cs004
Consistency: With Docker, developers can create Dockerfiles to define the environment and dependencies required for their applications. This ensures consistent development, testing, and production environments, reducing deployment errors and streamlining workflows.
Scalability: Docker's containerization model facilitates horizontal scaling by replicating containers across multiple nodes or instances. This scalability enables applications to handle varying workload demands and ensures optimal performance during peak usage times.
Speed: Docker containers start up quickly and have faster deployment times compared to traditional deployment methods. This speed is especially beneficial for continuous integration/continuous deployment (CI/CD) pipelines, where rapid iteration and deployment are essential.
Complexity: Docker introduces additional complexity, especially for users who are new to containerization concepts. Understanding Dockerfile syntax, image creation, container orchestration, networking, and storage management can be challenging for beginners.
Security Concerns: While Docker provides isolation at the process level, it is still possible for vulnerabilities or misconfigurations to compromise container security. Shared kernel vulnerabilities, improper container configurations, and insecure container images can pose security risks.
Networking Complexity: Docker's networking capabilities, while powerful, can be complex to configure and manage, especially in distributed or multi-container environments. Issues such as container-to-container communication, network segmentation, and service discovery may require additional expertise
Fake general image detection refers to the process of identifying whether an image has been manipulated or altered in some way to create a deceptive or false representation of reality. This type of detection is commonly used in fields such as forensics, journalism, and social media moderation to identify images that have been doctored or manipulated for malicious purposes, such as spreading fake news, propaganda, or misinformation. Fake general image detection techniques can include analyzing the image's metadata, examining inconsistencies in the lighting and shadows, identifying anomalies in the image's pixel patterns, and comparing the image to known authentic images or reference images. Some algorithms use machine learning techniques to analyze large datasets of both authentic and fake images to improve the accuracy of their detection.
However, it's important to note that no single method or algorithm can detect all types of fake images with 100% accuracy, and as technology advances, so do the techniques for creating convincing fake images. Therefore, it's essential to use a combination of techniques and human expertise to identify fake images and prevent them from spreading.
There are several techniques that can be used to detect fake images on social media. Here are a few examples: Done it
The Axigen Docker image is provided for users to be able to run an Axigen based mail service within a Docker container.
The following services are enabled and mapped as 'exposed' TCP ports in Docker:
§ SMTP (25 - non secure, 465 - TLS)
§ IMAP (143 - non secure, 993 - TLS)
§ POP3 (110 - non secure, 995 - TLS)
§ WEBMAIL (80 - non secure, 443 - TLS)
§ WEBADMIN (9000 - non secure, 9443 - TLS)
CLI (7000 - non secure
OpenNebula Conf 2014 | Cloud Automation for OpenNebula by Kishorekumar Neelam...NETWAYS
Kishore works with the engineering team in building the open source product with a future focussed cloud technical strategy for “Megam – Cloud Automation Platform “http://gomegam.com”. In his prior incarnation Kishore has worked as an Architect in complex system integration projects for Airport systems with high availability. Kishore has avid experience in architecting large scale build and packaging tools for mainframe platform integrated via thin clients and eclipse IDE.
Early adopters report "easier replication, faster deployment and lower configuration and operating costs" of applications that involve Docker containers - an open platform that allows developers and sysadmins to build, ship and execute distributed applications.
Not surprisingly then, a groundswell of organizations are interested in evaluating Docker containers in proof-of-concept initiatives and/or pilot projects. The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and (ultimately) integrated into application workflows.
In answering the 5 Ws and one H, the aim of this webinar is to provide a technical overview and demonstration of Docker and to frame its use within the context of High Performance Computing and Big Data Analytics.
Learn all about Docker.
Agenda:
• What are Docker containers - relative to physical machines, VMs and other containers?
• Who is responsible for Docker containers?
• Why and when were Docker containers created?
• What is the container ecosystem?
• Where is use of containers appropriate and not appropriate?
▸ HPC applications?
▸ Big Data Analytics? Specifically, Spark-based applications?
▸ On premise and in the cloud?
▸ Is running Docker different in HPC versus microservice-based applications?
• How can I make use of Docker containers?
▸ How can I containerize my application?
▸ How can I create, or make use of, a Docker image?
▸ How can I run Docker containers as I do other types of workloads?
• Getting Started and Next Steps
Speaker:
Ian Lumb, System Architect, Univa Corporation.
As an HPC specialist, Ian Lumb has spent about two decades at the global intersection of IT and science. Ian received his B.Sc. from Montreal's McGill University, and then an M.Sc. from York University in Toronto. Although his undergraduate and graduate studies emphasized geophysics, Ian's current interests include workload orchestration and container optimization for HPC to Big Data Analytics in clusters and clouds.
Video Download
Video is available in .mp4 format from http://www.univa.com/resources/webinar-docker101.php.
The presentation describes the functionality as well as the advantages of a project undertaken by us in the Cloud Computing course whereby we build a PaaS using Docker.
The link to the project is :
https://github.com/kanika2107/Paas_with_Docker_CloudProject
Demo video : https://www.youtube.com/watch?v=2h-hodrzTu8&feature=youtu.be
#IIITHyderabad #CloudComputing #CSE565 #Monsoon15 #SIEL #Docker #PaaS #Apache #Containers #PHP #SQL #HTML #Web2Py
Docker Bday #5, SF Edition: Introduction to DockerDocker, Inc.
In celebration of Docker's 5th birthday in March, user groups all around the world hosted birthday events with an introduction to Docker presentation and hands-on-labs. We invited Docker users to recognize where they were on their Docker journey and the goal was to help them take the next step of their journey with the help of mentors. This presentation was done at the beginning of the events (this one is from the San Francisco event in HQ) and gives a run down of the birthday event series, Docker's momentum, a basic explanation of containers, the benefits of using the Docker platform, Docker + Kubernetes and more.
Using Docker container technology with F5 Networks products and servicesF5 Networks
The evolving needs of IT and the advent of agile development and deployment strategies has led to the emergence of “containerization,” an alternative to full machine virtualization in which an application is encapsulated in a container with its own operating environment. Containerization is an attractive solution that enables developers to iterate faster. It also offers additional benefits that address the overhead associated with virtual machines, allowing for higher utilization of resources in the software-defined data center (SDDC).
Although containerization isn’t a new concept, Docker, developed by Docker, Inc., has been widely cited as the implementation of choice due to its broad industry support, standardization, and comprehensive breadth of capability. In the company’s words, Docker is “an open platform for building, shipping, and running distributed applications. It gives programmers, development teams and operations engineers the common toolbox they need to take advantage of the distributed and networked nature of modern applications.” As such, Docker simplifies application lifecycle management from development to deployment and enables application portability. This simplification is critical for enterprises, considering that there are multiple hosting options for an application, either in the public cloud or private cloud infrastructure.
This paper outlines F5’s direction on using containers within F5 technology and for supporting Docker for application delivery and security. Before we discuss this strategy, it is important to recognize data center pain points and why these technologies are critical for the next generation enterprise application delivery.
Tampere Docker meetup - Happy 5th Birthday DockerSakari Hoisko
Part of official docker meetup events by Docker Inc.
https://events.docker.com/events/docker-bday-5/
Meetup event:
https://www.meetup.com/Docker-Tampere/events/248566945/
When seeking to implement microservices architecture in an organization, these are the benefits of deploying Docker as the platform as a service (PaaS); Docker helps manage costs, complexity, service continuity and production times.
System resource use is a big problem in the field of informatics. Developers are constantly looking for new ways to solve this problem. Virtualization of data centers and moving to cloud environments are some of the solutions produced. In these methods, virtualized servers are used to run and publish applications in isolation. Servers used for dedicated software in cloud computing environments are still not used with the desired efficiency. For this purpose, container technology has been developed so that many applications can be run isolated from each other in the same server environments. With this method, CPU, memory, network and disk volume can be defined for more than one application on the same server. Today, cloud computing companies and technology companies are rapidly turning to container technology. In this study, the development of container technology, its types and common usage methods are explained. Atilla Ergüzen | Ahmet Özcan "Container Ecosystem and Docker Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-1 , December 2021, URL: https://www.ijtsrd.com/papers/ijtsrd49102.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/49102/container-ecosystem-and-docker-technology/atilla-ergüzen
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Top 7 Unique WhatsApp API Benefits | Saudi ArabiaYara Milbes
Discover the transformative power of the WhatsApp API in our latest SlideShare presentation, "Top 7 Unique WhatsApp API Benefits." In today's fast-paced digital era, effective communication is crucial for both personal and professional success. Whether you're a small business looking to enhance customer interactions or an individual seeking seamless communication with loved ones, the WhatsApp API offers robust capabilities that can significantly elevate your experience.
In this presentation, we delve into the top 7 distinctive benefits of the WhatsApp API, provided by the leading WhatsApp API service provider in Saudi Arabia. Learn how to streamline customer support, automate notifications, leverage rich media messaging, run scalable marketing campaigns, integrate secure payments, synchronize with CRM systems, and ensure enhanced security and privacy.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Docker and containerization
1.
2. Group 13
Amulya Saxena (5945)
Chintan Jadhav (5918)
Omkar Zade (5956)
Saish Mandavkar (5924)
FY B Sc Computer Science, Ruia College 2017’
3. DOCKER
Docker is an open-source project that automates the
deployment of applications inside software containers.
It is promoted by the company Docker, Inc.
Docker provides an additional layer of abstraction and
automation of operating-system-level virtualization on
Windows and Linux.
4. Origins of Docker Project
dotCloud was operating a PaaS, using a custom
container engine.
This engine was based on OpenVZ (and later, LXC)
and AUFS.
It started (circa 2008) as a single Python script.
By 2012, the engine had multiple Python components.
(and ~100 other micro-services!)
End of 2012, dotCloud refactors this container
engine.
The codename for this project is "Docker."
5. First public release
March 2013, PyCon, Santa Clara: "Docker" is shown to a
public audience for the first time.
It is released with an open source license.
Very positive reactions and feedback!
The dotCloud team progressively shifts to Docker
development.
The same year, dotCloud changes name to Docker.
In 2014, the PaaS activity is sold.
6. The Docker Project
What is Docker technology?
Developers can use Docker to pack, ship, and run
any application as a lightweight, portable, self-
sufficient LXC container that can run virtually
anywhere. Therefore, "Containers gives you
instant application portability."
7. How does Docker Inc. make
money?
Docker Hub has free and paid services.
DTR (Docker Trusted Registry).
Enterprise support for Engine and other products.
Training and professional services
8. Docker; statistics & facts
2/3 of Companies that try using docker, adopt it.
Most companies who will adopt have already done
so within 30 days of initial production usage, and
almost all the remaining adopters convert within
60 days.
Real docker adoption is up 30% in one year
9. AS YOU CAN SEE THAT THE ADOPTION RATE IS
SKYROCKETING
12. Why would you use Docker?
Docker provides this same capability without the
overhead of a virtual machine. It lets you put your
environment and configuration into code and
deploy it. The same Docker configuration can also
be used in a variety of environments. This
decouples infrastructure requirements from the
application environment.
13. Conclusion - docker
Docker containers share their operating system
so they run as isolated processes regardless of
the host operating system. As Docker proudly
admits, this means that its containers can “run on
any computer, on any infrastructure and in any
cloud”. The portability, flexibility and simplicity
that this enables, is a key reason why Docker has
been able to generate such strong momentum.
14. CONTAINERIZATION
Containerization
- also called container based virtualization &
application containerization
-- is an OS-level virtualization method for
deploying and running distributed applications
without launching an entire vm for each
application.
Instead, multiple isolated systems, called
containers, are run on a single control host and
access a single kernel.
15. What is Docker Container
used for?
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.
16. Advantages of using containers
Ease of Deployment and Configuration
The most important benefit of containers is simplifying and
speeding up the process of deployment and configuration.
When you deploy a container, it is very easy to roll it out
behind a firewall or cloud environments or you can either
build it on a laptop or launch it in a massive web farm-in
seconds.
High Scalability
Containerization allow you to scale only the desired
functions without impacting on the entire application. For
example in a web application case, containers enable
companies to scale their database component without
having to scale the web server or message queue.
17. Increased Overall Productivity
Containers allow developers to achieve next-generation
efficiency in software delivery or allow product managers
to save time and resources by settling many of the
challenges that they face with traditional virtualization.
Process Isolation
Application isolation provides developers with exactly what
they need to deploy, in addition to avoiding dependencies.
There are many benefits when you run multiple applications
on the same machine such as increasing
productivity and multiple server consolidation for reducing
costs.
18. Pipeline Management
Containers ease the process from development
through production by providing a consistent test
environment, and allowing developers to place their
app inside a container, which is easily portable.
19. Conclusion - containerization
Containerization services like Docker, coupled with
orchestration services, can greatly simplify testing
and deployment of code. They’re not only fast but
portable and easy-to-use.