Key Note: All videos listed on this page are sourced from publicly available YouTube channels. They are shared here for educational and informational purposes only. All credit goes to the original creators, and the content remains the property of the respective owners.
Edge computing covered and diced | Technically Speaking
What is edge computing, and what does it mean for data workloads, latency, and our precious, precious bandwidth? Red Hat CTO Chris Wright reboots Technically Speaking in this first episode ...where we explore edge computing. Guest Azhar Sayeed, Red Hat Senior Director, Global Telco Technical Development, explains 5G and how edge is like an onion. And Red Hat Senior Director of Technology Strategy Nick Barcet calls in from the high seas to chit-chat about what edge computing means for the future. So join us in the all-new Technically Speaking with Chris Wright to peel into the topic and cover, dice (and smother) edge computing.
What is Technically Speaking?
Technically Speaking features captivating conversations between Chris Wright and a rotating cast of experts and industry leaders around what's on the horizon for technology.
Want to participate? Leave us a comment if there's a topic or a guest you'd like to see featured.
Edge computing covered and diced | Technically Speaking
What is edge computing, and what does it mean for data workloads, [...]
What is edge computing, and what does it mean for data workloads, latency, and our precious, precious bandwidth? Red Hat CTO Chris Wright reboots Technically Speaking in this first episode ...where we explore edge computing. Guest Azhar Sayeed, Red Hat Senior Director, Global Telco Technical Development, explains 5G and how edge is like an onion. And Red Hat Senior Director of Technology Strategy Nick Barcet calls in from the high seas to chit-chat about what edge computing means for the future. So join us in the all-new Technically Speaking with Chris Wright to peel into the topic and cover, dice (and smother) edge computing.
What is Technically Speaking?
Technically Speaking features captivating conversations between Chris Wright and a rotating cast of experts and industry leaders around what's on the horizon for technology.
Want to participate? Leave us a comment if there's a topic or a guest you'd like to see featured.
How do you manage IT Ops at the edge? Open the pod bay doors, Chris. [...]
How do you manage IT Ops at the edge? Open the pod bay doors, Chris. Stefanie Chiras, Senior VP and General Manager for Red Hat Enterprise Linux, drops in to ...chat about how edge computing is changing how businesses operate IT infrastructure and services. For the growing number of devices, sensors, applications, and data residing at the edge, uncertainty may be a fact of life, but with the right telemetry data, IT Ops teams can arm themselves against uncertainty and better predict issues before they become outages.
What is Technically Speaking?
Technically Speaking features captivating conversations between Chris Wright and a rotating cast of experts and industry leaders around what's on the horizon for technology.
Want to participate? Leave us a comment if there's a topic or a guest you'd like to see featured.
See how Red Hat OpenShift can help you harness the power of edge [...]
See how Red Hat OpenShift can help you harness the power of edge computing.
To learn more, visit: openshift.com/edge
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MWC19 Media & Entertainment: Tips and Tricks for 5G and the Network Edge
In this panel session from MWC19 Barcelona, experts discuss how Media [...]
In this panel session from MWC19 Barcelona, experts discuss how Media & Entertainment companies need a secure, agile and virtualized network to unlock new services at the edge, maximize efficiencies ...of the infrastructure and deliver on the promise of 5G. In order for increased speeds and low latency to meet consumer expectations, 5G connectivity and edge computing capabilities will need to be ubiquitously deployed. Future digital success for Media & Entertainment companies will only be realized with the power of the network and the intelligence at the edge.
#Edge #MWC19 #5G
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OCB: Red Hat's approach to edge computing with Nick Barcet (Red Hat)
From manufacturing, to energy, to telecommunications - industries [...]
From manufacturing, to energy, to telecommunications - industries everywhere are looking at how to benefit from edge computing to help lower costs, scale their infrastructure, and create new business opportunities. ...In this session you’ll hear Red Hat’s strategy for edge computing and the importance of its linkage to open hybrid cloud and open source. We’ll also cover our architectural approach to addressing the needs of different edge tiers including 3 node Kubernetes clusters and how automation and management play a crucial role in deploying and life-cycle managing an edge architecture.
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Modernize telco business support systems for 5G with Red Hat
How can telco service providers be more agile and faster to market [...]
How can telco service providers be more agile and faster to market while exceeding customer expectations? Today’s telecommunications service providers have an unprecedented opportunity to expand current revenue streams and ...capture new ones. Modern business support systems (BSS) are the foundation to exceed customer expectations with differentiated digital engagements and services. Red Hat provides the trusted, open foundation and expertise you need to modernize your BSS at your pace. Learn how to make your 5G rollout a success.
Achieving your edge potential with an open ecosystem
A strong and robust ecosystem is crucial to a successful edge [...]
A strong and robust ecosystem is crucial to a successful edge strategy. Red Hat connects you to an open ecosystem that helps you reach your potential as a digital service ...provider and take advantage of new opportunities wherever you define your edge.
Achieving your edge potential with an open ecosystem
A strong and robust ecosystem is crucial to a successful edge [...]
A strong and robust ecosystem is crucial to a successful edge strategy. Red Hat connects you to an open ecosystem that helps you reach your potential as a digital service ...provider and take advantage of new opportunities wherever you define your edge.
Ansible Automation enabling 5G all the way to the edge
Red Hat® Ansible® Automation can be applied to the deployment and [...]
Red Hat® Ansible® Automation can be applied to the deployment and management of various virtualized or containerized components at the edge, core, and in between to enable 5G use cases. ...Watch this whiteboarding video to learn how. Presenters: Piyush Patel & Rimma Iontel
With the emergence of new technologies such as augmented and virtual [...]
With the emergence of new technologies such as augmented and virtual reality, autonomous cars, drones and IOT with smart cities, data is increasingly being produced at the user end of ...the network. These use cases demand real-time processing and communication between distributed endpoints, creating the need for efficient processing at the network edge.
On this NMG hosted panel with Ian Hood CTO, Telecommunications, Red Hat and Rajesh Gardiyar CTO, Networks Platform Group, Intel Corp. will explore the change in value chain with Edge Compute and will bring different perspectives on this major industry transformation.
Learn more: redhat.com/telco
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MWC19 Media & Entertainment: Tips and Tricks for 5G and the Network Edge
In this panel session from MWC19 Barcelona, experts discuss how Media [...]
In this panel session from MWC19 Barcelona, experts discuss how Media & Entertainment companies need a secure, agile and virtualized network to unlock new services at the edge, maximize efficiencies ...of the infrastructure and deliver on the promise of 5G. In order for increased speeds and low latency to meet consumer expectations, 5G connectivity and edge computing capabilities will need to be ubiquitously deployed. Future digital success for Media & Entertainment companies will only be realized with the power of the network and the intelligence at the edge.
#Edge #MWC19 #5G
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Building a Road Map for Sustainable Operations and Avoiding Common Roadblocks
Sustainability is an overly broad term that can mean many different [...]
Sustainability is an overly broad term that can mean many different things to different entities. As a result, industrial organizations often struggle with building the proper framework and demonstrating success. ...The Industry 4.0 initiatives that companies have embraced for years have a natural connection to delivering tangible improvements in incidents, energy, water, and waste.
The first step every industrial organization should take is building the right framework and fostering a culture committed to executing the road map, one which involves both a top-down and bottom-up approach. Without buy-in from all levels of employees, these initiatives are bound to continue spinning their wheels and seeing little progress.
In this video, you will hear from an IDC analyst on the elements for building a sustainability roadmap.
The Role of Technology in Enabling Sustainable Operations
The industrial environment is changing faster than ever before. [...]
The industrial environment is changing faster than ever before. Sustainability is a topic that will only grow in importance over time, whether the primary driver is from governments or consumers. ...Organizations that act now will be best set up to succeed.
Most industrial companies tend to rely upon a mix of plants, assets, and technology systems that are decades old and limited in functionality. This situation results in information that is difficult to access and analyze, hindering the ability to make the most effective decisions in the necessary timeframe.
The reality is that industrial organizations either do not have access to the sustainability data they need, or it is stuck in a silo and unable to be utilized. Successful industrial organizations are creating, gathering, integrating, and analyzing critical data throughout their operational processes to increase visibility into sustainability and optimize performance.
Software defined vehicles (SDV) may be physical, but they rely on a [...]
Software defined vehicles (SDV) may be physical, but they rely on a host of virtual instances that need to be managed, and selecting the right software and tools is critical ...to effective delivery of competitive vehicles into market.The benefits of SDV in terms of delivering functionality faster and throughout the vehicle lifetime are obvious and are driving a seismic shift in the industry. The challenge we now face is understanding how to create a platform strategy that will efficiently deliver those benefits.
Watch this video to learn - Why does the automotive industry now have so many ""virtual things"" that need to be managed? What are the biggest challenges facing the industry in developing new connected vehicle infrastructures? How do you deliver a coherent connected vehicle infrastructure platform to manage all these ""virtual things""?
Red Hat and Intel Intelligent Edge Solution Center
Kelly Switt and John Archer discuss how Red Hat and Intel are [...]
Kelly Switt and John Archer discuss how Red Hat and Intel are advancing the Industry 4.0 ecosystem with a collaborative lab environment to accelerate the development, deployment, and management of ...integrated edge and artificial intelligence and machine learning (AI/ML) solutions.
Edge in Manufacturing: Streamlining IT/OT Collaboration with Red Hat
Uncover the power of streamlined collaboration between Information [...]
Uncover the power of streamlined collaboration between Information Technology (IT) and Operational Technology (OT) in manufacturing industries to create a secure, efficient, and adaptable critical infrastructure environment.
Take control of the ...network edge of your OT with Red Hat.
Automation at the edge helps organizations maintain security, improve [...]
Automation at the edge helps organizations maintain security, improve efficiency and increase scalability. Red Hat Edge and Ansible Automation Platform provide consistent experience for managing applications anywhere - from core ...to cloud to edge.
The advancements in AI and machine learning (ML) have made decision [...]
The advancements in AI and machine learning (ML) have made decision making at or near the data source possible—avoiding higher costs and delays associated with sending data from where it ...is collected at the edge back to the cloud for analysis. Integrating AI at the edge optimizes the capabilities offered by many industries including Manufacturing and Retail. See how Red Hat’s open source infrastructure supports the full edge spectrum.
AWS re:Invent 2018: Machine Learning at the IoT Edge (IOT214)
Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect ...and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
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AWS re:Invent 2018: Machine Learning at the IoT Edge (IOT214)
Whether it's connected cars, smart home devices, or industrial [...]
Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect ...and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
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Hybrid Machine Learning: From the Cloud to the Edge (Cloud Next '18)
How to leverage Cloud, Kubernetes, and other OSS tooling to build [...]
How to leverage Cloud, Kubernetes, and other OSS tooling to build models and run them anywhere. We will look at what kinds of models are best to run on the ...edge, architectures, deployment, and other important topics.
event: Google Cloud Next 2018; re_ty: Publish; product: Cloud - General; fullname: Rob Schmit;
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Best Practices: Deep Learning and Edge Computing
In this video from the 2018 Swiss HPC Conference, Zaikun Xuj from [...]
In this video from the 2018 Swiss HPC Conference, Zaikun Xuj from Università della Svizzera Italiana (USI)/Institute of Computational Science (ICS) presents: Best Practices: Deep Learning and Edge Computing.
"Deep ...learning is shaping the future of many industrial sectors and the need for deploying a powerful model on an embedded-device is challenging, this talk tries to give a overview of the fast evolution of edge computing."
One of the promise of IoT is to allow bringing the intelligence of the [...]
One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data ...source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and more...
One thing you really have to consider when bringing Artificial Intelligence to the edge is the hardware you will need to run these powerful algorithms. Ted Way from the Azure Machine Learning team joins Olivier on the IoT Show to discuss hardware acceleration at the Edge for AI. We will discuss scenarios and technologies Microsoft develops and uses to accelerate AI in the Cloud and at the Edge such as Graphic cards, FPGA, CPU,... To illustrate all this, Ted walks us through real life scenarios and demos IoT Edge running Machine Learning vision algorithms.
Learn more about hardware acceleration for AI at the Edge: https://docs.microsoft.com/azure/machine-learning/service/concept-accelerate-with-fpgas
Create a Free Account (Azure): https://aka.ms/aft-iot
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Intelligent Edge
Edge computing is a natural evolution of cloud computing, where server [...]
Edge computing is a natural evolution of cloud computing, where server resources, ranging from a credit-card size computers to micro data centers, are placed closer to data and information generation ...sources. Application and system developers use these resources to enable a new class of latency- and bandwidth-sensitive applications that are not realizable with current mega-scale cloud computing architectures. Industries, ranging from manufacturing to healthcare, are eager to develop real-time control systems that use machine learning and artificial intelligence to improve efficiencies and reduce cost and the Intelligent Edge is in the center of it all. In this session, we will explore this new computing paradigm by discussing emerging challenges, technologies, and future business impact.
CES 2018 – Demonstrating techniques to monitor any machine with a [...]
CES 2018 – Demonstrating techniques to monitor any machine with a motor through machine learning at the end node using NXP’s development board with an NXP MCU and NXP sensors ...for sources of data for machine learning. Local computation can be done at the location of the machine for a wide variety of applications.
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Deep Learning Neural Network Acceleration at the Edge - Andrea Gallo, Linaro
Deep Learning Neural Network Acceleration at the Edge - Andrea Gallo, [...]
Deep Learning Neural Network Acceleration at the Edge - Andrea Gallo, Linaro
The dramatically growing amount of data captured by sensors and the ever more stringent requirements for latency and real ...time constraints are paving the way for edge computing, and this implies that not only big data analytics but also Machine Learning (ML) inference shall be executed at the edge. The multiple options for neural network acceleration in recent Arm-based platforms provides an unprecedented opportunity for new intelligent devices with ML inference. It also raises the risk of fragmentation and duplication of efforts when multiple frameworks shall support multiple accelerators.
Andrea Gallowill summarise the existing NN frameworks, model description formats, accelerator solutions, low cost development boards and will describe the efforts underway to identify the best technologies to improve the consolidation and enable the competitive innovative advantage from all vendors.
About Andrea Gallo
Andrea Gallo is VP of Segments and Strategic Initiatives at Linaro, responsible for the activities from Arm-based cloud servers to edge computing and networking, IoT, smartphones and digital home, artificial intelligence. Former Director of the Linaro Enterprise Group, Andrea kick-started the open source collaborative efforts around Arm servers in 2012. Andrea joined Linaro in 2010 at its foundation as ST-Ericsson Fellow and representative in the Linaro technical board. Back in 2005 Andrea set up STMicroelectronics Linux teams in Noida and Bangalore working on smartphone application processors culminating in the first Android port on the Nomadik SoC with hw video acceleration in 2009. Andrea was group leader for the world first USB ADSL and PSTN softmodems in 1997-1999 and summer trainee at Arm (Acorn Computers) in July 1987 and 1988 working on the ARM2 chip.
CES 2018 – NXP’s Edge Compute Experience Facial Recognition Registration Kiosk demonstrates facial training and tracking capabilities based on NXP NFC technology and Layerscape processors. Face ...detect uses TensorFlow & MTCNN. NXP’s i.MX processors drive the control interface and manage cameras. All facial recognition software is executed locally in Docker container on NXP’s Layerscape processor.
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Astrum Processor for Machine Learning and Blockchain at the Edge
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Anomaly Detection Performed at the Edge using Machine Learning at NXP Connects 2018
Steve Tateosian, Director for IoT & Security Solutions, shows how [...]
Steve Tateosian, Director for IoT & Security Solutions, shows how Anomaly Detection can be done at the edge by computing irregularities in behavior models that are constructed using Machine Learning ...– all done with NXP sensors and a low-cost MCU. #IoTSolutions
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Micron: Seamless Prediction at the Edge Using TensorFlow on FPGAs
IoT is exploding, with 50 billion sensors predicted by 2020. These [...]
IoT is exploding, with 50 billion sensors predicted by 2020. These sensors create daunting data streams. To businesses, though, the real value comes from learning what patterns lye ...hidden in these streams. At the edge, power constraints suggest using technologies like FPGAs. However, they have been notoriously difficult to program—until now. Come hear how Micron can deploy deep-learning models created with Tensorflow—with no code change—on power-efficient Micron FPGA systems.
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XDF 2018 – Leveraging Xilinx reVISION for Machine Learning at the Edge
Javier Garcia of GL Research delivers a use case presentation in the [...]
Javier Garcia of GL Research delivers a use case presentation in the Edge Track of XDF 2018 in Frankfurt on Jan 9, 2018. Javier discusses GL Research specializes in artificial ...intelligence and how they use the All Programmable SoC from Xilinx.
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AI on the Edge - Nigel Parker & Dan Glover
Is building mobile apps connected to the cloud no longer interesting [...]
Is building mobile apps connected to the cloud no longer interesting to you? Are you wondering what to look at learning next?
Come to this session to learn about the emerging ...trend of building intelligent apps that run disconnected from the Internet. In this talk we will deliver a primer on edge computing and AI. We will introduce the AI Toolkit for Azure IoT Edge and demonstrate how you can build an image classifier using a range of techniques that can be run and published offline.
Integral to the IoT is the concept of sensors or edge nodes being programmed—or “trained”— to detect and report issues, based upon information extracted from vibrations, acoustics, pressure, ...etc.
NXP simplifies this process by providing a framework that handles the complexities of sensor sampling, feature extraction and machine learning.
Edge computing places workloads closer ...to where data is created and where actions need to be taken. It addresses the unprecedented scale and complexity of data created by connected devices. As more and more data comes in from remote IoT edge devices and servers, it’s important to act on the data quickly. Acting quickly can help companies seize new business opportunities, increase operational efficiency and improve customer experiences.
In this video, Rob High, IBM Fellow and CTO, provides insights into the basic concepts and key use cases of edge computing.
Edge computing places workloads closer ...to where data is created and where actions need to be taken. It addresses the unprecedented scale and complexity of data created by connected devices. As more and more data comes in from remote IoT edge devices and servers, it’s important to act on the data quickly. Acting quickly can help companies seize new business opportunities, increase operational efficiency and improve customer experiences.
In this video, Rob High, IBM Fellow and CTO, provides insights into the basic concepts and key use cases of edge computing.
Edge computing is what it sounds like: computing that takes place at [...]
Edge computing is what it sounds like: computing that takes place at the edge of corporate networks, with “the edge” being defined as the place where end devices access ...the rest of the network – things like phones, laptops, industrial robots, and sensors. Learn more about how this process works.
#edgecomputing
IoT, networking, end devices, security, Network World, server, cloud computing, internet of things, the cloud
Edge computing, its uses, and edge computing problems are explained in [...]
Edge computing, its uses, and edge computing problems are explained in comparison to the Cloud. The upsurge of the IoT, 5G, and AR along with their expected future explosions has ...created a demand for an edge computing world.
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What is Edge Computing? | Schneider Electric
Cloud computing has revolutionised how people store and use their [...]
Cloud computing has revolutionised how people store and use their data. However, there are some areas where Cloud is limited. Latency, bandwidth, security, and a lack of offline access can ...be problematic.
To solve this problem, users need robust, secure and intelligent on-premise infrastructure for edge computing. When data is physically located closer to the users who connect to it, information can be shared quickly, securely, and without latency. In financial services, gaming, healthcare and retail, low levels of latency are vital for a great customer digital experience. To improve reliability and faster response times, combine cloud with edge infrastructure from APC by Schneider Electric.
Computing is facing a speed-versus-scale challenge as more devices [...]
Computing is facing a speed-versus-scale challenge as more devices generate more data from more locations. The cloud offers unrivaled computing power and storage, but getting data there and back takes ...time, limited by the speed of light and size of the internet’s “pipes.” Enter edge computing: an approach that brings the cloud’s capabilities closer to the devices generating the data. Goldman Sachs Research’s Heather Bellini sees this technology supplementing the cloud to unlock new real-time data applications—from telling self-driving trucks when to brake to alerting oil drills when to change course. Learn More https://www.goldmansachs.com/insights/pages/edge-computing.html
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Edge Computing Platform
NTT Network Innovation Laboratories -2015-
NTT Network Innovation Laboratories -2015-
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what is edge computing platform???
Edge computing is a distributed information technology (IT) [...]
Edge computing is a distributed information technology (IT) architecture in which client data is processed at the periphery of the network, as close to the originating source as possible.
Data is ...the lifeblood of modern business, providing valuable business insight and supporting real-time control over critical business processes and operations. Today's businesses are awash in an ocean of data, and huge amounts of data can be routinely collected from sensors and IoT devices operating in real time from remote locations and inhospitable operating environments almost anywhere in the world.
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The End of Cloud Computing
"I'm going to take you out to the edge to show you what the future [...]
"I'm going to take you out to the edge to show you what the future looks like." So begins a16z partner Peter Levine as he takes us on a "crazy" ...tour of the history and future of cloud computing -- from the constant turns between centralized to distributed computing, and even to his "Forrest Gump rule" of investing in these shifts.
But... how can we say cloud computing is coming to an "end" when it hasn't even really started yet?? Because the edge -- where self-driving cars and drones are really data centers with wheels or wings -- is where it's at. So where does machine learning in the enterprise come in? How does this change IT? As software programs the world, these are some of the shifts to look at...
***
The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments and certain publicly traded cryptocurrencies/ digital assets for which the issuer has not provided permission for a16z to disclose publicly) is available at https://a16z.com/investments/.
Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.
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Beyond the Cloud: Edge Computing
As we move toward a world where everything is smart and connected, [...]
As we move toward a world where everything is smart and connected, there is a massive flood of data. This considerable growth requires the data center to analyze and transform ...data at an unprecedented scale. These transformations are powered by an end-to-end infrastructure from the cloud and data center, the network, and the Internet of Things (lo.I), and are bound together by connectivity.
Talk from Mark Skarpness, Vice President, Software and Services Group Director, Open Source Technology Center Datacenter System Software, Intel Corporation
Talk given at the 2018 Open Source Leadership Summit.
This talk is under the creative commons license. freeCodeCamp is not associated with this talk. We're just excited to bring more exposure to to it!
As IoT and the digitalization of business grow there are increasing [...]
As IoT and the digitalization of business grow there are increasing challenges of managing large amounts of data. See how utilizing edge computing supports this growing data load and why ...Gartner predicts that by 2025 75% of enterprise-generated data will be created and processed outside of the cloud.
Cloud Computing Vs Fog Computing | How Does Fog Computing Works | Cloud Vs Fog | Intellipaat
🔵 Intellipaat : [...]
🔵 Intellipaat : https://intellipaat.com/cloud-computing-certification-program-iit-roorkee/
In this Cloud Computing Vs Fog Computing video, you will learn Introduction to Cloud Computing, What Is Fog Computing, Difference Between Cloud Vs Fog Computing, How Fog ...Computing Works, Example of Fog Computing. This How Does Fog Computing Works video is a must-watch for everyone who wishes to learn Cloud Computing and make a career in it.
If you’ve enjoyed this Cloud Jobs Without Coding video, Like us and Subscribe to our channel for more similar informative videos.
Got any questions about why cloud computing? Ask us in the comment section below.
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Cloud computing benefits are huge. It is highly reliable, extremely cost-effective, and amazingly secure. The kind of service it boasts of makes a wonderful option for the organizations to choose. The future of cloud computing is bright so it makes a must for a professional to learn cloud computing considering the kind of future it has.
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If you want to fast-track your career then you should strongly consider cloud computing. Today cloud computing is no longer optional but critical to the success of some of the biggest enterprises on earth. The Intellipaat cloud computing course is completely oriented towards practical applications and hence gives you a clear advantage. There is a huge demand for cloud computing certified professionals. The salaries of cloud professionals are very good.
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Both involve bringing data computation and intelligence closer to where the data is created. But edge computing is data computation that happens in close proximity to where the data is being made, and fog computing acts as a mediator between the edge and the cloud for purposes like data filtering and analytics.
OnLogic designs and manufactures powerful, highly-configurable small form factor industrial and rugged computers that thrive where others fail. Learn more about how OnLogic helps innovators make it possible at http://www.OnLogic.com. #IIoT #edgecomputing
Welcome to 120 Academy where we take difficult to understand [...]
Welcome to 120 Academy where we take difficult to understand technologies and break them down in 120 seconds.
In this video, you’re going to learn what Fog Computing means.
So, let’s ...dive right in.
What is fog computing?
We hear this question a lot.
Most of the time, the answer is vague and complex.
But don’t worry.
Today, you’ll get a simple and fast explanation.
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Cloud Computing Full Course | Cloud Computing Tutorial For Beginners | Cloud Computing | Simplilearn
🔥Cloud Architect Masters Program (Discount Code - YTBE15) - [...]
In this Cloud Computing full course, we'll give you everything you ...need to know about cloud computing! We'll cover the fundamentals of cloud computing, the cloud computing lifecycle, and important concepts of AWS, Azure, and the Google Cloud Platform.
Below topics are explained in this Cloud Computing full course(Cloud computing tutorial for beginners):
1. Before Cloud Computing 01:15
2. What is Cloud Computing 02:50
3. Benefits of Cloud Computing 03:44
4. Types of Cloud Computing 05:44
5. Lifecycle of Cloud Computing 09:41
6. What is AWS 13:14
7. History of AWS 16:47
8. Service AWS Offers 18:11
9. How does AWS Make Lives Easier 20:26
10. AWS Tutorial 22:50
11. How did AWS become so successful 22:50
12. The services AWS provides 31:35
13. The future of AWS 38:53
14. What is Azure 45:47
15. Azure Services 47:32
16. Uses of Azure 51:11
17. Azure Tutorial 51:50
18. What is Microsoft Azure 01:01:31
19. what are the services Azure offers 01:08:00
20. How is Azure better than other Cloud Services 2:11:29
21. Companies that use Azure 2:15:08
22. AWS vs Azure 2:29:50
23. Comparison round Market share and options 02:33:02
24. AWS vs Google Cloud 02:38:17
25. AWS vs Azure vs GCP 02:45:37
26. What is Amazon Web services 02:46:13
27. What is Microsoft Azure 02:46:25
28. What is Google Cloud Platform 02:46:34
29. Compute Services 02:47:49
30. Storage Service 02:50:49
31. Key Cloud tools 02:54:19
32. Companies using cloud providers 02:55:16
33. Advantages 02:55:40
34. Disadvantages 02:57:43
35. AWS Certifications 02:59:28
36. Which is suitable for you 03:00:13
37. Azure Certifications 03:06:46
38. What is an Azure Certifications 03:06:55
39. What makes Azure so Great 03:07:31
40. Who is a Cloud Computing Engineer 3:24:46
41. Steps to become a Cloud Computing Engineer 03:23:13
42. Cloud Computing Engineer salary 03:27:28
43. AWS Interview Questions Part-1 03:28:31
44. AWS Interview Questions Part-2 04:59:02
45. Multiplte Choice Questions 05:49:50
46. Azure Interview Questions 05:59:58
➡️ Why become a Cloud Architect?
With the increasing focus on cloud computing and infrastructure over the last several years, cloud architects are in great demand worldwide. Many organizations have moved to cloud platforms for better scalability, mobility, and security, and cloud solutions architects are among the highest-paid professionals in the IT industry.
➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.
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🎙️ LINUX AND OPEN SOURCE NEWS PODCAST:
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#googledrive #onedrive #icloud
00:00 Intro
00:46 Sponsor: 100$ free credit for your Linux or Gaming server
01:44 Nextcloud: self hosted and open source
03:53 Syncthing: just FOSS file sync
05:17 Proton Drive: if you already use Proton mail
06:46 Cozy Cloud: French Connection
08:13 pCloud: competitive prices with encryption
09:28 MEGA: massive encrypted storage
10:54 Zoho: all in one workspace
12:24 And more...
13:19 Sponsor: Get a device that runs Linux perfectly
14:16 Support the channel
Nextcloud file storage is pretty powerful. It handles folders, you can favorite files and folders to get back to them easily, you can tag anything you like, you can share anything either with selected people, or with a public link, you can even add comments to any file, and it supports versioning as well to restore older versions if you want.
On top of that, you can also mount that storage as webdav, in any good file manager. On Linux, with GNOME and KDE, this happens automatically when you configure a nextcloud account in the online accounts settings.
And of course, you have a desktop client that lets you sync files either from a Nextcloud folder, or even from outside that folder, to make sure your files are where you want them.
Syncthing isn't exactly cloud storage, it doesn't store files on a cloud server, it just syncs them from one computer to the other, in real time. So you setup syncthing on your laptop and your desktop, and it will send files back and forth between both devices, without any intermediary in between.
If you're already a ProtonMail customer, you might just want to look at Proton Drive.
It's an end to end encrypted solution, hosted in Switzerland, with relatively strong privacy laws, that don't really matter since everything is encrypted anyways, it's not like someone could look at what you stored, since files are encrypted on your device before being sent to the cloud.
It's also open source, and it obviously integrates well with the other Proton tools, like Mail or Calendar. Even though it's encrypted, you can still share files with others without file size limits, as well as password protect files, define expiration dates for links, and more.
Another open source alternative is Cozy Cloud. It's available for Android, iOS, Linux, macOS and Windows, and it gives you 5GB for free, with additional tiers at 50Gigs for 2 euros 99 per month, and 1TB for 9 euros 98. Still more expensive than Google, but also more private.
It also has auto import features from your phone camera roll to your drive, and can also automatically import certain documents from more than 100 providers, like your bills, health refunds, bank statements, and more, if you want.
pCloud is an option I used extensively in the past for all my cloud storage. It's not open source, but it has optional encryption features if you want to make sure that you're the only one that can look at your stuff. They're on the affordable side, with 500Gigs costing you 50 euros per year, or about 4 euros per month, and 2 terabytes for 100 euros a year, or a bit more than 8 euros per month.
If what you need is massive storage space and you don't want to self host, then I think Mega is your only option. Their base plans are more expensive than others, at 5 euros per month for 400 Gigs, but they can go up to 16Tb for 30 euros per month, which is a LOT of storage for not that much money, considering. The 2TB plan is on par with other options, at 10 euros per month.
And I can't conclude this video without mentioning Zoho. If you don't really care all that much about privacy or open source, but you still want to ditch big tech, then Zoho is probably your best bet. they have replacements for EVERYTHING google does, and a lot more on top of that, and prices are relatively inexpensive.
Introducing the IBM Edge Application Manager playlist
Meet IBM Edge Application Manager! In this series of short videos, IEAM team member Glen Darling introduces you to this versatile and secure program for containerized software management on both ...Kubernetes and standalone Linux systems.
Dig into the capabilities and features of IEAM and start managing your software where your customers are -- at the edge of your network.
____________________________________________
Learn in-demand skills. Build with real code. Connect to a global development community: http://ibm.biz/IBMdeveloperYT
Introducing the IBM Edge Application Manager playlist
Meet IBM Edge Application Manager! In this series of short videos, [...]
Meet IBM Edge Application Manager! In this series of short videos, IEAM team member Glen Darling introduces you to this versatile and secure program for containerized software management on both ...Kubernetes and standalone Linux systems.
Dig into the capabilities and features of IEAM and start managing your software where your customers are -- at the edge of your network.
____________________________________________
Learn in-demand skills. Build with real code. Connect to a global development community: http://ibm.biz/IBMdeveloperYT
Introduction to IBM Edge Application Manager — IBM Developer
It's time to migrate your containerized applications out of your [...]
It's time to migrate your containerized applications out of your stuffy old data centers and deploy them onto the new network edge. IBM's Edge Application Manager (based on the Linux ...Foundation Edge project, Open Horizon) can help you to securely deploy your applications closer to your customers, and closer to where the action is happening out there in the real world.
IBM Edge Application Manager: Intercomponent Communications — IBM Developer
IBM Edge Application Manager enables you to migrate your containerized [...]
IBM Edge Application Manager enables you to migrate your containerized applications out of your data centers and deploy them onto the new network edge. Based on the Linux Foundation Edge ...project, "Open Horizon," IEAM can help you to securely deploy your applications closer to your customers and closer to where the action is.
In this episode, IBM Glen Darling from the IEAM team explores the intercomponent communications within IEAM. Glen dives into agents, AgBots, forward secrecy, cryptographic code signatures, and a whole lot more.
Security and IBM Edge Application Manager — IBM Developer
IBM Edge Application Manager provides autonomous management for edge [...]
IBM Edge Application Manager provides autonomous management for edge computing. A security-first focus is at the heart of IEAM.
Join software engineer Glen Darling as he digs into the security ...features of IBM Edge Application Manager, including a highly decentralized design, numerous agents with authority only for their own nodes, secure communications, and anonymous public key/node ID participants.
If you're looking to understand security software for computing processes at the edge of your network, Glen and IBM Edge Application Manager have got you covered.
Secure Device Onboard for IBM Edge Application Manager
If you're getting into edge computing, you need to know how to set up [...]
If you're getting into edge computing, you need to know how to set up your devices. Glen Darling from the IBM Edge Application Manager team shows you how easy it ...is to set up your edge devices using ownership vouchers and Secure Device Onboard software.
Everything you want to know about IBM Edge Application Manager
Join Glen Darling from the IBM Edge Application Manager team for a [...]
Join Glen Darling from the IBM Edge Application Manager team for a look at everything you might want to know about IEAM, from the original motivations for creating IEAM, to ...the driving tenets of its development, to the finer points of the IEAM architecture.
Seriously, by the time you're finished this video, you might not know *everything* there is to know about IBM Edge Application Manager ... but you'll be getting a lot closer.
IBM Edge Application Manager Deployment: Patterns and Policies
Join Glen Darling from the IBM Edge Application Manager team as he [...]
Join Glen Darling from the IBM Edge Application Manager team as he shows you how IEAM's Agents enforce your intent using both patterns and policies. Learn how and when to ...use each to ensure that you can scale without having to prescriptively detail the software deployments for each of your edge computing nodes.
Edge computing is about running computer workloads as close to the [...]
Edge computing is about running computer workloads as close to the edge of your network as possible. Containers enable your applications to run independently and reliably regardless of environment.
In this ...video, Glen Darling of the IBM Edge Application Manager team shows you how "containerized AI" is now being deployed and run at the edge of enterprise networks.
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Learn in-demand skills. Build with real code. Connect to a global development community: http://ibm.biz/IBMdeveloperYT
