Private cloud for the Internet of Things

 3r3-1032. 3r3-31. Private cloud for the Internet of Things  3r3-1032.
 3r3-1032. Greetings, Habr!
 3r3-1032.
 3r3-1032. We are a team of IT architects from IBM, which is engaged in the creation and promotion of industrial solutions for various industries. In our spare time, we explore new technologies, experiment and try out the best practices.
 3r3-1032.
 3r3-1032. Recent years, the subject of the Internet of Things is very popular. Our customers ask about universal box solutions and platforms that can be located locally in their Data Processing Centers. Most importantly, it is expected that on the basis of such "boxes", all new services and ...
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Compare TCO purchases of "iron" and rent a cloud

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Build a web-based server farm for Kubernetes using LTSP

3r33815. Build a web-based server farm for Kubernetes using LTSP  3r33824. 3r33815. In this article, I would like to show you one cool technology, I successfully use it for Kubernetes. It can be really useful for building large clusters. 3r33818.
 3r33824. 3r33815. From this point on, you no longer have to think about installing the OS and the individual packages on each node. What for? You can do it all automatically through Dockerfile! 3r33818.
 3r33824. 3r33815. The fact that you can buy hundreds of new servers, add them to your work environment and almost instantly get them ready for use is truly amazing! 3r33818.
 3r33824. 3r33815. Intrigued? Now let's ...
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Fast resize of jeeps on the video card

In applications for working with images, the problem of resizing jeeps (JPEG compressed images) is quite common. In this case, you can not immediately make a resize and you must first decode the original data. There is nothing complicated and new in this, but if it needs to be done many millions of times a day, then the optimization of the performance of such a solution, which should be very fast, becomes especially important.
 
Fast resize of jeeps on the video card  
 
 
This task is often encountered when organizing remote hosting for image storage, since most cameras and phones are shot in JPEG format. Daily photo archives of leading web ...
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The book "Azure Developer's Guide"

The book "Azure Developer's Guide" This e-book is written by developers for developers. It describes the basics of the Azure platform, its capabilities for developers and organizations, and how to use them effectively.
 
 
In the second half of the manual, scenarios are given, for example, a tour of Azure portal and the creation of a virtual machine. It also describes the development and deployment of a web application on the Node.js platform with the MongoDB database. We will cover typical tasks, for example CI /CD, intermediate environments, scaling and monitoring. Finally, you will learn how to create a server part for your mobile applications ...
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The book "Basics of Microsoft Azure"

The book "Basics of Microsoft Azure" This book provides the most important information about the key services of the Azure platform for developers and IT professionals with no experience with cloud technologies. Detailed step-by-step instructions are provided to help the reader learn the basics of working with all important services.
 
 
The material will be useful not only for beginners mastering Azure, but also for professionals who need to restore material in memory, as well as for people familiar with only some of the topics discussed. The chapters of the book are independent: to understand the contents of a chapter, you do not need to ...
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- an integrated circuit of a special purpose ( <{short}>   Tensor processor of the third generation    Tensor processor Google - an integrated circuit of a special purpose (   Tensor processor of the third generation    Tensor processor Google - an integrated circuit of a special purpose ( ? ASIC), Developed from the ground up by Google to perform tasks on machine learning. It works in several major Google products, including Translate, Photos, Search Assistant and Gmail. The cloud-based TPU provides the benefits of scalability and ease of use to all developers and data scientists who run advanced machine learning models in the Google ...
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Reliable storage with DRBD9 and Proxmox (Part 2: iSCSI + LVM)

Reliable storage with DRBD9 and Proxmox (Part 2: iSCSI + LVM)
 
In the previous article I considered the possibility of creating a failover NFS server using DRBD and Proxmox. It turned out pretty good, but we will not stop there and now we will try to "squeeze out all the juices" from our store.
 
In this article I will describe how to create a fault-tolerant iSCSI-target in a similar way, which we will cut into small pieces using LVM and use it for virtual machines.
 
This approach will reduce the load and increase the speed of data access several times, this is especially advantageous when you do not need competitive access to data, for example, when you need ...
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The new Google Compute Engine VM images for Deep Learning

The new Google Compute Engine VM images for Deep LearningCo-author of the article: Mike Cheng
 
Google Cloud Platform now in its portfolio has images of virtual machines, designed specifically for those involved in Deep Learning. Today we will talk about what these images represent, what advantages they give to developers and researchers, and of course how to create a virtual machine based on them.
on the official page .
 
But why these images themselves are needed?
 
Let's assume that you need to train a neural network model with Keras (with TensorFlow). The speed of training is important to you and you decide to use the GPU. To use the GPU, you ...
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Gartner: the main thing in the IaaS market in 2018 is

Gartner: the main thing in the IaaS market in 2018 is
 
 
In May, appeared the "magic quadrant" Gartner in 2018 for the IaaS-market: Magic Quadrant for Cloud Infrastructure as a Service, Worldwide . The team of Mail.Ru Cloud Solutions has made a squeeze on the most interesting topics that we share with you - perhaps someone will be helpful. How does the business use the clouds and what does it expect? What are the trends of the year in the cloud services market? How does today look like a "magic quadrant" for IaaS? In the final part of the post we share our vision of the situation on the domestic market.
 
 
 
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