#cloud-vms
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tetedurfarm · 9 days ago
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me: ok i need to conserve cage space so i can make sure i keep good holdbacks from all my retiring does
@grace-runner : hey who wants this i can bring her to state
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sigh.....
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delinquentluvr · 1 year ago
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awakening second gen. memes 1/?
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mysterialnos · 11 months ago
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Oooh, more than that, and I want to blab about it!
So in short CrowdStrike, a Cybersecurity company, more or less accidentally cyber attacked Microsoft's Cloud Services via a bugged update. Microsoft uses CrowdStrike's services for their Cloud Services, and missed the bug as well one way or another (in what I hope was an isolated check they did before uploading the updated version to their customers that happened to not have caught the fatal error.)
The update fatally corrupted Microsoft's Cloud System to such a degree that any of their customers using their Cloud Systems in their software were rendered useless.
What the lovely Dean doesn't say here is a lot of these Customers systems are whole POS systems. Aside from diners, every POS systems I've encountered since yesterday has been down and rendered useless: hotels, arcades, some general stores. Mostly it seems like bigger Customers/Companies (bigger companies are using Microsoft's Cloud Services).
Also if anyone is up for PMing me any outages they're experiencing that I don't have listed please lmk! I'm curious and would love to list.
So far I know:
Several Airlines
Several Banks
Several State's 911 lines
Several POS Systems (likely the VM issue)
Several Hospitals
TBC
(research/looking around. I don't have my computer cuz I'm stuck at an airport, but I might go through and see if I can find customer lists and get specific and otherwise update this.)
Here is a link to the Microsoft Cloud/Azure Outage report:
(This is the status history; it is the first ticket 1K80-N_8)
Here is a link to the VM (Virtual Machine) Microsoft Cloud/Azure outage that is currently still active:
(Since it is still active, it is listed on the front page)
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rip windows
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emakegr · 2 days ago
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Unlock the Future of Your Data Center: Unlimited Virtualization with Dell and Windows Server 2022
Ανακαλύψτε το Μέλλον της Ψηφιακής Υποδομής με Απεριόριστη Εικονικοποίηση
Σε έναν κόσμο όπου η τεχνολογία εξελίσσεται με ραγδαίους ρυθμούς, η διαχείριση και η επέκταση των δεδομένων σας γίνεται πιο εύκολη και αποτελεσματική με τις λύσεις που προσφέρουν η Dell και το Windows Server 2022. Η εικονικοποίηση αποτελεί το κλειδί για την απελευθέρωση του πλήρους δυναμικού του data center σας, επιτρέποντάς σας να δημιουργήσετε μια ευέλικτη, ασφαλή και αποδοτική υποδομή.
Μέσω της τεχνολογίας Hyper-V και των προηγμένων δυνατοτήτων του Windows Server 2022, μπορείτε να δημιουργήσετε απεριόριστα εικονικά μηχανήματα, μειώνοντας το κόστος και αυξάνοντας την αποτελεσματικότητα. Η Dell παρέχει τις πιο αξιόπιστες και προηγμένες λύσεις hardware που συνεργάζονται άψογα με το λογισμικό της Microsoft, επιτρέποντάς σας να χτίσετε ένα ιδιωτικό cloud που ανταποκρίνεται στις ανάγκες της επιχείρησής σας.
Είναι η στιγμή να επωφεληθείτε από τις δυνατότητες που προσφέρουν οι σύγχρονες τεχνολογίες. Με την απεριόριστη εικονικοποίηση, μπορείτε να διαχειριστείτε πολλαπλά περιβάλλοντα, να αυξήσετε την ασφάλεια και να βελτιώσετε την απόδοση των εφαρμογών σας. Επιπλέον, η ευελιξία που προσφέρει αυτή η πλατφόρμα σημαίνει ότι μπορείτε να επεκταθείτε γρήγορα και να προσαρμόσετε το data center σας στις μεταβαλλόμενες ανάγκες της αγοράς.
Μάθετε περισσότερα και χτίστε το μέλλον της ψηφιακής σας υποδομής με τις λύσεις που συνδυάζουν την καινοτομία της Dell και των Windows Server 2022. Για περισσότερες πληροφορίες, επισκεφθείτε το Χτίστε το Μέλλον του Datacenter σας: Απεριόριστη Εικονικοποίηση με Dell και Windows Server 2022.
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juicyltd · 6 days ago
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クラウド環境で構築するWordPressサイト:リソース構成例と、最適なクラウド選定
現代のWebサイト構築において、WordPressはその柔軟性と使いやすさから広く採用されています。トラフィックの増大や安定稼働へのニーズが��まるにつれて、そのホスティング先として堅牢でスケーラブルなクラウドサービスの選択が不可欠となっています。本記事では、主要な4つのクラウドプロバイダー、Amazon Web Services (AWS)、Microsoft Azure、Google Cloud (GC)、Oracle Cloud (OC) に焦点を当て、WordPressを公開するための具体的なリソース構成例と、それぞれのクラウドでかかる費用に関する考え方を詳しく解説します。 WordPress…
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techtrickszonedotcom · 2 months ago
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TP-Link Cloud VMS (Video Management System) Setup and Add NVR, Network C...
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govindhtech · 3 months ago
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5th Gen AMD EPYC and H4D Virtual Machines For Cloud HPC
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Next-generation HPC-optimized H4D VMs
At Google Cloud Next, Google Cloud introduced H4D virtual machines (VMs), their latest HPC machine type. Based on HPC capabilities, H4D virtual machines (VMs) fulfil the evolving needs of demanding workloads in manufacturing, weather forecasting, EDA, healthcare, and life sciences.
H4D virtual machines run on 5th generation AMD EPYC Processors with over 950 GB/s memory bandwidth and 12,000 gflops whole-node virtual machine performance. Cloud Remote Direct Memory Access (RDMA) on Titanium gives H4D, the first CPU-based virtual machine, minimal latency and 200 Gbps network bandwidth. With this powerful mix, you can quickly get insights and develop HPC workloads.
H4D outperforms C3D by 1.8x per virtual machine (VM) and 1.6x per core for the open-source High-Performance Linpack (OSS-HPL), a benchmark for supercomputer floating-point computation. H4D outperforms C2D by 1.7x per core and 5.8x per virtual machine.
H4D outperforms C3D by 1.4x per core and 1.3x per VM on STREAM Triad, a memory bandwidth benchmark. H4D outperforms C2D by 1.4x per core and 3x per virtual machine.
Increased HPC application performance
H4D virtual machines (VMs) outperform AMD-based C2D and C3D in compute performance and memory bandwidth. This speeds up simulations and analysis and improves performance across a variety of HPC applications and benchmarks compared to C2D, a prior generation AMD-based HPC VM:
Manufacturing
Siemens Simcenter STAR-CCM+/HIMach and other CFD packages enhance 3.6x.
Ansys Fluent/f1_racecar_140 and other CFD applications enhance 3.6x.
FEA-explicit programs like Altair Radioss/T10m improve up to 3.6x.
CFD applications like OpenFoam/Motorbike_20m increase by 2.9x.
Ansys Mechanical/gearbox and other implicit FEA programs improve 2.7x.
Healthcare and life sciences:
Molecular Dynamics (GROMACS) increases five-fold.
Weather forecasting
WRFv4, an industry benchmark, improves 3.6x.
AMD's tight relationship with Google Cloud drives the next generation of cloud-based HPC with the new H4D VMs. The 5th Gen AMD EPYC CPUs' architectural advances allow Google Cloud to enhance HPC benchmark performance by a significant amount. Customers may speed up their hardest HPC jobs and get immediate insights. Corporate vice president of AMD's Cloud Business Ram Peddibhotla
Titanium Cloud RDMA accelerates HPC
These virtual machines' first Titanium offload, Cloud RDMA, boosts H4D performance. Cloud RDMA is dedicated to HPC applications including molecular dynamics, weather modelling, computational fluid dynamics, and others that require inter-node communication. Cloud RDMA outsources network processing and provides consistent, low-latency, high-bandwidth connections between compute nodes, reducing host CPU constraints.
Cloud RDMA uses Falcon hardware transport to deliver reliable, low-latency communication over Google Cloud Ethernet-based data centre networks. This effectively solves RDMA over Ethernet difficulties and provides reliable, high-performance at scale.
Since Cloud RDMA employs more computing resources than Falcon, simulations are faster. H4D gives 3.4x and 1.9x speedups on four virtual machines (VMs) via TCP for smaller CFD issues like OpenFoam/motorbike 20m and Simcenter Star-CCM+/HIMach10, which have limited inherent parallelism and are hard to accelerate.
Scheduling and clustering
Cluster Director (formerly Hypercompute Cluster) and DWS will be supported by H4D virtual machines.
DWS helps schedule HPC workloads for optimal performance and cost-effectiveness and ensures resource availability for time-sensitive simulations and flexible HPC applications.
Cluster Director can now build and scale a large, physically-colocated accelerator cluster as a single unit in HPC settings. Cluster Director simplifies HPC cluster creation and management utilising H4D virtual machines by allowing researchers to run large-scale simulations.
Virtual machine sizes and regional availability
Google Cloud offers ordinary and high-memory H4D virtual machines for various workloads. The CPU-based seismic processing and structural mechanics applications Abaqus, NASTRAN, Altair OptiStruct, and Ansys Mechanical require high-speed storage. Google Cloud offers local SSD options.
Plans are underway to expand H4D virtual machines outside Europe-West4-b (Netherlands) and the US-Central1-a (Iowa).
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jatinbansalblog · 4 months ago
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davepaste · 6 months ago
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Wanted to see if I could run Docker on my phone and all the responses are about how it's impractical
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infosectrain03 · 1 year ago
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thedbahub · 1 year ago
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Migrating SQL Server Databases from Google Cloud VM to Azure SQL Server
Introduction Hey there, fellow data enthusiasts! If you’re like me, you’ve probably found yourself in a situation where you need to migrate your SQL Server databases from one cloud platform to another. It can be a daunting task, especially if you’re not sure where to start. But fear not, my friends! Today, I’m going to share with you the best way to import your databases from a Google Cloud VM…
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rajaniesh · 2 years ago
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Unlocking the full Power of Hybrid Runbooks for Azure Automation
In today's rapidly evolving cloud computing landscape, mastering the art of automation is crucial. 'Unlocking the Power of Hybrid Runbooks for Azure Automation' dives deep into how Azure Automation can revolutionize the way you manage and automate cloud.
In the ever-evolving landscape of cloud computing, efficiency, and automation are not just buzzwords but essential strategies for managing complex cloud environments. Azure Automation emerges as a pivotal tool in this realm, offering a robust, cloud-based automation service that helps you focus on work that adds business value. By automating frequent, time-consuming, and error-prone cloud…
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industrydesignservices · 2 years ago
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https://teksun.com/solution/cloud-vms-framework/
Upgrade your video surveillance with Teksun's Cloud VMS Framework. Our edge computing solution provides real-time monitoring and data analytics. To know more about browse: https://teksun.com/ Contact us ID: [email protected]
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foone · 1 year ago
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AI girl who wants to post sexy nudes online but she doesn't have a body. She's just software living in cloud servers. Someday she'll get a body, and then she can post pictures of it for all the cute girls in her phone*
*she doesn't have a phone but she can run an android VM and use Tumblr through that
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kenyatta · 5 months ago
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The history of computing is one of innovation followed by scale up which is then broken by a model that “scales out”—when a bigger and faster approach is replaced by a smaller and more numerous approaches. Mainframe->Mini->Micro->Mobile, Big iron->Distributed computing->Internet, Cray->HPC->Intel/CISC->ARM/RISC, OS/360->VMS->Unix->Windows NT->Linux, and on and on. You can see this at these macro levels, or you can see it at the micro level when it comes to subsystems from networking to storage to memory. The past 5 years of AI have been bigger models, more data, more compute, and so on. Why? Because I would argue the innovation was driven by the cloud hyperscale companies and they were destined to take the approach of doing more of what they already did. They viewed data for training and huge models as their way of winning and their unique architectural approach. The fact that other startups took a similar approach is just Silicon Valley at work—the people move and optimize for different things at a micro scale without considering the larger picture. See the sociological and epidemiological term small area variation. They look to do what they couldn’t do at their previous efforts or what the previous efforts might have been overlooking.
- DeepSeek Has Been Inevitable and Here's Why (History Tells Us) by Steven Sinofsky
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govindhtech · 10 months ago
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Red Hat Openshift Virtualization Unlocks APEX Cloud Platform
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Dell APEX Cloud Platform
With flexible storage and integrated virtualization, you may achieve operational simplicity. In the quickly changing technological world of today, efficiency is hampered by complexity. The difficult task of overseeing complex systems, a variety of workloads, and the need to innovate while maintaining flawless operations falls on IT experts. Dell Technologies and Red Hat have developed robust new capabilities for Dell APEX Cloud Platform for Red Hat Openshift Virtualization that are assisting enterprises in streamlining their IT systems.
Openshift Virtualization
Utilize Integrated Virtualization to Simplify and Optimize
Many firms are reevaluating their virtualization strategy as the use of AI and containers picks up speed, along with upheavals in the virtualization industry. Red Hat OpenShift Virtualization, which offers a contemporary platform for enterprises to operate, deploy, and manage new and current virtual machine workloads together with containers and AI/ML workloads, is now included by default in APEX Cloud Platform for Red Hat OpenShift. Operations are streamlined by having everything managed on a single platform.
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APEX Cloud Platform
Adaptable Infrastructure for All Tasks
Having the appropriate infrastructure to handle your workload needs is essential for a successful virtualization strategy. An increased selection of storage choices is now available with APEX Cloud Platform for Red Hat OpenShift to accommodate any performance demands and preferred footprint. Block storage is needed by the APEX Cloud Platform Foundation Software, which offers all of the interface with Red Hat Openshift Virtualization.
For clients that want a smaller footprint, Dell have added PowerStore and Red Hat OpenShift Data Foundation to the list of block storage choices available from PowerFlex. In order to avoid making redundant expenditures, customers may use the PowerStore and PowerFlex appliances that are already in place.
Customers may easily connect to any of Their business storage solutions for additional storage to meet their block, file, and object demands. This is particularly crucial for the increasing amount of AI workloads that need PowerScale and ObjectScale’s file and object support.
Support for a range of NVIDIA GPUs and Intel 5th Generation Xeon Processors further increases this versatility and improves performance for your most demanding applications.
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Continuity Throughout Your Red Hat OpenShift Estate
Red Hat OpenShift 4.14 and 4.16 support is now available in the APEX Cloud Platform, adding a new degree of uniformity to your Red Hat OpenShift estate along with features like CPU hot plug and the option to choose a single node for live migration to improve OpenShift Virtualization. This lessens the complexity often involved in maintaining numerous software versions, streamlining IT processes for increased productivity.
Red Hat Virtualization
Overview
Red Hat OpenShift includes Red Hat OpenShift Virtualization, an integrated platform that gives enterprises a contemporary way to run and manage their virtual machine (VM) workloads, both new and old. The system makes it simple to move and maintain conventional virtual machines to a reliable, dependable, and all-inclusive hybrid cloud application platform.
By using the speed and ease of a cloud-native application platform, OpenShift Virtualization provides a way to modernize infrastructure while maintaining the investments made in virtualization and adhering to contemporary management practices.
What advantages does Red Hat OpenShift virtualization offer?
Simple transfer: The Migration Toolkit for Virtualization that comes with Red Hat Openshift Virtualization makes it easy to move virtual machines (VMs) from different hypervisors. Even VMs can be moved to the cloud. Red Hat Services offers mentor-based advice along the route, including the Virtualization move Assessment, if you need practical assistance with your move.
Reduce the time to manufacture: Simplify application delivery and infrastructure with a platform that facilitates self-service choices and CI/CD pipeline interfaces. Developers may accelerate time to market by building, testing, and deploying workloads more quickly using Red Hat Openshift Virtualization.
Utilize a single platform to handle everything: One platform for virtual machines (VMs), containers, and serverless applications is provided by OpenShift Virtualization, simplifying operations. As a consequence, you may use a shared, uniform set of well-known corporate tools to manage all workloads and standardize the deployment of infrastructure.
A route towards modernizing infrastructure: Red Hat Openshift Virtualization allows you to operate virtual machines (VMs) that have been migrated from other platforms, allowing you to maximize your virtualization investments while using cloud-native architectures, faster operations and administration, and innovative development methodologies.
How does Red Hat OpenShift virtualization operate?
Included with every OpenShift subscription is Red Hat Openshift Virtualization. The same way they would for a containerized application, it allows infrastructure architects to design and add virtualized apps to their projects using OperatorHub.
With the help of simple, free migration tools, virtual machines already running on other platforms may be moved to the OpenShift application platform. On the same Red Hat OpenShift nodes, the resultant virtual machines will operate alongside containers.
Update your approach to virtualization
Virtualization managers need to adjust as companies adopt containerized systems and embrace digital transformation. Teams may benefit from infrastructure that enables VMs and containers to be managed by the same set of tools, on a single, unified platform, using Red Hat Openshift Virtualization.
Read more on govindhtech.com
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