#virtualmachines

[sparrowhousebooks]

In the heart of the futuristic city of Silverfield, chaos erupts when Phoenix Aviation, a covert military weapons manufacturer posing as an aviation firm, becomes the target of a crippling cyber attack. The mysterious hacker, known only as Sentinel, launches a relentless assault, threatening to unravel the city's digital infrastructure and plunge Metropolis into darkness.

Jason, an unassuming auto mechanic with a unique skill set, finds himself thrust into a high-stakes cyber war. With his deep knowledge of automotive electronics and an uncanny ability to solve problems under pressure, Jason is recruited by NexTech Innovations to help track down and stop the elusive hacker. But the deeper Jason dives into the digital underworld, the more he uncovers about Sentinel and himself.

As cyber attacks escalate, Jason must navigate treacherous digital landscapes, face shadowy enemies, and confront his own past in a race against time to protect the city he loves. With each revelation, Jason edges closer to the truth, but the ultimate price of victory may be more than he's willing to pay.

In this electrifying tech thriller, A Mechanics Code blends gripping action, cyber warfare, and unexpected twists. Jason’s journey from a garage mechanic to a city’s last line of defense is a heart-pounding ride that will leave you questioning the fine line between hero and villain, reality and illusion.

https://www.amazon.com/dp/B0DJ3D26JW

[govindhtech]

Google Cloud C4D machine series Compute with AMD Turin

Confidentiality VMs running AMD SEV on C4D machines preview

Google Titanium hardware gives the C4D machine series excellent, reliable, and consistent performance with 5th-generation AMD EPYC (Turin) CPUs.

Google Cloud offers Confidential Compute on AMD N2D, C2D, and C3D machines worldwide. The general-purpose C4D machine series' confidential virtual machines (VMs) with AMD Secure Encrypted Virtualisation (AMD SEV) technology are in preview today and will soon be released.

C4D virtual machines use Titanium and fifth-generation AMD EPYC Turin processors. C4D outperforms C3D by 30% on the anticipated SPECrate2017_int_base benchmark, growing performance with fewer resources and maximising expenditures.

C4D supports web, app, and game servers, AI inference, web serving, video streaming, analytics, and relational and in-memory databases.

C4D can execute 38% more Memorystore for Redis operations and 56% more Cloud SQL for MySQL queries than C3D due to its higher core frequency (up to 4.1 GHz) and improved IPC.

With C4D, AMD EPYC Turin may boost web-serving throughput per vCPU by 80% and enhance branch prediction and L3-cache efficiency.

Features of C4D machines

The C4D machine series has these traits:

Titanium and AMD EPYC Turin power it.

Supports 384 virtual CPUs and 3,024 GB DDR5.

Local Titanium SSDs up to 12,000 GiB are supported.

Preconfigured machines with 2–384 virtual central chips are available.

Future bookings, Spot VMs, and on-demand consumption are supported.

Allows conventional network setup with 100 Gbps bandwidth.

Supports Tier 1 VM networking at 200 Gbps.

For HyperDisk volumes only.

Confidential Virtual Machine AMD SEV support Flexible, resource-based committed use discounts

Supports compact and distributed placement policies.

C4D machine series types

Regular, high-cpu, and high-mem C4D virtual machines have predefined configurations from 2 to 384 vCPUs and up to 3,024 GB of memory.

Build your instance with the C4D machine type -lssd option to use Titanium SSD. Selecting this machine type creates a Titanium SSD-partitioned instance of the required size. Different Titanium SSD volumes cannot be joined.

Custom machines are incompatible with C4D.

Supported C4D VM disc types

It supports only NVMe disc interface and Hyperdisk block storage:

Hyperdisk-steady

Hyperdisk Extreme

Certain system types automatically receive local titanium SSD with the -lssd option.

Persistent Disc is incompatible with C4D.

Disc and capacity limits

A virtual machine (VM) can use a variety of hyperdisks, but their total disc capacity (in TiB) cannot exceed:

For systems under 32 vCPUs, all hyperdisks have 257 TiB.

Different computers with 32 vCPUs or 512 TiB for the hyperdisk

Networking C4D machines

Network interfaces for C4D virtual machines must be gVNIC. C4D can handle 100 Gbps for regular networking and 200 Gbps for per-VM Tier_1 networking.

Make sure your operating system image supports the gVNIC driver before switching to C4D or starting instances. Choose an OS image with “Tier_1 Networking” and “200 Gbps network bandwidth” on the Networking features tab of the OS information table for optimum C4D performance. Although the guest OS lists gve driver version as 1.0.0, these images upgrade the gVNIC driver. If your C4D instance runs an operating system with an outdated gVNIC driver, it may have greater latency or less network bandwidth than it should.

Custom OS images for the C4D machine series allow manual installation of the newest gVNIC driver. C4D instances should use gVNIC driver v1.3.0 or later. Google recommends using the latest gVNIC driver for new features and bug fixes.

[jpmellojr]

Boost VM security: 8 key strategies

Boost your VM security! Learn 8 key strategies to protect your virtual environments from evolving threats. https://jpmellojr.blogspot.com/2025/05/boost-vm-security-8-key-strategies.html #VMsecurity #VirtualMachines #GoldenImage

[gsoftcloud]

Deploying applications to VMs demands a streamlined approach. You need to consider several factors and follow pre-defined procedures to get the best results. Check out this blog penned by our Chief Cloud Officer, Sibin Vincent, where he outlines the key steps to consider before deploying applications to VMs.

#virtualMachines #deploymenttips #itinfrastructure #cloudcomputing #techsolutions #systemadmin #itbestpractices #virtualizationstrategy #datacentermanagement #digitaltransformation

[ojeshagarwal]

Explore the world of cloud hosting with Digital Ocean: Droplets, Kubernetes, and more, brought to you by Coupon Stopper. Dive into the versatility and scalability of Digital Ocean's cloud infrastructure, including Droplets for reliable virtual machines and Kubernetes for seamless container orchestration. Learn how Digital Ocean empowers developers and businesses with flexible solutions tailored to their unique needs. From deploying web applications to managing data workloads, Coupon Stopper's guide covers everything you need to know about leveraging Digital Ocean's cloud services effectively. Stay ahead in the digital landscape with Digital Ocean and Coupon Stopper.

[dclessonsonline]

Unlocking the power of seamless integration with VMware is a pivotal step in advancing your IT skills and staying at the forefront of the technology landscape. In the dynamic world of IT, virtualization technologies are the cornerstone of modern data centers, and proficiency in integrating with VMware is an invaluable asset. https://www.dclessons.com/integrating-with-vmware

[industrydesignservices]

Upgrade your video surveillance with Teksun's Cloud VMS Framework. Our edge computing solution provides real-time monitoring and data analytics.

[cln47]

DAILY - Nines Number 118 Sampling_composition_146_colour_09, Clemens Niewoehner (CLN47) Sampling compositions are colouring collages of recurring geometric elements

[thetechijack]

How to Delete Hyper-V Saved-Critical State VM | | Fix Stuck Virtual Machine

[manmishra]

How to Set Up an Azure Server: Step-by-Step Guide for Beginners

You can set up an Azure server with a focus on programming and scripting. Use Azure PowerShell and Azure CLI to achieve this. Below are detailed steps, along with code snippets for creating a Virtual Machine (VM) and configuring various settings.

You can set up an Azure server with a focus on programming and scripting. Use Azure PowerShell and Azure CLI to achieve this. Below are detailed steps, along with code snippets for creating a Virtual Machine (VM) and configuring various settings. Setting Up an Azure Virtual Machine Prerequisites An active Azure subscription. Azure PowerShell or Azure CLI installed on your local…

[enterprisechronicles]

Virtualization Technologies: Transforming IT Landscapes

https://enterprisechronicles.com/wp-content/uploads/2024/11/39-Virtualization-Technologies_-Transforming-IT-Landscapes-Image-by-anyaberkut-from-Getty-Images.jpg

Source: anyaberkut from Getty Images

In the ever-evolving world of information technology, virtualization technologies have emerged as a cornerstone for businesses looking to enhance efficiency, reduce costs, and increase flexibility. By allowing multiple virtual instances of hardware or software to run on a single physical machine, virtualization has revolutionized how organizations manage resources and applications. This article delves into the various aspects of virtualization technologies, exploring their types, benefits, and best practices for implementation.

Understanding Virtualization Technologies

At its core, virtualization refers to the creation of a virtual version of physical resources, such as servers, storage devices, and networks. This technology enables organizations to maximize their hardware investments by allowing them to run multiple operating systems and applications on a single physical server. There are several types of virtualization machinery, including server virtualization, storage virtualization, desktop virtualization, and network virtualization.

Server Virtualization: This is perhaps the most common type of virtualization technology. It allows multiple virtual servers to run on a single physical server, each isolated from the others. This approach optimizes resource utilization and improves disaster recovery capabilities.

Storage Virtualization: This technology abstracts the physical storage devices, presenting them as a unified storage pool. By doing so, organizations can manage their storage resources more efficiently, leading to better performance and easier data management.

Desktop Virtualization: Also known as Virtual Desktop Infrastructure (VDI), this technology allows users to access their desktops remotely from any device. It simplifies desktop management and provides a consistent user experience, regardless of the device being used.

Network Virtualization: This technology involves creating a virtual version of the network, allowing multiple virtual networks to run on the same physical infrastructure. It enhances network management and security, enabling organizations to respond swiftly to changes in demand.

Benefits of Virtualization Technologies

The adoption of virtualization technologies offers numerous benefits that can significantly impact an organization’s operations. Here are some of the key advantages:

1. Cost Savings

One of the most compelling reasons to adopt Virtualization machinery is the potential for substantial cost savings. By consolidating physical servers, organizations can reduce hardware costs, power consumption, and cooling requirements. This consolidation leads to a more efficient use of resources and allows IT teams to focus on strategic initiatives rather than routine maintenance.

2. Improved Resource Utilization

Virtualization technologies allow organizations to make better use of their existing hardware. By running multiple virtual machines on a single physical server, organizations can ensure that resources are allocated efficiently. This optimized resource utilization can lead to improved performance and a better return on investment.

3. Enhanced Flexibility and Scalability

In today’s fast-paced business environment, flexibility is crucial. Virtualization technologies enable organizations to quickly scale their IT resources to meet changing demands. Whether it’s provisioning new virtual machines or reallocating resources among existing ones, virtualization provides the agility needed to adapt to evolving business requirements.

4. Simplified Disaster Recovery

Disaster recovery is a critical component of any IT strategy. Virtualization machinery simplify this process by allowing organizations to create snapshots of virtual machines and replicate them to offsite locations. In the event of a disaster, restoring services becomes faster and more efficient, minimizing downtime and data loss.

5. Improved Security

With the increasing number of cyber threats, security is a top priority for organizations. Virtualization technologies enhance security by isolating virtual machines from each other. If one virtual machine is compromised, it does not affect the others, thereby protecting sensitive data and applications.

Best Practices for Implementing Virtualization Technologies

While virtualization technologies offer significant advantages, successful implementation requires careful planning and consideration. Here are some best practices to keep in mind:

1. Assess Your Needs

Before diving into virtualization, it’s essential to assess your organization’s specific needs and objectives. Understand the workloads that will be virtualized, the expected growth, and the level of flexibility required. This assessment will help you choose the right Virtualization machinery for your environment.

2. Choose the Right Platform

Selecting the appropriate virtualization platform is critical for success. Consider factors such as compatibility, scalability, and support for various workloads. Leading virtualization platforms include VMware, Microsoft Hyper-V, and Citrix Virtual Apps and Desktops. Evaluate their features and determine which aligns best with your organizational goals.

3. Plan for Resource Allocation

Efficient resource allocation is key to maximizing the benefits of virtualization technologies. Develop a resource allocation plan that considers CPU, memory, and storage requirements for each virtual machine. Monitor resource usage regularly to identify and address potential bottlenecks.

4. Implement Security Measures

Security should be a top priority when implementing Virtualization machinery. Ensure that you have proper security measures in place, such as firewalls, intrusion detection systems, and regular security updates. Educate your team on best practices for securing virtual machines and networks.

5. Regularly Monitor and Optimize

Once virtualization technologies are implemented, it’s crucial to monitor their performance continuously. Use monitoring tools to track resource usage, performance metrics, and potential issues. Regular optimization will help you maintain the efficiency and effectiveness of your virtualized environment.

The Future of Virtualization Technologies

As technology continues to advance, the future of virtualization technologies looks promising. Emerging trends such as containerization and serverless computing are redefining how organizations approach virtualization. Containers, which allow applications to run in isolated environments, offer a lightweight alternative to traditional virtual machines. Meanwhile, serverless computing abstracts infrastructure management, enabling developers to focus solely on coding.

In conclusion, Virtualization machinery have transformed the IT landscape, providing organizations with numerous benefits, including cost savings, improved resource utilization, and enhanced flexibility. By understanding the various types of virtualization and implementing best practices, businesses can leverage this technology to drive efficiency and innovation. As we look to the future, staying informed about emerging trends in virtualization will be essential for organizations aiming to maintain a competitive edge in an increasingly digital world. By embracing virtualization technologies, organizations can position themselves for success in an ever-changing technological landscape.

[robjorg]

Step-by-Step Guide: Installing Windows 11 on Hyper-V Virtual Machine on ...

In this comprehensive guide, you will learn how to install the official Windows 11 operating system on a Hyper-V virtual machine running on Windows 10. The step-by-step instructions provided in this video will make the process easy to follow, even for those new to virtualization. Additionally, this guide also includes tips and tricks to prevent TPM error messages during the installation process, ensuring a smooth and successful installation of Windows 11 on your Hyper-V virtual machine.

[govindhtech]

How GCP Confidential Computing develops trusted AI

How Confidential Computing Builds Trusted AI

GCP Confidential Computing changed enterprise cloud-based sensitive workload management. Google's hardware ecosystem development makes Confidential Computing compatible with privacy-preserving AI and multi-party data analytics, boosting adoption.

Google Cloud unveils its latest Confidential Computing advancements, illustrating how clients protect their most sensitive workloads, including AI.

Newest innovations

A glance at GKE Nodes and private virtual machines with NVIDIA H100 GPUs for AI applications.

A private Vertex AI Workbench preview

An overview of Confidential Space using the widely available NVIDIA H100 and Intel TDX GPUs.

General access, secret GKE Nodes on C3 systems with integrated acceleration and Intel TDX.

On AMD SEV-SNP N2D computers, confidential GKE nodes are available.

Private AMD SEV virtual machines on C4D machines preview

Speed up your Confidential Compute trip with Gemini Cloud Assist's preview.

Confidential Computing New Applications

Businesses using GCP Confidential Computing to unlock commercial breakthroughs affect all major industries.

AiGenomix

AiGenomix uses Google Cloud Confidential Computing to provide unique infectious disease surveillance, early cancer detection, and pharmaceuticals intelligence with a global network of public and private partners.

Google Ads

Google Ads uses confidential matching to link first-party customer data for marketing. Google Ads products are the first to employ confidential computing, and additional companies will follow suit.

Swift

Swift is using GCP Confidential Computing to power a money laundering detection model while protecting the privacy of some of the biggest banks.

Confidential Computing

Confidential VMs, GKE, Dataflow, Dataproc, and Space safeguard data in use.

Encrypt data during processing.

A simple, user-friendly implementation does not sacrifice performance.

Confident collaboration with data ownership

Benefits

A secrecy breakthrough

Confidential Virtual Machines, a breakthrough technology, lets customers secure their cloud data during processing.

Simply understood by all

Google Cloud lets users encrypt data in-app without changing app code or affecting speed.

Creating new possibilities

Confidential Computing opens new doors. Companies can collaborate while protecting data.

GCP Confidential Computing

Secret Computing Platform

Secret VMs

Cloud data can be protected by confidential virtual machines (VMs) encrypting data-in-use during processing. Modern AMD, Intel, and other CPUs have security protections for secret virtual machines. With GCP Confidential Computing, customers can trust their cloud data to remain private.

Google Cloud uses the Intel AMX CPU accelerator on the general-purpose C3 machine class for Confidential VMs for AI/ML applications. Confidential VMs on the C3 machine series secure AI data and models at the hardware level and boost deep learning and inference performance.

Confidential H100 GPU VMs

Companies can use AI and machine learning while securing sensitive data using accelerator-optimized A3 machine series with NVIDIA H100 GPUs' confidential virtual machines (VMs). With H100 GPUs, confidential virtual machines (VMs) protect data from GPU entry to output. This reduces the risk of privileged users or malicious actors gaining unauthorised access. Confidential VMs on the A3 machine line provide a trusted execution environment for AI applications, enabling businesses to collaborate more freely and securely.

Secret GKE Nodes

Confidential GKE Nodes encrypt GKE cluster data while retaining performance. The same technology powers Confidential GKE Nodes and VMs. This functionality lets you encrypt memory with processor-created, node-specific keys. Since the keys are produced in hardware during node formation and only live in the CPU, Google and other host nodes cannot access them.

Private Area

Confidentiality Space protects sensitive data while allowing businesses to aggregate and analyse it. Organisations can perform collaborative data analysis and machine learning (ML) model training with data security from all parties, including cloud service provider access. Confidential Space integration with Privacy Sandbox provides a trusted execution environment for privacy-preserving ad campaign analytics and retargeting post-cookie.

Secret Dataflow and Dataproc

Fully controlled Dataflow supports several machine learning and streaming analytics use cases at scale. Dataflow supports Compute Engine Confidential VMs, which allow inline memory encryption, for data pipelines.

Dataproc manages Spark, Hadoop, and other open source technologies and frameworks for huge data processing. Confidential Dataproc lets you secure inline memory using Compute Engine Confidential virtual machines. This improves security, especially for sensitive data.

All features

Using real-time encryption

Google Cloud users can encrypt data while using cloud services for hidden computing and AMD, Intel, and other CPU security capabilities. Customers may trust that their data will be encrypted while processing.

Elevate and move privately

Google Cloud wants to simplify GCP Confidential Computing. All your workloads—new and old—can run as Confidential VMs, making the transfer easy. You don't need to change app code to use Confidential VMs. Simple as checking one box.

Detecting sophisticated persistent assaults

GCP Confidential Computing enhances Shielded virtual machine rootkit and bootkit protection. This simplifies ensuring the integrity of your private virtual machine's operating system.

Enhanced creativity

GCP Confidential Computing could enable impossible computing scenarios. Cloud-based enterprises can now collaborate on critical data in secrecy.

Great performance

Regular N2D virtual machines function like confidential ones.

GCP Private Computing Cost

Confidential VM costs depend on machine kinds, persistent discs, and other resources.

[gsoftcloud]

Steps to Consider before Deploying Applications to VMs.

Virtual machines, or VMs, are an integral part of the cloud computing landscape.  

With VMs, you can abstract away resources from a physical machine and create an isolated computing environment. You can use this environment to test applications, backing up data, and more.  

However, deploying applications to VMs demands a streamlined approach. You need to consider several factors and follow pre-defined procedures to get the best-intended results. Check out this blog penned by our Chief Cloud Officer, @Sibin Vincent, where he outlines the key steps to consider before deploying applications to VMs.