Veeam Data Platform is a unified data resilience solution that helps organizations recover from cyberattacks and outages, and protect workloads across hybrid and multicloud environments – all without vendor lock-in.
The platform includes built-in security capabilities designed to mitigate ransomware and other data-loss threats, including AI-backed threat detection across a broad range of workload types. This is intended to help teams identify and respond to threats before they disrupt operations.
Veeam Data Platform supports workload portability across hypervisors, cloud providers, and on-premises environments, allowing organizations to move or recover data across infrastructure without being tied to a specific vendor or platform.
For organizations looking to simplify deployment, Veeam Software Appliance provides a pre-built, hardened, and highly available option, reducing the manual setup and maintenance work required from IT teams.
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Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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KVM
KVM, which stands for Kernel-based Virtual Machine, serves as a comprehensive virtualization solution for Linux systems operating on x86 hardware equipped with virtualization capabilities (such as Intel VT or AMD-V). It comprises a loadable kernel module, known as kvm.ko, that underpins the essential virtualization framework, along with a processor-specific module, either kvm-intel.ko or kvm-amd.ko. By utilizing KVM, users can operate several virtual machines that run unaltered Linux or Windows operating systems. Each virtual machine is allocated its own set of virtualized hardware components, including a network interface card, storage, graphics adapter, and more. KVM is an open-source project, with its kernel component integrated into the mainline Linux kernel since version 2.6.20, while the userspace aspect has been incorporated into the mainline QEMU project starting from version 1.3. This integration enables widespread deployment and support for various virtualization applications and services.
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Xvisor
Xvisor® is a type-1 hypervisor that is open-source, designed to deliver a monolithic, lightweight, and adaptable virtualization solution. It boasts a high-performance capability while maintaining a low memory footprint for various CPU architectures, including ARMv5, ARMv6, ARMv7a, ARMv7a-ve, ARMv8a, x86_64, RISC-V, and more. Unlike many other ARM hypervisors, it uniquely supports ARM CPUs lacking virtualization extensions. Furthermore, it stands out as the first Type-1 hypervisor for RISC-V, showcasing its innovative approach. The source code of Xvisor is crafted for portability and can be readily adapted to most 32-bit or 64-bit architectures, provided they are equipped with a paged memory management unit (PMMU) and a compatible GNU C compiler (GCC). Xvisor primarily focuses on full virtualization, allowing it to support a diverse array of unmodified guest operating systems, while paravirtualization is an optional feature that can be implemented in an architecture-independent manner, such as through VirtIO PCI/MMIO devices. This flexibility makes Xvisor a compelling choice for developers looking to implement virtualization across different platforms.
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