Cloud Compute
Today’s IT teams require flexibility and control, and with Tirzok, they gain direct root-level access to their own private cloud. This advanced model goes beyond what public clouds can offer, providing a tailored environment where teams can fully customize their virtual machines. Whether it’s modifying VM settings, creating unique VM flavors, configuring default parameters, or fine-tuning CPU to vCPU ratios
Key Features of Our Cloud Compute
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Adjust your CPU and RAM to vCPU and vRAM ratios based on your needs. Public cloud resources are often underused, yet pricing stays constant.
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KVM serves as the default hypervisor, widely regarded as the industry’s go-to type 1 hypervisor. However, OpenStack offers the flexibility to integrate with a variety of other hypervisors, accommodating diverse virtualization needs.
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Preconfigured resource flavors and common VM images (OSs) are available by default. However, you can easily customize the setup by creating your own flavors and images or removing any that aren’t needed.
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Built-in automation tools and APIs for seamless deployment, monitoring, and management of applications across various environments.
Forge Your Private Cloud Core
Play with the scale of vCPU and vRAM using your own infrastructure resources to meet your unique business requirements, Leverage preloaded configurations for rapid instance deployment, allowing you to start operations with minimal setup time. Efficiently manage your workloads to maximize performance, improve resource utilization, and ensure your cloud environment operates smoothly and optimally.
Strategy to Compute
vCPU allocation :
For computing, determine how many virtual CPUs (vCPUs) are needed based on the application's requirements and the expected workload. Use benchmarks to estimate the computing capacity for each instance. This can include measuring transactions per second (TPS) or similar metrics relevant to your application.
vRAM Allocation :
Allocate memory based on the application's requirements, including the base memory needed for the OS and any additional memory required for applications. The standard guideline is to allocate 4 GB of vRAM for every vCPU, but this may vary based on specific application demands.
If you know your workloads are either CPU or RAM-dominant and don’t match the typical ratios, you may need to calculate your capacity needs manually.
Live Migration with Zero Downtime
With live migration, your private cloud enables virtual machines (VMs) to be moved between physical hosts seamlessly, without any service interruption. This feature is essential for:
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Maintenance: Perform routine hardware or software maintenance without affecting active workloads, ensuring uninterrupted operations.
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Load Balancing: Automatically distribute workloads across servers to optimize resource usage, improving system performance and efficiency.
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Disaster Recovery: In the event of hardware failure or unexpected issues, critical workloads can be migrated to another host, maintaining business continuity.
This ensures that your infrastructure remains flexible and resilient, minimizing downtime and maintaining productivity.
Peak Resource Performance
In an on-premises private cloud, resource overcommitment allows you to allocate more virtual CPUs (vCPUs) and virtual RAM (vRAM) than physically available, optimizing your hardware usage. This provides:
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Cost Efficiency: Maximize the use of existing hardware without the need for constant upgrades, reducing overall costs.
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Flexible Workload Management: By overcommitting resources, you can handle varying workloads more efficiently without compromising performance in typical use cases.
This approach helps you scale up efficiently while minimizing hardware investment and ensuring your cloud infrastructure is cost-effective.
Superior Computing for any workload
Tirzok is committed to delivering exceptional computing capabilities tailored to meet diverse workload demands with reliability and versatility.
Load Balancers
Utilize load balancers to scale and provide redundancy to your virtual machines quickly and easily.
Container Management
Create private networks for virtual machines that need to communicate internally but don’t need to be accessed from the internet.
Dynamic Placement
Restrict communication between virtual machines on your private and public networks easily.
Private Networks
Assign public IP addresses and manage access to virtual machines that should be accessible from the public internet.
Experience the Future with Tirzok Private Cloud
Deploy Your Private Cloud
Provision OpenStack private clouds on demand, with new VMs live in no time.
Test Drive/Proof of Concept
Bring Your Ideas to Life – Test Drive OpenStack with a Proof of Concept
Need Help?
Consult with the Tirzok cloud team to receive a tailored assessment of your infrastructure needs.
Tirzok Cloud Compute FAQs
What are vCPUs and vRAM in cloud computing?
vCPU (virtual CPU) and vRAM (virtual RAM) are virtualized versions of physical CPU and RAM, providing computing power and memory to virtual machines (VMs) in a cloud environment.
How is cloud compute different from traditional servers?
Cloud compute provides on-demand resources, scalability, and flexibility, whereas traditional servers require upfront hardware investment and offer less flexibility in scaling resources.
Can I run my applications in the cloud using vCPU and vRAM?
Yes, cloud compute allows you to run a wide variety of applications using vCPU and vRAM resources, ranging from web servers and databases to enterprise applications and development environments.
Which OpenStack component provides cloud compute services?
Nova is responsible for managing and provisioning virtual machines (VMs) in an OpenStack cloud environment.
How does live migration work in cloud compute?
Live migration enables you to move virtual machines between physical hosts without any downtime. This allows for system maintenance or load balancing without disrupting ongoing workloads.
What kind of workloads can I run on cloud compute?
Cloud compute supports a wide range of workloads, from web applications and databases to data processing, machine learning, and high-performance computing (HPC).
How does Ceph work with Nova?
Nova uses OpenStack’s Cinder service to manage block storage for virtual machines. Ceph acts as the underlying storage backend for Cinder, offering RADOS Block Devices (RBDs), which are virtualized disks.
More Tirzok's Additional Service
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