Dedicated Cloud Server Hosting

Dedicated Servers are commonly used when a business prefers to deploy the infrastructure management tools themselves or when their applications require direct access to the hardware. Theseservers are isolated and used solely by a single organization.

Dedicated Servers give businesses full access to the physical hardware but demand significantly more administrative effort. Dedicated Cloud provides a similar level of isolation and control over the resources while providing a powerful and flexible control panel, and requiring way less management overhead.

Public cloud is the modern way of using IT server infrastructure. Instead of configuring servers from scratch and maintaining them individually, public cloud offers a virtualized environment where workloads can be deployed in seconds with a few clicks in the interface or API. 

Also, instead of paying for the whole server, including any unutilized resources, in a public cloud you only pay for what you use. 

Internally, it’s a large array of hundreds of servers connected together in a cluster with redundant storage and compute. Contrary to individual servers, a cluster is highly available, meaning that no hardware failures will bring your workloads down as in case of any issues, secondary or tertiary layers take over and provide 100% availability. 

Public cloud is a great choice for most business cases: from running your own applications to reselling it with value-add services.

Public Cloud and Dedicated Cloud both provide organizations with fully isolated and secure cloud environments and the same high-quality service. The difference is in the billing models. While Public Cloud uses Pay-As-You-Go model where companies are charged for hourly consumption, Dedicated Cloud offers a flat fee for a set amount of compute, storage, and networking resources.

There are many reliable ways to migrate your data and workloads to the cloud. At Sharktech, we use a multitude of tools depending on the business case and downtime tolerance.

Some clients are OK with an overnight maintenance window; some would rather pay a premium for a live migration with zero downtime. Talk to us if you’d like to find out what option will be optimal for your business case.

Data transfer cost is a big concern for many because it often becomes one of the largest portions of the monthly bill. The common practice by cloud service providers is to charge for ingress and egress (incoming and outgoing traffic) with egress costs being much more expensive. 

This tactic often makes it prohibitively expensive for clients to take their data out of the cloud and, essentially, locks them in. But even if ingress/egress volumes are equal, spikes in traffic can increase the monthly bill well beyond what was expected. 

We believe that the best way to address these concerns is with simplicity and transparency. Sharktech does not bill for ingress traffic at all, and our egress costs are a fraction of what big cloud companies charge. This way, we make it easy to predict future expenses and we do not impose prohibitive costs on our clients, enabling them to truly be in control of their data and not locking them in.

Public cloud is a large pool of virtualized resources that multiple companies draw from. In other words, it’s a shared environment where companies run their workloads. 

Private cloud offers the same experience in terms of the user interface and virtualization, but it’s an exclusive and completely isolated cluster of servers serving the needs of only one company. 

Private cloud is well suited for larger companies and enterprises with higher resource consumption. Also, a great choice for organizations adhering to specific security regulations that require complete isolation.

Bare metal dedicated servers are a solid infrastructure workhorse that has been relied on for decades. It allows direct access to the hardware that may be important for some specific types of workloads. However, it requires time and expertise to configure. Setting up multiple servers and networks between them can take a lot of effort. If redundancy is required, it has to be configured manually as well.

Cloud is a virtualized environment and it does not offer direct access to the hardware. However, it is often much simpler to work with since cloud platforms allow deploying VMs, networks, VPNs, routes, etc., very easily via the interface. 

Additional convenience comes from the cloud’s scalability as it provides access to unlimited resources that can be consumed on demand. One of the bigger cloud advantages is reliability provided by redundancies built into the system. If there’s no specific need to access bare metal and configure everything from scratch, cloud is often a better choice.

NVMe is the fastest cloud storage option, offering low latency and high throughput—ideal for databases, AI workloads, and high-performance applications. However, NVMe is also the most expensive as the performance comes at a cost. 

SSDs provide a good balance of speed and cost for general-purpose use. HDDs are slower but more affordable, making them suitable for large archives and backup storage. The right choice depends on your performance needs and budget.

AWS and other hyperscalers, such as Google and Azure, are known to be quite costly. It’s not a massive problem with big companies, but it can be detrimental to small and medium enterprises. At Sharktech, we guarantee very high quality and at least 40% cost savings compared to hyperscalers.

Dedicated Cloud provides a fixed amount of compute, storage, and networking resources for a flat fee. It is not possible to exceed the resource limits with Dedicated Cloud.

In our service portal, you have the ability to prepay, upgrade, or downgrade your service.

All our compute and storage nodes have a redundant multi-40G connection.

Yes. You can check our Cloud knowledge base articles here.

You can upload your own images from the system directly.

Our systems use OpenStack technology.

As many as you want, there is no limit on the number of virtual machines or how you provision the resources allocated to you. For as long as you have sufficient compute, storage, and networking resources, you can create virtual networks and virtual machines without any limit.