Key differences between cloud computing and dedicated server
There is still a vision blurred a bit for most people when it comes to cloud computing and dedicated server, as many think they are the same thing, i.e. contracted servers to host applications outside of the company. Therefore, we recommend that you read this article to understand the definition of the models available on the market.
Before going to the main subject of the post, we would like to clarify the definitions of the criteria that we use to differentiate cloud computing dedicated server:
- Scalability: ease of climbing (to increase) resources such as memory, CPU, disk space, and the like.
- Replication and recovery: ease to restore backups and snapshots.
- Performance: application performance according to memory, CPU, disk space, etc.
- Availability: Availability of services for users.
Differences between cloud computing and dedicated server
Cloud Computing: vertical scale: cloud instances run on large groups of computer resources, and this causes the increase of computing resources, among other features, the hardware is almost instantaneous and with a simple reboot.
Horizontal scale: refers to the multiple instances within the same cloud configuration that meets large groups of users in various locations. Typically, this is done using load balancing and clustering.
Dedicated server: vertical scale: dedicated servers work with predefined hardware specs. To scale these features, you need time with the system out of operation. Even to reduce resources, this period of unavailability is necessary.
Horizontal scale: is similar to cloud computing – also demand to balance and clustering – and may offer more complexity for settings and data migration.
Replication and recovery
Cloud Computing: it takes a little time to recover from a backup or snapshot in the same instance. Multiple instances can be created for high-availability, in the short term, without affecting the primary case.
Dedicated server: the operating system and other applications need to be reinstalled and restored. Replication consumes time during installation and migration of data and applications.
Cloud Computing: Using the same resources and hardware, a cloud server can introduce latency in data traffic (i/o). The high usage of the database can submit drop in performance. Ideally, in this case, is that hiring resources follow the growth in consumption for that performance is maintained.
Dedicated server: intensive for databases and applications, which demand a lot of hardware, you can display superior performance on dedicated servers.
Cloud Computing: Cloud computing is far superior to the dedicated server regarding availability and replication. As the resource group is great, and the replication snapshots are fast, the cloud is the best solution for applications that require high availability.
Dedicated server: a single node can be a disastrous failure on a dedicated server. In this case, it is necessary to add more expensive solutions, like load balancing and clustering for greater availability.
Cloud Computing: the collection of services is flexible and fluctuates according to consumption and increase/decrease of resources. As replication also features low cost, makes the solution is the most affordable and stable.
Dedicated server: the cost of the hardware is high and uniform, which can make the company pay more for idle resources.
Conclusion: are solutions to meet different needs and different times of businesses, and cloud computing is more suitable, for example, to host a more critical application thanks to its high availability.