Cloud computing has transformed the way in which most businesses function today. From serving as an endless expanse of virtual servers that you get access to over the internet, cloud computing has paved the way for modern computing to seamlessly function. A service function can work in various combinations to serve a wide number of applications.
The virtualisation of systems through IaaS models has helped countless organisations spend wisely towards infrastructure without having to block an enormous chunk of their capital over physical investments. With real-time scalability as per demand, these services also let you pay as you use.
Cloud computing services are a boon for businesses that are looking for speed, stability, high quality and reliability with virtual servers. However, for organisations that rely heavily, even entirely on virtual processors to meet high data turnaround demands, the more pertinent question is - which category of virtual processors is best suited for them? Following is a rundown on E2E's top categories of Cloud servers, and a guide to choosing the right one for your organisation.
A company's resource requirements for their applications determine the nature of the workload, and subsequently, the type of virtual machine that brings maximum efficiency.
1. High Memory Series/ M Series
Typically, workloads that have large databases or memory caches require larger memories for storing the high volume of data. Applications like these with memory-intensive load, i.e. ones that process large data sets in memory, require memory-optimized processors. Typically, memory forms almost ⅔ of the load utilized out of the total resources for such applications. E2E's second-generation M series computing plans are meant for efficiently running applications that are memory intensive. The M series is the perfect fit for your organisation if -
- Your application requires sufficient RAM for it to run smoothly, without crashing, or
- Your application has a high-performance SQL database or NoSQL database, or
- Your application is mission-critical, or
- Your application must process big data in real-time.
The above list is not exhaustive, but lays out a broad outline of workloads that get covered under the ambit of "memory intensive". The M series will help you avoid running out of memory and increase the performance and stability of your application.
2. CPU Intensive Computing C2 Series
With maximum load utilisation coming out of dependability on the CPU, your application needs a processor that provides consistent performance at all times. The CPU intensive C2 series typically provides an optimal memory to CPU ratio for applications that demand a fast, highly reliable and consistent vCPU, and can do away with the additional memory served by the M series processors. Some of the applications requiring C2 plans include -
- Machine learning
- Video encoding
- Batch processing
- Ad serving
3. Smart Dedicated Compute/ SDC Series
For some applications, the purpose of a dedicated compute is to optimize the overall benefits of opting for an exclusive CPU rather than a shared one. With the Smart Dedicated Compute, what your application gets is -
- Reliability of performance with dedicated pinned cores to a customer
- On-demand launching, managing and terminating of machines, round the clock,
- One-click automated and continuous backups,
- Highly responsive API interface,
- Privacy, security, agility
- all of which convert into optimized, high-performance applications.
4. D Series Large Disk Cloud
Applications that are disk intensive - i.e. ones that require a lot of backend storage, as well as process large amounts of data on the go require servers that optimize output for this type of function. E2E's servers come with large disk space for storage-intensive applications. Disk intensive plans come with low latency access and good I/O operations per second (IOPS), typically suited for -
- Data processing and MPP applications,
- Data-intensive workloads such as MapReduce and distributed file systems,
- Applications that need access to large amounts of data,
- Applications that need high-throughput access to large quantities of data.
The optimum utilisation of your organisation's spend on virtual machines depends largely on choosing the right category of series. It is important to identify your application workload's focal requirement to be able to choose the right virtual machine and plans.
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