The impact of instance type on cost is mainly reflected in the following aspects:
Balance of performance and price: Different instance types will have different prices depending on their performance characteristics and design purpose. For example, in-memory instances provide a large amount of memory resources and are suitable for memory-intensive applications, while compute instances provide powerful CPU performance and are suitable for compute-intensive applications. Typically, more powerful instance types, such as computational instances, are relatively costly.
Optimal utilization of resources: Choosing the right instance type can optimize resource utilization and reduce costs. For example, for applications that require a lot of memory, it may be more economical to use in-memory instances than compute instances because in-memory instances provide more memory resources without paying for additional CPU performance.
Long-term cost savings: Certain instance types, such as the reserved instance of Amazon EC2, allow users to reserve capacity in advance, resulting in lower hourly rates that can significantly reduce costs by up to 72% compared to on-demand instances.
Predictability of cost management: The use of reservation instances can bring stability and predictability to cost management, which is very important for business budget planning.
Flexible billing: Some instance types, such as AWS Spot instances, offer flexible billing that pays only for the time you use them, with no capacity reservations or prepayments, which helps avoid waste from overbuying and can lead to significant cost savings.
Operation and maintenance costs: Virtualization technology can greatly reduce the IT expenditure of enterprises, including capital expenditure, daily fixed expenditure, and operation and maintenance manpower expenditure.
Cost optimization strategies: Cloud service providers usually provide a variety of cost optimization strategies and services, such as preemptive instances and reserved instance vouchers, which users can use to reduce operation and maintenance costs.
To sum up, the choice of instance type has a direct impact on the cost, and users should choose the most appropriate instance type according to their own business needs and budgets to maximize the cost benefit.
Balance of performance and price: Different instance types will have different prices depending on their performance characteristics and design purpose. For example, in-memory instances provide a large amount of memory resources and are suitable for memory-intensive applications, while compute instances provide powerful CPU performance and are suitable for compute-intensive applications. Typically, more powerful instance types, such as computational instances, are relatively costly.
Optimal utilization of resources: Choosing the right instance type can optimize resource utilization and reduce costs. For example, for applications that require a lot of memory, it may be more economical to use in-memory instances than compute instances because in-memory instances provide more memory resources without paying for additional CPU performance.
Long-term cost savings: Certain instance types, such as the reserved instance of Amazon EC2, allow users to reserve capacity in advance, resulting in lower hourly rates that can significantly reduce costs by up to 72% compared to on-demand instances.
Predictability of cost management: The use of reservation instances can bring stability and predictability to cost management, which is very important for business budget planning.
Flexible billing: Some instance types, such as AWS Spot instances, offer flexible billing that pays only for the time you use them, with no capacity reservations or prepayments, which helps avoid waste from overbuying and can lead to significant cost savings.
Operation and maintenance costs: Virtualization technology can greatly reduce the IT expenditure of enterprises, including capital expenditure, daily fixed expenditure, and operation and maintenance manpower expenditure.
Cost optimization strategies: Cloud service providers usually provide a variety of cost optimization strategies and services, such as preemptive instances and reserved instance vouchers, which users can use to reduce operation and maintenance costs.
To sum up, the choice of instance type has a direct impact on the cost, and users should choose the most appropriate instance type according to their own business needs and budgets to maximize the cost benefit.
