For cost optimization cloud with high storage requirements, you can save money by using tiered storage. Major public cloud providers offer different classes of storage.
Detailed information about storage classes can be found on the websites of service providers. Specific features differ depending on the cloud used, but in any case, the cost of cloud storage can be reduced by placing data in cold or archive storage. Such storages are available at a lower price.
The disadvantage of this approach is that accessing data hosted in cheaper storage takes longer than with a standard service. This means that low-cost storage can be too slow for workloads that require fast and persistent data retrieval.
However, for tasks such as archiving and backup, which usually do not require frequent access to data, low-cost cloud storage is a great opportunity to reduce the cost of cloud computing.
Choosing the Right Cloud Services
Virtual server and data storage is the most common type of “cloud” service. However, devops service provider offer many other options, such as the AWS Fargate solution for running applications inside containers, Microsoft Azure Blockchain Workbench, or Google Cloud cloud features.
Depending on how your application works, you may be able to achieve the performance you want at a lower cost by deploying your application using a service other than the standard “cloud” instances that use a virtual server. For example, if an application consumes a large amount of computing resources on an unpredictable and intermittent basis, then a serverless computing platform might be a better option for deploying it.
A serverless platform saves money because you typically only pay for the compute time your application actually uses.
Conversely, with a traditional virtual server, you pay for as long as the instance is up and running, whether or not it performs actual activity. In addition, serverless computing can even improve security.
Choosing the right cloud service for a particular workload is beyond the scope of this article, but the bottom line is that you can save money by going beyond the basic options that use a virtual server.
The task of achieving maximum cost optimization for cloud computing is partly solved by a multi-cloud architecture. Of course, the use of several clouds increases the labor costs associated with configuration and maintenance, however, the overall costs of cloud computing can be significantly reduced, since the deployment of various services in different “clouds” allows you to achieve the perfect balance between cost and performance.
Using two “clouds” at the same time, you can achieve the best results in terms of cost optimization. Keep in mind that there are limits to the extent to which you can integrate cloud services from different vendors.
However, for siled workloads, a cost-effective “multi-cloud” strategy is technically easy to implement.