Reduce operational expenditures and keep cloud bills under control with SHALB cloud cost optimization services.
Reducing costs on maintenance is among main reasons why companies opt for migrating their workloads to the cloud. When used properly cloud infrastructure can considerably reduce the total cost of ownership (TCO) compared to in-house systems. However, it takes more than simply transferring your applications and datastores to the cloud to achieve the hoped-for cost saving. At SHALB, we help our customers manage their cloud operating expenses by finding the most reasonable solution for distributing their workloads in the cloud.
Public cloud providers offer a wide range of instance types that vary in computing capacity, memory size and network capabilities. With such a variety of options to choose from it is difficult to pick the right instance type for your workloads, or to size them correctly. Our experts will advise the proper instance type with the amount of CPU and RAM to meet your needs, and make sure that none of them are over-provisioned.
Together with your team we shall analyze your existing computing services and modify them to the most efficient size, according to your needs. Right sizing helps reduce cloud spend by achieving an optimal balance between performance and cost, which means running the resources you are paying for with maximum efficiency.
The easiest way to reduce your cloud bill is to find and remove the resources that once were spun up for developing or testing needs and then forgotten about. As a result, you keep on paying for the resources you once purchased, but are no longer using. We help you identify and get rid of those neglected instances to make sure you pay only for the resources that you use.
An idle instance may have the level of CPU usage 1-5%, however, is billed for 100% of its computing capabilities. And then it becomes a significant waste for a company. We help you spot such idle resources and consolidate their computing jobs within fewer instances.
For the companies that plan to use cloud resources in the long run, it is advisable to invest in reserved instances (RIs) – prepaid computing capacities reserved for a long-term usage. The upfront payment and time commitment gives you a significant discount compared to regular instance pricing. However, as RIs can be purchased for a one or three-year term, it requires a thorough analysis of past usage and proper preparation for the future. At SHALB, we help you estimate your instance capacity needs to ensure that you leverage the affordable pricing of RIs to the fullest.
Multi-cloud strategy enables you to use the cloud environment that is best suited to your specific application’s needs. By deploying your services in different clouds we help you achieve optimal balance between costs and performance.
Top cloud providers offer a variety of storage classes with different levels of data availability, access speed and storage duration, all with varying costs and specified use cases. For example, hot storages are intended for active data that frequently transfers in and out of the cloud. This type of cloud storage provides immediate data access and is cost-optimized for active workloads. On the contrary, rarely accessed information should be placed in the more cost-effective coldline or archive storage classes that offer lower storage costs. Depending on your data usage and workload type, we help you pick the most appropriate storage class and optimize your cloud spend.
Depending on how an application works, employing a specific cloud service can help to achieve the required performance level with less expenses. For example, if an application inconsistently consumes a large amount of computing resources, it is more rational to deploy it on a serverless platform instead of a standard instance offer. This way you will be charged only for compute time used by the application, rather than a monthly fee for maintaining a virtual server. Our specialists will help you pick the right cloud service that fits your workload demands while enabling cost saving.
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