CASFS+ Does Not Cost, It Saves

Despite the often talked about benefits, integrating big data processing into a business still comes with a hefty price tag attached. As the amount of data consumed by businesses grows every passing day, the computational power required to take advantage of advancing big data techniques inevitably puts a strain on business spending. Even with the cloud’s pay-as-you-go model, these solutions can easily consume more resources than you initially planned. 

Our CASFS+ tools are specifically designed as a solution to the dilemma of rising cloud computing costs. From resource-saving caching and deduplication mechanisms to cost-monitoring features introduced by the file system, CASFS+ helps organizations significantly minimize cloud resource usage in big data processing. 

How Quantbot cut cloud computing costs with CASFS+

Quantbot Technologies, a leading global quantitative investment advisor, is one of the clients that has reaped the benefits of the cost reduction techniques employed by CASFS+ tools. The company joined hands with us to “control the potential for runaway costs” as it prepared to expand its cloud computing resources to support new research activities.

With the successful integration of our smart content hashing mechanism alone, the system was able to reduce the required storage capacity by 21%, bringing down the volume from 245 TB to 197 TB. Despite excessive cloud services usage, the company also managed to stay within its budgeting limits with the help of team and user-centric budgeting facilities provided by the file system. 

“Using the CASFS+ tools, we are now able to run average loads on the cloud using about ten times the capacity of our on-prem compute farm, all this at a cost of about 20% of what we’d need to pay to support that processing in house,” Paul White, Quantbot’s chief executive says, emphasizing how CASFS+ has allowed the company to fulfill its business needs. 

How CASFS+ helps you save money

With the expanding computational demands of big data processing, your business’s cloud computing costs can easily get out of hand as solutions advance and scale up. The integration of CASFS+ provides an additional layer to your cloud solutions, optimizing and controlling resource usage to help you stay within your budget. Whether or not your business needs are similar to Quantbot, CASFS+ has the tools to control different areas of cloud resource consumption and rein in your expenses. 

From deduplicating data to creating cloud budgets, here are the main techniques CASFS+ employs to reduce cloud computing costs:

  1. Deduplicating data to save storage

CASFS+ inherently prevents redundant storage of content in the file system, which we call deduplication. It employs a smart hashing technique that recognizes when multiple files have identical content, allowing the system to use a single object to refer to all of them. In datasets with a high amount of redundant content, deduplication alone can support up to a 20x reduction in the utilized storage

  1. Minimizing S3 requests through caching

In addition to the utilized storage space, the number of data retrieval requests sent to Amazon S3 plays a significant role in determining cloud computing costs. Therefore, CASFS+ uses a local caching mechanism to minimize the number of S3 requests sent by your cloud applications. The cache stores the frequently accessed content in the system’s local storage and uses a caching algorithm to determine the objects that should be added or removed. 

  1. Minimizing S3 requests through user access management

Another method CASFS+ employs to limit S3 requests is managing user access. When only the users who need to work with the data can access it, the system doesn’t have to worry about any idle requests made to S3 contributing to its overall costs. CASFS+ makes it incredibly easy to define user access levels and permissions. In addition to creating POSIX access control lists, you can also grant access permissions to users for a specific time period by simply modifying the file names. 

  1. Updating costs in real-time and applying budget quotas

CASFS+ allows you to allocate cloud budgets for users and teams. They can then view the incurred costs and remaining budget amounts in real-time through the file system. It enables users to plan ahead and adjust their activities each month to prolong the budget without overspending. If the user spends 100% of the budget, CASFS+ restricts them from creating new servers within the cluster. If the costs exceed 130% of the budgeted amount, the system automatically terminates the entire cluster the user is working on. 

  1. Simplified spot instance usage

Spot instances provide an excellent cost-saving alternative to on-demand servers where big data processing tasks are concerned. CASFS+ makes it easier to take advantage of this effective cost reduction opportunity by storing all home directory data, supporting faster mounting when creating new instances. 

Conclusion

Today, due to the easy-to-use and affordable computational resources provided by the cloud, big data processing has become more accessible to companies of all scales. However, as the volume of processed data increases and big data techniques advance even further, cloud computing costs can rise beyond what your business can afford. CASFS+, as a cloud-based file system and a resource manager, gives you a solution to this problem by employing numerous cost-saving mechanisms and budget controls. So, by integrating CASFS+ when you transfer your applications to the cloud, not only will the migration be smoother, your business will also save money and resources.