A core concept we embrace is that each company’s needs are different, and thus the yardsticks one uses to measure should reflect that. Different projects, different metrics.

An important part of the Uncloud process is determining the critical goals and requirements for a particular project or system, and ensuring we understand the right way to measure success. And that we do this according not just to our own satisfaction, but to our customers’. It means us and our clients working together as a team to achieve specific goals.

Below are just a couple of examples of results we’ve achieved for and with our customers.

It would come as no surprise that managing the analytics on streams of data from sales and marketing efforts by Amazon sellers can entail a vast amount of data. Even the smallest products can generate hundreds of thousands of data points involving the myriad ways customers can search for products, cross joined with paid advertising metrics, organic search information, scoring and ranking data provided by Amazon, sales funnel information, and all the way through to customer service, returns, and support.

One of our clients does just that and deals with sellers, small and large, some with gross sales into and growing beyond nine digits a year. Managing this data cost effectively is a critical part of their business, and makes the difference between a viable and growing business, and an ailing and failing platform.

In this case, storage throughput and latency were (and are still) of the highest priority. With, conversely, network transit being a relatively small problem, compared to the vast amounts of data access required to cross-correlate and process the necessary information provide the right insights to Amazon sellers.

By moving workloads closer to the storage, and carefully organizing the use of custom data processing structures in concern with traditional RDBMS solutions, we were able to find the best balance of cost and performance. Early (prior to Uncloud’s involvement) cost projections had begun to soar, and with the transition to Uncloud’s environment and the guidance provided, we were able to avert potentially disastrous cost-overruns during a key growth period for our customer.

With a significantly lowered total cost of ownership, and critical infrastructure including backups and caching established, this customer is now on a steady growth path toward long-term success.

Near the top of the Inc 5000 Fastest Growing Companies list there is a company which has IoT devices deployed all across the United States and Canada, and expansion plans for Europe and Asia.

The data generated by this network is vast. Storage involves a distributed petabyte-scale platform that can deal with analytics, reporting, real time statistics and more. All while being redundantly backed up and highly available.

This company had relied exclusively on one of the “big three” cloud providers for a number of years. However, a careful cost analysis revealed a significant gap between the services they were getting and what they actually needed for optimal viability.

Between review and tuning at the application level, some reorganization of workloads for improved data processing locality, and just simple cost savings from Uncloud services, current projections show a reduced total cost of ownership by 45% with increases in both reliability and performance.

These gains are putting the company’s computing financials back on track with their initial projections, and allowing money that otherwise would have been spent on overpriced services to go back into the company and fuel further growth.