One billion records per day are no match for some solid tools in AWS.

We saved a customer tens of thousands of dollars with this one weird trick

Big Cloud Country was faced with a unique challenge. We needed to perform high-throughput data augmentation on a massive dataset consisting of 250 million data points per day. After careful consideration, we decided to deploy an API using a large Redis cache to tackle this challenge.

Big Cloud Country was recently approached by a fast-growing company that uses security camera video feeds to enhance security around office parks and warehouses. The company needed a sense of urgency and action-orientation, so they turned to us for help.

Big Cloud Country is a fast-growing cloud analytics company with a simple but powerful slogan: "all gas, no brakes." We are all about action, making things happen quickly and confidently, and not getting bogged down in design arguments and details.

A prominent ad tech company needed to build a sophisticated big data processing system, which would drastically improve the speed and reliability of their data processing.

The customer's original system was serverless and extremely expensive to operate, costing $5,000 per day. Furthermore, it took several days to reprocess data as new updates arrived, meaning the customer was often stuck waiting for new insights. The customer approached Big Cloud Country with a challenging requirement: they needed a reliable, cost-effective system that could reprocess large amounts of data quickly and accurately.