ClearScale Blog

The Challenge A modern technology-driven business is awash in mountains of sorted and unsorted data that can be challenging to transform into something that allows for deep analysis. From a development perspective, defining, building, and normalizing or cataloging data in a way that allows for easier analysis is a daunting task, especially if new data sets are identified as needing analysis.   Developers or database administrators have to create processes to extract the information from whichever repository it is stored in

The Challenge Amazon Web Services (AWS) has freed up enormous potential at organizations by allowing them to access computing resources that they could never administer on their own. Now, AWS is offering additional services that enable enterprise IT departments to place even more processes on the cloud, reducing the need to run local infrastructure and allowing projects to smoothly transition in scale. Its latest tool is AWS Fargate, introduced in November at the AWS Re:Invent conference. Amazon has previously

The Challenge With the increasing threat of data theft, either through hacking attempts, DDoS attacks, data interception during transit, or defects in code that provide backdoors to sensitive data, the reality of the world today is that businesses need to be more proactive in securing proprietary data. With the trend of businesses moving their operations more and more to the Cloud, this need for data security is paramount. Simply creating an instance within the Cloud does not mean that data

The Challenge As an organization grows, so does the amount of data it stores, either from information it creates on its own, or from an aggregation of data from multiple sources. From a business operations perspective, trying to glean useful information from terabytes worth of data in a quick and expedient way can become challenging as the amount of data grows or if multiple, complex joins are needed. A global news organization discovered this fact several years ago as they

The Challenge For companies that existed long before the birth of Cloud computing, serious contenders in any technology vertical implemented a standard practice of deploying substantial infrastructure footprints to address growth and traffic spikes. This resulted in large-scale data center presence with overprovisioned capacity. As demand for their software products continued to grow, so did the demands on their data centers; hardware needed be upgraded and more servers deployed to scale with their business. At some point, however, this approach