ClearScale Blog

More and more, organizations are replacing legacy, on-premises IT infrastructure with agile cloud-based architecture. Public cloud providers, like Amazon Web Services (AWS), have made it easier than ever to take advantage of powerful capabilities, such as predictive analytics, Artificial Intelligence (AI) / Machine Learning (ML), serverless computing, and more. However, migrating applications, no matter how mission-critical, requires careful planning and technical expertise. Getting every step of the migration journey right, from discovery to production, is difficult without a well-defined roadmap. Those

When considering data and analytics solutions in the cloud, there are several factors to consider: How much will it cost? Will your analytics solution enhance, rather than burden, your ability to collect, process, and assess large data sets? Scalability is certainly important. Your analytical tools must be able to meet the demands of your business. Are you evaluating the most modern technologies? And how will you implement your new data analytics solution? We list all the important questions you need

As a scalable, low-cost, centralized data repository for storing raw data from a variety of sources, data lakes are growing in popularity. With data lakes, users can store their data as-is without having to first structure it, and then run different types of analytics to gain insights. From reducing costs to automating data analytics, data lakes bring many benefits. We cover the top five reasons to dive into data lakes in the infographic below. Download the eBook Leverage Big Data

Business and IT leaders all over the world are replacing legacy, on-premises technology with flexible, scalable, and cost-effective computing power in the cloud. From reducing IT costs to accelerating innovation, there are many compelling reasons to embark on a migration journey. However, making the transition is not easy without a well-developed plan and cloud expertise. Here, we highlight the eight biggest reasons why we see organizations migrate to a cloud platform, which include: Reducing IT costs Increasing business agility Improving

Today, we have an incredible amount of data at our disposal. Billions of smart devices continue to flood the market, increasing the volume of available information every day. At the same time, the velocity at which we can process data is improving rapidly with advances in computing technology. We also have access to a wider variety of data, enabling us to glean richer insights about our world. Businesses that can take advantage of Big Data analytics have a distinct advantage

There are many well-known benefits of moving from an on-premises IT infrastructure to a cloud environment. Ease of use, scalability, security, and high availability are just some of the advantages that the cloud provides. But one important factor often goes unknown - the cost of the cloud migration. Determining an accurate assessment isn’t easy. Each organization is unique, with different business objectives, varying goals, and specific IT requirements. And while they usually offer similar services, each cloud services provider

Cloud migration offers numerous financial benefits — particularly when the migration is to AWS cloud services. Still, making the move isn’t free. Well thought-out migration planning is critical for creating a budget, adhering to it, and avoiding excessive and/or unexpected expenses. In a previous blog, we discussed one aspect of that planning: using information about current on-premise infrastructure to calculate cloud environment costs. In addition, there will be costs associated with the actual migration process, including any application modernization

We create a massive amount of data every day, and according to IBM, a vast majority of it is unstructured. Fortunately, modern data and analytics tools have enabled us to manage and create value from all of the information we now have at our fingertips. Businesses are becoming increasingly aware of how important modern data tools are for delivering higher-quality offerings, cutting costs, and identifying new growth opportunities. Netflix, a leading proponent of data analytics, claims its personalized recommendation engine

There are many well known benefits of moving to the cloud - increased productivity, optimized performance, enhanced flexibility, and more. But to get a clear picture of the value that a cloud migration can provide, you should start in the pre-migration phase with a cost calculation. To determine what it will cost to move to the cloud, as well as the potential savings it can yield, you first need to know what you’re currently paying for your on-premise IT

Big Data adoption is skyrocketing all over the world. According to Wikibon, the Big Data market is projected to grow to $103B by 2027. In five years, more than 150 trillion gigabytes of data will require analysis. That’s a lot of data. Companies are growing increasingly aware of how valuable all of this information can be for driving critical business decisions. Big Data insights allow organizations to identify new sources of growth, accelerate innovation, and mitigate risk. However, taking