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Speed Up App Development and Deployment with Infrastructure as Code

18 Apr
By: ClearScale

It’s a common problem. You can’t seem to develop and deploy applications fast enough to meet your customers’ changing demands. By automating the processes involved, however, you can speed things up. You’re also able to scale up and down on the fly, reduce manual errors, improve the overall availability of the application and realize the cost benefits of on-demand compute. Sounds great, right? But as Tom Hanks’ character said in the movie, A League of Their Own

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Multi-location Access in AWS for Highly Available SAP Applications

08 Apr
By: ClearScale

Research and development (R&D) at most companies is a collaborative process. It requires working with and analyzing large amounts of data, often by teams spread out across multiple geographies and time zones. In many cases, companies rely on enterprise resource planning (ERP) applications to help them integrate and visualize the entire R&D process from idea to production. It’s essential for both the data and applications to always be accessible, secure and free from corruption or

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Achieving Full Potential with Automation

25 Mar
By: ClearScale

Across all industries, automation is radically transforming the way business is conducted. Time-consuming tasks that once required an army of human beings can now be completed via automation technology. Just some of its many benefits include cost savings, greater operational efficiency and the chance to move human capital to tasks better suited for human intelligence, such as problem-solving. Organizations that can find new ways of executing workflows through automation are poised to become leaner, faster and more intelligent. The Challenge

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Data Ingestion Pipeline for Big Data Aggregation and Analysis

11 Mar
By: ClearScale

The Challenge A financial analytics company's data analysis application had proved highly successful, but that success was also a problem. With a growing number of isolated data centers generating constant data streams, it was increasingly difficult to efficiently gather, store and analyze all that data. The company knew a cloud-based big data analytics infrastructure would help, specifically a data ingestion pipeline that could aggregate data streams from individual data centers into a central cloud-based data storage. Among the challenges in

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Migrating HDP Cluster to Amazon EMR to Save Costs and Ease the Upgrade Process

04 Mar
By: ClearScale

Big data has transformed the way companies conduct business. Through the careful analysis of large amounts of information, organizations can be empowered with modern decision-making capabilities that make it easier to draw conclusions and carry out actions based on accurate, relevant, and up-to-date data. Companies that embrace big data gain access to tools that can significantly reduce the cost of doing business. Using big data to help an organization lower costs requires a detailed understanding of how, when, and where

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