Keeping Costs Under Control When Processing Big Data in the Cloud - Seguridad Mania.com - España y América Latina

The biggest mistake businesses make when spending on data processing services in the cloud is in assuming that cloud will lower their overall cost. While the cloud has the potential to offer better economics both in the short and long-term, the bursty nature of big data processing requires following cloud engineering best practices, such as upscaling and downscaling infrastructure and leveraging the spot market for best pricing, to realize such economics. Businesses also fail to appreciate the potential of runaway costs in a 100% variable cost environment, something they rarely have to worry about in a fixed cost on-premise environment. In the absence of financial governance, companies leave themselves vulnerable to cost overruns where even a single rogue query can result in tens of thousands of dollars in unbudgeted spend. In this webinar you’ll learn how to: - Identify areas of cost optimization to drive maximum performance for the lowest TCO - Monitor total costs at the application, user, and account level - Provide admins the ability to control and design the infrastructure spend - Automatically optimize clusters for lower infrastructure spend based on custom-defined parameters