JUNE 2021CIOAPPLICATIONS.COM 19change. Steps are repeated until the predicted performance is better than the SLG.Our modeling results answer several critically important questions:· What is the minimum cloud configuration required to provide performance comparable to that of the original, on-premises production workloads?· What is the initial cost of the cloud configuration, and what will it cost in the future to support workload growth in both the number of requests and the volume of data?· How will new applications going through the DevOps process perform on different cloud platforms?· What will it cost to support a new application after deployment, and what will it cost to support an expected increase in the number of users and volume of data on different cloud platforms?For hybrid multi-cloud environment, our software answers the following questions and generates recommendations, including:· When and how much should resources adjusted?· When and how to should workload management parameters be reset?· Where to best deploy new applications?· Which is the best pricing model for each platform?· What are the differences between predicted and actual costs and performance for each workload on different platforms?· What causes the differences?· How to implement continuous dynamic capacity management to meet SLGs at lowest cost?We developed this approach to help IT organizations select the appropriate cloud data platform and cost effectively manage complex hybrid multi-cloud environments.Who are your typical customers? Can you share with us a customer success story?BEZNext has successfully worked with larger customers across many industries, including Financial Services, Retail, Power and Energy. Any organization planning to move Data Warehouse and DataLake workloads to the cloud and interested in reducing risk of performance and financial surprises can take advantage of our offering.Many customers concerned with the selection of the appropriate cloud data platform typically conduct industry standard TPC type benchmark tests or organize Proof of Concepts tests with their own representative queries and data. After major efforts and 6 ­ 9 months they realize their tests cannot determine the minimum configuration and cost required to meet their SLGs.Using our software and services they get the results in 2 ­ 3 weeks.Our goal is to provide a plan for cloud deployments that aligns the performance necessary to meet stringent business requirements with the associated costs of running that cloud configuration. BEZNext takes into consideration different pricing models and changes in daily and monthly seasonal activity of the workloads. The planning process also needs to factor in growth expectations for both the amount of data being managed and the number of users accessing that data. New applications might also affect operations.Modeling and optimization results are used to compare the cost/performance of Vantage, Snowflake, Redshift, BigQuery, Oracle Autonomous Data Warehouse, SAP Hana Cloud and other cloud data platforms running in AWS, Azure and other Cloud environments.The BEZNext modeling and optimization technology can provide comprehensive recommendations for Cloud Selection within 2-3 weeks versus 6-9 months typically required to conduct customized POC tests.For organizations with Hybrid Multi-Cloud platforms, we also offer Dynamic Capacity Management solutions to optimize resource allocation and workload management to continuously meet SLGs for each workload with the lowest cost.What differentiates BEZNext from its competitors?We are an independent software and professional services vendor developing recommendations optimizing DevOps and FinOps decisions.Our recommendations provide performance and cost expectations. After the implementation we automatically compare actual performance and financial results with expected. If the results are significantly different, we determine the root causes of that and recommend the corrective actions. It enables organizing a continuous dynamic capacity management of Hybrid Multi-Class environment.Optimization of DevOps and FinOps decisions during cloud data platform selection and management of the Hybrid Multi-Cloud platform with setting realistic expectation and automatic results verification is setting us apart from competitors.What does the roadmap look like for BEZNext?We are working toward automation of modeling and optimization of the DevOps and FinOps decisions. We are also working to automate dynamic capacity management for Hybrid Multi-Cloud environments based on closed loop feedback control. We deliver software and services optimizing Dev/Ops and FinOps decisions of cloud data platforms selection and dynamic capacity management of Hybrid Multi-Cloud environments reducing the risk of performance and financial surprises
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