BEZNext: Cloud Performance and Financial Governance Optimization

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Boris Zibitsker, CEO
One of the most significant technological trends has been the shift of data warehouse and Hadoop workloads to cloud computing. Companies expect to benefit from moving to cloud computing in various ways, including lower IT expenses, greater flexibility, increased efficiency, improved security, enhanced performance, and the opportunity to innovate and develop new capabilities. The challenge for enterprises lies in selecting an appropriate cloud data platform, cloud migration optimization, dynamic capacity management, and DevOps decisions optimization. Many cloud migration projects take too long and bring many performance and financial surprises.

"Our goal is to develop a continuous Performance and Financial Governance process for Hybrid Multi-Clouds," says Dr. Boris Zibitsker, CEO of BEZNext. BEZNext helps companies with Cloud Performance and Financial Governance (FinOps) by offering software, services, and training. The company has provided Performance Assurance services to over a hundred Fortune 500 firms across many industries, including retail, telecommunications, insurance, finance, and manufacturing.

BEZNext's software incorporates machine learning, artificial intelligence algorithms, iterative queuing network models, and gradient optimization to optimize performance and financial governance decisions to meet business workloads' Service Level Goals (SLG) at the lowest cost. "We help customers to optimize performance and financial governance, including selecting the right cloud data platforms, optimizing migration, and organizing the dynamic capacity management and DevOps decisions optimization. BEZNext answers the critical question: What is the minimum configuration and budget required to meet business goals, and how much would it cost?" adds Boris.
The value of Cloud Data Platform Selection is in determining the minimum configuration and budget required to meet the SLG for each business workload for each of the optional cloud data platforms. It reduces uncertainty and provides realistic expectations enabling results verification.

The value of migration optimization is in comparing options and determining the minimum configuration and cost required to support SLGs for all workloads, including ETL/ELT and data streaming requirements and security options evaluation.

Dynamic Capacity Management's value is in organizing the continuous automatic process, determining the Performance and Financial Anomalies and Root Causes, workloads activity patterns for all workloads on all platforms, and reporting daily, weekly, and monthly.
The closed-loop feedback control automates data collection, workload aggregation, workload characterization, performance, and financial anomalies detection, modeling, and optimization. Feedback control evaluates options for fixing and avoiding anomalies and sets realistic and verifiable recommendations, reducing the risk of performance and financial surprises.

The value of DevOps Optimization is in developing recommendations for developers and operations before new applications deployment. It estimates the budget required to meet SLGs for the new application and reduces the risk of performance and financial surprises.


Illinois, United States

Boris Zibitsker, CEO

BEZNext offers software, services, and training helping companies with organizing Cloud Performance and Financial Governance. Modeling and optimization are the foundation of the automated close loop control process. BEZNext's software incorporates machine learning, iterative queueing network modeling, gradient optimization to evaluate options and recommend how to meet SLGs for all workloads in a Hybrid Multi-Cloud environment with the lowest cost.