BEZNext Cloud Decisions Optimization

Hybrid Multi-Cloud Performance and Financial Optimization

Get a Demo

Trusted by over 100 of the Fortune 500

What We Do

BEZNext offers performance and financial optimization software and services for the Hybrid
Multi-Cloud environments

Help companies select the right Cloud Platform for Data Warehouse and Big Data applications

BEZNext Data Sheet

Optimize Cloud
Migration Decisions

Which Cloud Data Platform is Best for Your Warehouse?

Optimize Dynamic Capacity Management in Hybrid Multi-Cloud environment

BEZNext FinOps Optimization

Predicting cloud data
platforms carbon footprint

BEZNext Carbon Footprint Estimation

BEZNext Keeps You A Step Ahead

With solutions that optimize your cloud data platform selection, migration to the cloud and dynamic capacity management of Hybrid Multi-Cloud environments

Assure Performance

Determine performance and financial anomalies and their root causes
Predict configuration and workload management changes required to continuously meet SLGs for all workloads on all platforms

Lower Cost

Predict the budget required to continuously meet SLGs for all workloads on all platforms
Recommend changes necessary to avoid anomalies

Reduce Risk

Organize performance and financial governance
Set realistic expectations to reduce risk
Verify results and organize a continuous Dynamic Capacity Management process

BEZNext offers world-class cloud performance and financial optimization software and services

What

Select appropriate Cloud Data platform for Data Warehouse applications
Migration to the cloud decisions optimization
Dynamic Capacity Management for Hybrid Mluti-Cloud environment

How

Use Advanced Analytics
Iterative modeling and gradient optimization to set realistic performance and financial expectations
Queueing Network Models and ML algorithms

Value

Provide recommendations on how to reduce risk of performance and financial surprises
Implement automatic results verification and Dynamic Capacity Management for Hybrid Multi-Cloud environment
Predicting electrical power consumption and carbon footprint for Data Warehouse workloads on different cloud platforms