Solutions
BEZNext Dynamic Capacity Management for On Prem and Hybrid Cloud environments
BEZNext offers Dynamic Capacity Management Performance Assurance software and services for Data Warehouse and Big Data applications working in Hybrid On Prem and Cloud environments. We are experts in modeling and performance optimization and our unique software incorporates ML, AI, Iterative Queueing Network Models and Gradient Optimization technology to assist customers with Cloud Selection and determining Dynamic Capacity Management actions necessary to meet applications Service Level Goals with lowest cost. We apply our technology during entire application life cycle, starting with Performance Engineering during DevOps for new applications, Performance and Workload Management in production environment and Strategic Capacity planning, helping clients compare options, predict cost and select the most appropriate Cloud and On Prem solutions.
BEZNext Dynamic Capacity Management and Performance Assurance Solutions
Performance Engineering
Helping companies in building and implementing new applications that scale and satisfy SLGs with lowest cost
Performance Management
Implementing proactive performance management and workload management optimization
Capacity Planning
Planning IT infrastructure to support growing business demand at lowest cost
Performance Engineering during DevOps for new applications
Our Performance Engineering Solutions Incorporating Modeling and Optimization complement results of Load and Stress testing. They provide value to both Application Developers and Operations during DevOps Process
Application developers
- Predict new applications implementation impact
- Predict how new applications will perform in production environment
- Identify Anomalies and their Root Causes during performance testing of new applications
- Develop performance tuning recommendations to Application Developers
- Predict how new applications will affect performance of existing production applications
- Predict how implementation of new applications will affect Response Time and Throughput of existing applications
- Develop proactive performance tuning, workload management, and capacity planning recommendations
- Set up realistic expectations
Operations
- Develop Proactive Performance Management, Workload Management and Capacity Planning Recommendations
- Compare performance measurement results with expected
- Develop proactive performance tuning recommendations
Performance and Workload Management Optimization in production On Prem and Cloud environments
- BEZNext software and services optimize Performance and Workload Management for Data Warehouse and Big Data Applications in Production On Prem and Cloud environments
- We automate Data Collection On Prem and during cloud benchmarking, Workload Characterization and discovery of the most frequent and severe anomalies for Data Warehouse and Big Data applications, determination of their root causes, changes in pattern of resource utilization to narrow down performance tuning and workload management optimization efforts
- We apply iterative modeling and gradient performance optimization to compare options and develop proactive performance tuning, resource allocation and workload management recommendations
- Automate results verification by comparing the actual measurement data with expected / predicted results
- Create a feedback control
Capacity Planning
Our Capacity Planning software incorporates modeling and optimization. It is used to compare options and recommend the most appropriate platforms and configuration required to meet SLGs for growing Data Warehouse and Big Data workloads in production On Prem and Cloud environments. It addresses the challenges:
- Predicting the impact of expected growth in number of users and volume of data
- Predicting impact of new applications implementation
- Recommending the minimum upgrade that will be required to meet SLGs
- Determine the minimum configuration required to meet business SLGs for growing workloads On Prem and in the Cloud
- Predict the cost of running Data Warehouse and Big Data applications during the next year on different Cloud platforms including Snowflake, Vantage, Redshift, Big Query, Data Warehouse, etc.
- Recommend the appropriate Cloud to meet SLGs with lowest cost
- Recommend how to optimize workload management and resource allocation to meet Service Level Goals with lowest cost
- Automate verification of results and organize feedback control
