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Workshop Outline

Week 1 - 2.  Observing and informing performance and cost in your Hybrid Multi-Cloud environment

  • Challenges of Cloud Service Provider and Cloud Data Platform selection for business workloads, optimizing cloud migration decisions and Organizing Hybrid Multi-Cloud Dynamic Capacity Management   

  • BEZNext methodology and software tools addressing these challenges

Understanding on-premises and cloud business workloads
  • Data Collection

  • Workload Aggregation

  • Workload Characterization

  • Workload Forecasting

Problem determination
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  • Determine the frequency and severity of performance and financial anomalies and root causes for each business workload on each platform in your hybrid multi-cloud environment 

  • Determine the critical SQL, and most frequently accessed databases and tables

  • Determine the changes in the pattern of performance and resource utilization

  • Development performance tuning recommendations for your environment

Week  3. Use modeling to optimize performance and lower the cost

Applying modeling and optimization for appropriate cloud data platform selection for each business workload
  • BEZNext modeling basics, including the use of ChatGPT, Machine Learning algorithms, Iterative queueing network models, and gradient optimization

  • Evaluate the impact of expected changes, workload, and volume of data growth and new applications deployment

  • Select the appropriate cloud platform and set realistic performance and cost expectations for each business workload

  • Verify results

Applying modeling and optimization for cloud migration decisions optimization
  • Determine the minimum configuration and budget needed to meet SLGs for ETL process in a cloud

  • Predict the overhead of Tokenization/Detokenization in the cloud

Organizing dynamic capacity management of the hybrid multi-cloud environment
  • Continuously analyze performance and Cost of Hybrid Multi-cloud environment 

  • Apply Modeling and Optimization to define measures necessary to meet SLGs for all workloads and set realistic performance and financial expectations for all business workloads on all platforms

DevOps decisions optimization
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  • Recommendations for developers

  • Recommendations for Operations before new applications deployment

  • Compare actual results with expected and recommend corrective actions -  feedback control process

Week 4. Build summary report with findings and recommendations

We will guide you in developing a performance and cost optimization report 
  • Each lecture of the workshop incorporates exercises and quizzes to reinforce your learning experience.

  • After the workshop, our team will guide you in generating a report highlighting key findings and generating performance and cost optimization recommendations.

  • This report will include recommendations addressing the most critical challenges of your organization. For example, cloud platform selection, migration, DevOps, and dynamic capacity management decisions. We aim to assist you in achieving your business performance objectives while minimizing costs.

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For further inquiries or additional information, please don't hesitate to contact us at Our team will be delighted to assist you.

Taking Notes
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