MySQL database assessments look at a point in time snapshot of a data infrastructure and apply hours of consulting expertise to optimize a system for a specific scenario. Deep takes a different approach.

We’ve built Deep Data Bench, the world’s only tool that is capable of rapidly simulating different data scenarios (schema, workload, data/user volume) and coming up with optimal configurations in a matter of hours.

Using this tool, Deep’s MySQL experts are able to conduct “what if?” scenario planning that allow you to plan ahead of your biggest growth issues. The service is completely confidential and we ensure your data and business are completely protected during this process.

Request Database Assesment

Data Growth Planning

  • Model the impact of year-over-year data growth on performance across your environment
  • Simulate seasonal and flash surges that stress overall performance and scale
  • Create a multi-step long term growth plan for your MySQL database systems

Workload & User Modeling

  • Identify performance challenges and structural breakdowns due to high concurrent user volume
  • Simulate the effects of changes to the composition of your configuration and workloads
  • Query and index analysis and recommendation

Best Practices Review

  • ETL operational review of the overall data processing architecture
  • Review of operational procedures across backup, recovery and replication

The database assessment is composed of four steps:

Step 1: Interview

Understand the current database use case, relative performance, current issues and future concerns from your perspective

Step 2: Environment Assessment

Leverage machine audits, schema, configuration and workload monitoring to create a comprehensive model of your data environme

Step 3: Scenario Simulation

Simulate optimization and what-if scenarios to identify the ideal configuration and architecture to meet your current and future data challenges

Step 4: Recommendations Review

Review a multi-step action plan that covers overall findings, recommended optimizations and potential future pitfalls.

Who can benefit:

Companies running a MySQL environment hitting scale and performance challenges for any of the following suspected reasons can benefit from this free assessment:

  • High volume data or extreme concurrent user loads
  • Slow analytical query performance
  • Hybrid workloads (HTAP) that may require ETLs into purpose-built systems
  • Companies that require real-time data visibility
  • Large data ingestion needs that create downtime or “dim the lights” of database performance
  • eCommerce and retail attrition due to poor transactional database performance