TurboTuneSQL Data Gathering Instructions
TurboTuneSQL is designed to provide deep insights into Db2 workload efficiency and uncover optimization opportunities that reduce CPU consumption, lower costs, and improve performance. To achieve this, data collection is conducted in two structured phases to ensure comprehensive analysis and actionable recommendations.
Streamlining Db2 Performance
Optimization with TurboTuneSQL
Why TurboTuneSQL Data Collection Matters
🔹 Minimal System Overhead – Collection jobs are lightweight and require no APF authorization.
🔹 Actionable Performance Insights – Identify CPU-intensive queries and inefficient Db2 processes.
🔹 Precise Savings Forecasts – Accurately estimate reductions in CPU, I/O, and transaction costs.
🔹 Seamless Implementation – Recommendations integrate directly into Db2 workloads with minimal disruption.
A Phased Approach to Db2 Performance Optimization
TurboTuneSQL employs a structured, phased approach to Db2 performance analysis and optimization, ensuring precise recommendations that yield tangible cost and efficiency improvements.
Phase I: Baseline Data Collection
Phase I is the initial assessment stage, where we gather statistical data to understand overall Db2 workload performance. This process identifies key inefficiencies, resource consumption patterns, and CPU-intensive queries. The collected data provides a high-level view of potential cost savings, helping us establish the foundation for further fine-tuning.
Results of Phase I:
✔ Assessment of transaction latency and Db2 cache usage.
✔ Determination of whether further analysis in Phase II is necessary.
Phase II: Advanced Performance Analysis
Phase II takes the optimization process deeper, gathering more detailed information on query execution patterns, index utilization, and workload behavior. At this stage, we analyze Db2 cache data and SQL execution performance, ensuring the most accurate insights into system inefficiencies. This refined data allows us to generate precise tuning recommendations.
Results of Phase II:
✔ Detailed insights into workload behavior and inefficient SQL execution.
✔ A solid foundation for the SQL Proof of Concept (POC) phase.
SQL Proof of Concept (POC): Validating the Impact
Following Phase II analysis, we conduct an SQL Proof of Concept (POC) to demonstrate real-time performance improvements. This phase allows customers to validate and measure the impact of our recommendations before full-scale implementation. We focus on:
✔ Optimizing query execution paths to minimize CPU usage.
✔ Recommending index restructuring to accelerate data retrieval.
✔ Ensuring workload efficiency improvements in both transactional and batch processing.
✔ Providing measurable results to validate estimated savings and system impact.
Why Our Phased Approach Matters
🔹 Minimizes risk – Each phase is designed to be non-intrusive and low-impact on production environments.
🔹 Provides actionable insights – Customers receive clear, data-driven recommendations.
🔹 Delivers measurable results – Optimization improvements can be quantified before implementation.
🔹 Ensures seamless integration – All recommendations align with Db2 best practices and customer-specific configurations.
Next Steps
Once data collection and SQL POC validation are complete, we provide:
✅ Installation support for TTSQL. [Peripheral & z/OS]
✅Training for your staff.
✅ Guidance on implementing recommended changes.
✅ Ongoing support for long-term optimization.
✅CPU Reductions and Performance Enhancement.
Interested in seeing how TurboTuneSQL can enhance your Db2 performance? [Contact Us to Get Started!]
Find the full data collection instructions for Phase I HERE.