Achieving KPI Targets through Automated Analysis
The Challenge
Our large enterprise client faced significant challenges in optimizing memory and CPU utilizations to meet their KPIs. The manual process of analyzing these metrics and generating recommendations was time-consuming and prone to errors. This inefficiency delayed necessary adjustments, preventing the client from achieving optimal performance. There was a critical need to reduce manual analysis and automate the process to significantly reduce the turnaround time for delivering recommendations to the intended stakeholders.The Solution
Our company was contracted to analyze the clusters and applications and provide actionable recommendations. Recognizing the need for a faster and more reliable process, our engineering team developed an automation script to streamline the analysis and recommendation process.Automation Script Development:
The automation script was designed to:- Collect Data: Automatically gather memory and CPU utilization metrics from the last 30 days.
- Analyze Metrics: Use built-in logic tailored to the client's KPIs to analyze the collected data.
- Generate Recommendations: Provide clear and actionable recommendations for changes that would help achieve the desired memory and CPU utilization levels.
The Outcome
The implementation of the automation script led to substantial improvements for our client:- Reduced Turnaround Time: The automated process drastically reduced the time required to analyze metrics and generate recommendations from several days to a few hours.
- Increased Accuracy: Eliminating manual analysis made the process more accurate, significantly reducing the risk of human error.
- Enhanced Efficiency: The client made faster and more informed decisions, leading to quicker adjustments and improved system performance.
- Achievement of KPIs: With timely and precise recommendations, the client successfully optimized their memory and CPU utilizations, reaching their KPIs faster than anticipated.
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