Capacity Planning and Scalability Assessment

As part of our growth strategy, I need to conduct a capacity planning and scalability assessment. Our current infrastructure consists of 10 servers with an average CPU utilization of 60% and memory utilization of 70%. We anticipate a 30% growth in users over the next year. Could you help by:

• Developing a methodology to forecast resource requirements based on historical data (see attached examples) and projected growth. This methodology should consider CPU utilization, memory usage, network throughput, and disk I/O as key metrics. The historical data is provided in CSV format. An example row of the CSV data is: timestamp,cpu_utilization,memory_usage,network_throughput,disk_io\n2024-01-01T00:00:00Z,55,68,120,30. Timestamps are in ISO 8601 format, CPU utilization and memory usage are percentages, network throughput is in Mbps, and disk I/O is in MB/s.

• Identifying potential bottlenecks in the current infrastructure and suggesting mitigation strategies, considering a budget limit of $50,000.

• Recommending tools for capacity monitoring and predictive analysis (e.g., Prometheus, Grafana), focusing on the specific metrics mentioned above.

• Providing the assessment in a report format. The report should include an executive summary, a detailed analysis of the current infrastructure, and specific recommendations. The target audience for this report is the executive leadership team, so please avoid excessive technical jargon. The report should ensure we meet our SLAs, including 99.9% uptime and response times under 200ms.

• Please consider regulatory requirements related to data storage and processing during the assessment and include any relevant compliance considerations. Specifically, ensure the assessment considers GDPR requirements regarding data residency and encryption at rest.