1. Create capacity planning documents for applications - Capture virtual machine resource (CPU, Memory, and Disk) - Analyzing capacity resource by using Ms. Excel or Spreadsheet - Estimating the performance of virtual machine capacity for the next 1 to 2 years2. Follow up new server submissions and virtual machine capacity update requests - Reading the needs of the user's request on the submitted Confluence document - Checking resource condition with using vROPs, vCenter, Zabbix and Grafana web application tools - Defining clusters for new Virtual Machine deployment requirements - Analyzing clusters and Virtual Machines by considering the resource condition information that has been checked previously - Optimizing Virtual Machine resource utilization by analyzing virtual machine capacity needed - Providing recommendations for the required capacity according to the analysis carried out3. Monitoring Virtual Machine resources using vROPs, vCenter, Zabbix and Grafana web web tools - Checking the Virtual Machine capacity resource update history - Monitoring the condition of cluster or datastore resources - Checking disk partitions and monitoring Virtual Machine resource utilization metrics - Analyzing the Virtual Machine resource capacity prediction graph for a year4. Data Visualization - Making dashboard monitoring for capacity resources on Google Data Studio - Visualize data into diagrams for easy reading using Spreadsheet and Google Data Studio