To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.

To calculate the total number of VMs needed with the buffer, we can use the formula: \[ \text{Total VMs} = \text{Peak Demand} + (\text{Peak Demand} \times \text{Buffer Percentage}) \] Substituting the values: \[ \text{Total VMs} = 1200 + (1200 \times 0.20) = 1200 + 240 = 1440 \text{ VMs} \] Next, we need to determine how many hosts are required to support these 1440 VMs. Given that each host can support a maximum of 50 VMs, we can calculate the number of hosts needed using the formula: \[ \text{Number of Hosts} = \frac{\text{Total VMs}}{\text{VMs per Host}} \] Substituting the values: \[ \text{Number of Hosts} = \frac{1440}{50} = 28.8 \] Since we cannot provision a fraction of a host, we round up to the nearest whole number, which gives us 29 hosts. However, to ensure that the environment is robust and can handle additional unforeseen demands, it is prudent to provision an additional host. Therefore, the final recommendation would be to provision 30 hosts. This calculation illustrates the importance of considering both peak demand and potential spikes in workload when configuring an SDDC in VMware Cloud on AWS. Properly sizing the infrastructure not only ensures that performance requirements are met but also enhances the overall reliability and availability of the services provided.