Cloudflare Developers•4mo ago

Average worker cost per day 7.86m requests, median CPU time 3293.6ms

That is quite an expensive worker sir, it's not going to be cheap. You also have a very high Median CPU time, which would be your primary cost. I'm assuming you run some type of compute-heavy WASM stuff on there? I recommend investing time into getting this metric down as low as possible. I did some quick ChatGPT math: Requests:10 million included per month + $0.30 per additional million CPU Time: 30 million CPU milliseconds included per month + $0.02 per additional million CPU milliseconds Total Monthly Cost $15,598.81 | Daily Average Cost $519.96

1 Reply

ItsWendellOP•4mo ago

import pandas as pd

# Pricing Plan
requests_included = 10_000_000
request_overage_cost = 0.30
cpu_time_included = 30_000_000
cpu_time_overage_cost = 0.02

# Your Usage
daily_requests = 7_860_000
cpu_time_per_request = 3293.4

# Monthly Calculations
monthly_requests = daily_requests * 30  # Assuming 30 days in a month
monthly_cpu_time = monthly_requests * cpu_time_per_request

requests_overage = max(0, monthly_requests - requests_included)
cpu_time_overage = max(0, monthly_cpu_time - cpu_time_included)

request_overage_cost_total = requests_overage * request_overage_cost / 1_000_000
cpu_time_overage_cost_total = cpu_time_overage * cpu_time_overage_cost / 1_000_000

total_monthly_cost = request_overage_cost_total + cpu_time_overage_cost_total

# Daily Average Cost
daily_average_cost = total_monthly_cost / 30

# Display results in a DataFrame for better readability
results_df = pd.DataFrame({
    'Metric': ['Monthly Requests', 'Monthly CPU Time', 'Requests Overage', 'CPU Time Overage', 
               'Request Overage Cost', 'CPU Time Overage Cost', 'Total Monthly Cost', 'Daily Average Cost'],
    'Value': [f"{monthly_requests:,.0f}", f"{monthly_cpu_time:,.0f}", f"{requests_overage:,.0f}", 
              f"{cpu_time_overage:,.0f}", f"${request_overage_cost_total:,.2f}", f"${cpu_time_overage_cost_total:,.2f}", 
              f"${total_monthly_cost:,.2f}", f"${daily_average_cost:,.2f}"]
})

print(results_df)

// Output
                  Metric            Value
0       Monthly Requests      235,800,000
1       Monthly CPU Time  776,583,720,000
2       Requests Overage      225,800,000
3       CPU Time Overage  776,553,720,000
4   Request Overage Cost           $67.74
5  CPU Time Overage Cost       $15,531.07
6     Total Monthly Cost       $15,598.81
7     Daily Average Cost          $519.96

import pandas as pd

# Pricing Plan
requests_included = 10_000_000
request_overage_cost = 0.30
cpu_time_included = 30_000_000
cpu_time_overage_cost = 0.02

# Your Usage
daily_requests = 7_860_000
cpu_time_per_request = 3293.4

# Monthly Calculations
monthly_requests = daily_requests * 30  # Assuming 30 days in a month
monthly_cpu_time = monthly_requests * cpu_time_per_request

requests_overage = max(0, monthly_requests - requests_included)
cpu_time_overage = max(0, monthly_cpu_time - cpu_time_included)

request_overage_cost_total = requests_overage * request_overage_cost / 1_000_000
cpu_time_overage_cost_total = cpu_time_overage * cpu_time_overage_cost / 1_000_000

total_monthly_cost = request_overage_cost_total + cpu_time_overage_cost_total

# Daily Average Cost
daily_average_cost = total_monthly_cost / 30

# Display results in a DataFrame for better readability
results_df = pd.DataFrame({
    'Metric': ['Monthly Requests', 'Monthly CPU Time', 'Requests Overage', 'CPU Time Overage', 
               'Request Overage Cost', 'CPU Time Overage Cost', 'Total Monthly Cost', 'Daily Average Cost'],
    'Value': [f"{monthly_requests:,.0f}", f"{monthly_cpu_time:,.0f}", f"{requests_overage:,.0f}", 
              f"{cpu_time_overage:,.0f}", f"${request_overage_cost_total:,.2f}", f"${cpu_time_overage_cost_total:,.2f}", 
              f"${total_monthly_cost:,.2f}", f"${daily_average_cost:,.2f}"]
})

print(results_df)

// Output
                  Metric            Value
0       Monthly Requests      235,800,000
1       Monthly CPU Time  776,583,720,000
2       Requests Overage      225,800,000
3       CPU Time Overage  776,553,720,000
4   Request Overage Cost           $67.74
5  CPU Time Overage Cost       $15,531.07
6     Total Monthly Cost       $15,598.81
7     Daily Average Cost          $519.96

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Average worker cost per day 7.86m requests, median CPU time 3293.6ms