Azure Load Balancer Calculator
Cost a Standard Load Balancer from its rule count, processed data and the public IP addresses attached to it.
About Azure Load Balancer Calculator
A Standard Load Balancer bills a flat hourly rate that covers the first five rules, an incremental rate for every rule beyond that, and a per-GB charge on all data processed. Inbound NAT rules and health probes are free, but each Standard public IP attached to the frontend is a separate hourly meter. Rule sprawl is the hidden cost here — a per-port rule set for a hundred services costs far more than one HA-ports rule doing the same job, and the per-GB data charge makes the load balancer a real line item at scale; confirm the current rates for your region in the Azure pricing calculator.
Formula
Azure Load Balancer
monthly = base rate × 730 for the first five rules + additional rules × per-rule rate × 730 + data processed × per-GB rate + public IPs × per-IP rate × 730.
- included rules
- First five load-balancing or outbound rules covered by the base rate
- data processed
- Inbound plus outbound bytes handled by the load balancer
- public IP
- Standard SKU static address, billed hourly even when idle
Worked example
With the default values below, Azure Load Balancer Calculator returns Monthly Cost of $72.45. Change any input above and every figure here is recalculated in your browser.
Inputs used
- Load-balancing and outbound rulesaccepts 0–1,500 rules
- 8 rules
- Rules included in the base chargeaccepts 0–50 rules
- 5 rules
- Base rate for the included rulesaccepts 0–10 USD/hour
- 0.025 USD/hour
- Rate per additional ruleaccepts 0–10 USD/hour
- 0.01 USD/hour
- Data processedaccepts 0–10,000,000 GB/month
- 5,000 GB/month
- Price per GB processedaccepts 0–5 USD
- 0.005 USD
- Standard public IP addressesaccepts 0–1,000 addresses
- 2 addresses
- Price per public IPaccepts 0–5 USD/hour
- 0.005 USD/hour
- Billed hours per monthaccepts 1–744 hours
- 730 hours
Results
- Monthly Cost
- $72.45
- Rule Charge
- $40.15
- Data Processing Charge
- $25.00
- Public IP Charge
- $7.30
- Rules Billed Individually
- 3 rules
- Blended Cost per GB
- 0.0145 USD/GB
Step by step
- 1Values used
- 2Azure Load Balancer
- 3Monthly Cost= 72.45
- 4Rule Charge= 40.15
- 5Data Processing Charge= 25.00
- 6Public IP Charge= 7.30
- 7Rules Billed Individually= 3 rules
- 8Blended Cost per GB= $0.0145/GB
Assumptions and limits
- The result is derived only from the 9 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax or compounding frequency into account.
- Figures are rounded for display to 4 decimal places, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
How is Azure Load Balancer calculated?
monthly = base rate × 730 for the first five rules + additional rules × per-rule rate × 730 + data processed × per-GB rate + public IPs × per-IP rate × 730. A Standard Load Balancer bills a flat hourly rate that covers the first five rules, an incremental rate for every rule beyond that, and a per-GB charge on all data processed. Inbound NAT rules and health probes are free, but each Standard public IP attached to the frontend is a separate hourly meter.
Why does Azure Load Balancer matter?
Rule sprawl is the hidden cost here — a per-port rule set for a hundred services costs far more than one HA-ports rule doing the same job, and the per-GB data charge makes the load balancer a real line item at scale; confirm the current rates for your region in the Azure pricing calculator.
What values do I need to enter?
This calculator takes 9 inputs: Load-balancing and outbound rules, Rules included in the base charge, Base rate for the included rules, Rate per additional rule, Data processed, Price per GB processed, Standard public IP addresses, Price per public IP, Billed hours per month. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.
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