Getting started (5 min)
This page presents basic queries that can be used to retrieve impacts of cloud instance (AWS use case).
You use curl in command line to query Boavizta demo (public) API.
💡 You can format the results by using jq (curl -X 'GET' 'http://localhost:5000/v1/cloud/aws?instance_type=a1.xlarge' | jq)
Get the impacts from cpu name
This query return the list of available aws instances
Query:
# Query the available aws instances
curl -X 'GET' \
'https://api.boavizta.org/v1/cloud/all_instances?cloud_provider=aws' \
-H 'accept: application/json'
Results:
[
"r6g.xlarge",
"c5a.4xlarge",
"r5b.xlarge",
"r5dn.metal",
"r5ad.12xlarge",
"r6gd.xlarge",
...
"m5ad.2xlarge",
"r6g.medium"
]
Get the impacts of a cloud instance with default usage data
This query returns :
- The usage impact of 1 year of compute at 50% of load for a
r6g.mediuminstance type in europe - The total manufacture impacts of a
r6g.medium
Query:
# Query the data for `r6g.medium` with default usage value
curl -X 'GET' \
'https://api.boavizta.org/v1/cloud/?cloud_provider=aws&instance_type=r6g.medium&verbose=false' \
-H 'accept: application/json'
Results:
{
"gwp": {
"manufacture": 36,
"use": 21,
"unit": "kgCO2eq"
},
"pe": {
"manufacture": 450,
"use": 709,
"unit": "MJ"
},
"adp": {
"manufacture": 0.0027,
"use": 3.54e-06,
"unit": "kgSbeq"
}
}
Get the values used to measure the impacts of each component
This is the same query as before. However, you add the verbose=true flag to get the impacts of each of its components (including usage) and the value of the attributes used for the calculation.
Query :
# Query the data for `r6g.medium` with default usage value
# Query the data for `r6g.medium` with default usage value
curl -X 'GET' \
'https://api.boavizta.org/v1/cloud/?cloud_provider=aws&instance_type=r6g.medium&verbose=true' \
-H 'accept: application/json'
Response :
{
"impacts": {
"gwp": {
"manufacture": 36,
"use": 21,
"unit": "kgCO2eq"
},
"pe": {
"manufacture": 450,
"use": 709,
"unit": "MJ"
},
"adp": {
"manufacture": 0.0027,
"use": 3.54e-06,
"unit": "kgSbeq"
}
},
"verbose": {
"ASSEMBLY-1": {
"units": 1,
"manufacture_impacts": {
"gwp": {
"value": 6.68,
"unit": "kgCO2eq"
},
"pe": {
"value": 68.6,
"unit": "MJ"
},
"adp": {
"value": 1.41e-06,
"unit": "kgSbeq"
}
}
},
"CPU-1": {
"units": 1,
"manufacture_impacts": {
"gwp": {
"value": 19.1,
"unit": "kgCO2eq"
},
"pe": {
"value": 290,
"unit": "MJ"
},
"adp": {
"value": 0.02,
"unit": "kgSbeq"
}
},
"core_units": {
"value": 64,
"unit": "none",
"status": "INPUT",
"source": null
},
"die_size_per_core": {
"value": 0.0714,
"unit": "cm2",
"status": "COMPLETED",
"source": {
"64": "https://en.wikichip.org/wiki/annapurna_labs/alpine/alc12b00"
}
},
"family": {
"value": "graviton2",
"unit": "none",
"status": "CHANGED",
"source": null
},
"tdp": {
"value": 210,
"unit": "W",
"status": "INPUT",
"source": null
},
"USAGE": {
"usage_impacts": {
"gwp": {
"value": 520,
"unit": "kgCO2eq"
},
"pe": {
"value": 17720,
"unit": "MJ"
},
"adp": {
"value": 8.84e-05,
"unit": "kgSbeq"
}
},
"hours_electrical_consumption": {
"value": 157.11830305304008,
"unit": "W",
"status": "COMPLETED",
"source": null
},
"time_workload": {
"value": 50,
"unit": "%",
"status": "DEFAULT",
"source": null
},
"usage_location": {
"value": "EEE",
"unit": "CodSP3 - NCS Country Codes - NATO",
"status": "DEFAULT",
"source": null
},
"adp_factor": {
"value": 6.42e-08,
"unit": "KgSbeq/kWh",
"status": "COMPLETED",
"source": {
"1": "ADEME BASE IMPACT"
}
},
"gwp_factor": {
"value": 0.38,
"unit": "kgCO2e/kWh",
"status": "COMPLETED",
"source": {
"1": "https://www.sciencedirect.com/science/article/pii/S0306261921012149 : \nAverage of 27 european countries"
}
},
"pe_factor": {
"value": 12.874,
"unit": "MJ/kWh",
"status": "COMPLETED",
"source": {
"1": "ADPf / (1-%renewable_energy)"
}
},
"use_time": {
"value": 8760,
"unit": "hours",
"status": "DEFAULT",
"source": null
},
"workloads": {
"value": [
{
"load_percentage": 0,
"power_watt": 25.2
},
{
"load_percentage": 10,
"power_watt": 67.2
},
{
"load_percentage": 50,
"power_watt": 157.5
},
{
"load_percentage": 100,
"power_watt": 214.20000000000002
}
],
"unit": "workload_rate:W",
"status": "COMPLETED",
"source": null
},
"params": {
"value": {
"a": 106.7806614802558,
"b": 0.06385367477645258,
"c": 20.45110317833163,
"d": -3.4539444500465573
},
"unit": "none",
"status": "COMPLETED",
"source": "From TDP"
}
}
},
"RAM-1": {
"units": 16,
"manufacture_impacts": {
"gwp": {
"value": 120,
"unit": "kgCO2eq"
},
"pe": {
"value": 1500,
"unit": "MJ"
},
"adp": {
"value": 0.0049,
"unit": "kgSbeq"
}
},
"capacity": {
"value": 32,
"unit": "GB",
"status": "INPUT",
"source": null
},
"density": {
"value": 0.625,
"unit": "GB/cm2",
"status": "DEFAULT",
"source": null
},
"USAGE": {
"usage_impacts": {
"gwp": {
"value": 30,
"unit": "kgCO2eq"
},
"pe": {
"value": 1025,
"unit": "MJ"
},
"adp": {
"value": 5.11e-06,
"unit": "kgSbeq"
}
},
"hours_electrical_consumption": {
"value": 9.088,
"unit": "W",
"status": "COMPLETED",
"source": null
},
"time_workload": {
"value": 50,
"unit": "%",
"status": "DEFAULT",
"source": null
},
"usage_location": {
"value": "EEE",
"unit": "CodSP3 - NCS Country Codes - NATO",
"status": "DEFAULT",
"source": null
},
"adp_factor": {
"value": 6.42e-08,
"unit": "KgSbeq/kWh",
"status": "COMPLETED",
"source": {
"1": "ADEME BASE IMPACT"
}
},
"gwp_factor": {
"value": 0.38,
"unit": "kgCO2e/kWh",
"status": "COMPLETED",
"source": {
"1": "https://www.sciencedirect.com/science/article/pii/S0306261921012149 : \nAverage of 27 european countries"
}
},
"pe_factor": {
"value": 12.874,
"unit": "MJ/kWh",
"status": "COMPLETED",
"source": {
"1": "ADPf / (1-%renewable_energy)"
}
},
"use_time": {
"value": 8760,
"unit": "hours",
"status": "DEFAULT",
"source": null
},
"params": {
"value": {
"a": 9.088
},
"unit": "none",
"status": "COMPLETED",
"source": "(ram_electrical_factor_per_go : 0.284) * (ram_electrical_factor_per_go: 32) "
}
}
},
"POWER_SUPPLY-1": {
"units": 2,
"manufacture_impacts": {
"gwp": {
"value": 72.7,
"unit": "kgCO2eq"
},
"pe": {
"value": 1050,
"unit": "MJ"
},
"adp": {
"value": 0.025,
"unit": "kgSbeq"
}
},
"unit_weight": {
"value": 2.99,
"unit": "kg",
"status": "DEFAULT",
"source": null
}
},
"CASE-1": {
"units": 1,
"manufacture_impacts": {
"gwp": {
"value": 150,
"unit": "kgCO2eq"
},
"pe": {
"value": 2200,
"unit": "MJ"
},
"adp": {
"value": 0.0202,
"unit": "kgSbeq"
}
},
"case_type": {
"value": "rack",
"unit": "none",
"status": "INPUT",
"source": null
}
},
"MOTHERBOARD-1": {
"units": 1,
"manufacture_impacts": {
"gwp": {
"value": 66.1,
"unit": "kgCO2eq"
},
"pe": {
"value": 836,
"unit": "MJ"
},
"adp": {
"value": 0.00369,
"unit": "kgSbeq"
}
}
},
"USAGE": {
"usage_impacts": {
"gwp": {
"value": 21,
"unit": "kgCO2eq"
},
"pe": {
"value": 709,
"unit": "MJ"
},
"adp": {
"value": 3.54e-06,
"unit": "kgSbeq"
}
},
"hours_electrical_consumption": {
"value": 402.3599830605433,
"unit": "W",
"status": "COMPLETED",
"source": null
},
"usage_location": {
"value": "EEE",
"unit": "CodSP3 - NCS Country Codes - NATO",
"status": "DEFAULT",
"source": null
},
"adp_factor": {
"value": 6.42e-08,
"unit": "KgSbeq/kWh",
"status": "COMPLETED",
"source": {
"1": "ADEME BASE IMPACT"
}
},
"gwp_factor": {
"value": 0.38,
"unit": "kgCO2e/kWh",
"status": "COMPLETED",
"source": {
"1": "https://www.sciencedirect.com/science/article/pii/S0306261921012149 : \nAverage of 27 european countries"
}
},
"pe_factor": {
"value": 12.874,
"unit": "MJ/kWh",
"status": "COMPLETED",
"source": {
"1": "ADPf / (1-%renewable_energy)"
}
},
"use_time": {
"value": 8760,
"unit": "hours",
"status": "DEFAULT",
"source": null
},
"other_consumption_ratio": {
"value": 0.33,
"unit": "ratio /1",
"status": "DEFAULT",
"source": null
},
"instance_per_server": {
"value": 64,
"unit": "none",
"status": "INPUT",
"source": null
}
}
}
}
Get the impacts of a cloud instance with custom usage data
In this query you override default usage data with your custom data for r6g.medium instance type
Notes: you can override zero to many attributes.
Query:
# Query the data for `r6g.medium` with custom usage value
curl -X 'POST' \
'https://api.boavizta.org/v1/cloud/?verbose=false' \
-H 'accept: application/json' \
-H 'Content-Type: application/json' \
-d '{
"provider": "aws",
"instance_type": "r6g.medium",
"usage": {
"hours_use_time": 2,
"usage_location": "FRA",
"time_workload": [
{
"time_percentage": 50,
"load_percentage": 0
},
{
"time_percentage": 50,
"load_percentage": 50
}
]}
}'
the query usage can be translated as such :
I used a r6g.medium in a french data center for 2 hours half of the time in IDLE mode and half of the time at 50% of workload
Results:
{
"gwp": {
"manufacture": 36,
"use": 0.0009,
"unit": "kgCO2eq"
},
"pe": {
"manufacture": 450,
"use": 0.1,
"unit": "MJ"
},
"adp": {
"manufacture": 0.0027,
"use": 4e-10,
"unit": "kgSbeq"
}
}
For further information see : The explanation page on cloud