Comments (3)
V0.3 will introduce a new format for server instances.
id | manufacturer | CASE.case_type | year | CPU.units | CPU.core_units | CPU.name | CPU.manufacturer | CPU.model_range | CPU.family | CPU.tdp | CPU.manufacture_date | RAM.capacity | RAM.units | SSD.units | SSD.capacity | HDD.units | HDD.capacity | POWER_SUPPLY.units | GPU.memory | GPU.memory | GPU.units | POWER_SUPPLY.units | POWER_SUPPLY.unit_weight | USAGE.instance_per_server | USAGE.time_workload | USAGE.use_time | USAGE.years_life_time | USAGE.other_consumption_ratio | USAGE.overcommited | Warnings |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
xyz | AZURE | rack | 2018 | 1 | 16 | Xeon E5-2651 v2 | 40 | 2018 | 16 | 2 | 0 | 0 | 0 | 2 | 2;2;2 | 2.99;1;5 | 2 | 50;0;100 | 8760 | 35040 | 0.33;0.2;0.6 | 0 |
Note that in case an instance has multiple type of components, you can put : default;min;max
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This website succeed to get a lot of information about Azure instances with Azure API.
Example : https://azureprice.net/vm/Standard_D1_v2
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Adding new cloud providers and new cloud instance should now follow this process : https://doc.api.boavizta.org/contributing/cloud_provider/
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Related Issues (20)
- Automate documentation generation : Tutorial output (from query)
- Automate documentation generation : Impact factors (from factor.yml)
- Automate documentation generation : List of available routers (in the reference part)
- Default values for attributes
- Internal server error when requesting https://api.boavizta.org/v1/server/ with archetypes dellR740 and mac2.metal HOT 5
- No CPU core units default for lots of archetypes HOT 3
- Remove 0.491 in CPU die calculation
- GWP use impact value is "not implemented" in last version for at least desktop and laptop HOT 2
- Integrate DC (technical environment en building) footprint estimation
- Extending AWS servers lifetime in servers.csv, to match new official AWS refresh policy ?
- Missing AWS platforms / servers for several instance references
- cloud/instance with is4gen.8xlarge leads to "ZeroDivisionError: float division by zero" HOT 3
- Instances referencing non existing "platform_aws_m1" platform, leads to 500 error / HOT 1
- The impact of RAM and CPU usage is counted twice
- Chore[CI]: update github actions that rely on Node16
- Compliance with ISO 21031/GSF Software Carbon Intensity
- Update electricity impact factors
- Verbose output of CPU and RAM use impact values are inconsistent with total use impact values
- RAM coefficient value - implementation vs. HotCarbon paper
- Add a API route that returns current version of the API
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