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Missing instance types in aws.csv #232
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Thanks for your wish to contribute ! Process for adding instances
DatasourceMost configuration information should be reported in AWS documentation or third party services. See for c5.12xlarge :
AutomatizationWe don't have an automatic process to fulfill our database, if you wish to do it automatically, feel free to provider a Jupyter notebook. Hops it answers all your questions. Feel free to ask others. |
@da-ekchajzer thanks for the description! So basically I should just leave empty if I can't find the data? Existing dataI have looked at the existing data to see if I can understand how existing data is extrapolated from external data sources. However, it seems that there is some errors in existing data. Can that be true? If there are errors in existing data, should I then fix them? Also it seems that for many instances, defaults are hardcoded into the datasheet, shouldn't they be omitted as you said? For example, Also, should Previous Generation Instances be removed? Such as c1.medium and c1.xlarge? New data I addI have tried to create a table describing where to get data for the columns. Does it seem right? All the places I have put just
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Yes and no :). I was a little to quick on my response. I would say as a first step yes, and then we will discuss on how to account for unknown data (either default value or range) Range (value;min;max)To address uncertainty in situations where a value is not known or cannot be determined, we employ a default value accompanied by a minimum and maximum range. These parameters are utilized in the impact calculation procedure to evaluate a spectrum of potential impacts, including average, minimum, and maximum values. When specifying a range for a value within a CSV file, we format it as follows: value;min;max. Existing data
It is definitely possible that some data are wrong either because of inadvertent errors in the manual process or because data have changed. Feel free to generate an other file that follow the same format.
Yes feel free ! You can also (if possible) add a source row to track where the data come from.
Yes, some mandatory data are hard-coded. You can leave them blank when you are not sure, and I will complete them on your PR. Don't hesitate to ask on a case-by-case basis if you want to understand our assumptions. Regarding power supply, we assume that there are 2 units. I invite you to keep this assumption if you have no information to the contrary. New data I addWhat is important to understand is that the components described in the file correspondent to the all machine/platform (which is equivalent to the metal version of the EC2 type).
RAMFor the ram we need to know both the numer of strip and the capacity of each strip for the platform. What we have usually is the total quantity of RAM for the EC2 metal. In this case, we're looking for a logical distribution of ram strips (the maximal capacity possible between 8 GB, 16GB, 32GB, 128GB). Example : r6g.metal : 512.0 GB ==> 2*128 GB It's very unscientific, but it's the best we can do. Hence the warning "RAM.capacity not verified". Feel free to join our public chat if you wan't to discuss or to launch a synchronous call : https://chat.boavizta.org/signup_user_complete/?id=97a1cpe35by49jdc66ej7ktrjc |
Missing instance have been added in PR #237 |
Bug description
aws.csv is missing around 300 instance types. See this gist.
I would like to help adding the missing instance types, but I can't seem to figure out where the data come from or if there is a script used for adding new types or updating the file. A description of how you normally discover the relevant data for the instance types would be incredibly helpful.
To Reproduce
Expected behavior
That all instance types was in the file.
JSON OUTPUT
Additional context
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