ec2-compare

Compare EC2 instances families without querying AWS API

Example:

• Getting on instances suitable for on-demand

>>> import ec2_compare.internal.on_demand
>>> ec2_compare.internal.on_demand.get_instances_dict()[0]['InstanceType']
'm5d.xlarge'

Why it's more memory & CPU efficient

1). ec2-compare

• Memory (penalty 8.1 Mb - 8175616 bytes)

>>>
def getCurrentMemoryUsage():
    ''' Memory usage in Bytes '''
    import psutil
    import os
    process = psutil.Process(os.getpid())
    return process.memory_info().rss
>>> getCurrentMemoryUsage()
9535488
>>> import ec2_compare.ec2data
>>> getCurrentMemoryUsage()
17641472
>>> len(ec2_compare.ec2data.get_instances_dict())
341
>>> getCurrentMemoryUsage()
17711104

• Load time:

>>> import timeit
>>> timeit.timeit('import ec2_compare.ec2data;len(ec2_compare.ec2data.get_instances_dict())', number=1)
0.0028156930000000635
>>> timeit.timeit('import ec2_compare.ec2data;len(ec2_compare.ec2data.get_instances_dict())', number=1)
0.001711632000002794
>>> timeit.timeit('import ec2_compare.ec2data;len(ec2_compare.ec2data.get_instances_dict())', number=1000)
0.8330168470000032
>>> timeit.timeit('import ec2_compare.ec2data;len(ec2_compare.ec2data.get_instances_dict())', number=1000)
0.8174298469999997

2). Reading from json file:

• Memory (penalty 2.5 Mb - 2592768 bytes)

>>> getCurrentMemoryUsage()
9379840
>>> import json
>>> with open("./helpers/aws_ec2.json") as json_file:
...     json.load(json_file)
...
>>> getCurrentMemoryUsage()
11972608

• Load time:

>>> import timeit
>>>
s= '''
import json
with open("./helpers/aws_ec2.json") as json_file:
    json.load(json_file)
'''
timeit.timeit(s, number=1000)
>>
4.628850890999999

Versioning

ec2_compare follows PEP 440.

How to build

python -m pip install -e ./[devel]
# or pip install -e ./[devel]

# Running tests
scripts/tests.sh

Update data Locally

1. Downland the latest info

aws ec2 describe-instance-types | jq '.InstanceTypes' > aws_ec2.json

2. repack

python3 repack.py

Thank you

• https://github.com/actions/ for an awesome github actions
• mypy for doing all dirty work for us