Simple python script I use to speed test CDNs. It’s open sourced under MIT license. The repository is: https://github.com/speedtestdemon/speed-tests and the python script is “test.py”.
The script takes a single input “URL”. Example usage: python3 test.py [https://d20zaq59cm4c4j.cloudfront.net/wp-content/uploads/2021/05/cf.png](https://d20zaq59cm4c4j.cloudfront.net/wp-content/uploads/2021/05/cf.png)\.
The script outputs these things:
- Cold cache, hot cache, and warm cache tests (in that order).
- The response headers for cold cache and warm cache tests. This is important to see the header that reports “Hit”, “Miss”, or “RefreshHit”. It ensures that you’re running the cold cache and warm cache tests correctly.
- The hot cache times are averages of 10 curls.
Unique notes about the CDN Speed Test Script:
Here is an example output of the python script:
\-------------------------------------------------------------
Testing "Cold cache speed"
\-------------------------------------------------------------
Got headers:
HTTP/2 200
content-type: image/png
content-length: 719983
date: Fri, 25 Jun 2021 15:01:17 GMT
last-modified: Mon, 07 Jun 2021 00:16:21 GMT
etag: "52ae2ff2354d4a68e680b77b4da58985"
accept-ranges: bytes
server: AmazonS3
x-cache: Miss from cloudfront
via: 1.1 9e8d1ff1eee770054f1561535ab320b2.cloudfront.net (CloudFront)
x-amz-cf-pop: DFW55-C3
x-amz-cf-id: lQPqV7PnAuwl\_52kDXS2rsC20kSrloThTOG8cN1fK-MHUce0NNIDIA==time\_namelookup: 0.12467000000000000304
time\_connect: 0.02141099999999998560
time\_appconnect: 0.06681200000000001027
time\_pretransfer: 0.00020100000000000673
time\_redirect: 0.00000000000000000000
time\_starttransfer: 1.02790999999999987935
time to download: 1.06810300000000002463
time\_total: 2.30910700000000002063
\-------------------------------------------------------------
Testing "Hot cache speed"
\-------------------------------------------------------------
10 requests done. Average:
time\_namelookup: 0.00173870000000000036
time\_connect: 0.02068409999999999693
time\_appconnect: 0.06124410000000000270
time\_pretransfer: 0.00024639999999999802
time\_redirect: 0.00000000000000000000
time\_starttransfer: 0.03418949999999999767
time to download: 0.21361620000000000608
time\_total: 0.33171899999999998609
\-------------------------------------------------------------
Testing "Warm cache speed"
\-------------------------------------------------------------
Sleeping for 0.5 hr to move cache from hot to warm
Got headers:
HTTP/2 200
content-type: image/png
content-length: 719983
date: Fri, 25 Jun 2021 15:01:17 GMT
last-modified: Mon, 07 Jun 2021 00:16:21 GMT
etag: "52ae2ff2354d4a68e680b77b4da58985"
accept-ranges: bytes
server: AmazonS3
x-cache: Hit from cloudfront
via: 1.1 7c556a1545ad08a01c9e86ad41ac73a1.cloudfront.net (CloudFront)
x-amz-cf-pop: DFW55-C3
x-amz-cf-id: ACpfQ14wbO\_vjjAisApBAJkRphZQ7IbD4Lawc77eo\_K5UM\_3-yWPZw==
age: 1804time\_namelookup: 0.05657399999999999929
time\_connect: 0.02411100000000000743
time\_appconnect: 0.07374400000000000399
time\_pretransfer: 0.00145299999999998208
time\_redirect: 0.00000000000000000000
time\_starttransfer: 0.02921799999999999398
time to download: 0.22752000000000000002
time\_total: 0.41261999999999998678
Test Methodology: how I test CDNs. I use this python script to test CDNs.
Cheat Sheet on Curl Performance Metrics: how to benchmark server latency with curl: explains the curl metrics outputted by the python script.
Jetpack CDN vs Amazon Web Services CloudFront: Jetpack surprisingly faster!, where I analyze Jetpack CDN using the python script.
Cloudinary vs CloudFront: Cloudinary crushes Amazon Web Services!, where I analyze Cloudinary using the python script.
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