Piperic
similar sites
‹ profile

Sites similar to msmsoft.com

MSMSoft - Advanced engineering for production systems · ranked by shared content topics & relevance
72match
rubelamin.com
Rubel Amin | DevOps Engineer for Hire
2 shared topicscloud-computing
72match
packetandprofit.com
Packet & Profit | Systems Engineering & Finance Tech
2 shared topicstechnology-and-computing
71match
deepteklabs.com
Deepteklabs | Advanced Infrastructure & Software Engineering
2 shared topicscloud-computing
70match
alansiqueira.com
Engineering Lab
2 shared topicstechnology-and-computing
70match
obiesnote.com
M | Senior Systems Engineer
2 shared topicscloud-computing
69match
deepaksahu.dev
Deepak Kumar Sahu | Senior Engineering Manager
2 shared topicscloud-computing
69match
esence.io
esence.io | Tactical Backend Architect & Systems Engineering
2 shared topicstechnology-and-computing
69match
nvastola.com
Noah Vastola – Cloud Engineering & DevOps
2 shared topicscloud-computing
69match
awsmindset.com
DevBlog - Software Engineering & AWS
2 shared topicscloud-computing
69match
afolabiomotoso.com
Afolabi Omotoso | DevOps, SRE, and Platform Engineering
2 shared topicstechnology-and-computing
69match
ericashenden.com
Eric Ashenden | Senior Site Reliability Engineer
2 shared topicscloud-computing
68match
karmananalytics.com
Karman Analytics | Platform Engineering Consulting & Products
2 shared topicscloud-computing
68match
rusty-serverless.com
Rusty Serverless Engineering — Rust Serverless Consulting on AWS
2 shared topicscloud-computing
68match
rusty-serverless-engineering.com
Rusty Serverless Engineering — Rust Serverless Consulting on AWS
2 shared topicscloud-computing
68match
alainbaylosis.com
Alain Baylosis — Senior Systems Engineer
2 shared topicscloud-computing
68match
beteabtefera.com
Beteab Tefera — Software Engineer
2 shared topicscloud-computing
68match
iamrohitmondal.com
Rohit Mondal — DevOps Engineer
2 shared topicstechnology-and-computing
68match
samuelprovost.com
Samuel Provost - DevOps and Cloud Engineer
2 shared topicscloud-computing

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.