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Mark Bennett | Experienced leader in platform engineering, specializing in cloud transformations, observability, and building developer-focused 'Golden-Path' solutions to drive efficiency, scalability, and innovation. — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Cloud Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
globaleginnovations.com ↗	68 match 2 shared topics	IT Monitoring & Observability Solutions \| eG Innovations	United States~ en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
go-infra.cloud ↗	67 match 2 shared topics	Sergio Peralta — Platform Engineering & Cloud Infrastructure	en	cloud-computing	robotsllmsaihumans	emailphone	none
keyuanzhang.com ↗	67 match 2 shared topics	Knowledge, Experience and Learning – Cloud Computing, IoT and Embedded System	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
thedevopslife.com ↗	67 match 2 shared topics	Cloud and DevOps Solutions for Digital Transformation \| A-Dev	en	cloud-computing WordPress	robotsllmsaihumans	emailphone	none
kazakov.xyz ↗	67 match 2 shared topics	Kirill Kazakov — DevOps & Platform Engineering	en	cloud-computing	robotsllmsaihumans	emailphone	none
aaronfagan.net ↗	66 match 2 shared topics	Aaron Fagan \| Cloud Infrastructure, DevOps, and Platform Engineering	en	cloud-computing	robotsllmsaihumans	emailphone	none
aaronfagan.org ↗	66 match 2 shared topics	Aaron Fagan \| Cloud Infrastructure, DevOps, and Platform Engineering	en	cloud-computing	robotsllmsaihumans	emailphone	none
moncho.cloud ↗	66 match 2 shared topics	moncho.cloud - Moncho Pena - Engineering Leader \| Distributed Systems, Fintech & Scalable Platforms. Writing about Kubernetes, Node.js, DevOps, fintech, and open-source technologies.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
memis.cloud ↗	66 match 2 shared topics	Memis Cetinkaya \| DevOps & Platform Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
khanalsamir.com ↗	66 match 2 shared topics	Samir Khanal \| DevOps Engineer & Cloud Specialist	NP~ en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
mizumoto.tech ↗	66 match 2 shared topics	Mizumoto Tech \| GCP reliability engineering for handover-ready cloud foundations	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
kirangarudofficial.com ↗	66 match 2 shared topics	Kiran Garud \| DevOps & Platform Engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none
justme.ovh ↗	66 match 2 shared topics	Luis Octavio \| Platform Engineer & Cloud Architect in Madrid	en	cloud-computing	robotsllmsaihumans	emailphone	none
agiledev.pro ↗	66 match 2 shared topics	Popica Aurel Cosmin \| Enterprise Automation Engineer \| RPA, ERP, AI & Power Platform Expert	en	cloud-computing	robotsllmsaihumans	emailphone	none
vouk.dev ↗	66 match 2 shared topics	Alaksiej Voŭk \| Senior DevOps Engineer & Infrastructure Expert	en	technology-and-computing	robotsllmsaihumans	emailphone	none
adrianscale.dev ↗	66 match 2 shared topics	Scalable Solutions \| Engineering Documentation	en	cloud-computing	robotsllmsaihumans	emailphone	none
adutta.top ↗	66 match 2 shared topics	Avinaba Dutta - AWS DevOps Engineer & System Engineer \| Cloud Infrastructure Expert	en	cloud-computing	robotsllmsaihumans	email phone	none
2-dglasses.com ↗	66 match 2 shared topics	Bert Johnson \| Full-stack developer and multi-cloud engineer	en	cloud-computing	robotsllmsaihumans	emailphone	none

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:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

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.