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Microsoft Systems, Cloud and azure professionals – Microsoft System Admins Products Support and configuration — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
lemonbits.com 68 match
2 shared topics
LemonBits - Blogging About Microsoft Teams, Microsoft 365 and SharePoint en cloud-computingWordPress robotsllmsaihumans emailphone none
broadpointtech.com 67 match
2 shared topics
Microsoft Dynamics 365 Implementation and Support | Velosio en cloud-computingWordPressWooCommerce robotsllmsaihumans emailphone none
signature-esystems.com 67 match
2 shared topics
Microsoft Dynamics 365 Implementation and Support | Velosio en cloud-computingWordPressWooCommerce robotsllmsaihumans emailphone none
simondoy.com 66 match
2 shared topics
Doy's Microsoft 365 and Azure Dev Blog | Simon Doy blogs shares knowledge, expertise on Microsoft 365, Microsoft Azure and Business Transformation. en cloud-computingWordPress robotsllmsaihumans emailphone none
brewsystems.com 66 match
2 shared topics
Brew Systems | Liferay and Cloud Engineers en cloud-computing robotsllmsaihumans emailphone none
dmgoodall.co.uk 66 match
2 shared topics
Home | myDevOps - Experienced Agile Leads, Cloud Architects, System Administrators and DevOps Consultants and Practitioners United Kingdom en cloud-computing robotsllmsaihumans emailphone none
365nexus.com 66 match
2 shared topics
Home – The Cloud Nexus: A Professional Cloud Community - The Cloud Nexus en technology-and-computingWordPress robotsllmsaihumans emailphone none
adamgatt.com.au 66 match
2 shared topics
Adam Gatt – Microsoft Azure and Power Platform Enthusiast Australia en technology-and-computingWordPress robotsllmsaihumans emailphone none
deepanshukatara.com 65 match
2 shared topics
Deepanshu Katara | Lead System Engineer & Azure MVP en cloud-computing robotsllmsaihumans emailphone none
leenattress.com 65 match
2 shared topics
Lee Nattress - Cloud Architect & Systems Engineer en technology-and-computing robotsllmsaihumans emailphone none
primecloudlabs.com 65 match
2 shared topics
PrimeCloud Labs — Production DevOps & Cloud Engineering - PrimeCloud Labs en cloud-computing robotsllmsaihumans emailphone none
iambalvinder.com 65 match
2 shared topics
Balvinder | Professional Portfolio en cloud-computing robotsllmsaihumans emailphone none
brazenbytes.com 65 match
2 shared topics
BrazenBytes - Microsoft 365 Solution Experts en cloud-computingWordPressWooCommerce robotsllmsaihumans emailphone none
leelinkoff.com 65 match
2 shared topics
Lee Linkoff | Systems Platform Engineering • AI and LLM Integration • Distributed Systems • Cloud Native Architecture • High Availability & Resilience en technology-and-computing robotsllmsaihumans emailphone none
definitelyalive.com 65 match
2 shared topics
Definitely Alive – Musings of an IT Professional en technology-and-computingWordPress robotsllmsaihumans emailphone none
melcher.dev 64 match
2 shared topics
Melcher.dev - Azure, DevOps, Cloud Architecture and other stuff en cloud-computing robotsllmsaihumans emailphone none
demiliani.com 64 match
2 shared topics
Stefano Demiliani – Taking the Web out of the box: Microsoft Dynamics 365 Business Central, Microsoft Dynamics NAV, Azure, Serverless, Power Platform and all about the Microsoft's technology stack | www.microsoftarchitects.com | www.d365bc.com en cloud-computingWordPress robotsllmsaihumans emailphone none
4cslinux.com 64 match
2 shared topics
4Cs Cloud-Native & Linux - 4Cs - Cloud, Cluster, Container, and Code & Linux Tips and Tricks en cloud-computingWordPress 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:

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.