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ClusterCost | True AWS Cost Visibility for Kubernetes — 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
stoifl.com ↗	66 match 2 shared topics	A little big home lab Kubernetes cluster \| homelab	en	cloud-computing	robotsllmsaihumans	emailphone	none
babulalshaik.com ↗	66 match 2 shared topics	Explore AWS Cloud and Kubernetes Insights and Tutorials \| Cloud Technology	en	cloud-computing	robotsllmsaihumans	emailphone	none
abigail-devops.com ↗	66 match 2 shared topics	AWS + Kubernetes Portfolio	en	cloud-computing	robotsllmsaihumans	emailphone	none
abdulrahmanuk.com ↗	65 match 2 shared topics	Abdul Rahman UK \| Cloud & DevOps – Azure, AWS, Kubernetes	en	technology-and-computing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deshmukhruturaj.tech ↗	65 match 2 shared topics	Ruturaj Deshmukh - DevOps & Cloud Engineer Portfolio \| AWS, Kubernetes, Docker	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ciphergram.io ↗	65 match 2 shared topics	Ciphergram \| AWS Cost Optimization, Serverless & Backend Performance	en	cloud-computing	robotsllmsaihumans	emailphone	none
chaosot.com ↗	64 match 2 shared topics	GetCloud.in – Docker, Kubernetes, Linux & Cloud Tutorials	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	partial · 8
akshayghalme.com ↗	64 match 2 shared topics	Akshay Ghalme — AWS DevOps Engineer \| Cloud Infrastructure, CI/CD, Terraform, Kubernetes	IN~ en	cloud-computing	robotsllmsaihumans	emailphone	full · 18
3xplaa.com ↗	64 match 2 shared topics	3xplaa — Observability primitives for small engineering teams	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
alerthawk.net ↗	64 match 2 shared topics	AlertHawk - Kubernetes Monitoring, Uptime Tracking & Infrastructure Alerts	en	cloud-computing	robotsllmsaihumans	emailphone	none
romacode.com ↗	63 match 2 shared topics	Michael Roma Consulting \| Angular, Kubernetes, .NET Core, Docker Consultant \| romacode.com	en	technology-and-computing	robotsllmsaihumans	emailphone	none
fullstackmon.com ↗	63 match 2 shared topics	FullstackMon \| Dynatrace Implementation & Observability Services	en	technology-and-computing	robotsllmsaihumans	emailphone	none
rosudrag.com ↗	63 match 2 shared topics	Dragos Romario Rosu — Senior Software Engineer \| .NET · Azure · Kubernetes · Spain	en	cloud-computing	robotsllmsaihumans	emailphone	none
ahmedbebars.io ↗	63 match 2 shared topics	Ahmed Bebars \| AWS Container Hero \| Principal Engineer & Cloud Native Ambassador	en	cloud-computing	robotsllmsaihumans	emailphone	none
abhilaash.dev ↗	63 match 2 shared topics	Abhilaash Velamati — SDE at AWS CloudHSM	en	cloud-computing	robotsllmsaihumans	emailphone	none
abishekmosesraj.com ↗	63 match 2 shared topics	Abishek Moses Raj - Tech Lead & AWS Cloud Architect \| Chennai	IN~ en	technology-and-computing	robotsllmsaihumans	emailphone	none
pagerules.io ↗	63 match 2 shared topics	PageRules - Centralized Traffic Rules for Modern Infrastructure	en	cloud-computing	robotsllmsaihumans	emailphone	none
rsergio.com ↗	63 match 2 shared topics	Sergio Romero \| Cloud Solutions Architect \| Expert Site Reliability 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.