similar sites

Browse

AI Report Tools

Sites similar to cndmday.com

Cndmday alternatives & similar sites

Kubernetes Korner | Veeam Community Resource Hub — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
debian-kubernetes.org ↗	68 match 2 shared topics	Home \| Debian Kubernetes	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kausality.io ↗	67 match 2 shared topics	GitHub - kausality-io/kausality: Causal traceability for Kubernetes resource mutations · GitHub	en	cloud-computing	robotsllmsaihumans	emailphone	none
danielzarioiu.com ↗	66 match 2 shared topics	Daniel Zarioiu \| DevOps & Cloud Engineer \| Kubernetes, AWS, Keycloak	Italy~ en	cloud-computing	robotsllmsaihumans	emailphone	none
bekkouch.ch ↗	65 match 2 shared topics	Abderrahmane Bekkouch — DevSecOps & Cloud Infrastructure Engineer \| Kubernetes \| Terraform	Switzerland en	cloud-computing	robotsllmsaihumans	emailphone	full · 13
kawsify.com ↗	65 match 2 shared topics	Kawsify \| Expert DevOps, Kubernetes & Cloud Automation	en	cloud-computing	robotsllmsaihumans	emailphone	none
365nexus.com ↗	65 match 2 shared topics	Home – The Cloud Nexus: A Professional Cloud Community - The Cloud Nexus	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
estebangarcia.io ↗	64 match 2 shared topics	The Kube Chronicles: A DevOps Odyssey \| Esteban Garcia blog on DevOps, Kubernetes, and more	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
kedifycloud.com ↗	64 match 2 shared topics	Kedify - Kubernetes Autoscaling that Cuts Cloud Spend 30–40%	en	cloud-computing	robotsllmsaihumans	emailphone	none
kedifyscaleup.com ↗	64 match 2 shared topics	Kedify - Kubernetes Autoscaling that Cuts Cloud Spend 30–40%	en	cloud-computing	robotsllmsaihumans	emailphone	none
kedifyscale.com ↗	64 match 2 shared topics	Kedify - Kubernetes Autoscaling that Cuts Cloud Spend 30–40%	en	cloud-computing	robotsllmsaihumans	emailphone	none
kedifyhq.com ↗	64 match 2 shared topics	Kedify - Kubernetes Autoscaling that Cuts Cloud Spend 30–40%	en	cloud-computing	robotsllmsaihumans	emailphone	none
kedifyplatform.com ↗	64 match 2 shared topics	Kedify - Kubernetes Autoscaling that Cuts Cloud Spend 30–40%	en	cloud-computing	robotsllmsaihumans	emailphone	none
4cloudcomputing.com ↗	64 match 2 shared topics	4CloudComputing -- Cloud Search, Tools, Resources	en	cloud-computing	robotsllmsaihumans	emailphone	none
donker.io ↗	64 match 2 shared topics	Docker Hub Container Image Library \| App Containerization	en	technology-and-computing	robots llmsaihumans	emailphone	partial · 8
hrishi.dev ↗	64 match 2 shared topics	tail -f /home/hrishi/curiosity-and-experience \| Containers and Kubernetes/OpenShift, Distributed systems, Unix/Linux systems, Data structures and algorithms and Cloud computing.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
deshmukhruturaj.tech ↗	64 match 2 shared topics	Ruturaj Deshmukh - DevOps & Cloud Engineer Portfolio \| AWS, Kubernetes, Docker	en	technology-and-computing	robotsllmsaihumans	emailphone	none
software-analytics.co.uk ↗	64 match 2 shared topics	Homepage - Source Code Control	United Kingdom en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
danielstechblog.io ↗	64 match 2 shared topics	Daniel's Tech Blog – Cloud Computing, Cloud Native & Kubernetes	en	cloud-computing WordPress	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.