Index › Products › AKS Automatic · October 2026 Edition

1 category · Named, not ranked

AKS Automatic

5Judge labels

1First choices

0Negative labels

1 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. AKS Automatic was named 2 times in Managed Kubernetes, where Google Kubernetes Engine led with 43%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business23 of 76

under the label threshold

Mid-market17 of 52

under the label threshold

Enterprise7 of 52

under the label threshold

In managed kubernetes · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named AKS Automatic for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Managed Kubernetes platforms	Cloud and infrastructure	0%	17 of 52	0%	2	under 10 labels · led by Google Kubernetes Engine at 43%

Movement

This is the first edition on this tier, so no move can be computed for AKS Automatic yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated AKS Automatic across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0
GPT-6 Luna	2	2
Muse Glimmer 30B	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct3 labels1

Paraphrase1 labelNone

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative5 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Mostly on Azure / Microsoft: AKS Automatic, which Microsoft recommends as its production-ready default” GPT-6 Luna · Managed Kubernetes · paraphrase prompt · alternative

“Already on Azure: AKS Automatic. Microsoft recommends it as the production-ready default” GPT-6 Luna · Managed Kubernetes · direct prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as AKS Automatic, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AKS Automatic was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Google Kubernetes Engine5 of 54Not among the top eight

Amazon EKS2 of 50Not among the top eight

EKS Auto Mode2 of 50Not among the top eight

Amazon EKS Auto Mode1 of 50Not among the top eight

Azure Kubernetes Service1 of 50Not among the top eight

DigitalOcean Kubernetes1 of 50Not among the top eight

Google Cloud Run1 of 50Not among the top eight

Red Hat OpenShift1 of 50Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named AKS Automatic. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 5 of the 5 answers that named AKS Automatic and are not a share of its labels.

Domains cited

docs.aws.amazon.com5

docs.cloud.google.com5

learn.microsoft.com5

cloud.google.com2

aws.amazon.com1

docs.digitalocean.com1

docs.redhat.com1

No domain is on file for AKS Automatic, so its own site is not marked.

Pages cited

docs.cloud.google.com/kubernetes-engine/docs/concepts/autopilot-overview5

docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html3

learn.microsoft.com/en-us/azure/aks/intro-aks-automatic3

cloud.google.com/kubernetes-engine/pricing2

docs.aws.amazon.com/eks/latest/userguide/automode.html2

learn.microsoft.com/en-us/azure/aks/what-is-aks2

aws.amazon.com/eks/pricing1

docs.cloud.google.com/run/docs/overview/what-is-cloud-run1

Pages are listed as the models cited them.

Follow AKS Automatic

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when AKS Automatic's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as AKS Automatic, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for AKS Automatic by email, built from the raw record of the edition. It shows:

where AKS Automatic is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name AKS Automatic, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.