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Technology

Canonical MAAS

Last fetched

Canonical MAAS is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under deployment, with a published adopter count of 21 hostnames.

Profile

Category
deployment
Broader grouping
it infrastructure, devops
Published adopter count
21

Canonical MAAS is a server provisioning solution designed to automate the deployment of physical servers in data centers. From a business perspective, it enables efficient and rapid allocation of server resources, reducing manual setup time and improving infrastructure scalability and management. It supports numerous hardware types and integrates with cloud and container orchestration platforms to streamline IT operations.

Vendor site: https://canonical.com/maas

Sample adopters

20 hostnames WhisperGraph observed running Canonical MAAS, a sample of the 21 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Canonical MAAS adopters, not of all 21 published adopters. A hostname counts once per network.

Related pages

Pivot from Canonical MAAS into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.