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build 6ddc7a35 | content blog-content@417154f · 338 posts | profiles 32 · corpus 315 | ● 0 skipped | built 2026-10-21 12:35 UTC format run

$ soultec get solution/hpe/hpe-greenlake -o yaml$ soultec get solution/hpe/hpe-greenlake -o json$ soultec get solution/hpe/hpe-greenlake -o toml$ soultec get solution/hpe/hpe-greenlake -o xml$ python3 hpe/hpe-greenlake.pyPS> ./hpe/hpe-greenlake.ps1$ go run hpe/hpe-greenlake.go$ node hpe/hpe-greenlake.js

apiVersion: soultec.ch/v1kind: Solutionmetadata: name: hpe/hpe-greenlake locale: en labels: vendor: HPE GreenLake capability/cloud: 1.92 capability/storage: 2.36 capability/managed-services: 2.65 vendor/hpe: 1.99 annotations: source: src/content/solutions/en/hpe/hpe-greenlake.md route: /en/solutions/hpe/hpe-greenlake/ schema: /nerd/schema/solutions.json markdown: /en/solutions/hpe/hpe-greenlake.mdspec: title: GreenLake tags: [cloud, storage, managed-services] vendors: [hpe] summary: >- Hardware in your own datacentre, billed by what you use. A buffer of capacity sits installed and ready. photoNeed: >- HPE hardware in our hands: a ProLiant or Alletra being racked, cabled, or opened, with the model badge readable stub: false draft: false kind: platform addon: false vendorName: HPE GreenLake status: current practice: >- Draft, not yet reviewed. We often see GreenLake win on predictability: no procurement project for each step of growth. The contract is the demanding part, above all the committed minimum, which is paid even when usage falls below it. practiceReview: true sections: - heading:

What it is

body: | GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. A buffer of capacity sits installed and ready, you pay for what you actually use, and the meter reads monthly. - heading:

What it is for

body: | Data that has to stay in the building for legal or operational reasons, where demand cannot be forecast three years out. The hardware is the same as if you bought it. - heading:

What to watch

body: | A consumption model moves capital expenditure into operating expenditure. The arithmetic works when demand genuinely varies. Under a stable, predictable load, buying is often cheaper, and that calculation belongs before the signature.status: corpus: 315 services: - {ref: services/managed-object-storage, score: 0.54} - {ref: services/service-for-it-provider, score: 0.50} - {ref: services/backup, score: 0.48} - {ref: services/storage, score: 0.47} posts: - {ref: posts/raid-controller, score: 0.54} experts: - {ref: experts/daniel-stadelmann, score: 0.55} - {ref: experts/aldo-gwerder, score: 0.44} - {ref: experts/matthias-frech, score: 0.44} neighbours: - {ref: solutions/hpe, relation: parent} - {ref: solutions/hpe/hpe-dhci, score: 0.50} - {ref: solutions/hpe/hpe-storage/hpe-storeonce, score: 0.48} search: /en/search.json

{ "apiVersion": "soultec.ch/v1", "kind": "Solution", "metadata": { "name": "hpe/hpe-greenlake", "locale": "en", "labels": { "vendor": "HPE GreenLake", "capability/cloud": 1.92, "capability/storage": 2.36, "capability/managed-services": 2.65, "vendor/hpe": 1.99 }, "annotations": { "source": "src/content/solutions/en/hpe/hpe-greenlake.md", "route": "/en/solutions/hpe/hpe-greenlake/", "schema": "/nerd/schema/solutions.json", "markdown": "/en/solutions/hpe/hpe-greenlake.md" } }, "spec": { "title": "GreenLake", "tags": [ "cloud", "storage", "managed-services" ], "vendors": [ "hpe" ], "summary": "Hardware in your own datacentre, billed by what you use. A buffer of capacity sits installed and ready.", "photoNeed": "HPE hardware in our hands: a ProLiant or Alletra being racked, cabled, or opened, with the model badge readable", "stub": false, "draft": false, "kind": "platform", "addon": false, "vendorName": "HPE GreenLake", "status": "current", "practice": "Draft, not yet reviewed. We often see GreenLake win on predictability: no procurement project for each step of growth. The contract is the demanding part, above all the committed minimum, which is paid even when usage falls below it.\n", "practiceReview": true, "sections": [ { "heading": "

What it is

", "body": "GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. A\nbuffer of capacity sits installed and ready, you pay for what you actually use, and the\nmeter reads monthly." }, { "heading": "

What it is for

", "body": "Data that has to stay in the building for legal or operational reasons, where demand\ncannot be forecast three years out.\n\nThe hardware is the same as if you bought it." }, { "heading": "

What to watch

", "body": "A consumption model moves capital expenditure into operating expenditure. The arithmetic\nworks when demand genuinely varies. Under a stable, predictable load, buying is often\ncheaper, and that calculation belongs before the signature." } ] }, "status": { "corpus": 315, "services": [ { "ref": "services/managed-object-storage", "score": "0.54" }, { "ref": "services/service-for-it-provider", "score": "0.50" }, { "ref": "services/backup", "score": "0.48" }, { "ref": "services/storage", "score": "0.47" } ], "posts": [ { "ref": "posts/raid-controller", "score": "0.54" } ], "experts": [ { "ref": "experts/daniel-stadelmann", "score": "0.55" }, { "ref": "experts/aldo-gwerder", "score": "0.44" }, { "ref": "experts/matthias-frech", "score": "0.44" } ], "neighbours": [ { "ref": "solutions/hpe", "relation": "parent" }, { "ref": "solutions/hpe/hpe-dhci", "score": "0.50" }, { "ref": "solutions/hpe/hpe-storage/hpe-storeonce", "score": "0.48" } ], "search": "/en/search.json" }}

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What it is

"body = '''GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. Abuffer of capacity sits installed and ready, you pay for what you actually use, and themeter reads monthly.'''[[spec.sections]]heading = "

What it is for

"body = '''Data that has to stay in the building for legal or operational reasons, where demandcannot be forecast three years out.The hardware is the same as if you bought it.'''[[spec.sections]]heading = "

What to watch

"body = '''A consumption model moves capital expenditure into operating expenditure. The arithmeticworks when demand genuinely varies. Under a stable, predictable load, buying is oftencheaper, and that calculation belongs before the signature.'''[status]corpus = 315search = "/en/search.json"[[status.services]]ref = "services/managed-object-storage"score = "0.54"[[status.services]]ref = "services/service-for-it-provider"score = "0.50"[[status.services]]ref = "services/backup"score = "0.48"[[status.services]]ref = "services/storage"score = "0.47"[[status.posts]]ref = "posts/raid-controller"score = "0.54"[[status.experts]]ref = "experts/daniel-stadelmann"score = "0.55"[[status.experts]]ref = "experts/aldo-gwerder"score = "0.44"[[status.experts]]ref = "experts/matthias-frech"score = "0.44"[[status.neighbours]]ref = "solutions/hpe"relation = "parent"[[status.neighbours]]ref = "solutions/hpe/hpe-dhci"score = "0.50"[[status.neighbours]]ref = "solutions/hpe/hpe-storage/hpe-storeonce"score = "0.48"

<?xml version="1.0" encoding="UTF-8"?><manifest kind="Solution"> <apiVersion>soultec.ch/v1</apiVersion> <metadata> <name>hpe/hpe-greenlake</name> <locale>en</locale> <labels> <vendor>HPE GreenLake</vendor> <entry key="capability/cloud">1.92</entry> <entry key="capability/storage">2.36</entry> <entry key="capability/managed-services">2.65</entry> <entry key="vendor/hpe">1.99</entry> </labels> <annotations> <source>src/content/solutions/en/hpe/hpe-greenlake.md</source> <route>/en/solutions/hpe/hpe-greenlake/</route> <schema>/nerd/schema/solutions.json</schema> <markdown>/en/solutions/hpe/hpe-greenlake.md</markdown> </annotations> </metadata> <spec> <title>GreenLake</title> <tags> <item>cloud</item> <item>storage</item> <item>managed-services</item> </tags> <vendors> <item>hpe</item> </vendors> <summary>Hardware in your own datacentre, billed by what you use. A buffer of capacity sits installed and ready.</summary> <photoNeed>HPE hardware in our hands: a ProLiant or Alletra being racked, cabled, or opened, with the model badge readable</photoNeed> <stub>false</stub> <draft>false</draft> <kind>platform</kind> <addon>false</addon> <vendorName>HPE GreenLake</vendorName> <status>current</status> <practice>Draft, not yet reviewed. We often see GreenLake win on predictability: no procurement project for each step of growth. The contract is the demanding part, above all the committed minimum, which is paid even when usage falls below it. </practice> <practiceReview>true</practiceReview> <sections> <section> <heading>

What it is

</heading> <body>GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. Abuffer of capacity sits installed and ready, you pay for what you actually use, and themeter reads monthly. </body> </section> <section> <heading>

What it is for

</heading> <body>Data that has to stay in the building for legal or operational reasons, where demandcannot be forecast three years out.The hardware is the same as if you bought it. </body> </section> <section> <heading>

What to watch

</heading> <body>A consumption model moves capital expenditure into operating expenditure. The arithmeticworks when demand genuinely varies. Under a stable, predictable load, buying is oftencheaper, and that calculation belongs before the signature. </body> </section> </sections> </spec> <status> <corpus>315</corpus> <services> <item> <ref>services/managed-object-storage</ref> <score>0.54</score> </item> <item> <ref>services/service-for-it-provider</ref> <score>0.50</score> </item> <item> <ref>services/backup</ref> <score>0.48</score> </item> <item> <ref>services/storage</ref> <score>0.47</score> </item> </services> <posts> <item> <ref>posts/raid-controller</ref> <score>0.54</score> </item> </posts> <experts> <item> <ref>experts/daniel-stadelmann</ref> <score>0.55</score> </item> <item> <ref>experts/aldo-gwerder</ref> <score>0.44</score> </item> <item> <ref>experts/matthias-frech</ref> <score>0.44</score> </item> </experts> <neighbours> <item> <ref>solutions/hpe</ref> <relation>parent</relation> </item> <item> <ref>solutions/hpe/hpe-dhci</ref> <score>0.50</score> </item> <item> <ref>solutions/hpe/hpe-storage/hpe-storeonce</ref> <score>0.48</score> </item> </neighbours> <search>/en/search.json</search> </status></manifest>

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What it is

", "body": ( "GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. A\n" "buffer of capacity sits installed and ready, you pay for what you actually use, and the\n" "meter reads monthly." ), }, { "heading": "

What it is for

", "body": ( "Data that has to stay in the building for legal or operational reasons, where demand\n" "cannot be forecast three years out.\n" "\n" "The hardware is the same as if you bought it." ), }, { "heading": "

What to watch

", "body": ( "A consumption model moves capital expenditure into operating expenditure. The arithmetic\n" "works when demand genuinely varies. Under a stable, predictable load, buying is often\n" "cheaper, and that calculation belongs before the signature." ), }, ], }, "status": { "corpus": 315, "services": [ { "ref": "services/managed-object-storage", "score": "0.54", }, { "ref": "services/service-for-it-provider", "score": "0.50", }, { "ref": "services/backup", "score": "0.48", }, { "ref": "services/storage", "score": "0.47", }, ], "posts": [ { "ref": "posts/raid-controller", "score": "0.54", }, ], "experts": [ { "ref": "experts/daniel-stadelmann", "score": "0.55", }, { "ref": "experts/aldo-gwerder", "score": "0.44", }, { "ref": "experts/matthias-frech", "score": "0.44", }, ], "neighbours": [ { "ref": "solutions/hpe", "relation": "parent", }, { "ref": "solutions/hpe/hpe-dhci", "score": "0.50", }, { "ref": "solutions/hpe/hpe-storage/hpe-storeonce", "score": "0.48", }, ], "search": "/en/search.json", },}if __name__ == "__main__": print(json.dumps(PAGE, indent=2, ensure_ascii=False))

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What it is

' body = @'GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. Abuffer of capacity sits installed and ready, you pay for what you actually use, and themeter reads monthly.'@ } [ordered]@{ heading = '

What it is for

' body = @'Data that has to stay in the building for legal or operational reasons, where demandcannot be forecast three years out.The hardware is the same as if you bought it.'@ } [ordered]@{ heading = '

What to watch

' body = @'A consumption model moves capital expenditure into operating expenditure. The arithmeticworks when demand genuinely varies. Under a stable, predictable load, buying is oftencheaper, and that calculation belongs before the signature.'@ } ) } status = [ordered]@{ corpus = 315 services = @( [ordered]@{ ref = 'services/managed-object-storage' score = '0.54' } [ordered]@{ ref = 'services/service-for-it-provider' score = '0.50' } [ordered]@{ ref = 'services/backup' score = '0.48' } [ordered]@{ ref = 'services/storage' score = '0.47' } ) posts = @( [ordered]@{ ref = 'posts/raid-controller' score = '0.54' } ) experts = @( [ordered]@{ ref = 'experts/daniel-stadelmann' score = '0.55' } [ordered]@{ ref = 'experts/aldo-gwerder' score = '0.44' } [ordered]@{ ref = 'experts/matthias-frech' score = '0.44' } ) neighbours = @( [ordered]@{ ref = 'solutions/hpe' relation = 'parent' } [ordered]@{ ref = 'solutions/hpe/hpe-dhci' score = '0.50' } [ordered]@{ ref = 'solutions/hpe/hpe-storage/hpe-storeonce' score = '0.48' } ) search = '/en/search.json' }}$Page | ConvertTo-Json -Depth 32

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What it is

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What it is for

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What to watch

", "body": "A consumption model moves capital expenditure into operating expenditure. The arithmetic\n" + "works when demand genuinely varies. Under a stable, predictable load, buying is often\n" + "cheaper, and that calculation belongs before the signature.", }, }, }, "status": map[string]any{ "corpus": 315, "services": []any{ map[string]any{ "ref": "services/managed-object-storage", "score": "0.54", }, map[string]any{ "ref": "services/service-for-it-provider", "score": "0.50", }, map[string]any{ "ref": "services/backup", "score": "0.48", }, map[string]any{ "ref": "services/storage", "score": "0.47", }, }, "posts": []any{ map[string]any{ "ref": "posts/raid-controller", "score": "0.54", }, }, "experts": []any{ map[string]any{ "ref": "experts/daniel-stadelmann", "score": "0.55", }, map[string]any{ "ref": "experts/aldo-gwerder", "score": "0.44", }, map[string]any{ "ref": "experts/matthias-frech", "score": "0.44", }, }, "neighbours": []any{ map[string]any{ "ref": "solutions/hpe", "relation": "parent", }, map[string]any{ "ref": "solutions/hpe/hpe-dhci", "score": "0.50", }, map[string]any{ "ref": "solutions/hpe/hpe-storage/hpe-storeonce", "score": "0.48", }, }, "search": "/en/search.json", },}func main() { enc := json.NewEncoder(os.Stdout) enc.SetEscapeHTML(false) enc.SetIndent("", " ") if err := enc.Encode(page); err != nil { os.Exit(1) }}

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What it is

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What it is for

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What to watch

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Solution · HPE

GreenLake

The vendor calls it: HPE GreenLake

Hardware in your own datacentre, billed by what you use. A buffer of capacity sits installed and ready.

HPE Gold Partner

Topics Cloud 1.92 Storage 2.36 Managed Services 2.65

Vendors HPE 1.99

04Services

01Posts

03Capabilities

315Corpus

photograph wantedHPE hardware in our hands: a ProLiant or Alletra being racked, cabled, or opened, with the model badge readable

What it is

GreenLake puts HPE infrastructure in your datacentre and bills it by consumption. A buffer of capacity sits installed and ready, you pay for what you actually use, and the meter reads monthly.

What it is for

Data that has to stay in the building for legal or operational reasons, where demand cannot be forecast three years out.

The hardware is the same as if you bought it.

What to watch

A consumption model moves capital expenditure into operating expenditure. The arithmetic works when demand genuinely varies. Under a stable, predictable load, buying is often cheaper, and that calculation belongs before the signature.

What we do with it

Draft, unreviewed

Draft, not yet reviewed. We often see GreenLake win on predictability: no procurement project for each step of growth. The contract is the demanding part, above all the committed minimum, which is paid even when usage falls below it.

This paragraph is a draft and nobody at soulTec has confirmed it yet. Everything above it describes the product and is checkable against the vendor.

Posts about it

RAID controllers

13 Mar 2023

If you have configured an HPE ProLiant server, you have almost certainly met a Smart Array or SmartRAID controller. Since Gen10 there is another option: the MegaRAID controllers.

Storage 2.36