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@pulumi/akamai
Advanced tools
A Pulumi package for creating and managing akamai cloud resources.
The Akamai Resource Provider lets you manage Akamai resources.
This package is available in many languages in the standard packaging formats.
To use from JavaScript or TypeScript in Node.js, install using either npm
:
$ npm install @pulumi/akamai
or yarn
:
$ yarn add @pulumi/akamai
To use from Python, install using pip
:
$ pip install pulumi_akamai
To use from Go, use go get
to grab the latest version of the library
$ go get github.com/pulumi/pulumi-akamai/sdk/v8
To use from .NET, install using dotnet add package
:
$ dotnet add package Pulumi.Akamai
The following configuration options are available
akamai:edgerc
- (Optional) The location of the .edgerc
file containing credentials. Default: $HOME/.edgerc
.akamai:propertySection
- (Optional) The credential section to use for the Property Manager API (PAPI). Default default
.akamai:dnsSection
- (Optional) The credential section to use for the Config DNS API. Default default
.akamai:gtmSection
- (Optional) The credential section to use for the Config GTM API. Default default
.You can also specify credential values using environment variables. Environment variables take precedence over the contents of the .edgerc
file.
Create environment variables in the format:
AKAMAI{_SECTION_NAME}_*
For example, if you specify akamai:propertySection papi
you would set the following ENV variables:
If the section name is default
, you can omit it, instead using:
For further information, please visit the Akamai provider docs or for detailed reference documentation, please visit the API docs.
FAQs
A Pulumi package for creating and managing akamai cloud resources.
The npm package @pulumi/akamai receives a total of 303 weekly downloads. As such, @pulumi/akamai popularity was classified as not popular.
We found that @pulumi/akamai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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