Recommender API - Module Google::Cloud::Recommender (v1.5.1)

Reference documentation and code samples for the Recommender API module Google::Cloud::Recommender.

Configure the google-cloud-recommender library.

The following configuration parameters are supported:

• credentials (type: String, Hash, Google::Auth::Credentials) - The path to the keyfile as a String, the contents of the keyfile as a Hash, or a Google::Auth::Credentials object.
• lib_name (type: String) - The library name as recorded in instrumentation and logging.
• lib_version (type: String) - The library version as recorded in instrumentation and logging.
• interceptors (type: Array<GRPC::ClientInterceptor>) - An array of interceptors that are run before calls are executed.
• timeout (type: Numeric) - Default timeout in seconds.
• metadata (type: Hash{Symbol=>String}) - Additional headers to be sent with the call.
• retry_policy (type: Hash) - The retry policy. The value is a hash with the following keys:
  • :initial_delay (type: Numeric) - The initial delay in seconds.
  • :max_delay (type: Numeric) - The max delay in seconds.
  • :multiplier (type: Numeric) - The incremental backoff multiplier.
  • :retry_codes (type: Array<String>) - The error codes that should trigger a retry.

Create a new client object for Recommender.

By default, this returns an instance of Google::Cloud::Recommender::V1::Recommender::Client for a gRPC client for version V1 of the API. However, you can specify a different API version by passing it in the version parameter. If the Recommender service is supported by that API version, and the corresponding gem is available, the appropriate versioned client will be returned. You can also specify a different transport by passing :rest or :grpc in the transport parameter.

About Recommender

Provides insights and recommendations for cloud customers for various categories like performance optimization, cost savings, reliability, feature discovery, etc. Insights and recommendations are generated automatically based on analysis of user resources, configuration and monitoring metrics.

value: "1.5.1".freeze