- 2.55.0 (latest)
- 2.54.0
- 2.53.0
- 2.51.0
- 2.50.0
- 2.49.0
- 2.48.0
- 2.47.0
- 2.46.0
- 2.45.0
- 2.44.0
- 2.43.0
- 2.42.0
- 2.41.0
- 2.39.0
- 2.38.0
- 2.37.0
- 2.36.0
- 2.35.0
- 2.34.0
- 2.33.0
- 2.32.0
- 2.31.0
- 2.30.0
- 2.29.0
- 2.26.0
- 2.25.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.7
- 2.4.1
- 2.3.0
- 2.2.0
- 2.1.5
com.google.cloud.recommender.v1
The interfaces provided are listed below, along with usage samples.
RecommenderClient
Service Description: 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.
Sample for RecommenderClient:
try (RecommenderClient recommenderClient = RecommenderClient.create()) {
InsightName name =
InsightName.ofProjectLocationInsightTypeInsightName(
"[PROJECT]", "[LOCATION]", "[INSIGHT_TYPE]", "[INSIGHT]");
Insight response = recommenderClient.getInsight(name);
}
com.google.cloud.recommender.v1.stub
com.google.cloud.recommender.v1beta1
The interfaces provided are listed below, along with usage samples.
RecommenderClient
Service Description: 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.
Sample for RecommenderClient:
try (RecommenderClient recommenderClient = RecommenderClient.create()) {
InsightName name =
InsightName.ofProjectLocationInsightTypeInsightName(
"[PROJECT]", "[LOCATION]", "[INSIGHT_TYPE]", "[INSIGHT]");
Insight response = recommenderClient.getInsight(name);
}