Posted On: Mar 5, 2015
We are excited to announce the availability of two new features for HAQM CloudSearch: domain metrics through HAQM CloudWatch and index field statistics.
You can now use HAQM CloudSearch domain metrics to make scaling decisions, troubleshoot issues, and better manage your search clusters. HAQM CloudSearch publishes the following four metrics into HAQM CloudWatch:
- SuccessfulRequests – Number of search requests successfully processed by the search instance
- SearchableDocuments – Number of documents available in the search index
- IndexUtilization – Index storage utilization rate of the search instance
- Partitions – Number of partitions available in the search index
You can start using these metrics today, at no additional cost and in all regions where HAQM CloudSearch is available. If you set alarms on the metrics, you will be billed at standard CloudWatch rates. To learn more about HAQM CloudSearch domain metrics, see Monitoring an HAQM CloudSearch Domain with HAQM CloudWatch in the HAQM CloudSearch Developer Guide.
In addition, you can now get aggregate field statistics along with the search results. With field statistics, you can perform charting and analytics without additional post-processing. This feature gives you functionality similar to the Apache Solr Stats component. Field statistics are available only for facet-enabled numeric fields. You can get the following statistics: count, min, max, mean, missing, stddev, sum, and sumOfSquares. To learn more about index field statistics, see Getting Statistics for Numeric Fields in HAQM CloudSearch in the HAQM CloudSearch Developer Guide.
HAQM CloudSearch is a fully managed service that makes it easy to set up, manage, and scale a search solution for your website or application. To get started, open the AWS Management Console and begin your 30-day free trial. To learn more about recently released features, see the HAQM CloudSearch Developer Guide. Share your thoughts on these and any additional features you'd like to see in the CloudSearch forum. We appreciate your feedback, and we use it to help us prioritize upcoming features.