Analyze un-structured and semi-structured logs generated by websites, mobile devices, servers, sensors, and more for a wide variety of applications such as digital marketing, application monitoring, fraud detection, ad tech, gaming, and IoT. Capture, pre-process, and load log data into Amazon Elasticsearch Service using Amazon Kinesis Firehose, Logstash, or Amazon CloudWatch Logs. You can then search, explore, and visualize the data using Kibana and the Elasticsearch query DSL to gain valuable insights about your users and applications.

Provide your customers with a rich search and navigation experience. Amazon Elasticsearch Service supports faceting, which allows your customers to narrow their search results by value ranges for fields like price, product characteristics, and brands; ability to create advanced search criteria filters; search-as-you-type suggesters; and near real-time index updates. In addition, you can build elasticity into your search application because Amazon Elasticsearch Service provides easy scaling features to accommodate fluctuating query volumes.

Power your application with an easy to use JSON document-oriented storage platform. Amazon Elasticsearch Service provides a simple REST API, fast performance, powerful search capabilities and seamless scalability, so you can build highly performant applications that can store and retrieve billions of documents, with integrated replication across Availability Zones within a region.

Capture activity logs across your customer-facing applications and websites. Use Logstash to push these logs to your Amazon Elasticsearch Service domain. Elasticsearch indexes the data and makes it available for analysis in near real-time (less than one second). You can then use the built-in Kibana plugin to visualize the data and perform operational analyses like identifying outages and problems. With Elasticsearch’s geospatial analysis, you can identify the geographical region where the problem is occurring. Troubleshooting teams can then search the index and perform statistical aggregations to identify root cause and fix issues.

Deliver real-time metrics on digital content and enable authors and marketers to connect with their customers in the most effective way. Stream billions of small messages that are compressed, batched, and delivered to Amazon Elasticsearch Service using Amazon Kinesis Firehose. Once the data is loaded to Amazon Elasticsearch Service, you can aggregate, filter, and process the data, and refresh content performance dashboards in near real-time. For example, Hearst Corporation built a clickstream analytics platform using Amazon Elasticsearch Service, Amazon Kinesis Streams, and Amazon Kinesis Firehose to transmit and process 30 terabytes of data a day from 300+ Hearst websites worldwide. With this platform, Hearst is able to make the entire data stream—from website clicks to aggregated data—available to editors in minutes. Read the case study »