Amazon Web Services Inc.’s artificial intelligence-powered assistant Amazon Q Developer is being made available in the popular Amazon OpenSearch Service, providing users with the AI smarts they need to investigate and visualize the operational data of hundreds of applications.

In a blog post today, AWS Senior Solutions Architect Esra Kayabali said Amazon Q Developer will enhance the OpenSearch Service by eliminating the need for knowledge of query languages, visualization tools and alerting features.

In a nutshell, it makes the platform’s more advanced features accessible through natural language commands, so that anyone can perform more sophisticated explorations of their data to surface insights and patterns.

Amazon OpenSearch Service is an extremely valuable tool for companies using the Amazon Elasticsearch Service on AWS. It allows users to search Amazon ES using the OpenSearch standard, querying information through a simple, powerful and flexible application programming interface.

As for Amazon ES, this is Amazon’s flavor of the open-source Elasticsearch tool, which is a distributed database for searching and analyzing large volumes of structured and unstructured data in real time.

Amazon Q Developer, meanwhile, is a generative AI conversational tool that acts like an assistant for AWS users, helping them to navigate its various cloud infrastructure offerings. Customers can use the tool to build, extend and manage their cloud resources and understand what they’re being used for, or seek assistance in setting things up.

Kayabali said the availability of Amazon Q Developer in Amazon OpenSearch Service will enable anyone to perform advanced analytics. In the case of an incident with an application or service that runs on Amazon ES, users will be able to create quick visualizations that can help them to understand what went wrong, and monitor the app more closely so it doesn’t happen again.

So when incidents occur, users will be able to access context on those alerts instantly, helping them to fix the issue faster. It can also be set up to provide instant summaries and insights relating to any alerts directly within the alert interface, so users can understand what’s happening without having to ask a specialist.

Furthermore, it will allow users to search any kind of data that’s indexed in Amazon ES using basic search query syntax, Kayabali said. This includes text-based data, numbers, dates and geospatial data. It can also be used to search different data formats, including JSON and XML data, she said.

“OpenSearch provides a simple and cost-effective way to perform advanced search operations on your data stored in Elasticsearch, it is easy to use, and can be integrated with other AWS services like AWS Lambda, Amazon S3 and Amazon CloudFront,” Kayabali wrote.

As an example, users can create visualizations that break down errors based on dimensions such as the affected region, data center or endpoint. In addition, it can also assist with dashboard configuration and recommend anomaly detectors to deliver proactive alerts, helping improve troubleshooting efficiency.

Amazon Q Developer in OpenSearch Service is available now in the US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Paris) and South America (São Paulo) AWS Regions.

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