AWS announced today that Amazon Q Developer supports Amazon OpenSearch Service, offering AI-assisted tools to assist you in analyzing and visualizing operational data. By making query languages, visualization tools, and alerting features easier to use, Amazon Q Developer improves the OpenSearch Service AWS experience. By facilitating pattern recognition and natural language exploration, the new features enhance already-existing dashboards and visualizations. You can quickly produce more visualizations to bolster your monitoring infrastructure after accidents. You may spend more time on innovation rather than troubleshooting with this improved approach, which speeds up issue resolution and maximizes the use of technical resources.
By incorporating generative AI and natural language exploration directly into OpenSearch processes, Amazon Q Developer in Amazon OpenSearch Service enhances operational analytics. You can now rapidly obtain context for alarms and log data during incident response, which speeds up analysis and resolution timeframes. Without having to wait for experts or study documentation, Amazon Q Developer helps you rapidly comprehend the situation by providing summaries and insights in the alerts UI when alert monitors are triggered.
After that, you may utilize Amazon Q Developer to examine the underlying data, create natural language visualizations, and spot trends to find the underlying reasons. You can, for instance, make graphs that separate failures according to endpoint, data center, or region. Amazon Q Developer also helps with dashboard setup and suggests anomaly detectors for proactive alerting, which enhances the effectiveness of initial monitoring setup and troubleshooting.
Get started with Amazon Q Developer in OpenSearch Service
It go to my OpenSearch user interface and log in to begin. It select a workspace to test Amazon Q Developer in OpenSearch Service AWS from the home page. you utilize a preconfigured environment with the example logs dataset accessible through the user interface for this presentation.
Through the Amazon Q Developer Free tier, this capability is enabled by default as well. By changing the cluster settings in the console or by unselecting the Enable natural language query generation checkbox in the Artificial Intelligence (AI) and Machine Learning (ML) section when creating a domain, you can turn off the capability.
It use the left navigation pane in OpenSearch Dashboards to go to Discover. It switch to PPL language to display the prompt box so that it can study the data using natural language.
To access the Amazon Q panel, it select the Amazon Q symbol located on the main navigation bar. This panel allows you to produce visualizations using natural language and create suggested anomaly detectors to trigger alerting.
In the text box labeled “Ask a natural language question,” type the following prompt:
Show me a breakdown of HTTP response codes for the last 24 hoursAmazon Q automatically creates a summary of the results as they are displayed. The Amazon Q panel’s Show result summarization option allows you to select whether the summary is displayed or hidden. The summary can be copied to your clipboard using the copy button, and you can give feedback by using the thumbs up or down buttons.
Additional features offered by Amazon Q Developer in OpenSearch Service AWS include the ability to create visualizations straight from natural language descriptions, dialogue support for OpenSearch-related queries, AI-generated summaries and insights for your OpenSearch alerts, data analysis, and the recommendation of relevant anomaly detectors.
Let’s investigate the process of creating visualizations straight from descriptions in natural language. It select the Amazon Q panel’s Generate visualization option. Go inside. In the input area, select Generate to create a bar chart that displays the quantity of requests by HTTP status code.
You may select Edit visual and add style instructions like “Show me a pie chart” or “Use a light gray background with a white grid” to improve the visualization.
Now available
Now, you can utilize Amazon Q Developer in OpenSearch Service AWS to assist teams get more value out of your observability data, decrease mean time to resolution, and enable more self-service troubleshooting.
Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (London), Europe (Paris), South America (São Paulo), and the US East (N. Virginia) and US West (Oregon) AWS Regions are currently offering the service.
