亚马逊推出了Amazon Q Developer，为Amazon OpenSearch Service提供支持，旨在通过人工智能辅助功能增强运维分析。该服务简化了查询语言、可视化工具和告警功能的学习曲线，帮助用户快速分析和解决问题。利用自然语言探索和生成式AI能力，用户可以更快地获取警报上下文，构建可视化图表，并识别根本原因。Amazon Q Developer通过改善监控设置和故障排除效率，使工程师能够专注于创新，从而优化资源使用。

💡Amazon Q Developer通过集成自然语言探索和生成式AI功能，增强了Amazon OpenSearch Service的运维分析能力。

📊用户可以使用自然语言快速获取警报和日志数据的上下文，加快分析和解决问题的时间。

📈Amazon Q Developer能够直接从自然语言描述中生成可视化，例如根据HTTP状态码创建条形图。

⚙️它还提供对话式帮助，用于OpenSearch相关查询，并为OpenSearch警报提供AI生成的摘要和见解。

<section class="blog-post-content lb-rtxt"><table id="amazon-polly-audio-table"><tbody><tr><td id="amazon-polly-audio-tab"><p></p></td></tr></tbody></table><p>Today, I’m happy to announce <a href="https://aws.amazon.com/q/developer/&quot;&gt;Amazon Q Developer</a> support for <a href="https://aws.amazon.com/opensearch-service/&quot;&gt;Amazon OpenSearch Service</a>, providing AI-assisted capabilities to help you investigate and visualize operational data. Amazon Q Developer enhances the OpenSearch Service experience by reducing the learning curve for query languages, visualization tools, and alerting features. The new capabilities complement existing dashboards and visualizations by enabling natural language exploration and pattern detection. After incidents, you can rapidly create additional visualizations to strengthen your monitoring infrastructure. This enhanced workflow accelerates incident resolution and optimizes engineering resource usage, helping you focus more time on innovation rather than troubleshooting.</p><p>Amazon Q Developer in Amazon OpenSearch Service improves operational analytics by integrating natural language exploration and generative AI capabilities directly into OpenSearch workflows. During incident response, you can now quickly gain context on alerts and log data, leading to faster analysis and resolution times. When alert monitors trigger, Amazon Q Developer provides summaries and insights directly in the alerts interface, helping you understand the situation quickly without waiting for specialists or consulting documentation. From there, you can use Amazon Q Developer to explore the underlying data, build visualizations using natural language, and identify patterns to determine root causes. For example, you can create visualizations that break down errors by dimensions such as Region, data center, or endpoint. Additionally, Amazon Q Developer assists with dashboard configuration and recommends anomaly detectors for proactive alerting, improving both initial monitoring setup and troubleshooting efficiency.</p><p><strong>Get started with Amazon Q Developer in OpenSearch Service<br /></strong> To get started, I go to my <a href="https://docs.aws.amazon.com/opensearch-service/latest/developerguide/application.html&quot;&gt;OpenSearch user interface</a> and sign in. From the home page, I choose a workspace to test Amazon Q Developer in OpenSearch Service. For this demonstration, I use a preconfigured environment with the sample logs dataset available on the user interface.</p><p>This feature is on by default through the <a href="https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/q-free-tier.html&quot;&gt;Amazon Q Developer Free tier</a>, which is also on by default. You can disable the feature by unselecting the <strong>Enable natural language query generation</strong> checkbox under the <strong>Artificial Intelligence (AI) and Machine Learning (ML)</strong> section during domain creation or by editing the cluster configuration in console.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/24/LM1262-0.png&quot;&gt;&lt;img class="alignnone size-full wp-image-94631" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/24/LM1262-0.png&quot; alt="" width="3032" height="1562" /></a></p><p>In OpenSearch Dashboards, I navigate to <strong>Discover</strong> from the left navigation pane. To use natural language to explore the data, I switch to <strong>PPL</strong> language in order to show the prompt box.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-0ac.png&quot;&gt;&lt;img class="alignnone size-full wp-image-94757" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-0ac.png&quot; alt="" width="3032" height="1144" /></a></p><p>I choose the <strong>Amazon Q</strong> icon in the main navigation bar to open the Amazon Q panel. You can use this panel to create recommended anomaly detectors to drive alerting and use natural language to generate visualization.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-1b.png&quot;&gt;&lt;img class="alignnone size-full wp-image-94758" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-1b.png&quot; alt="" width="3032" height="1242" /></a></p><p>I enter the following prompt in the <strong>Ask a natural language question</strong> text box:</p><p><code>Show me a breakdown of HTTP response codes for the last 24 hours</code></p><p>When results appear, Amazon Q automatically generates a summary of these results. You can control the summary display using the <strong>Show result summarization</strong> option under the Amazon Q panel to hide or show the summary. You can use the thumbs up or thumbs down buttons to provide feedback, and you can copy the summary to your clipboard using the copy button.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-2c.png&quot;&gt;&lt;img class="alignnone size-full wp-image-94763" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-2c.png&quot; alt="" width="3032" height="1722" /></a></p><p>Other capabilities of Amazon Q Developer in OpenSearch Service are generating visualizations directly from natural language descriptions, providing conversational assistance for OpenSearch related queries, providing AI-generated summaries and insights for your OpenSearch alerts, and analyzing your data, and suggesting appropriate anomaly detectors.</p><p>Let’s look into how to generate visualizations directly from natural language descriptions. I choose <strong>Generate visualization</strong> from <strong>Amazon Q</strong> panel. I enter <code>Create a bar chart showing the number of requests by HTTP status code</code> in the input field and choose generate.</p><p>To refine the visualization, you can choose <strong>Edit visual</strong> and add style instructions such as <code>Show me a pie chart</code> or <code>Use a light gray background with a white grid</code>.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-3a.png&quot;&gt;&lt;img class="alignnone size-full wp-image-94761" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/03/27/LM1262-3a.png&quot; alt="" width="3032" height="1722" /></a></p><p><strong>Now available</strong><br />You can now use Amazon Q Developer in OpenSearch Service to reduce mean time to resolution, enable more self-service troubleshooting, and help teams extract greater value from your observability data.</p><p>The service is available today in 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.</p><p>To learn more, visit the <a href="https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/what-is.html?p=qdev&amp;amp;z=subnav&amp;amp;loc=8&amp;amp;refid=4419f21f-712b-4d2c-bf4e-aa3d6aaad81a&quot;&gt;Amazon Q Developer documentation</a> and start using Amazon Q Developer in your OpenSearch Service domain today.</p><a href="https://www.linkedin.com/in/esrakayabali/&quot;&gt;— Esra</a><hr /><p>How is the News Blog doing? Take this <a href="https://amazonmr.au1.qualtrics.com/jfe/form/SV_eyD5tC5xNGCdCmi&quot;&gt;1 minute survey</a>!</p><p><em>(This <a href="https://amazonmr.au1.qualtrics.com/jfe/form/SV_eyD5tC5xNGCdCmi&quot;&gt;survey&lt;/a&gt; is hosted by an external company. AWS handles your information as described in the <a href="https://aws.amazon.com/privacy/&quot;&gt;AWS Privacy Notice</a>. AWS will own the data gathered via this survey and will not share the information collected with survey respondents.)</em></p></section><aside id="Comments" class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="a329cf56-e05d-4270-bbf6-83df529da42a" data-title="Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service" data-url="https://aws.amazon.com/blogs/aws/accelerate-operational-analytics-with-amazon-q-developer-in-amazon-opensearch-service/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>