CloudWatch Simplifies Data Exploration with Natural Language Queries for OpenSearch
Seattle, WA – August 1, 2025 – Amazon Web Services (AWS) today announced a significant enhancement to Amazon CloudWatch Logs, empowering users to interact with their OpenSearch data using natural language. This new feature allows customers to generate queries for both OpenSearch Processing Language (PPL) and SQL directly from plain English descriptions, dramatically simplifying the process of data exploration and analysis.
Historically, querying large datasets within OpenSearch, particularly for log analysis and observability, required a deep understanding of complex query languages. This often presented a barrier for many users who needed to quickly extract insights from their operational data. The introduction of natural language query generation addresses this challenge head-on, democratizing access to critical information within CloudWatch Logs.
Key Benefits and Functionality:
- Intuitive Data Access: Users can now simply type in what they are looking for in plain English. For example, instead of constructing a detailed PPL or SQL query, a user might simply ask, “Show me the average response time for all requests in the last hour” or “List all errors from the
auth-servicein the past 24 hours.” CloudWatch will then intelligently translate these requests into the appropriate PPL or SQL syntax for OpenSearch. - Increased Productivity: By abstracting away the complexities of query language syntax, this feature significantly reduces the time and effort required to retrieve data. This allows engineers, developers, and operations teams to focus more on analysis and problem-solving, rather than on query construction.
- Broader User Adoption: The natural language interface makes OpenSearch data accessible to a wider audience, including those who may not have extensive experience with query languages. This fosters a more collaborative environment where insights can be shared and understood more easily across different teams.
- Seamless Integration: The natural language query generation is deeply integrated within the Amazon CloudWatch Logs console, providing a cohesive and user-friendly experience for managing and analyzing logs. Users can continue to leverage all the existing benefits of CloudWatch Logs while benefiting from this powerful new capability.
- Support for PPL and SQL: The feature provides robust support for both OpenSearch Processing Language (PPL) and SQL, catering to the diverse needs and preferences of customers who may be accustomed to one or both query languages.
“We are constantly striving to make it easier for our customers to gain actionable insights from their operational data,” said [Insert Fictional AWS Spokesperson Name and Title, e.g., Sarah Chen, Senior Product Manager for Amazon CloudWatch]. “With the ability to query OpenSearch using natural language, we’re removing a significant hurdle for many users. This enhancement empowers teams to get the answers they need faster, leading to improved system performance, quicker issue resolution, and a more proactive approach to observability.”
This new capability is expected to be particularly valuable for organizations leveraging Amazon OpenSearch Service for log aggregation, application performance monitoring, and security analytics. By lowering the barrier to entry for data exploration, CloudWatch is further solidifying its position as a comprehensive and accessible solution for cloud monitoring and observability.
The natural language query generation feature is now available for all Amazon CloudWatch Logs customers using OpenSearch as a data source.
About Amazon Web Services:
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to lower costs, become more agile, and innovate faster.
Amazon CloudWatch launches natural language query generation for OpenSearch PPL and SQL
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