Unlocking the power of Splunk with Amazon Bedrock – Build AI assistant using agents
AWS Partner Network Blog
The article discusses creating an AI assistant using Amazon Bedrock Agents to interact with Splunk, enabling natural language querying and analysis of AWS logs.
- Leverages Amazon Bedrock and Claude 3.5 Sonnet model to transform natural language into SPL queries
- Supports querying AWS logs like CloudTrail, VPC Flow Logs, and CloudWatch
- Includes specialized action groups for:
- Source type discovery
- Field and lookup identification
- Query execution and result processing
- Uses Amazon OpenSearch Serverless for embeddings and AWS Secrets Manager for credentials
- Provides a Streamlit app for testing AI-powered Splunk queries
The solution aims to simplify complex log analysis by making Splunk querying more intuitive and accessible through generative AI technology.
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