log-dive

You can search logs across CloudWatch, Loki, and Elasticsearch by translating natural language queries into backend-specific syntax like LogQL or Elasticsearch DSL, returning structured summaries for fast root-cause analysis.

Yes, you can use natural language to query CloudWatch logs for incident triage. The system translates your questions into CloudWatch filter patterns, enabling read-only searches without needing to know the exact query syntax.

The best way to correlate logs across multiple backends during an incident is using a unified search interface that translates natural language into backend-specific queries, reducing context switching and speeding up cross-service root-cause analysis.

Yes, you need to configure read-only access for Loki and Elasticsearch before searching logs. The system enforces environment-driven backend configuration with safe defaults to ensure queries do not modify any log data.

Yes, multi-backend log search supports optional live-tail capabilities. You can stream live logs across configured environments while using natural language queries for real-time incident response and monitoring.

A limitation of using natural language queries for post-incident log reviews is that the system operates strictly in read-only mode and relies on environment-driven backend configuration, meaning it cannot mutate data or query unconfigured log sources.