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Ask questions about your production systems in natural language. NOFire is trained to understand service names, time ranges, and technical concepts without requiring specific syntax.
Works in:
  • NOFire MCP Server and your IDE integration
  • NOFire Dashboard (chat interface)
  • NOFire Slack App (@mention the bot)

Time Windows

NOFire always operates in a time window. If you don’t specify one, it defaults to the last 1 hour. How to specify time:
  • Relative: “in the last 30 minutes”, “last 2 hours”, “since yesterday”
  • Absolute: “between 2pm and 3pm today”, “from 9:00 AM to 11:00 AM”
  • Specific moment: “around 3:24 pm ET on April 10”
Time-scoping your prompts ensures NOFire analyzes the correct telemetry data.

Prevent Issues

Catch problems before they become incidents.

Deployment Safety

Alert Coverage

Instrumentation Gaps

Configuration Validation


Quick Insights

Fast access to metrics, logs, and traces for immediate understanding.

Performance & Resources

Logs & Errors

Service Health


Root Cause Analysis

Understand why things broke and what triggered issues.

Service Failures

Change Impact

Configuration Issues


Optimize Costs

Reduce observability spend without losing visibility.

Cost Analysis

Reduce Waste

Retention & Sampling


Analysis Tools

Spans & Traces

For performance bottlenecks and distributed system debugging.

Events & Changes

For change detection and deployments.

Tips for Better Prompts

  1. Be specific about time ranges
    • “in the last 30 minutes”
    • “between 2pm and 3pm today”
  2. Name services naturally
    • “checkout-api” or “checkout api”
    • “recommendation service”
  3. Ask follow-ups in the same thread
    • NOFire maintains context from previous messages
  4. Include symptoms when investigating
    • “why are error rates spiking in payment-service?”
    • “what’s causing slow responses in the API?”
  5. Use specific trace/error IDs when available
    • “explain trace e97f261d4fccfdbfb19be22e5174ab5e”
    • “show me logs for pod frontend-xyz123”