Overview
When you encounter an error event in your logs, BrontoScope can:- Analyze the event across multiple dimensions
- Correlate signals from logs, services, and infrastructure
- Identify patterns and anomalies
- Generate a clear, actionable report
How It Works
- Navigate to your logs and locate an error event
- Click the event to open the event panel
- Select Investigate with AI
- BrontoScope automatically runs a multi-step analysis
- Review the generated report and supporting data
What BrontoScope Analyzes
1. Problem Scope
BrontoScope determines the full impact of the error, including:- When the issue started
- Whether the issue is ongoing or resolved
- Affected:
- Users
- Services
- Hosts
- Regions (if applicable)
2. Likely Causes
The AI evaluates patterns and correlations to suggest potential root causes, such as:- Network instability or latency spikes
- Sudden traffic increases or load imbalance
- Recent deployments or configuration changes
- Application-level bugs or exceptions
3. Recommended Next Steps
BrontoScope provides actionable guidance to move forward, including:- Suggested queries to run
- Services or systems to inspect
- Metrics to validate
- Additional logs or time windows to review
4. Supporting Evidence
Every conclusion is backed by transparent data:- Underlying queries executed by the AI
- Relevant log samples
- Generated charts and trends
- Time-based comparisons
Key Benefits
No Prompt Required
BrontoScope requires zero input from the user. It:- Understands the context of the selected error
- Determines relevant queries automatically
- Executes a full investigation workflow
Fast Time to Insight
- Results delivered in under 10 seconds
- Eliminates manual querying and correlation
- Reduces mean time to detection (MTTD) and resolution (MTTR)
Explainable AI
Unlike black-box systems, BrontoScope shows:- How conclusions were reached
- What data was used
- Which queries were executed
When to Use BrontoScope
Use BrontoScope whenever you:- Encounter a new or unfamiliar error
- Need to quickly assess impact
- Want to validate whether an issue is widespread
- Are debugging production incidents
- Need a starting point for deeper investigation
Best Practices
- Start with the first occurrence of an error for cleaner insights
- Compare multiple investigations if the issue evolves over time
- Use the generated queries to drill deeper into specific hypotheses
- Combine with dashboards and alerts for full observability coverage
Limitations
- Results depend on available log and telemetry data
- AI-generated causes are probabilistic, not guaranteed root causes
- Complex multi-system failures may require further manual investigation
Summary
BrontoScope transforms error investigation from a manual, time-consuming process into an instant, AI-driven workflow. By combining automated analysis, clear explanations, and actionable insights, it enables teams to:- Detect issues faster
- Understand impact immediately
- Resolve incidents more efficiently

