AI Insights

From hours of debugging to minutes of clarity - AI Insights transforms your infrastructure monitoring data into professional reports that explain what happened, why it happened, and what to do about it.

The Challenge AI Insights Solves

Traditional monitoring requires you to manually query metrics, correlate data, and build dashboards during incidents - all while the clock is ticking. Even experienced engineers struggle with:

• Learning complex query languages (PromQL, SQL) just to ask basic questions
• Building custom dashboards during incidents instead of fixing problems
• Correlating metrics across multiple systems to find root causes
• Translating technical metrics into business impact for stakeholders
• Spending hours on post-incident analysis and reporting

AI Insights eliminates these barriers by automatically analyzing your infrastructure and delivering comprehensive reports that provide both executive summaries and technical deep-dives.

Why AI Insights Transforms Operations

• No query languages needed - Skip the learning curve of PromQL, SQL, or custom dashboards
• AI with SRE expertise - Get analysis from an AI trained to think like a senior engineer
• Root cause, not symptoms - Understand the cascade of issues, not just surface metrics
• Business context included - Reports explain technical issues in terms of business impact
• Collaborative by design - Share professional PDFs with stakeholders who need answers, not dashboards
• Powered by Netdata's ML - Leverages anomaly scores from ML models trained on every metric
• Zero configuration needed - Works immediately with your existing Netdata deployment

Four Specialized Report Types

Infrastructure Summary

Your automated health check and incident analyst

Perfect for Monday morning reviews, post-incident analysis, or executive updates. This report provides:

• Complete system health assessment with prioritized issues
• Timeline of incidents and their business impact
• Critical alerts analysis with resolution recommendations
• Top 3 actionable items to improve infrastructure health
• Performance trends across all key metrics

Use cases: Weekend incident recovery, executive briefings, team handoffs, regular health checks

Capacity Planning

Stop guessing future needs - get data-driven projections

Make informed decisions about infrastructure investments with reports that include:

• Resource utilization trends and growth patterns
• Predicted capacity exhaustion dates for critical resources
• Specific hardware recommendations based on usage patterns
• Cost optimization opportunities
• Projections for 3 months to 2 years ahead

Use cases: Quarterly planning, budget justification, infrastructure roadmaps, vendor negotiations

Performance Optimization

Find and fix bottlenecks before users complain

Identify inefficiencies and optimization opportunities with:

• Bottleneck analysis across application, database, network, and storage
• Resource contention patterns and their impact
• Specific tuning recommendations with expected improvements
• Prioritized list of optimizations by potential impact
• Before/after projections for recommended changes

Use cases: Performance audits, system tuning, SRE optimization projects, efficiency improvements

Anomaly Analysis

Post-incident forensics made simple

Understand unusual patterns and prevent future issues with:

• ML-detected anomalies with severity scoring
• Root cause analysis showing how issues cascaded
• Timeline reconstruction of anomaly propagation
• Correlation between different system anomalies
• Recommendations to prevent recurrence

Use cases: Post-mortems, proactive issue detection, system behavior analysis, troubleshooting

Customize Reports to Your Needs

Each report type offers flexible customization options for content and analysis scope (note: report structure and visual style are standardized for consistency):

Time Period Selection

• Infrastructure Summary: Last 24 hours, 48 hours, 7 days, or month
• Capacity Planning: Forecast for 3 months, 6 months, 1 year, or 2 years
• Performance Optimization: Last 24 hours, 7 days, month, or quarter
• Anomaly Analysis: Last 6 hours, 12 hours, 24 hours, or 7 days

Scope and Filtering

• Node Selection: Analyze specific servers or your entire infrastructure
• Metric Categories: Focus on CPU, Memory, Disk, Network, or Applications
• Resource Types: Target Compute, Storage, Network, or Database resources
• Focus Areas: Drill into specific performance domains
• Anomaly Thresholds: Set sensitivity levels (10%, 20%, or 30%)

How AI Insights Works

1. Intelligent Data Collection

When you request a report, AI Insights:

• Gathers relevant metrics from your selected time period and nodes
• Collects active alerts and their severity levels
• Retrieves ML-detected anomalies and their scores
• Maps system relationships and dependencies
• Compiles process and application performance data

2. AI-Powered Analysis

The collected data is analyzed by Anthropic's Claude 3.7 Sonnet model, optimized for infrastructure telemetry analysis using SRE methodologies. This AI model:

• Applies SRE-level expertise to identify patterns
• Correlates issues across different systems
• Determines root causes vs symptoms
• Prioritizes findings by business impact
• Generates actionable recommendations

3. Professional Report Generation

Within 2-3 minutes, you receive:

• Structured content: Headers, insights, charts, and tables in logical flow
• Embedded visualizations: Charts generated from your actual metrics
• Executive summary: High-level findings for stakeholders
• Technical details: Deep-dive analysis for engineers
• Action items: Prioritized recommendations with clear next steps
• PDF format: Professional reports ready for sharing

4. Security and Privacy

• In-memory processing: Data analyzed then immediately discarded
• No training data: Your infrastructure data is never used for model training
• Secure API: All communications encrypted end-to-end
• Access controlled: Respects your existing Netdata permissions

Real-World Impact

From the Inrento fintech case study:

"AI Insights provided significant time savings in identifying and resolving issues. It drastically reduced the time spent identifying problems and implementing solutions, leading to enhanced productivity and performance with minimized downtime." Teams report that incident analysis that previously took hours of manual investigation now completes in minutes with AI Insights.

Perfect For

• Incident post-mortems: Generate comprehensive analysis in minutes, not hours
• Executive briefings: Professional PDFs with clear summaries and visualizations
• Capacity reviews: Data-driven planning for budget and resource allocation
• Performance audits: Regular health checks without manual analysis
• Team handoffs: Share context-rich reports instead of dashboard links
• Compliance reporting: Document infrastructure state and changes
• Vendor discussions: Data-backed evidence for infrastructure decisions

Unlike Traditional Monitoring

AI Insights represents a paradigm shift in infrastructure monitoring:

Traditional Monitoring	AI Insights
Build dashboards during incidents	Get instant analysis
Learn query languages	Use natural language selection
Manual correlation across metrics	Automatic relationship detection
Raw metrics without context	Narrative explanations with context
Technical data only	Business impact included
Hours of manual analysis	2-3 minute automated reports

What Sets AI Insights Apart

Unlike traditional AI monitoring assistants that require extensive configuration or operate as black-box cloud services, AI Insights:

• Runs entirely on your infrastructure - No external dependencies or mysterious cloud processing
• Uses your actual data - Not generic patterns or industry averages
• Provides transparent analysis - Clear reasoning, not black-box decisions
• Respects your security - Data never leaves your control
• Works instantly - No training period or configuration required

Getting Started

1. Access AI Insights from the Netdata Cloud navigation menu
2. Select a report type based on your current need
3. Customize parameters like time period and node selection
4. Generate report and receive it within 2-3 minutes
5. Share or download the PDF for stakeholders

Technical Requirements

• Active Netdata Cloud account
• At least one connected Netdata Agent
• Historical data (minimum 24 hours recommended)
• No additional configuration needed

Frequently Asked Questions

Q: How far back can AI Insights analyze data? A: AI Insights can analyze any data retained by your Netdata agents, from 6 hours to 2 years depending on the report type and your retention settings.

Q: Can I schedule regular reports? A: Currently reports are generated on-demand. Scheduled reports are on the roadmap.

Q: What metrics are included in the analysis? A: AI Insights analyzes all metrics collected by your Netdata agents, including system metrics, application metrics, and custom collectors.

Q: How does it handle sensitive data? A: All data is processed securely and discarded after report generation. No data is stored or used for training.

Q: Can I customize the report format? A: Report structure and visual style are standardized for consistency and professional presentation. However, you have extensive control over the analysis scope, time periods, metrics, and focus areas through customization parameters.

What's Next

AI Insights continues to evolve with new capabilities planned:

• Scheduled report generation
• Custom report templates
• API access for automation
• Integration with ticketing systems
• Comparative analysis between time periods

Experience the future of infrastructure monitoring - transform your data into intelligence with AI Insights.