Netdata: Monitoring and troubleshooting transformed

List Metrics

Lists available metrics (contexts) with time-aware filtering. Returns metric names matching search patterns, filtered by nodes and time window. Supports full-text search across names, titles, instances, dimensions, and labels.

Get Metrics Details

Gets comprehensive metadata for specific metrics. Returns titles, units, dimensions, instances, labels, and collection status.

List Nodes

Lists all monitored nodes in the infrastructure. Returns node IDs, hostnames, connection status, and parent-child relationships. Use this to discover available nodes before querying metrics or executing functions.

List Functions

Lists all available Netdata functions that can be executed on nodes. Returns function names, descriptions, and execution requirements. Use this to discover what functions are available before executing them.

Get Nodes Details

Gets comprehensive node information including hardware specs, OS details, capabilities, health status, available functions, and monitoring configuration. Essential for understanding node capabilities before executing functions.

Execute Function

Executes live data collection functions on nodes. Common functions: 'processes' (running processes), 'network-connections' (active connections), 'mount-points' (disk mounts), 'systemd-services' (service status). Returns tabular data with filtering and sorting options.

Query Metrics

Queries time-series metrics data with powerful aggregation options. Specify context, time range, and grouping (by dimension, instance, node, or label). Returns data points with statistics and contribution analysis.

Find Correlated Metrics

Finds metrics that changed significantly during an incident by comparing a problem time period with a normal baseline period. Essential for root cause analysis. IMPORTANT: For large infrastructures, use filters (metrics, nodes, instances, dimensions, or labels) to narrow the scope and avoid timeouts.

Find Anomalous Metrics

Finds metrics that were behaving anomalously according to Netdata's ML models. Returns metrics ranked by their anomaly rates (0 to 1, representing 0-100% of time anomalous). IMPORTANT: For large infrastructures, use filters (metrics, nodes, instances, dimensions, or labels) to narrow the scope and avoid timeouts.

Find Unstable Metrics

Finds metrics with the highest variability using coefficient of variation (standard deviation as % of mean). Useful for identifying unstable or fluctuating metrics. IMPORTANT: For large infrastructures, use filters (metrics, nodes, instances, dimensions, or labels) to narrow the scope and avoid timeouts.

List Raised Alerts

List currently active alerts (WARNING and CRITICAL status) across all nodes

List Running Alerts

List all alerts including cleared, undefined, and uninitialized alerts across all nodes

List Alert Transitions

List recent alert state transitions showing how alerts changed over time