See Who’s Consuming What - Instantly

Netdata’s NIDL framework provides interactive dropdowns on every chart showing real-time statistics (min, avg, max, contribution %, anomaly rate). Click to sort by any metric, filter by any attribute, and group by any dimension - no PromQL, SQL, or custom queries required. The interface is intuitive enough for junior engineers while powerful enough for senior troubleshooters.

Netdata tracks both running and exited processes, accumulating metrics from entire process families. This captures resource usage from short-lived subprocesses that traditional monitoring misses - critical for shell scripts, CI/CD pipelines, and automation jobs. Plus, PSS (Proportional Set Size) memory accounting reveals true memory consumers versus processes merely sharing libraries.

Yes. Deploy Netdata’s DaemonSet and every pod, container, and process appears automatically with full Kubernetes label integration (namespace, pod, deployment). Per-container CPU, memory, I/O, and network metrics reveal resource limit utilization, throttling, and OOM risks - with zero configuration or instrumentation required.

During incidents, highlight any timeframe on any chart (≥15 seconds). Anomaly Advisor analyzes ALL metrics across ALL nodes simultaneously, ranking them by ML-powered relevance. The root cause typically surfaces in the top 30-50 results, revealing cascading failures and blast radius automatically - no manual hunting through thousands of metrics.

Netdata’s Processes function provides browser-based access with the same per-second precision as console tools, plus historical data, ML anomaly detection, and team collaboration. No SSH access required, works through firewalls, and shows what happened during incidents - not just current state. It’s console-quality debugging without infrastructure access.

Most resource issues last seconds, not minutes. A process spiking to 100% CPU for 5 seconds every 30 seconds appears as harmless 17% average in minute-level monitoring. Netdata’s per-second data captures microbursts, transient spikes, and brief resource hogs that averaging hides - revealing the truth, not statistical approximations.

Yes. Netdata automatically correlates from Kubernetes cluster → namespace → pod → container → process → PID. Click any resource spike and see the complete path: which pod, which container, which process category, which specific PID. No context switching between tools, no manual timestamp correlation - just instant visibility.

Netdata’s intelligent grouping prevents time-series explosion while maintaining complete visibility. Track every PID, every container, every dimension without performance degradation or cost penalties. Unlike competitors that force you to choose between granularity and system health, Netdata handles unlimited cardinality transparently.

Everything: unlimited processes, unlimited containers, unlimited metrics, ML anomaly detection, Anomaly Advisor, Processes function, cross-stack correlation, and per-second data collection. No per-metric fees, no feature gating, no surprise bills. Predictable per-node pricing with volume discounts available for larger deployments.

Install Netdata (60 seconds), and all processes, containers, and services appear automatically in generated dashboards. ML training begins immediately, first anomaly detection available in 15 minutes, full ML confidence in 2 days. No configuration, no dashboard building, no query language learning - just instant visibility.

Yes. Netdata complements existing tools through OpenTelemetry support, Prometheus export, and Grafana integration. Use Netdata for real-time top consumer identification and detailed troubleshooting while maintaining your existing observability stack. Visit our integrations page for the complete list.

Netdata’s edge-native architecture processes data locally, eliminating expensive data egress and centralized storage costs. Flat per-node pricing with unlimited metrics delivers 90% cost reduction compared to traditional APM tools that charge based on data volume. No per-metric fees means monitoring every process and container without budget concerns.

Yes. Netdata’s distributed architecture works identically across AWS, Azure, GCP, on-premises, and edge locations. Each agent operates independently while Netdata Cloud provides unified visibility. Monitor top consumers across your entire hybrid infrastructure through a single interface - no per-cloud tools or complex integrations.

None. Netdata is designed for operations teams of all skill levels. Junior engineers get senior-level insights through intuitive interfaces that require zero query language knowledge. Automatic discovery, algorithmic dashboards, and ML-powered prioritization make every team member effective from day one.

Netdata tracks resources from creation to deletion, capturing complete lifecycle metrics even for containers lasting seconds. Accumulated metrics from exited children reveal total resource impact of ephemeral workloads. Historical data shows what happened during incidents, not just current state - critical for dynamic Kubernetes environments.