Netdata provides native agents for both Windows and Linux POS systems. The Windows agent monitors OS metrics, IIS, MSSQL, Active Directory, and Windows Event Logs. The Linux agent monitors system metrics, processes, databases, and systemd-journal logs. Both agents collect per-second metrics, run ML anomaly detection locally, and stream to Parents for centralized visibility - all with zero configuration required.

Yes, for infrastructure monitoring. Netdata consolidates metrics collection, log management, ML anomaly detection, alerting, and dashboards into one platform - replacing 4-7 typical tools. However, Netdata does not provide Real User Monitoring (RUM) or session replay for customer-facing applications. For e-commerce sites, pair Netdata (infrastructure) with dedicated RUM tools for complete visibility.

Netdata offers predictable per-node pricing with no charges for metrics volume, logs volume, or users - delivering 90% cost reduction compared to traditional monitoring platforms. There are no surprise bills from usage spikes, and volume discounts are available for larger deployments. Contact sales for specific pricing based on your infrastructure size and requirements.

Yes. Netdata is designed for PCI DSS environments with data sovereignty by default - all metrics and logs stay on-premises. It provides unlimited log retention via systemd-journal (Linux) and Windows Event Logs, encrypted agent-cloud communication, comprehensive audit trails, and security monitoring (eBPF syscalls, failed logins, certificate expiry). However, Netdata does not provide native File Integrity Monitoring (FIM) - integrate external tools like OSSEC or Wazuh for complete PCI DSS coverage.

Typical enterprise deployment: Week 1-2 (pilot 10-20 nodes), Week 3-4 (regional expansion 100-200 nodes), Month 2-3 (full deployment all stores). Install to first dashboard takes under 60 seconds per node via one-line command, Docker, or Kubernetes Helm chart. Use Ansible/Terraform for automated deployment across hundreds of stores. Zero configuration required - auto-discovery detects POS systems, databases, networks, and applications automatically.

Each Netdata Agent operates independently - collecting metrics, running ML, evaluating alerts, and storing data locally even during WAN outages. When connectivity restores, Agents automatically stream buffered data to Parents with zero data loss. This edge-native architecture ensures stores maintain full monitoring capabilities during network partitions, critical for distributed retail operations.

Yes. Netdata includes extensive SNMP support with profiles for major vendors (Cisco, Juniper, Fortinet, Aruba, etc.) for automatic device discovery and metric collection. Monitor interface statistics, bandwidth utilization, error rates, CPU/memory, and device-specific metrics - all with per-second granularity and ML anomaly detection. Advanced support for multi-location retail networks with diverse hardware.

Netdata trains 18 unsupervised k-means models per metric using different time windows. Anomalies are flagged only when ALL 18 models agree (consensus-based detection), achieving 99% false positive reduction in anomaly detection. ML requires approximately 15 minutes of baseline data before first detection. The Anomaly Advisor then correlates thousands of metrics during incidents, surfacing the root cause in the top 30-50 results. Note that ML anomaly detection is an additional signal alongside component-level alerts, not a replacement for alerting.

Yes. Netdata ingests OpenTelemetry metrics and logs via OTLP gRPC endpoints (otel-plugin and otelcol.plugin). This allows instrumented microservices, custom applications, and third-party tools to send telemetry directly to Netdata without custom collectors. OpenTelemetry traces support is planned for Q2 2026. Netdata also supports Prometheus, StatsD, and custom collectors in Go, Python, and Bash.

Yes. Netdata feeds logs, metrics, and alert events to SIEMs via multiple methods: systemd-journal forwarding (journald-upload), syslog integration, webhook notifications, and Prometheus/OpenMetrics export. Netdata is not a SIEM itself but serves as an excellent telemetry producer - providing high-fidelity infrastructure and security data to your existing SIEM for compliance and threat detection.

Agents are complete monitoring systems installed on each node (POS hosts, servers, VMs) - they collect metrics, store data locally, run ML, evaluate alerts, and serve dashboards. Parents are optional centralization points (same software as Agents) that aggregate data from multiple Agents for longer retention and unified dashboards. Cloud is the control plane (SaaS or on-premises) that unifies access across distributed Agents and Parents, provides RBAC, centralizes alert notifications, and enables team collaboration. All observability data stays on Agents/Parents - Cloud stores only metadata.

Netdata’s edge-native architecture scales horizontally - each Agent handles its own load independently. During traffic spikes, Agents continue collecting per-second metrics without performance degradation. Parents can be scaled out (add more Parent clusters) to handle increased streaming volume. The P90 billing methodology excludes daily spikes and top 3 days per month, so seasonal peaks don’t inflate costs. Multi-year retention enables capacity planning based on historical Black Friday/Cyber Monday patterns.

Yes. Netdata Agents run on cloud VMs (EC2, Azure VMs, GCE instances) and monitor cloud-native services via Prometheus/OpenTelemetry integrations. Monitor Kubernetes clusters (EKS, AKS, GKE), managed databases (RDS, Azure SQL), load balancers, and cloud APIs - all with the same per-second granularity and ML anomaly detection as on-premises infrastructure. Unified visibility across hybrid/multi-cloud retail environments.

Netdata offers tiered support: Community (GitHub, Discord, forums), Business (email/ticket support during business hours with SLA), and Enterprise (24/7 availability, dedicated support teams, phone support, custom SLAs). Professional services include implementation assistance, architecture design, migration support, and training programs. Enterprise customers also get priority access to new features and direct engineering escalation paths.