See Every Second of Your VMware Infrastructure

Netdata provides per-second monitoring (vs 20-second minimum for Aria), zero-configuration setup (vs weeks of manual configuration), and predictable per-node pricing. Netdata includes ML anomaly detection, AI troubleshooting (AI conversations included in Business), and logs, with no charges for metrics volume, System Logs Monitoring (querying logs in place), users, data retention or containers. For compliance, Netdata is SOC 2 Type 2 certified, keeps all metrics, logs and traces on your infrastructure, and runs fully on-premises, including air-gapped, with Enterprise On-Prem.

Netdata monitors vCenter, ESXi hosts, VMs, datastores, and networks through the vSphere API collector. It tracks CPU (usage, readiness), memory (usage, ballooning, swapping), disk (latency, throughput, IOPS), and network (bandwidth, packets, errors) with per-second granularity. Note: Netdata does not run natively on ESXi - it monitors VMware remotely via the vSphere API from a Linux, Windows, or macOS host. Additionally, Netdata can monitor the guest OS, containers, applications, and hardware on VMs running supported operating systems.

Installation is a single command. Netdata auto-discovers vSphere, ESXi hosts, VMs, and datastores via the vSphere API without manual configuration. Algorithmic dashboards generate automatically, 1,100+ pre-configured alerts activate immediately, and ML begins training within 15 minutes. For enterprise deployments (1,000+ nodes), the complete 5-step process takes days, not months: design topology (1 day), deploy everywhere (1 day), add credentials (2 hours), review alerts (2 hours), invite teams (2 hours).

Netdata charges predictable per-node pricing for infrastructure monitoring, with no charges for metrics volume, System Logs Monitoring (querying logs in place), users, data retention or containers. See pricing for current plan details. P90 billing excludes brief spikes and top 3 days per month, protecting against autoscaling events. Volume discounts are available for larger deployments. No hidden fees for data retention, API calls, or custom dashboards. Containers monitored by host count as 0 additional nodes.

Netdata’s distributed edge architecture processes data where it’s generated, eliminating centralized bottlenecks. Each Agent uses <5% CPU and 150MB RAM (standalone, ML enabled) while collecting 3,000-20,000 metrics per second. Industry-leading compression (0.6 bytes/sample) keeps per-second detail for the per-second tier, plus per-minute and per-hour tiers for months to years. The University of Amsterdam study (ICSOC 2023) validated Netdata as the most energy-efficient monitoring solution. Netdata benchmark vs Prometheus at 4.6M metrics/sec showed: 37% less CPU, 88% less RAM, 97% less disk I/O.

Yes. Netdata provides unified visibility across on-premises VMware, AWS, Azure, GCP, and Kubernetes through distributed edge architecture. Monitor VMware vSphere alongside AWS EC2, Azure VMs, GCP instances, and Kubernetes pods with per-second Agent metrics, the provider’s resolution for cloud-managed services, and ML anomaly detection everywhere. 800+ integrations cover cloud services, databases, web servers, message queues, and custom applications. Single pane of glass via Netdata Cloud with no centralized data lake.

Netdata trains 18 unsupervised k-means models per metric directly at the edge using 6-hour training windows with 3-hour staggered intervals. Anomalies are flagged only when ALL 18 models agree, achieving 99% false positive reduction (theoretical rate: 10^-36). ML trains automatically within 15 minutes of installation, requires zero configuration, and runs as low-priority background tasks using ~18KB RAM per metric. Anomaly bits are stored with each sample, enabling historical anomaly analysis and powering the Anomaly Advisor correlation engine.

Netdata is SOC 2 Type 2 certified and aligned with GDPR, CCPA, HIPAA (BAAs available), and PCI DSS requirements. The architecture supports compliance through data sovereignty (all metrics, logs and traces stay on your infrastructure), audit logging (systemd audit records, Windows Security logs), and security-first design.

Netdata monitors VMware via the vSphere API from an external agent, so VM migrations via vMotion are transparent - the monitoring agent queries vCenter which tracks VM locations automatically. New VMs, containers, and services are detected within seconds through continuous auto-discovery. Ephemeral containers are monitored throughout their lifecycle with data retained after termination. Dynamic dashboards adapt automatically as infrastructure changes - charts appear when services start and disappear when they stop.

Netdata can replace VMware Aria Operations, vRealize Operations, and third-party tools for infrastructure monitoring, performance analysis, capacity planning, and log management. It provides superior real-time visibility (per-second vs 20-60 seconds), lower costs (90% reduction), and faster troubleshooting (80% MTTR reduction). For distributed tracing, Netdata ingests OpenTelemetry traces over OTLP (gRPC or HTTP) on the same agent that collects your metrics and logs, and you explore them in the Traces tab in Netdata Cloud.

Netdata queries systemd-journal (Linux) and Windows Event Logs (Windows) directly where they exist, eliminating Fluentd/Logstash/Elasticsearch pipelines entirely. Every field in every log entry is automatically indexed by the OS. Full-text search with wildcards fully evaluates the first 500,000 entries of a query, then samples up to 1M (vs 5K for traditional tools). Instant correlation with metrics on the same timeline. System Logs Monitoring (querying logs in place) is not billed, with zero pipeline infrastructure and zero maintenance overhead. Result: 90% cost reduction vs Elasticsearch/Splunk while maintaining complete log visibility.

Community support (free) includes GitHub (80,000+ stars), Discord, and forums. Business support provides email/ticket support during business hours with response SLAs. Enterprise support offers 24/7 availability, dedicated support teams, phone support, custom SLAs, and on-site assistance. All plans include comprehensive documentation (500+ integration guides), OpenAPI specs, video tutorials, and best practices.

Netdata scales linearly from 1 to 100,000+ nodes with no architectural changes. Deploy Parent clusters (2-3 nodes each) for every ~500 monitored nodes, providing active-active high availability and centralized dashboards. Each Parent cluster handles ~2M metrics/second using 20 cores and 80GB RAM. Proven deployments: 1.5M downloads/day, 4.5+ billion metrics/second processed globally, 100% sample completeness at scale. Adding infrastructure doesn’t degrade existing performance - no centralized bottlenecks, no single points of failure.

See the VMware vSphere operations guides: vendor-neutral runbooks for CPU ready and co-stop, memory ballooning and host swapping, datastore latency cliffs, snapshot accumulation, and the vCenter-side failures (expired certificates, full /storage partitions, vpxd crash loops). Each covers detection, diagnosis, and prevention, and shows the per-second host, VM, and datastore signals Netdata surfaces to catch them early.

Yes. Netdata offers a 14-day Business trial with no limit on nodes. The open-source Agent (GPLv3+) is free forever on any number of nodes, with full monitoring capabilities, local dashboards, and community support. Install with a single command, auto-discover your VMware infrastructure, and see per-second dashboards as soon as data is collected. No credit card required for trial. Business plan adds Netdata Cloud for centralized dashboards, AI features (AI conversations included), SSO, RBAC, and premium support.