Sold by: Netdata
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Real-time observability for AWS: per-second metrics, unsupervised ML anomaly detection on every metric, and Netdata AI for troubleshooting, investigations, and reports. Includes network monitoring with live topology, NetFlow and sFlow analysis, and SNMP devices and traps. Deploys in minutes with 850+ auto-discovered integrations.
4.6
Overview
Netdata is a real-time observability platform for systems, containers, applications, logs, and network devices. One command installs the agent; it auto-discovers what is running, builds per-second dashboards for every metric, and applies pre-configured alerts. An EC2 fleet or EKS cluster is fully monitored within minutes, with 850+ integrations covering operating systems, Kubernetes, databases, web servers, message brokers, and AWS services. Netdata AI: Unsupervised ML models train on every metric at the edge, scoring anomalies in real time with no configuration. AI Insights turns that telemetry into scheduled or on-demand reports (infrastructure summary, capacity planning, performance optimization, anomaly analysis) delivered as shareable PDFs. Every alert carries a one-click AI investigation that returns a root-cause hypothesis with supporting evidence, and Real-Time Conversations let you troubleshoot interactively, with live charts, tables, and logs embedded in the chat. You can also describe an alert in plain English and Netdata AI generates the configuration and back-tests it against your historical data. Bring your own AI: Every Netdata Agent and Parent includes a built-in MCP server (free and open source), and Netdata Cloud exposes an infrastructure-wide MCP endpoint. Connect Claude, ChatGPT, Gemini, Claude Code, Codex, or Cursor and ask questions like "what changed before this incident?" against live metrics, logs, anomalies, and alerts. Network monitoring: Live topology maps are built inside the agent from LLDP, CDP, BGP, and OSPF, alongside the live TCP/UDP connections between processes and containers. The NetFlow analyzer ingests NetFlow v5/v7/v9, IPFIX, and sFlow v5, with top talkers, Sankey diagrams, and geographic traffic maps. SNMP device monitoring auto-discovers switches, routers, and firewalls across 200+ vendor profiles (SNMPv1/v2c/v3), and a built-in trap receiver decodes 150,000+ trap definitions from 800+ vendors into readable, severity-tagged events. All of it lands in a dedicated Network Monitor dashboard, correlated with the rest of your infrastructure on the same per-second timeline. Logs without pipelines: Netdata queries systemd-journal on Linux and the Event Log on Windows directly. No log shipping, no search cluster to operate, no ingestion fees. Architecture and cost: Metrics are stored and processed on your infrastructure; only views stream to Netdata Cloud. Your observability data never leaves your environment, egress charges disappear, and scaling is linear from one node to hundreds of thousands. The agent supports eBPF and OpenTelemetry (OTLP) ingestion and uses about 5% of one CPU core and 150 MiB RAM on a typical production system. Netdata is SOC 2 Type 2 certified. Pricing is per node, with unlimited metrics, dashboards, users, and retention.
Highlights
- Netdata AI built in: unsupervised ML on every metric, one-click root-cause analysis on every alert, AI reports for capacity planning, performance, and anomaly forensics, and an MCP server on every agent so Claude, ChatGPT, Gemini, or your coding agent can query live infrastructure data.
- Network monitoring included: live topology maps (LLDP, CDP, BGP, OSPF), NetFlow, IPFIX, and sFlow traffic analysis with top talkers and Sankey diagrams, SNMP device auto-discovery across 200+ vendor profiles, and a trap receiver decoding 150,000+ trap definitions from 800+ vendors.
- Per-second metrics with zero-configuration deployment: one command installs the agent, 850+ integrations auto-discover systems, containers, Kubernetes, and logs (systemd journal and Windows Event Log). Your data stays on your infrastructure; only views stream to the cloud.
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Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Number of hosts to monitor | Number of hosts to monitor on your infrastructure. A host (node) is any system in your infrastructure that you want to monitor, a physical or virtual machine (VM), container, cloud deployment, or IoT device. Please contact us for additional requirements or volume discounts - https://www.netdata.cloud/request-enterprise | $54.00 |
Dimension | Cost/host/hour |
|---|---|
Number of hosts monitored during the month, beyond the contracted quantity | $0.008 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law. You can cancel your subscription at any time and will not be charged in the future.
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Software as a Service (SaaS)
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Support
Vendor support
Free built-in support via discord server and Netdata community portal. Enterprise Support is available at additional cost.
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AI generated from product descriptions
Real-Time Anomaly Detection
Unsupervised machine learning models train on every metric at the edge, scoring anomalies in real time with no configuration required.
Network Topology and Traffic Analysis
Live topology maps built from LLDP, CDP, BGP, and OSPF protocols; NetFlow v5/v7/v9, IPFIX, and sFlow v5 analysis with top talkers and Sankey diagrams; SNMP device auto-discovery across 200+ vendor profiles with trap receiver decoding 150,000+ trap definitions from 800+ vendors.
Per-Second Metrics Collection
Collects and processes per-second granularity metrics across 850+ auto-discovered integrations covering operating systems, Kubernetes, databases, web servers, message brokers, and AWS services.
AI-Powered Root Cause Analysis
One-click AI investigation on every alert that returns root-cause hypothesis with supporting evidence; generates alert configurations from plain English descriptions and back-tests against historical data.
Edge-Based Data Processing
Metrics are stored and processed on infrastructure with only views streaming to cloud; supports eBPF and OpenTelemetry ingestion with approximately 5% CPU core and 150 MiB RAM resource utilization on typical production systems.
Multi-Cloud Environment Integration
Unified monitoring across AWS services including Lambda and ECS, alongside five other leading cloud providers for complete visibility across multi-cloud infrastructure.
Real-Time Anomaly Detection and Root Cause Analysis
Advanced anomaly detection with automated root-cause analysis and real-time dependency mapping to visualize connections between logs, networks, hosts, and services.
Unified Observability Data Collection
Centralized consolidation of metrics, logs, and traces across infrastructure, applications, and third-party services into a single platform.
SLO and SLA Monitoring
Real-time tracking and monitoring of critical Service Level Objectives and Service Level Agreements with automated alerts for regional issues and abnormal performance trends.
Interactive Visualization and Full-Stack Visibility
Interactive visualizations providing full-stack visibility across multi-domain monitoring including logs, hosts, network performance, and application metrics.
Full-Stack Observability
End-to-end monitoring of AWS applications and infrastructure from code level insights to end-user tracing with robust configuration options
AI-Powered Root Cause Analysis
Davis AI engine performs precise root cause analysis showing causation and correlation to drive automated remediation and reduce mean time to resolution
Generative AI Application Monitoring
Real-time monitoring, optimization, and security of Generative AI applications, LLMs, and agentic workflows with cost optimization, hallucination detection, and PII leakage guardrails
Runtime Application Security
Built-in Runtime Application Self-Protection that autonomously detects and blocks threats across AWS-hosted applications with real-time vulnerability and threat detection
AWS Native Integration
Out-of-the-box compatibility with 100+ AWS native technologies including EC2, Lambda, ECS, EKS, Fargate, Bedrock, and EventBridge for correlated event and performance analysis
Standard contract
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Customer reviews
Yash Dhawan
Real-time monitoring has transformed incident response and keeps critical workloads running smoothly
Reviewed on May 20, 2026
Review from a verified AWS customer
What is our primary use case?
Netdata serves as my real-time monitoring and observability platform for infrastructure and application performance monitoring, providing highly detailed real-time metrics with minimal setup and low operational overhead.
In my environment, Netdata is primarily used for real-time system performance monitoring, helping me monitor critical resources such as CPU, memory, disk utilization, network traffic, and container performance across servers and cloud workloads. My common use case is proactive incident detection and troubleshooting during high-load scenarios or production issues. Netdata's real-time dashboards provide immediate visibility into systems and resource spikes. The graphical view is excellent as it allows me to quickly identify bottlenecks and investigate root causes before they significantly impact users. For instance, there have been situations where I checked the spikes and identified 100% CPU usage before an issue started, allowing me to resolve it promptly.
What is most valuable?
Netdata's best features are visualization, which helps operational efficiency and reduces downtime while supporting faster incident response, and real-time monitoring, which provides second-by-second visibility into infrastructure. The dashboard makes it easy to visualize, and it has the capability to create alarms with very low operational overhead, requiring much less maintenance compared to many traditional monitoring solutions. It is highly scalable for distributed systems, enabling me to monitor multiple services efficiently while maintaining responsive dashboards.
The feature I find myself relying on the most day-to-day is the real-time monitoring and live dashboards, as it provides second-by-second visibility into infrastructure health, helping my team detect issues instantly instead of waiting. This feature is extremely useful during production incidents and troubleshooting, enabling faster root cause analysis and quicker response times. In many environments, engineers rely heavily on Netdata during CPU memory spikes, Kubernetes pod failures, network bottlenecks, and application latency investigations, which highlight the biggest advantages of using Netdata.
Netdata has positively impacted my organization by improving downtime and incident response workflows through real-time visibility into infrastructure and application performance. The live dashboards greatly assist us, as instant metric updates allow me to quickly detect anomalies, resource spikes, and service degradation before they escalate into larger production issues. The overall improvement has been significant.
In terms of specific metrics or outcomes regarding Netdata, there has been a reduction in downtime and faster incident resolution due to better monitoring capabilities. When infrastructure services degrade, such as during particular CPU usage spikes, I can visualize these events from the dashboard, helping me identify bottlenecks and conduct root cause analysis. These functionalities enhance visibility and proactive capabilities for faster anomaly detection, contributing to overall improved operational efficiency and infrastructure reliability.
What needs improvement?
Netdata can be improved by incorporating AI-driven anomaly detection and predictive monitoring capabilities to forecast potential bottlenecks. Additionally, broader native integrations with enterprise security, incident management, and cloud platforms could strengthen ecosystem compatibility.
If Netdata could send alerts based on resource utilization and the spikes it observes, that would be a major enhancement.
For how long have I used the solution?
I have been using Netdata for three to four years.
What other advice do I have?
My advice for others considering using Netdata is that it is an underdog tool that proves to be invaluable for teams needing instant visibility into system performance and proactive monitoring for faster troubleshooting during production incidents. It is particularly effective in environments where rapid anomaly detection and quick root cause analysis are crucial. I recommend Netdata as a strong choice for teams or organizations seeking efficient real-time observability with fast deployment and excellent infrastructure visibility. I would rate this product a 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Adolfo O.
Easy to Use with Great Real-Time Monitoring and Alerts
Reviewed on Apr 07, 2026
Review provided by G2
What do you like best about the product?
The ease of use, the real time monitoring with graphics and everything related to alerts
What do you dislike about the product?
Maybe it could improve the use on mobile phones
What problems is the product solving and how is that benefiting you?
Monitoring critical pieces of our infrastructure and even clients
Phillias P.
Effortless Turnkey Solution with No-Configure Simplicity
Reviewed on Jan 06, 2026
Review provided by G2
What do you like best about the product?
No-configure is a no-brainer. Out of the box turnkey is amazing and I was grabbing logs before my old favorite NMS was installing dependencies. All these integrations got me thinking about other projects. And the fact that support extended my trial by chat is some of the best customer support ever.
What do you dislike about the product?
Windows not supported in the free plan. No biggie.
What problems is the product solving and how is that benefiting you?
Right now logs and metrics as new services roll up in the homelab. Next cloud services.
Tade S.
An indispensable solution for central monitoring
Reviewed on Dec 04, 2025
Review provided by G2
What do you like best about the product?
I appreciate the centralized monitoring capability of Netdata, which allows me to effectively monitor my homelab nodes without relying on my own infrastructure. This means that even if a server goes offline, monitoring remains in place and I am informed. I particularly like the vast range of monitoring options that Netdata offers, combined with good clarity despite the many possibilities and the complexity of the platform. Additionally, I find the design appealing, although this is a personal preference. I have previously worked with other tools like Prometheus and Grafana, but Netdata offers clear advantages for me in terms of simplified centralization and fewer technical dependencies on my own infrastructures.
What do you dislike about the product?
It can be a bit overwhelming at first, but not least due to the good documentation, you can quickly get up to speed.
What problems is the product solving and how is that benefiting you?
With Netdata, I have centralized monitoring without relying on my own infrastructure. It greatly facilitates monitoring because I no longer depend on my own server being online.
Honza K.
Effortless VM Monitoring with Netdata
Reviewed on Nov 27, 2025
Review provided by G2
What do you like best about the product?
I love how easy and quick the onboarding process is with Netdata. The setup is incredibly straightforward; you simply install the necessary packages on the virtual machines and connect them to the cloud, and everything functions perfectly right out of the box. This seamless integration is unmatched compared to other services available. This feature alone sets Netdata apart and makes my experience with it remarkably smooth and efficient.
What do you dislike about the product?
The only small thing I can think of is that the documentation on good practice regarding which monitors to enable and which to disable is not really clear. However, it's really a tiny issue compared to what the service provides.
What problems is the product solving and how is that benefiting you?
I use Netdata to monitor our VMs for issues and measure metrics, and it solves these needs efficiently with an easy and quick setup.