UNIFIED OBSERVABILITY ARCHITECTURE85% of organizations are pursuing unified observability, yet 73% still lack full-stack visibility. Netdata’s edge-native architecture delivers per-second metrics, logs and OpenTelemetry traces, with ML-powered insights, from a single platform - without centralized bottlenecks, cost explosions, or query language complexity.
Purpose-built architecture that solves the root causes of observability pain
Per-second collection and visualization. See what’s happening now, not 30 seconds ago. Catch microbursts and transient issues others miss.
Each agent is a complete observability engine - collection, storage, ML, dashboards. No central bottleneck. Linear scaling to any size.
18 unsupervised models per metric trained locally. AI Co-Engineer explains alerts in plain language. Root cause in top 30-50 correlated metrics.
800+ integrations auto-discovered and visualized. Zero configuration for most deployments. Algorithmic dashboards generated from your actual infrastructure.
Predictable per-node pricing for infrastructure monitoring, with no charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. No cardinality penalties. 90% cost reduction at scale.
NIDL framework enables point-and-click analysis. Each chart equals 25+ traditional charts. Junior engineers get senior-level visibility.
Trusted by Operations Teams Worldwide
One agent, three signals
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80% reduction in MTTR
Learn About AI Features
200× query accuracy vs traditional tools
Explore Logs Management
60 seconds to first dashboard
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Architecture Comparison
Traditional unified platforms centralize everything - creating bottlenecks, cost explosions, and complexity. Netdata distributes intelligence to the edge.
Capability
Netdata
Traditional Platforms
Data Architecture
✅ Edge-Native
Data processed and stored where generated
⚠️ Centralized
All data shipped to central clusters
Collection Granularity
✅ Per-Second
True real-time with 1-second latency
⚠️ 10-60 Seconds
Near-real-time with significant lag
ML Anomaly Detection
✅ 18 Models Per Metric
Trained locally during collection
⚠️ Cloud-Based ML
Requires data egress, adds latency
Configuration Required
✅ Minimal Config
Auto-discovery and algorithmic dashboards
⚠️ Extensive Setup
Days to weeks of configuration work
Query Language
✅ Point-and-Click
NIDL framework, no DSL required
⚠️ Proprietary DSLs
PromQL, NRQL, KQL - months to master
Pricing Model
✅ Per-Node Pricing
No charges for metrics volume or Logs Monitoring (querying logs in place)
❌ Volume-Based
Per-metric, per-GB, per-user charges
Distributed Tracing
✅ OpenTelemetry over OTLP
Stored and indexed on your agents; heatmap, waterfall, span details
✅ Advanced
Mature tracing, often with service maps
Storage Efficiency
✅ 0.6 Bytes/Sample
Years of data in gigabytes
⚠️ 2-16 Bytes/Sample
Terabytes for equivalent retention
Scaling Pattern
✅ Linear
Adding nodes doesn’t affect existing ones
❌ Exponential
Central clusters require constant scaling
3,000-20,000 metrics per second per node. Multi-tier retention (per-second, per-minute, per-hour). Zero sampling, zero data loss.
Complete infrastructure visibility at unprecedented granularity
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See how unified observability architecture transforms operational outcomes
Distributed Edge Architecture
Data processed where generated
90% Cost Reduction
No egress, no central cluster scaling
Per-Second Collection
True real-time granularity
80% Faster MTTR
See and verify changes instantly
Zero-Config Discovery
800+ auto-detected integrations
Days to Deploy
Not weeks or months
18-Model ML Consensus
Anomaly detection on every metric
99% Fewer False Positives
In ML anomaly detection
Algorithmic Dashboards
Generated from actual data
Zero Dashboard Maintenance
Always current, always complete
Why organizations choose Netdata for unified infrastructure visibility
Complete observability engine per node - metrics, logs and traces collection and storage, ML, dashboards. No separate tools to integrate.
Per-second metrics, logs, and ML. 1-second latency from collection to visualization. True interactive debugging.
ML trains automatically. AI explains alerts. Root cause analysis in minutes. No data science team required.
Point-and-click NIDL framework. Each chart is 25+ traditional charts. Junior engineers get expert visibility.
Per-node pricing for infrastructure monitoring, with no charges for metrics volume, Logs Monitoring (querying logs in place), users, data retention or containers. No forced data reduction.
All observability data stays on your infrastructure. SOC 2 Type 2 certified. GDPR/HIPAA aligned by design.
October 5, 2026
Netdata now ingests OpenTelemetry traces over OTLP on the same Agent that collects your metrics and logs. Spans are stored and indexed on your own infrastructure and explored in the new Traces tab in Netdata Cloud.
September 8, 2026
Netdata AI now learns your infrastructure the way a new SRE would: a shared context document your team writes, and a memory layer built from conversations that gets more accurate every time you use it.
August 17, 2026
Netdata Cloud now lets you pin notes to a specific moment on a chart — deployments, incidents, config changes, maintenance windows — shared across your whole Space and one click away from a root-cause correlation.
