The only agent that thinks for itself

Autonomous Monitoring with self-learning AI built-in, operating independently across your entire stack.

Unlimited Metrics & Logs
Machine learning & MCP
5% CPU, 150MB RAM
3GB disk, >1 year retention
800+ integrations, zero config
Dashboards, alerts out of the box
> Discover Netdata Agents

Centralized metrics streaming and storage

Aggregate metrics from multiple agents into centralized Parent nodes for unified monitoring across your infrastructure.

Stream from unlimited agents
Long-term data retention
High availability clustering
Data replication & backup
Scalable architecture
Enterprise-grade security
> Learn about Parents

Fully managed cloud platform

Access your monitoring data from anywhere with our SaaS platform. No infrastructure to manage, automatic updates, and global availability.

Zero infrastructure management
99.9% uptime SLA
Global data centers
Automatic updates & patches
Enterprise SSO & RBAC
SOC2 & ISO certified
> Explore Netdata Cloud

Deploy Netdata Cloud in your infrastructure

Run the full Netdata Cloud platform on-premises for complete data sovereignty and compliance with your security policies.

Complete data sovereignty
Air-gapped deployment
Custom compliance controls
Private network integration
Dedicated support team
Kubernetes & Docker support
> Learn about Cloud On-Premises

Powerful, intuitive monitoring interface

Modern, responsive UI built for real-time troubleshooting with customizable dashboards and advanced visualization capabilities.

Real-time chart updates
Customizable dashboards
Dark & light themes
Advanced filtering & search
Responsive on all devices
Collaboration features
> Explore Netdata UI

Monitor on the go

Native iOS and Android apps bring full monitoring capabilities to your mobile device with real-time alerts and notifications.

iOS & Android apps
Push notifications
Touch-optimized interface
Offline data access
Biometric authentication
Widget support
> Download apps

The future of infrastructure observability

See our strategic direction across AI-native observability, full-stack signals, operational intelligence, and enterprise platform maturity.

AI-native observability
Full-stack signal coverage
Operational intelligence
Enterprise platform maturity
Agent releases every 6 weeks
Cloud continuous delivery
> Explore Product Roadmap

Best energy efficiency

True real-time per-second

100% automated zero config

Centralized observability

Multi-year retention

High availability built-in

Zero maintenance

Always up-to-date

Enterprise security

Complete data control

Air-gap ready

Compliance certified

Millisecond responsiveness

Infinite zoom & pan

Works on any device

Native performance

Instant alerts

Monitor anywhere

AI-native observability

Continuous delivery

Open source foundation

80% Faster Incident Resolution

AI-powered troubleshooting from detection, to root cause and blast radius identification, to reporting.

True Real-Time and Simple, even at Scale

Linearly and infinitely scalable full-stack observability, that can be deployed even mid-crisis.

90% Cost Reduction, Full Fidelity

Instead of centralizing the data, Netdata distributes the code, eliminating pipelines and complexity.

See and Map Your Entire Network

Live topology, flow analytics, and SNMP device and trap monitoring — unified with your full-stack observability.

Control Without Surrender

SOC 2 Type 2 certified with every metric kept on your infrastructure.

Integrations

800+ collectors and notification channels, auto-discovered and ready out of the box.

800+ data collectors
Auto-discovery & zero config
Cloud, infra, app protocols
Notifications out of the box
> Explore integrations
Real Results
46% Cost Reduction

Reduced monitoring costs by 46% while cutting staff overhead by 67%.

— Leonardo Antunez, Codyas

Zero Pipeline

No data shipping. No central storage costs. Query at the edge.

From Our Users
"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

No Query Language

Point-and-click troubleshooting. No PromQL, no LogQL, no learning curve.

Enterprise Ready
67% Less Staff, 46% Cost Cut

Enterprise efficiency without enterprise complexity—real ROI from day one.

— Leonardo Antunez, Codyas

SOC 2 Type 2 Certified

Zero data egress. Only metadata reaches the cloud. Your metrics stay on your infrastructure.

Full Coverage
800+ Collectors

Auto-discovered and configured. No manual setup required.

Any Notification Channel

Slack, PagerDuty, Teams, email, webhooks—all built-in.

Built for the People Who Get Paged

Because 3am alerts deserve instant answers, not hour-long hunts.

Every Industry Has Rules. We Master Them.

See how healthcare, finance, and government teams cut monitoring costs 90% while staying audit-ready.

Monitor Any Technology. Configure Nothing.

Install the agent. It already knows your stack.
From Our Users
"A Rare Unicorn"

Netdata gives more than you invest in it. A rare unicorn that obeys the Pareto rule.

— Eduard Porquet Mateu, TMB Barcelona

99% Downtime Reduction

Reduced website downtime by 99% and cloud bill by 30% using Netdata alerts.

— Falkland Islands Government

Real Savings
30% Cloud Cost Reduction

Optimized resource allocation based on Netdata alerts cut cloud spending by 30%.

— Falkland Islands Government

46% Cost Cut

Reduced monitoring staff by 67% while cutting operational costs by 46%.

— Codyas

Real Coverage
"Plugin for Everything"

Netdata has agent capacity or a plugin for everything, including Windows and Kubernetes.

— Eduard Porquet Mateu, TMB Barcelona

"Out-of-the-Box"

So many out-of-the-box features! I mostly don't have to develop anything.

— Simon Beginn, LANCOM Systems

Real Speed
Troubleshooting in 30 Seconds

From 2-3 minutes to 30 seconds—instant visibility into any node issue.

— Matthew Artist, Nodecraft

20% Downtime Reduction

20% less downtime and 40% budget optimization from out-of-the-box monitoring.

— Simon Beginn, LANCOM Systems

Pay per Node. Unlimited Everything Else.

One price per node. Unlimited metrics, logs, users, and retention. No per-GB surprises.

Free tier—forever
No metric limits or caps
Retention you control
Cancel anytime
> See pricing plans

What's Your Monitoring Really Costing You?

Most teams overpay by 40-60%. Let's find out why.

Expose hidden metric charges
Calculate tool consolidation
Customers report 30-67% savings
Results in under 60 seconds
> See what you're really paying

Your Infrastructure Is Unique. Let's Talk.

Because monitoring 10 nodes is different from monitoring 10,000.

On-prem & air-gapped deployment
Volume pricing & agreements
Architecture review for your scale
Compliance & security support
> Start a conversation

Monitoring That Sells Itself

Deploy in minutes. Impress clients in hours. Earn recurring revenue for years.

30-second live demos close deals
Zero config = zero support burden
Competitive margins & deal protection
Response in 48 hours
> Apply to partner

Per-Second Metrics at Homelab Prices

Same engine, same dashboards, same ML. Just priced for tinkerers.

Community: Free forever · 5 nodes · non-commercial
Homelab: $90/yr · unlimited nodes · fair usage
> Get the Homelab Plan

$1,000 Per Referral. Unlimited Referrals.

Your colleagues get 10% off. You get 10% commission. Everyone wins.

10% of subscriptions, up to $1,000 each
Track earnings inside Netdata Cloud
PayPal/Venmo payouts in 3-4 weeks
No caps, no complexity
> Get your referral link
Cost Proof
40% Budget Optimization

"Netdata's significant positive impact" — LANCOM Systems

Calculate Your Savings

Compare vs Datadog, Grafana, Dynatrace

Savings Proof
46% Cost Reduction

"Cut costs by 46%, staff by 67%" — Codyas

30% Cloud Bill Savings

"Reduced cloud bill by 30%" — Falkland Islands Gov

Enterprise Proof
"Better Than Combined Alternatives"

"Better observability with Netdata than combining other tools." — TMB Barcelona

Real Engineers, <24h Response

DPA, SLAs, on-prem, volume pricing

Why Partners Win
Demo Live Infrastructure

One command, 30 seconds, real data—no sandbox needed

Zero Tickets, High Margins

Auto-config + per-node pricing = predictable profit

Homelab Ready
Free Video Course

8-episode Netdata tutorial by LearnLinux.tv

76k+ GitHub Stars

3rd most starred monitoring project

Worth Recommending
Product That Delivers

Customers report 40-67% cost cuts, 99% downtime reduction

Zero Risk to Your Rep

Free tier lets them try before they buy

AI Support Assistant, Available 24/7

Nedi has access to all official documentation, source code, and resources. Ask any question about Netdata—responds in your language.

Deployment & configuration
Troubleshooting & sizing
Alerts & notifications
Evidence-based answers
> Ask Nedi now

Never Fight Fires Alone

Docs, community, and expert help—pick your path to resolution.

Learn.netdata.cloud docs
Discord, Forums, GitHub
Premium support available
> Get answers now

60 Seconds to First Dashboard

One command to install. Zero config. 850+ integrations documented.

Linux, Windows, K8s, Docker
Auto-discovers your stack
> Read our documentation

76,000+ Engineers Strong

615+ contributors. 1.5M daily downloads. One mission: simplify observability.

Per-Second. 90% Cheaper. Data Stays Home.

Side-by-side comparisons: costs, real-time granularity, and data sovereignty for every major tool.

See why teams switch from Datadog, Prometheus, Grafana, and more.

> Browse all comparisons
Edge-Native Observability, Born Open Source
Per-second visibility, ML on every metric, and data that never leaves your infrastructure.
Founded in 2016
615+ contributors worldwide
Remote-first, engineering-driven
Open source first
> Read our story
Promises We Publish—and Prove
12 principles backed by open code, independent validation, and measurable outcomes.
Open source, peer-reviewed
Zero config, instant value
Data sovereignty by design
Aligned pricing, no surprises
> See all 12 principles
Edge-Native, AI-Ready, 100% Open
76k+ stars. Full ML, AI, and automation—GPLv3+, not premium add-ons.
76,000+ GitHub stars
GPLv3+ licensed forever
ML on every metric, included
Zero vendor lock-in
> Explore our open source
Build Real-Time Observability for the World
Remote-first team shipping per-second monitoring with ML on every metric.
Remote-first, fully distributed
Open source (76k+ stars)
Challenging technical problems
Your code on millions of systems
> See open roles
Meet the Team Behind Netdata
Conferences, meetups, and tradeshows where you can see Netdata in action and talk to the engineers who build it.
Live demos and deep dives
Book 1-on-1 meetings
Talks and panel sessions
Event recaps and photos
> See all events
Talk to a Netdata Human in <24 Hours
Sales, partnerships, press, or professional services—real engineers, fast answers.
Discuss your observability needs
Pricing and volume discounts
Partnership opportunities
Media and press inquiries
> Book a conversation
Your Data. Your Rules.
On-prem data, cloud control plane, transparent terms.
Trust & Scale
76,000+ GitHub Stars

One of the most popular open-source monitoring projects

SOC 2 Type 2 Certified

Enterprise-grade security and compliance

Data Sovereignty

Your metrics stay on your infrastructure

Validated
University of Amsterdam

"Most energy-efficient monitoring solution" — ICSOC 2023, peer-reviewed

ADASTEC (Autonomous Driving)

"Doesn't miss alerts—mission-critical trust for safety software"

Community Stats
615+ Contributors

Global community improving monitoring for everyone

1.5M+ Downloads/Day

Trusted by teams worldwide

GPLv3+ Licensed

Free forever, fully open source agent

Why Join?
Remote-First

Work from anywhere, async-friendly culture

Impact at Scale

Your work helps millions of systems

$ guides / nginx / nginx-ssl-session-cache

Operations Guides

NGINX SSL session cache: improving TLS resumption and cutting CPU

TLS handshakes are the most CPU-intensive routine operation in nginx. A worker terminating RSA-2048 TLS can handle only a few hundred full handshakes per second, compared to tens of thousands of plain HTTP requests. In production, every reconnecting client that repeats a full handshake wastes CPU and adds latency. The ssl_session_cache directive exists to eliminate that waste by allowing session resumption across connections. Yet many configurations either omit it, under-size it, or misunderstand how TLS 1.3 changes resumption behavior. This article explains the mechanism, sizing, and the signals that tell you whether your cache is working.

What it is and why it matters

Without session resumption, every new TLS connection performs a full handshake. That means asymmetric cryptography, certificate chain verification, and key exchange. For high-churn workloads, such as APIs with short-lived connections, mobile clients, or CDN origin pulls, this cost accumulates fast. The result is SSL termination overload: workers peg CPU, the event loop slows, and latency rises for all requests.

Session caching mitigates this by storing negotiated session parameters so that compatible clients can resume with an abbreviated handshake on their next visit. nginx supports two mechanisms: a shared-memory session ID cache (shared:NAME:SIZE) and session tickets (ssl_session_tickets). The shared cache is visible to all workers, while tickets are self-contained encrypted blobs issued to clients. Both reduce CPU, but they behave differently under TLS 1.2 and TLS 1.3, and they share the same memory zone in modern nginx.

How it works

flowchart TD
    Client([Client]) -->|New connection| Check{Session ID or ticket presented?}
    Check -->|No| Full[Full TLS handshake]
    Check -->|Yes| Lookup{Cache lookup or ticket validation}
    Lookup -->|Valid| Resume[Resumed handshake]
    Lookup -->|Invalid| Full
    Full -->|Update shared cache| Cache[(ssl_session_cache shared:SSL)]
    Resume -->|Low CPU| Worker[nginx worker]
    Full -->|High CPU| Worker

The directive syntax includes off, none, and the two storage variants. The production pattern is shared:SSL:SIZE alone. A per-worker OpenSSL cache exists, but it fragments memory across processes and prevents workers from resuming sessions negotiated by their peers, so avoid it in multi-worker deployments.

A shared cache of 1 MB holds approximately 4000 sessions, at roughly 262 bytes per entry. The default ssl_session_timeout is five minutes. To size the zone, use:

required_MB = new_tls_sessions_per_second * ssl_session_timeout_seconds / 4000

For example, 1000 new sessions per second with a ten-minute timeout needs roughly 150 MB. Undersizing causes eviction, which manifests as a dropping hit rate and rising CPU.

To measure effectiveness, add $ssl_session_reused to your log format. It returns "r" for resumed and "." for full handshakes. Calculate hit rate by dividing resumed sessions by total TLS connections over a stable window. Because a cold cache produces a temporary floor, measure at least one full ssl_session_timeout after startup or reload to get a baseline. A healthy production deployment should see a hit rate above 90%. Below 80% is worth investigating; below 50% means the cache is either cold, too small, or unreachable.

Session tickets enable stateless resumption. The server encrypts session state into a ticket sent to the client, which presents it on reconnect. With ssl_session_tickets on, nginx stores ticket keys in the shared zone so all workers can issue and validate them consistently. If you disable tickets, TLS 1.2 clients must rely on the shared ID cache, which increases memory pressure. In TLS 1.3, disabling tickets disables resumption entirely, because TLS 1.3 uses tickets exclusively.

Where it shows up in production

Cold starts. After an nginx restart, the shared cache is empty. Every reconnecting client performs a full handshake until the cache warms. This produces a predictable CPU spike that decays over the first few thousand connections. If you see sustained high CPU after the cache should be warm, the zone is likely undersized or sessions are expiring too quickly.

Reload vs. restart. The shared cache survives nginx -s reload because the master process retains the zone. It is lost only on full process restart. If CPU spikes after a restart but not after a reload, the cache is behaving as expected.

TLS 1.3-only edge termination. If your nginx handles only TLS 1.3, sizing the cache for thousands of session IDs is largely wasted. The zone still needs enough space for ticket keys and metadata, but the dominant CPU win comes from ticket-based resumption, not from session ID lookup.

Vhost consolidation. Multiple server blocks can reference the same shared cache name (shared:SSL:10m). Subsequent declarations retrieve the existing zone rather than creating a new one, and conflicting sizes are silently ignored. This means the first declared size wins for all vhosts. Audit your configuration with nginx -T | grep ssl_session_cache to detect duplicates that might under-size a vhost.

Tradeoffs and when to use it

Shared cache sizing. A larger cache retains more sessions and improves hit rate, but consumes resident memory that is no longer available for connection buffers or the operating system page cache. Size for your peak new-session rate multiplied by your desired reuse window, then add headroom.

Ticket key synchronization. Without a shared cache, each worker generates independent ticket keys. A client that receives a ticket from one worker may fail resumption when reconnecting to another. This manifests as an unexpectedly low hit rate on multi-worker deployments even when tickets are enabled. The shared zone is required to synchronize keys across workers.

Session tickets vs. session IDs. Disabling session tickets forces TLS 1.2 clients to rely on the shared ID cache. This increases memory pressure and reduces resumption rates for mobile clients that rotate network interfaces. In TLS 1.3, disabling tickets disables resumption entirely. TLS 1.3 early data (0-RTT) is possible but introduces replay risk and is not enabled by default. If you disable tickets, ensure the shared cache is large enough to absorb the entire ID-based workload.

Timeout selection. The default ssl_session_timeout of five minutes is conservative. Production deployments often use 10m, 1h, or 1d depending on client behavior. Longer timeouts reduce CPU but increase the memory footprint and widen the window for session replay. Adjust to match your security model and connection churn rate.

Expired session retention. nginx does not actively purge expired sessions from the shared cache. They remain until evicted by LRU churn. For deployments that rely solely on ID-based resumption, stale session data persists beyond the timeout. This wastes zone capacity but does not affect performance beyond reducing available space for valid sessions.

Avoid mixing cache types. Combining a per-worker cache with a shared zone is less efficient than using the shared zone alone.

Signals to watch in production

SignalWhy it mattersWarning sign
SSL session cache hit rate ($ssl_session_reused)Directly measures how many connections avoid a full handshakeSustained below 80%; sudden drop after a config change
Worker CPU utilization per processHigh CPU with high connection rate indicates handshake saturationPer-worker CPU above 80% sustained with elevated new connection rate
New connection rate vs. request rateHandshake storms show high connection rate with stagnant request throughputConnection rate spikes but requests per second do not
accepts - handled gapDropped connections under load can follow CPU saturation if workers cannot keep upGap increasing for more than 60 seconds
TLS version distribution ($ssl_protocol)TLS 1.3-only deployments benefit less from ID cache sizing; signal guides capacity decisionsSudden shift to TLS 1.2 may increase cache pressure unexpectedly

How Netdata helps

  • Correlate per-worker CPU utilization with SSL session cache hit rate to distinguish handshake saturation from application-level CPU load.
  • Track the accepts - handled gap alongside connection rate to detect admission loss that precedes visible errors.
  • Monitor TLS version distribution shifts that change the effective value of your session cache sizing.
  • Alert on dropping SSL session cache hit rate before CPU saturation becomes visible.
  • Compare hit rate against time since process start to separate cold-start behavior from chronic undersizing.
The Netdata solution

Web server monitoring with Netdata

Netdata monitors NGINX with per-second request, connection, and latency metrics plus ML anomaly detection. Correlate connection and file-descriptor exhaustion, upstream cascade failures, buffer spill, and TLS CPU with the host signals behind them.