The only agent that thinks for itself

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

Metrics, Logs & Traces
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. Predictable Pricing.

Predictable per-node pricing for infrastructure monitoring. No per-metric or per-GB ingest charges for metrics and logs.

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

80k+ 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
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Premium support available
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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

80,000+ Engineers Strong

690+ 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
690+ 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
80k+ stars. Full ML, AI, and automation—GPLv3+, not premium add-ons.
80,000+ 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 (80k+ 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
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Event recaps and photos
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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
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Your Data. Your Rules.
On-prem data, cloud control plane, transparent terms.
Trust & Scale
80,000+ 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
690+ 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

Buyer’s Guide - October 2026

The 10 best Azure monitoring tools

Every Azure resource feeds Azure Monitor automatically, so the real question is what it misses: per-second resolution, hybrid estates, and a log bill you can predict. We ranked ten tools on Azure service coverage, metric freshness, hybrid reach and cost shape, with the honest trade-offs for each.

The 10 best Azure monitoring tools product interface

Why this list exists

Azure monitoring is an unusual category because Microsoft ships a capable native tool. Every Azure resource sends platform metrics and logs to Azure Monitor at creation time, with Application Insights for APM and Log Analytics for KQL querying. That makes the buying decision less “which tool covers Azure” and more “what does the native default fail to give me”.

The mistake buyers make is treating this as either/or. Azure Monitor is the right default for pure-Azure estates with simple topologies. But its platform metrics arrive at 1-minute grain, its log ingestion is billed per GB in ways that surprise log-heavy teams, its experience is fragmented across Monitor, Log Analytics workspaces and Application Insights, and it is weak outside Azure. Hybrid, multi-cloud, cost-sensitive or real-time-focused teams almost always supplement or replace it.

How to choose an Azure monitoring tool

Three dimensions decide the outcome for most teams:

  1. Resolution. Transient Azure issues, a CPU spike that throttles a VM for twenty seconds, a connection storm on Azure SQL, are invisible at 1-minute platform metrics or 5-minute API polling. Sub-minute agent collection on the VMs themselves is what makes them visible.
  2. Collection model. Third-party tools either poll the Azure Monitor APIs through an app registration (inheriting Azure’s metric grain) or run agents on your VMs and AKS nodes (collecting at the agent’s own interval). The two models are complementary: platform telemetry through the API, guest-level detail through agents.
  3. Cost shape. Per-GB log ingest, per-host, per-sensor, per-monitor and per-node models fail in different ways at scale. Know which axis your estate grows on before you sign.

One editorial rule on this page: we do not quote competitor list prices, because list price is not what you pay and volume tiers, commitments and add-ons change the math. We describe each pricing model’s shape and what makes the bill grow, and we link every vendor’s official pricing page so you can get a current quote.

Methodology

How we evaluated Azure monitoring tools

We assembled the shortlist from vendor documentation, practitioner threads on r/AZURE and r/devops about leaving or supplementing Azure Monitor, and independent comparison write-ups, then verified every coverage claim against each vendor’s own Azure docs rather than marketing pages. Tools that only mention Azure in a logo wall did not make the list.

Azure service coverage and metric resolution carry the most weight, because they are where Azure Monitor’s defaults fall short and where switching tools actually pays off. Cost predictability is weighted heavily too: per-GB log billing is the single most common complaint in practitioner discussions of Azure monitoring, and a tool that fixes visibility but recreates the same billing surprise has not solved the problem.

Tester credit

Compiled by the Netdata team - Updated October 14, 2026

Scoring criteria

  • Azure service coverage 25%
    Depth across VMs, AKS, Azure SQL, App Service, storage, networking and PaaS, verified against vendor docs.
  • Metric resolution and real-time visibility 20%
    Per-second agents versus 1-minute platform metrics versus 5-minute API polling.
  • Hybrid and multi-cloud reach 15%
    Azure alongside on-premises and other clouds in one view.
  • Cost predictability 15%
    Pricing shape and what makes the bill grow at scale.
  • AIOps and anomaly detection 10%
    Built-in anomaly detection and root-cause correlation, not bolt-ons.
  • Setup and operational effort 10%
    Time to first useful dashboard: auto-discovery versus app registrations and self-managed backends.
  • Alerting and diagnostics depth 5%
    Quality of shipped alerts and drill-down from symptom to cause.

Vendor 01 / 10 · #netdata

01

Netdata

Per-second observability for Azure VMs, AKS and services, from open-source agents on your own infrastructure, with an Azure Monitor collector that auto-discovers resources across subscriptions.

Netdata metrics dashboard showing per-second infrastructure charts, demonstrating the real-time resolution Netdata collects from Azure VMs and services

Best for

  • Teams that need per-second visibility into Azure VMs, containers and applications, without per-GB ingest metering for infrastructure monitoring
  • Organizations that want telemetry stored on their own infrastructure, for data sovereignty and to avoid Azure egress charges
  • Hybrid estates where Azure VMs sit next to on-premises servers and other clouds under one dashboard

Pricing

  • Per-node pricing: Netdata Cloud Business starts at $4.5/node/month on annual plans, and the per-node price decreases as node count grows
  • Not billed: metrics volume, Logs Monitoring (querying logs in place), users, data retention, containers
  • Agents are open source under GPLv3+ and remain free; the Community plan is free for personal, non-commercial use with up to 5 active connected nodes
  • Logs Management is in Free Preview; 14-day trial for Netdata Cloud Business

Pros

  • Per-second metric collection on Azure VMs (Windows and Linux), roughly an order of magnitude finer than Azure Monitor’s 1-minute platform metrics
  • Azure Monitor collector auto-discovers resources across subscriptions via Azure Resource Graph, with 38 built-in service profiles and 1300+ metrics from the Azure Monitor Metrics API
  • Authentication through Microsoft Entra ID with service principal, managed identity or default credentials
  • Unsupervised ML anomaly detection trains on each node locally, so raw telemetry never leaves the host
  • Metrics, logs and OpenTelemetry traces on the same agent; traces are stored and indexed on your own agents and explored in the Netdata Cloud Traces tab
  • Single-line install per VM; the default multi-tier dbengine retains up to about 2 years of metrics on-node

What to watch

  • No default alerts ship for the Azure Monitor collector integration; thresholds for Azure platform metrics are configured by the operator
  • First-party Azure service health, Azure Advisor recommendations and Service Health signals are Azure Monitor’s native territory; Netdata does not replicate them
  • No native Azure cost and spend monitoring; that remains the job of Azure Cost Management or a FinOps tool

Verdict

Netdata leads this list on the dimensions Azure buyers struggle with most: resolution, cost predictability and data control. Agents on your VMs and AKS nodes collect per-second, so the transient spikes that 1-minute platform metrics average away are actually visible, and the Azure Monitor collector pulls 1300+ platform metrics across 38 service profiles into the same dashboards. The per-node bill does not grow with metrics volume or headcount, and telemetry stays on your infrastructure. The honest caveats: Azure PaaS platform metrics arrive at whatever grain Azure’s API publishes (typically 1-minute; per-second applies to guest OS and application metrics on VMs), Azure platform-metric alerting is yours to configure, and first-party Azure service health signals still belong to Azure Monitor. For deep Azure diagnostics at real-time resolution, with Azure Monitor kept for control-plane signals, it is the strongest pairing on this page.

Vendor 02 / 10 · #azure-monitor

02

Azure Monitor

Microsoft’s native observability service: automatic metrics, logs and traces from every Azure resource, with Application Insights for APM and Log Analytics for KQL.

Best for

  • Teams whose entire stack lives inside Azure and want zero-configuration platform metrics
  • Organizations committed to Azure-native operations, Policy and security tooling
  • Cost-constrained teams starting out on the free log allowance and built-in insights

Pricing

  • Pay-as-you-go, billed by Azure: log ingestion per GB on the Analytics tier (a free monthly log allowance per billing account; a cheaper Basic Logs tier exists), plus per-GB retention beyond included allowances
  • Platform metrics collection is included; web tests, alerts and data export are billed separately
  • The bill grows with log volume, retention length and query/export usage, the classic surprise for log-heavy estates

Pros

  • Zero-configuration collection of platform metrics and logs from every Azure resource at creation time
  • Application Insights is mature APM for .NET, Java, Node.js and Python, with distributed tracing and Live Metrics
  • Log Analytics with KQL is genuinely powerful for log querying once learned
  • VM insights and Container insights cover VMs and AKS out of the box; Container Insights can ingest Prometheus and OpenTelemetry data
  • Ties directly into Azure Policy, Action Groups, Logic Apps and the Azure control plane

Cons

  • Weak outside Azure: on-premises coverage needs Azure Arc and the Azure Monitor Agent, and cross-environment correlation is manual
  • The experience is fragmented across Monitor, Log Analytics workspaces, Application Insights and Workbooks, and cross-resource queries get complex fast
  • Log ingestion costs are hard to predict at scale and are the most common complaint in practitioner threads
  • Alerting produces noise before signal, and useful Workbooks dashboards take sustained engineering effort

Verdict

Azure Monitor is the reference standard every other tool here is measured against, and for pure-Azure estates it is the correct default: coverage of every first-party service from day one, real APM through Application Insights, and deep integration with the Azure control plane. Its weaknesses are structural rather than fixable: 1-minute platform metric grain, a fragmented console, per-GB log billing that creeps, and thin hybrid reach. Most production environments end up supplementing it rather than replacing it, typically with a per-second agent platform for VM and container internals. Keep it for service health and control-plane signals; decide deliberately whether it is also your diagnostic layer.

Vendor 03 / 10 · #datadog

03

Datadog

The default third-party answer for Azure: a SaaS platform pulling azure.* metrics and logs via app registration, next to infrastructure, APM and security telemetry from the rest of the estate.

Best for

  • Teams that want one SaaS platform for Azure plus AWS/GCP and on-premises without running a backend
  • Organizations needing deep APM, RUM and security alongside Azure infrastructure monitoring
  • Teams with limited observability engineering capacity who prefer a managed platform

Pricing

  • Per-host infrastructure pricing plus per-GB log ingestion and indexing, with APM, RUM, Database Monitoring and security each priced as separate add-ons
  • Annual, monthly and custom billing; some legacy host-based plans still exist
  • The bill grows with host count, log volume, custom metrics and enabled add-ons, the most common cost complaint in practitioner discussions

Pros

  • Native Azure integration ingests azure.* metrics across a very broad set of services, including App Service, Functions, SQL and networking
  • Watchdog AI for automated anomaly detection and root-cause correlation across Azure and non-Azure telemetry
  • Very broad integration catalog plus mature APM, RUM, synthetics and Database Monitoring
  • Strong practitioner mindshare: the default recommendation in r/AZURE threads about Azure Monitor alternatives

Cons

  • Costs scale steeply with hosts, log volume and add-ons; pricing complexity is a recurring theme in migration threads
  • Azure telemetry arrives through API polling and integrations rather than per-second agent collection on the platform side
  • SaaS-only: telemetry leaves your infrastructure, which matters for regulated Azure estates

Verdict

Datadog is the strongest all-in-one alternative to Azure Monitor for mixed estates, with the broadest third-party Azure integration coverage and APM depth that rivals Application Insights. It earns its rank on breadth and polish. The trade-off is the pricing model: per-host plus per-GB plus per-capability add-ons is precisely the kind of bill that grows faster than the estate, and pricing complexity is a recurring theme in practitioner migration threads. If budget predictability or data sovereignty is a hard requirement, weigh that against the convenience before standardizing.

Vendor 04 / 10 · #dynatrace

04

Dynatrace

Enterprise observability whose Davis AI performs automatic root-cause analysis across Azure services, combining OneAgent instrumentation with an Azure Monitor integration.

Best for

  • Large enterprises running complex Azure environments that want AI-driven root cause and business-impact analysis
  • Organizations standardizing on one platform across Azure, other clouds and on-premises
  • Teams that value automation over dashboard building

Pricing

  • Dynatrace Platform Subscription: one annual platform-level commitment consumed at transparent rate-card prices, with unit prices decreasing as the commitment grows
  • Unlimited seats included; no per-user fees
  • The bill grows with consumption: host-hours, ingest volume and capability usage draw down the commitment

Pros

  • Monitors Azure via OneAgent and an Azure Monitor integration, with automatic discovery, baselining and AI-based problem detection
  • Azure Native Dynatrace Service in the Azure Marketplace streamlines procurement and deployment
  • Davis AI correlates metrics, events and logs across billions of dependencies, the strongest expert-system AIOps in the category
  • Supports Azure Lighthouse for multi-tenant access

Cons

  • Enterprise pricing with an annual commitment; the entry cost is high for small and mid-market Azure teams
  • OneAgent deployment and configuration add operational weight compared with agentless API polling
  • SaaS-first; self-hosted options are limited relative to open-source stacks

Verdict

Dynatrace is the pick when Azure root-cause analysis at enterprise scale is the problem: Davis AI does automated causal analysis across a huge dependency graph, and the Azure-native marketplace offering removes procurement friction. It ranks below Datadog here because its commitment-based pricing and OneAgent operational weight suit large enterprises more than the mid-market teams who make up most of this page’s audience. Teams that mainly need VM and infrastructure monitoring will pay for capability they never touch.

Vendor 05 / 10 · #newrelic

05

New Relic

Full-stack observability with a wide Azure integration portfolio that polls Azure Monitor on a 5-minute cycle, priced by users and data ingest.

Best for

  • Engineering teams that want APM-first observability with Azure infrastructure alongside it
  • Organizations with varied language stacks migrating from on-premises APM tools
  • Teams that prefer ingest-based pricing over per-host and can manage log volume

Pricing

  • Priced on two axes: users plus data ingest (or compute plus ingest), with unlimited hosts, agents and containers included
  • A free tier with a monthly ingest allowance and synthetic monitor quota; pay-as-you-go beyond it
  • The bill grows with data ingest, especially logs, and the number of full-platform users

Pros

  • Broad Azure integration portfolio: VMs, Functions, Event Hubs, Cosmos DB, API Management and more, ingesting Azure Monitor metrics and logs
  • Unlimited hosts and containers make costs predictable for host-heavy Azure estates
  • Solid APM across many languages plus browser and synthetic monitoring in the same platform
  • A perpetual free tier makes evaluation low-friction

Cons

  • Azure integrations poll on a 5-minute default cycle with 1-minute resolution at best, coarse next to per-second agents
  • Azure-specific discovery and integration depth are generally regarded as behind Datadog’s
  • Ingest-based pricing becomes expensive for log-heavy Azure workloads if ingest is not actively managed

Verdict

New Relic is a credible full-stack option for Azure, particularly for teams whose center of gravity is application performance rather than infrastructure. The user-plus-ingest model with unlimited hosts is genuinely friendlier than per-host pricing for sprawling VM estates. What holds it back on this list is Azure specificity: 5-minute polling and shallower native discovery put it a step behind Datadog and the native tooling for Azure-first infrastructure monitoring.

Vendor 06 / 10 · #grafana

06

Grafana (with Azure Monitor data source)

Open-source visualization and alerting whose Azure Monitor data source queries Azure metrics, Log Analytics (KQL) and Azure Resource Graph, with Grafana Cloud as the managed option.

Best for

  • Teams with engineering capacity that want maximum control over dashboards and data sources
  • AKS and cloud-native estates already running Prometheus
  • Hybrid setups where Azure is one of several data sources in one dashboard layer

Pricing

  • Grafana OSS is open source (AGPL) and self-hosted: you run and operate it, and the operational cost is real
  • Grafana Cloud: a free tier, then a monthly platform fee plus pay-as-you-go per host-hour, container-hour and active user, with custom annual commitments for large estates
  • The bill grows with active users and telemetry volume; the OSS route trades money for running Prometheus, Loki and Tempo yourself

Pros

  • Official Azure Monitor data source queries Azure metrics, Log Analytics with KQL, and Azure Resource Graph, across public, US Government and China clouds
  • Huge library of pre-built community dashboards, including Azure and AKS boards
  • Combines Azure Monitor, Prometheus and dozens of other sources in one visualization and alerting layer
  • Grafana Cloud removes the self-hosting burden for teams that want managed

Cons

  • Grafana is a presentation layer, not a data store: collection, log storage and trace storage all need separate infrastructure
  • Running the full OSS stack takes real operational effort, and the Azure Monitor plugin requires a recent Grafana release (12.3 or later per current docs)
  • No built-in collection or anomaly detection of its own for Azure; it visualizes what other systems gather

Verdict

Grafana is the control pick: for AKS-heavy teams already running Prometheus, the Azure Monitor data source unifies platform metrics, KQL logs and Resource Graph queries in one dashboard layer. But it monitors nothing by itself. Every line on a Grafana dashboard is collected, stored and retained by something else you operate or pay for, so the honest comparison is Grafana plus its backends against the integrated platforms above it on this list. Budget for that operational cost before committing to the OSS route.

Vendor 07 / 10 · #logicmonitor

07

LogicMonitor

SaaS hybrid-infrastructure monitoring that pulls Azure resource metrics, logs and cost data through API-based collectors into one view with on-premises estates.

Best for

  • Enterprises running Azure alongside substantial on-premises infrastructure
  • Teams that want agentless Azure resource monitoring plus guest OS coverage without building it themselves
  • MSPs and organizations wanting predictable per-unit licensing across hybrid estates

Pricing

  • Platform packages priced per Hybrid Unit, a licensing unit covering on-premises, cloud IaaS/PaaS, wireless and OpenTelemetry resources
  • Three tiers (Essentials, Advanced, Signature with Edwin AI) bundling capabilities at an inclusive per-unit price
  • The bill grows with monitored resource count; units shift across environments without changing the licensing model

Pros

  • Monitors Azure via the Azure APIs: performance metrics, guest OS data, storage analytics, diagnostic logs, cost management, service health and containers
  • Hybrid Unit licensing flexes across on-premises, cloud and edge as the estate changes
  • Edwin AI adds event intelligence and AIOps on the higher tiers
  • Collectors are SaaS-managed, so there is no backend to run

Cons

  • Azure platform data arrives by API polling, so resolution is minutes, not seconds
  • Quote-based conversations remain common for larger estates despite published per-unit prices
  • APM depth is lighter than Datadog or Dynatrace for application-level Azure workloads

Verdict

LogicMonitor is the hybrid-estate specialist on this list: if Azure is one tenant in a large on-premises footprint, its agentless collectors and Hybrid Unit licensing are built for exactly that shape, and it is one of the few tools here that also ingests Azure cost data. It ranks mid-list because minutes-resolution polling cannot diagnose transient Azure VM issues, and its APM is thinner than the platforms above it. For infrastructure breadth across a mixed estate rather than deep Azure diagnostics, it is a solid shortlist candidate.

Vendor 08 / 10 · #site24x7

08

Site24x7

All-in-one monitoring suite that discovers Azure resources via an authenticated app registration and monitors VMs, databases, App Services and more, with hourly billing for cloud resources.

Best for

  • Mid-market teams wanting Azure plus servers, networks, websites and applications in one affordable suite
  • Organizations with auto-scaling Azure VM fleets that benefit from hourly billing
  • Teams wanting synthetic and RUM monitoring alongside Azure infrastructure

Pricing

  • Per-monitor subscription packages with add-ons; entry plans are low-cost and billed monthly or yearly
  • Hourly billing option for cloud monitors including Azure VMs: you pay only while a resource is actively monitored
  • The bill grows with monitor count and add-on packs (logs, APM, synthetic checks)

Pros

  • Discovers and monitors a long list of Azure services (VMs, SQL databases, App Services, storage and more) via an Azure app registration
  • Hourly billing for Azure VMs and other cloud monitors suits elastic workloads
  • Bundles synthetic monitoring, RUM, log management and APM with Azure infrastructure monitoring
  • An Azure VM extension enables guest-level monitoring inside Azure VMs

Cons

  • Azure metrics are polled from Azure APIs, so resolution is minutes rather than seconds
  • The suite is broad but each area is shallower than a specialist tool; APM trails Datadog and Dynatrace
  • Documentation and UI consistency draw periodic criticism in practitioner forums

Verdict

Site24x7 covers this topic’s core services, VMs, Azure SQL and App Service, at mid-market cost, and its hourly billing for cloud monitors is a genuinely useful fit for auto-scaling Azure fleets that per-host models punish. The trade-off is depth: API-polled Azure metrics, adequate-but-thin APM, and a jack-of-all-trades feel across the suite. For teams whose requirements are breadth and affordability rather than diagnostic resolution, it deserves a trial.

Vendor 09 / 10 · #prtg

09

Paessler PRTG

All-in-one on-premises network and infrastructure monitor with a native Azure VM sensor and a partner sensor suite that pulls Azure metrics over the REST API.

Best for

  • Mid-market teams already running PRTG that want to fold Azure VM status into their existing console
  • Organizations that prefer on-premises monitoring infrastructure
  • Network-centric IT teams extending to cloud VMs

Pricing

  • License tiers sized by sensor count; every monitored metric line is a sensor, so the bill grows with what you monitor
  • Perpetual-style licensing with annual maintenance; hosted and MSP editions exist
  • Azure coverage beyond the built-in VM sensor comes from partner sensor packs, which may carry separate licensing

Pros

  • Built-in Microsoft Azure Virtual Machine sensor tracks the status of all Azure VMs in an account, including CPU utilization and remaining CPU credits
  • The partner (AutomonX) suite adds Azure sensors over the Azure REST API, covering IaaS and PaaS services such as Event Hubs, SQL Database and App Service
  • Forecasting uses historical data and time-series methods to project Azure resource trends
  • Mature alerting and notification stack familiar to network teams

Cons

  • Azure coverage is sensor-by-sensor and comparatively shallow; deep Azure service monitoring depends on partner sensors
  • Sensor-based licensing makes broad Azure estates expensive quickly
  • On-premises core means you run and scale the monitoring infrastructure yourself

Verdict

PRTG earns its place as a pragmatic consolidation play: if your team already lives in PRTG for network and server monitoring, the native Azure VM sensor and partner packs bring Azure into the same console without a new platform. It is not an Azure observability tool in the modern sense: no APM, no Azure log pipeline, and coverage that depends on how many sensors you are willing to license and maintain. For existing PRTG shops, folding Azure into the same console is a sensible move; teams starting fresh for Azure should look higher up this list.

Vendor 10 / 10 · #zabbix

10

Zabbix

Open-source, self-hosted monitoring with official Azure by HTTP templates that discover and monitor Azure VMs, databases and cost data via the Azure APIs.

Best for

  • Teams with existing Zabbix deployments that want Azure resources in the same console
  • Organizations with strict data-sovereignty or air-gapped requirements
  • Cost-conscious teams with the in-house skills to run open-source monitoring

Pricing

  • Open source and self-hosted: you run and operate it, and the real cost is infrastructure plus operations (server, database sizing, template maintenance)
  • Optional official technical support subscriptions from Zabbix
  • The bill is your team’s time: Zabbix server upkeep, upgrades and template work

Pros

  • Official Azure by HTTP templates cover Virtual Machines, VM Scale Sets, MySQL and PostgreSQL servers, Azure SQL Database and Managed Instance, Cosmos DB for MongoDB, Cost Management and Azure Backup
  • Works without external scripts and discovers VMs and database servers automatically
  • Authentication via an Azure service principal with reader role, using macros for app ID, tenant and subscription
  • Mature, battle-tested alerting and escalation engine

Cons

  • Azure coverage is template-based and narrower than commercial platforms; newer Azure services need custom templates
  • You operate the Zabbix server, database and upgrades yourself
  • Modern observability features (traces, log analytics, AIOps) are limited compared with dedicated platforms

Verdict

Zabbix is the sovereignty play: official Azure templates cover the topic’s core database and VM monitoring credibly, everything stays inside your network, and the software itself carries no licence fee; the cost is your own infrastructure and effort. That effort is the catch. Template maintenance for a fast-moving Azure service catalog is real work, and teams expecting APM, traces or built-in anomaly detection will not find them. For Zabbix-fluent teams with data-residency constraints, it is a defensible choice; for teams without those constraints, the operational effort is the main trade-off to weigh.

Frequently asked questions