Buyer’s Guide - August 2026

The 11 best Apache monitoring tools, ranked

Q: What is mod_status and how do I enable it?

mod_status is Apache’s built-in status module; it exposes machine-readable server metrics at the server-status?auto endpoint. ExtendedStatus, enabled by default since Apache 2.3.6, unlocks the richer metrics such as requests per second, bytes per second, and uptime. Whatever tool you choose, restrict access to the status page so it is not publicly readable.

Q: Can I monitor Apache per virtual host?

Not through mod_status, which reports per-instance, not per-vhost. Per-vhost visibility requires log-based analysis: Netdata’s web_log collector builds per-vhost request charts from access logs, and Datadog log management or an ELK-style pipeline can do the same. If multi-tenant vhosts matter to you, check that your shortlisted tool has a log path, not just a mod_status path.

Apache’s interesting signals live in mod_status and access logs, not in OS-level CPU charts. We ranked 11 tools on how deeply they collect scoreboard and worker metrics, how fast they poll, and how painful the bill gets. Every tool here was verified to actually collect Apache mod_status or Apache log data, not just to run on the same host.

Start with Netdata (free) Jump to rankings

The 11 best Apache monitoring tools, ranked product interface

Why this list exists

Apache monitoring is a narrower problem than generic server monitoring, and that is exactly why buyers get it wrong. The signals that tell you an Apache server is about to fall over, busy workers climbing toward MaxWorkers, scoreboard states piling up in keepalive, requests per second diverging from baseline, live in mod_status. Per-request diagnosis lives in the access logs. A tool that polls OS metrics on the same host, or one that only ingests logs, will leave you blind at the moment it matters.

The mistake we see most often is picking a general infrastructure platform and assuming it understands Apache out of the box, or picking a log analyzer and missing real-time worker exhaustion. Three dimensions decide whether a tool actually works for this job:

Apache-specific coverage. Does it collect the full mod_status metric set (workers, scoreboard states, connections, throughput, uptime), and does it add per-vhost or log-based analysis on top?
Collection granularity. Worker exhaustion happens in seconds. A 60-second poll averages the spike away; per-second collection shows it.
Time to value and bill shape. Auto-discovery and pre-built alerts beat assembling exporters, dashboards, and alert rules. And a pricing model that grows with data volume punishes exactly the verbose access logs you want to keep.

One ground rule for this page: we do not quote competitor list prices. Pricing pages change, negotiated rates differ, and a stale dollar figure helps no one. Instead we describe each tool’s pricing shape, what makes the bill grow, and link the official pricing page on every card. Netdata’s own pricing is stated plainly on its card.

If you are operating Apache today and want the practical side, our operator guides for Apache httpd walk through enabling mod_status, reading the scoreboard, and tuning worker limits alongside whatever monitoring tool you choose.

The shortlist started from tools repeatedly named in practitioner comparisons of Apache monitoring, then was filtered hard: every tool on this page had to verifiably collect Apache mod_status metrics or Apache log data through a documented integration, template, exporter, sensor, or plugin. Tools that merely monitor the host OS, or that mention Apache in marketing copy without a real data path, were cut.

Apache-specific coverage carries the most weight because depth of mod_status metrics is the whole point of the category. Granularity comes next, because collection interval determines whether short-lived worker and connection spikes are even visible. Alerting, time to value, fleet scalability, cost of ownership, and ecosystem integration round out the scoring.

Tester credit

Compiled by the Netdata team - Updated August 12, 2026

Sources verified

Scoring criteria

Apache-specific coverage 25%
Depth of mod_status metrics plus per-vhost or log-based analysis.
Metric granularity 15%
Per-second collection beats minute-level polling for catching exhaustion events.
Alerting and anomaly detection 15%
Out-of-the-box alerts for downtime, worker exhaustion, and error rates, plus ML where available.
Time to value 15%
Auto-discovery and pre-built dashboards versus manual exporter and query setup.
Fleet scalability 10%
Multi-instance support, central fleet views, per-vhost visibility as nodes grow.
Total cost of ownership 10%
Pricing shape and what makes the bill grow, plus self-hosting operational cost.
Ecosystem and integration 10%
Correlation with logs, APM, and export options like Prometheus remote write or Grafana.

Vendor 01 / 11 · #netdata

Netdata

Real-time, zero-configuration agent that polls Apache mod_status every second and layers built-in ML anomaly detection on top.

Best for

Teams that want per-second Apache metrics without building dashboards or writing queries
SREs and sysadmins who want ML-based anomaly detection on web server metrics
Fleets that want predictable per-node pricing instead of per-GB or per-metric bills

Pricing

Per-node: Netdata Cloud Business from $4.50/node/month on annual plans, with the per-node price decreasing as node count grows
Free Community tier for small fleets, capped by connected node count
Agent is open source and free forever; paid plans include unlimited metrics, logs, users, and retention

Pros

Apache collector polls mod_status every second: connections, workers, scoreboard states, requests/sec, bandwidth, uptime
Auto-detects Apache on localhost with zero configuration; supports multiple instances including remote ones
web_log collector parses Apache access logs in real time for per-request and per-vhost analysis
Built-in unsupervised ML trains per metric and claims 99% false-positive reduction in anomaly detection
800+ integrations with pre-configured alerts across the stack; custom dashboards with no query language
Open source agent with optional Netdata Cloud for fleet-wide views

Where teams pair it

The Apache collector reports per-instance metrics; per-virtual-host breakdown comes from the web_log collector instead
The Apache integration ships without default alert thresholds; alerts are user-configured, with ML anomaly detection as the out-of-the-box signal
Not a raw-log warehouse: months of forensic access-log querying is better paired with a dedicated log analytics platform

Verdict

Netdata leads this list because it is the only tool here that combines per-second mod_status collection, zero-configuration auto-discovery, real-time access-log parsing, and built-in ML anomaly detection in a single open-source agent. You install it, it finds Apache, and dashboards appear with no query language and no exporter wiring. Per-node pricing keeps the bill predictable where usage-based tools punish you for exactly the log volume you want. The honest caveat: per-vhost visibility runs through the web_log collector rather than the Apache collector, and threshold-based Apache alerts are yours to configure, with ML doing the out-of-the-box heavy lifting.

Start free -> See web server monitoring ->

Vendor 02 / 11 · #datadog

Datadog

SaaS observability platform whose first-party Apache integration collects mod_status metrics through the Datadog Agent.

Best for

Organizations already standardizing on Datadog for APM, logs, and real-user monitoring
Teams that want Apache metrics correlated with application traces and user experience

Pricing

Per-host subscription for infrastructure monitoring, with separate usage-based modules for APM, logs, and custom metrics
Bill grows with host count, log ingest, and custom metric volume
Limited free tier capped by host count

Pros

Apache check collects 20+ metrics including full scoreboard states, busy/idle workers, throughput, and CPU load
Requires mod_status with ExtendedStatus; supports multiple Apache instances per Agent
Apache log collection built into the Agent
Hundreds of turnkey integrations for correlating Apache with the rest of the stack

Cons

Cost scales with hosts, custom metrics, and log ingest; full-stack visibility requires multiple paid modules
Collection cadence is Agent-check based, not per-second, so short worker-exhaustion bursts can be missed
Setup and configuration are more involved than zero-configuration alternatives

Verdict

Datadog has the deepest first-party Apache integration of any SaaS platform on this list, and the correlation story is real: mod_status metrics next to APM traces, logs, and real-user data in one place. The trade-offs are the cadence, which is Agent-check based rather than per-second, and a bill that grows along three axes at once: hosts, custom metrics, and log ingest. If you already pay for Datadog, enabling the Apache check is the obvious move. If you are choosing a tool primarily for Apache, the cost shape deserves scrutiny first.

Read full Netdata vs Datadog -> Datadog pricing ->

Vendor 03 / 11 · #prometheus

Prometheus + apache_exporter

Open-source metrics stack; the apache_exporter scrapes mod_status and exposes worker, scoreboard, and throughput metrics for Prometheus.

Best for

Kubernetes and CNCF-centric teams already running Prometheus
Engineers comfortable with PromQL and building their own dashboards and alert rules

Pricing

Open source and self-hosted: you run and operate Prometheus, exporters, and storage yourself
Cost is infrastructure and engineering time, not license fees

Pros

apache_exporter exposes scoreboard states, workers, CPU load, uptime, version, and totals; tested on Apache 2.2 and 2.4
PromQL rate() derives requests/sec and bytes/sec from counters
Community Grafana dashboards and monitoring mixins available
CNCF-graduated project with a large ecosystem

Cons

No built-in Apache dashboards or alert rules; you assemble them yourself
One exporter process per Apache instance; multi-instance requires orchestration
Default scrape interval is 1 minute, so per-second resolution requires explicit configuration
ExtendedStatus must be enabled for the full metric set

Verdict

Prometheus plus apache_exporter is the open-source standard for Apache metrics, and the exporter itself is solid: scoreboard states, workers, uptime, and counters you can turn into rates with PromQL. What you are buying with your time is everything around it: dashboards, alert rules, one exporter per instance, and a scrape interval tuned down from the 1-minute default if you want to see short spikes. Teams already invested in the Prometheus ecosystem will find this natural. Teams starting fresh should price the assembly work honestly.

Read full Netdata vs Prometheus -> Prometheus project site ->

Vendor 04 / 11 · #zabbix

Zabbix

Open-source full-stack monitoring with official Apache templates that poll mod_status through the Zabbix agent or over HTTP.

Best for

Organizations that want open-source monitoring with templates and triggers out of the box
Large fleets already invested in Zabbix server infrastructure

Pricing

Open source and self-hosted; optional paid support and training
Cost is the infrastructure you run it on plus staff time

Pros

Two official templates, ‘Apache by Zabbix agent’ and ‘Apache by HTTP’, with no external scripts
Collects scoreboard worker states, requests/sec, bytes, uptime, version, and Apache process CPU and memory
Ships triggers for service down, high response time, restarts, and version changes
Event MPM discovery adds async connection metrics automatically

Cons

Template polling cadence is per-item and typically minute-level, not per-second
Requires running and tuning a Zabbix server, database, and agents
Advanced customization has a steep learning curve

Verdict

Zabbix offers the best out-of-the-box Apache coverage of any self-hosted open-source tool here: official templates, built-in triggers for downtime and slow responses, and process-level CPU and memory alongside the mod_status metrics. It earns its rank on that completeness. What holds it back is resolution and weight: per-item polling is typically minute-level, and you are committing to operating a Zabbix server, its database, and its agents. For fleets already on Zabbix, the Apache templates are a clear win.

Read full Netdata vs Zabbix -> Zabbix pricing ->

Vendor 05 / 11 · #grafana-cloud

Grafana Cloud

Hosted observability platform with a pre-built Apache HTTP Server integration that collects metrics through Grafana Alloy.

Best for

Teams that want Grafana dashboards without operating the stack
Organizations standardizing on Grafana for visualization across tools

Pricing

Usage-based on metrics series, logs, and traces ingested
Free tier capped by metrics series count and user count
Bill grows with data volume, not node count

Pros

Pre-configured Apache dashboards and alerts for requests/sec, response time, and error rates
Apache logs signal alongside metrics
One-line Alloy install for metric collection
Free tier for small setups

Cons

Apache monitoring depends on the Prometheus exporter plus the Alloy pipeline, so depth matches the exporter
Usage-based pricing grows with series and log volume
Per-second resolution requires explicit scrape configuration

Verdict

Grafana Cloud is the fastest path to a polished Apache dashboard if you want Grafana’s visualization without running Grafana. The integration ships pre-built dashboards and alerts, and the Alloy install is genuinely simple. Understand what sits underneath: the data comes from the same Prometheus-style exporter pipeline you could run yourself, so metric depth and scrape resolution are exporter-bound, and the bill is usage-based, which means verbose Apache access logs cost money to keep. Good turnkey option; know what you are paying for.

Read full Netdata vs Grafana -> Grafana Cloud pricing ->

Vendor 06 / 11 · #new-relic

New Relic

Usage-based observability platform with an Apache HTTPD quickstart that installs dashboards and alerts for worker status and request rates.

Best for

Teams that want Apache metrics alongside APM, browser, and mobile observability
Organizations comfortable with NRQL for custom queries

Pricing

Usage-based on data ingest, with a free tier that includes a monthly ingest allowance
Bill grows with ingested metrics, logs, and traces

Pros

Apache HTTPD quickstart ships one dashboard and four alerts covering requests/sec, CPU, memory, and processor count
Tracks servers reporting, requests per second by server, and worker status
Correlates Apache with application performance and user experience data

Cons

Cost scales with data ingest; heavy log and metric volume raises the bill
Apache monitoring rides on the infrastructure agent plus quickstart, not a dedicated collector
Custom analysis requires learning NRQL

Verdict

New Relic’s Apache quickstart is one of the better turnkey experiences in the observability-platform category: a dashboard and four alerts in minutes, covering the metrics that matter. It sits below Grafana Cloud here mainly because Apache monitoring rides on the general infrastructure agent rather than a dedicated collector, and the ingest-based bill grows with exactly the data a busy web server produces. If New Relic is already your APM home, the quickstart is worth enabling. As an Apache-first choice, the cost model and NRQL dependency weigh against it.

Read full Netdata vs New Relic -> New Relic pricing ->

Vendor 07 / 11 · #dynatrace

Dynatrace

Enterprise observability platform that automatically discovers Apache processes and monitors them with AI-driven root-cause analysis.

Best for

Large enterprises wanting automatic discovery and AI-assisted root cause across the stack
Teams that need Apache metrics tied to real-user and synthetic monitoring

Pricing

Consumption-based platform pricing; Apache monitoring is part of infrastructure and full-stack coverage
Bill grows with monitored hosts and data consumption

Pros

Automatic Apache process discovery with CPU and memory insights, no manual integration
Correlates Apache metrics with real-user and synthetic monitoring
AI-driven problem detection and root-cause analysis
Setup in minutes via OneAgent

Cons

Enterprise pricing and complexity are overkill for small deployments
Dashboard customization is more limited than dedicated visualization tools

Verdict

Dynatrace’s strength is that you do nothing: OneAgent finds Apache processes on its own and starts reporting, with AI-driven problem detection correlating what it sees against the rest of your stack. For a large enterprise already licensed, that is excellent. The Apache-specific surface, however, is automatic rather than deep, and the platform’s cost and complexity are sized for organizations with dedicated observability teams. Rank it highly if you are an enterprise buyer; look elsewhere if Apache is the primary problem you are solving.

Read full Netdata vs Dynatrace -> Dynatrace pricing ->

Vendor 08 / 11 · #prtg

PRTG Network Monitor

Agentless on-premises monitoring suite with dedicated Apache mod_status sensors for worker, throughput, and uptime metrics.

Best for

Windows-centric IT teams that want agentless monitoring across many device types
Shops that prefer a single on-premises console for network, server, and web monitoring

Pricing

Per-sensor and per-device license tiers; free edition capped by sensor count
Bill grows with the number of sensors and devices monitored

Pros

Dedicated HTTP Apache ModStatus PerfStats and Totals sensors collect workers, requests/sec, bytes/request, and uptime
Agentless: queries mod_status over HTTP/HTTPS with no software on the web server
60-second polling with configurable intervals; log file and syslog monitoring for Apache
SSL certificate validation and remote probes for distributed sites

Cons

Sensor-based licensing grows with every monitored element
60-second default polling is coarser than per-second tools
Core server runs on Windows, which limits some Linux-centric shops

Verdict

PRTG’s Apache sensors are a genuinely good fit for the audience they target: Windows-centric IT teams who want mod_status numbers without installing anything on the web server. The PerfStats and Totals sensors cover workers, throughput, and uptime, and agentless polling over HTTP keeps deployment simple. The limits are structural: 60-second default polling smooths over short exhaustion events, per-sensor licensing means every element you monitor adds cost, and the Windows-only core server is a non-starter for some Linux shops.

Read full Netdata vs PRTG -> PRTG pricing ->

Vendor 09 / 11 · #site24x7

Site24x7

SaaS monitoring platform with a free Apache plugin that collects mod_status metrics through the Site24x7 agent.

Best for

SMBs that want quick SaaS-based Apache monitoring with threshold alerts
Teams already using Site24x7 for website and server monitoring

Pricing

Per-monitor subscription; Apache plugin monitors priced per plugin monitor
Bill grows with monitor count and paid add-ons

Pros

Apache plugin collects 20+ metrics: workers, connections, load averages, CPU, bytes/sec, version
mod_status-based with AppLogs integration for Apache access logs
Threshold alerts and custom dashboards; bulk deployment via Ansible

Cons

Requires the Site24x7 agent on the Apache host and connectivity to the Site24x7 cloud
Plugin monitors beyond the included one are priced per monitor
Metric depth is plugin-defined; no per-vhost breakdown

Verdict

Site24x7 is the SMB-friendly option on this list: an agent, a plugin, and you have 20-plus Apache metrics with threshold alerts in a hosted console. The AppLogs integration extends it into access-log analysis, which not every tool at this end of the market offers. The ceiling is the plugin model itself: the metric set is fixed by what the plugin defines, there is no per-vhost breakdown, and costs accrue per monitor as you add servers. Sensible for small fleets that want simple; limiting for teams that outgrow fixed dashboards.

Read full Netdata vs Site24x7 -> Site24x7 pricing ->

Vendor 10 / 11 · #manageengine

ManageEngine Applications Manager

On-premises application and server monitoring with a dedicated Apache monitor covering workers, connections, and ExtendedStatus metrics.

Best for

IT teams that want on-premises Apache monitoring with capacity planning
Organizations already running ManageEngine or Zoho tools

Pricing

Per-monitor license tiers; free edition for small setups capped by monitored objects
Bill grows with monitor count

Pros

Dedicated Apache monitor: response time, requests, busy/idle workers, async connections, system load
Tracks ExtendedStatus metrics such as bytes/request and bytes/sec
Dynamic baselines, ML-based forecasting, and capacity planning reports
Alerts via email and SMS with threshold configuration

Cons

On-premises deployment only; no SaaS option
Per-monitor licensing adds cost as the fleet grows
Windows or Linux server installation and maintenance required

Verdict

Applications Manager has a real, dedicated Apache monitor rather than a bolt-on: workers, async connections, ExtendedStatus throughput metrics, plus forecasting and capacity planning reports that most tools on this list do not attempt. That earns it a place for on-premises teams planning web tier growth. It ranks here rather than higher because there is no SaaS option, per-monitor licensing grows with the fleet, and you own the installation and upkeep of the monitoring server itself.

Read full Netdata vs ManageEngine -> ManageEngine pricing ->

Vendor 11 / 11 · #nagios

Nagios

Veteran open-source monitoring platform; Apache monitoring is done through mod_status plugins from the Nagios Exchange.

Best for

Experienced administrators who want a highly customizable, plugin-driven platform
Organizations already running Nagios for the rest of their infrastructure

Pricing

Open source Nagios Core, self-hosted; commercial Nagios XI subscription for the enterprise edition
Cost is infrastructure plus optional commercial support

Pros

check_apache family of plugins polls mod_status for workers, requests/sec, and traffic
Apache log monitoring for pattern and error detection
Huge plugin ecosystem; can export data to Grafana for richer dashboards

Cons

Apache monitoring depends on community plugins, not a first-party integration
Plugin configuration is CLI-based with no GUI; steep learning curve
Not SaaS: you operate the server, database, and agents yourself

Verdict

Nagios can monitor Apache well, and plenty of infrastructures have done exactly that for years. The check_apache plugins cover workers, throughput, and traffic, and the plugin ecosystem is enormous. But it lands last here because the experience is assembled rather than delivered: community plugins instead of a first-party integration, CLI configuration, and you operating the whole stack yourself. If Nagios already runs your infrastructure, adding Apache checks is trivial. Starting a Nagios deployment today just for Apache is hard to justify against the tools ranked above it.

Read full Netdata vs Nagios -> Nagios XI pricing ->

Frequently asked questions

How do I monitor Apache HTTP server performance?

Enable the mod_status module and ExtendedStatus so Apache exposes its metrics at server-status?auto, then point a monitoring tool at it. Netdata auto-discovers a local Apache instance and charts workers, requests per second, and scoreboard states every second with no configuration. The key metrics to watch are busy and idle workers, requests per second, bytes per second, CPU and memory, and uptime.

What is mod_status and how do I enable it?

What Apache metrics should I monitor?

Start with busy versus idle workers: sustained low idle workers signals worker exhaustion and request queuing, which is the failure mode that takes Apache down. Track the scoreboard states (waiting, reading, sending, keepalive, closing, DNS lookup) to see where connections are stuck. Add requests per second, bytes per second, CPU and memory, uptime, and async connection states if you run the event MPM.

What is the difference between mod_status metrics and access-log monitoring?

mod_status gives you server-state snapshots: how many workers are busy, how many connections exist, and current throughput. Access logs give per-request records: URL, status code, client, and response size. You want both; mod_status tells you the server is struggling, logs tell you which requests caused it. Netdata does both with its mod_status collector plus web_log, and Datadog and Site24x7 AppLogs combine the two as well.

What is the best free or open-source Apache monitoring tool?

The Netdata agent is open source, free forever, collects per-second, and requires zero configuration for Apache. Prometheus plus apache_exporter is the open-source metrics standard but requires you to assemble exporters, dashboards, and alert rules. Zabbix ships official Apache templates with triggers out of the box. Remember that open source means you operate it yourself; infrastructure and staff time are real costs even when the license is not.

How often should I collect Apache metrics?

You should aim for per-second collection if possible, because worker exhaustion and connection spikes happen in seconds and minute-level polling averages them away. A 60-second poll, the default for PRTG sensors, typical Zabbix template items, and the Prometheus default scrape interval, can miss a burst entirely if it rises and falls between samples. Netdata collects every second by default; Prometheus can be configured faster than its 1-minute default if you tune the scrape interval.

Can I monitor Apache per virtual host?

How do I alert on Apache worker exhaustion?

Set threshold alerts on busy workers approaching MaxWorkers, and pair them with response time and 5xx error rate alerts so you catch both saturation and its symptoms. Zabbix’s templates and New Relic’s quickstart ship Apache alerts out of the box. ML-based anomaly detection, as in Netdata, catches deviations from learned baselines without hand-tuned thresholds, which helps when ’normal’ traffic varies through the day.

The 11 best Apache monitoring tools, ranked

How we evaluated Apache monitoring tools

Netdata

Datadog

Prometheus + apache_exporter

Zabbix

Grafana Cloud

New Relic

Dynatrace

PRTG Network Monitor

Site24x7

ManageEngine Applications Manager

Nagios

Frequently asked questions

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