While both Nagios and Monit serve monitoring purposes, their architectures reveal fundamental differences:
# Nagios typical configuration example
define host {
host_name web_server
alias Main Web Server
address 192.168.1.100
check_command check-host-alive
max_check_attempts 5
}
# Monit equivalent configuration
check host web_server with address 192.168.1.100
if failed ping then alert
Nagios provides sophisticated notification handling:
define service {
host_name web_server
service_description HTTP
check_command check_http
notification_interval 60
notification_options w,u,c,r
contact_groups admins
}
Monit's approach is more streamlined:
check process nginx with pidfile /var/run/nginx.pid
start program = "/etc/init.d/nginx start"
stop program = "/etc/init.d/nginx stop"
if failed port 80 protocol http then alert
if 5 restarts within 5 cycles then timeout
Nagios shines with its extensive plugin library (over 3000 official plugins):
# Checking MySQL replication status with Nagios
./check_mysql_replication -H db-slave -u monitor -p secret \
--master-host=db-master --critical=60 --warning=30
Monit relies more on built-in capabilities and simple scripting:
check program myscript with path "/usr/local/bin/check_mysql.sh"
if status != 0 then alert
Nagios excels at distributed monitoring scenarios:
# NRPE configuration for remote checks
command[check_disk]=/usr/lib/nagios/plugins/check_disk -w 20% -c 10%
Monit is better suited for local resource monitoring:
check system myserver
if loadavg (1min) > 4 then alert
if memory usage > 75% then alert
if cpu usage (user) > 80% for 5 cycles then alert
Consider Nagios when you need:
- Enterprise-scale monitoring with hundreds of nodes
- Complex notification workflows
- Integration with other IT management systems
Monit works better for:
- Single-server or small cluster monitoring
- Automated recovery actions
- Lightweight resource monitoring
Nagios follows a centralized polling architecture where the server actively checks services at intervals, while Monit employs a decentralized approach with autonomous agents monitoring local resources. This impacts their capabilities in modern distributed systems:
# Nagios service check example
define service {
host_name web-server
service_description HTTP
check_command check_http
max_check_attempts 3
check_interval 5
retry_interval 1
}
# Monit configuration example
check process nginx with pidfile /var/run/nginx.pid
start program = "/etc/init.d/nginx start"
stop program = "/etc/init.d/nginx stop"
if failed port 80 protocol http then restart
if 3 restarts within 5 cycles then timeout
- Scalability: Cluster-aware checks with Nagios XI can monitor 100,000+ nodes
- Reporting: SLA compliance tracking with historical data retention
- Visualization: Geomaps and business process views unavailable in Monit
- API Integration: REST API for CMDB integration and ticketing systems
The autonomous recovery capability makes Monit ideal for:
# Automated certificate renewal handling
check file ssl_cert with path /etc/ssl/certs/website.pem
if changed checksum then exec "/usr/bin/renew_ssl.sh"
alert admin@example.com on { checksum } with reminder on 5 cycles
Metric
Nagios
Monit
CPU Overhead
High (polling)
Low (event-based)
Network Traffic
O(n) to hosts
O(1) local only
Alert Latency
Check interval dependent
Sub-second
Many organizations use Monit for host-level resilience combined with Nagios for centralized visibility:
# Nagios NRPE check calling Monit status
command[check_monit]=/usr/bin/monit status | grep -q "Running" || exit 2
Nagios boasts 5,000+ community plugins versus Monit's limited extension mechanism. However, Monit's integration with systemd offers modern advantages:
# Monit + systemd example
check process app_service matching "systemd --user --unit=app"
if not exist for 3 cycles then exec "/usr/bin/systemctl --user restart app"