Monitoring

Meet Mon

Koder Mon is a comprehensive infrastructure monitoring platform that collects metrics from servers, containers, databases, and applications. With real-time dashboards, intelligent alerting, and automatic anomaly detection, you'll know about problems before your users do.

Download View on Flow

# PromQL-compatible queries
# CPU usage per host
avg(rate(
  node_cpu_seconds_total{mode!="idle"}[5m]
)) by (instance) * 100

# Memory usage percentage
(1 - node_memory_AvailableBytes
     / node_memory_MemTotalBytes) * 100

# HTTP error rate
sum(rate(
  http_requests_total{status=~"5.."}[5m]
)) / sum(rate(
  http_requests_total[5m]
))

Features

Everything you need, built from the ground up.

⚡
Universal Metric Collection

Collect metrics from servers, containers, Kubernetes, databases, cloud providers, and custom applications. Prometheus-compatible with native OTLP support.

⚖
Real-Time Dashboards

Build interactive dashboards with drag-and-drop widgets. Line charts, heatmaps, gauges, tables, and topology maps — all updating in real time.

⚙
Intelligent Alerting

Threshold, rate-of-change, and anomaly-based alerts. Alert routing, escalation policies, silencing, and deduplication reduce noise and alert fatigue.

☁
Auto-Discovery

Automatically discover and monitor new hosts, containers, and services as they appear. No manual configuration needed for dynamic environments.

🔒
Long-Term Storage

Efficient time-series storage with downsampling and compression. Keep years of metrics at full resolution for trend analysis and capacity planning.

⏲
Integrations Ecosystem

400+ integrations for databases, message queues, web servers, cloud services, and more. Pre-built dashboards and alerts for every integration.

Agent Configuration

Lightweight agent with auto-discovery and plugin-based collection.

Single binary agent with minimal resource usage
Auto-discovers services via labels and annotations
Plugin system for custom metric collectors

# koder-mon-agent.yaml
server: "https://mon.local:9091"
api_key: "km_abc123..."
collectors:
  - type: system
    interval: "10s"
  - type: docker
    interval: "15s"
  - type: postgresql
    dsn: "postgres://mon@localhost/app"
    interval: "30s"
auto_discover: true

Alert Rules

Flexible alerting with routing, grouping, and escalation.

Threshold, rate-of-change, and anomaly alerts
Alert routing by severity, team, and service
Escalation chains with configurable timeouts

# alerts.yaml
groups:
  - name: infrastructure
    rules:
      - alert: HighCPU
        expr: "cpu_usage > 90"
        for: "5m"
        severity: warning
        notify: infra-team
      - alert: DiskFull
        expr: "disk_usage > 95"
        for: "1m"
        severity: critical
        escalate:
          after: "15m"
          to: on-call

Dashboard as Code

Define dashboards in YAML and version-control them.

Declarative dashboard definitions
Import/export for sharing and backup
Template variables for reusable dashboards

# dashboard.yaml
title: "System Overview"
variables:
  - name: host
    query: "label_values(instance)"
panels:
  - title: "CPU Usage"
    type: timeseries
    query: "cpu_usage{instance='$host'}"
    thresholds: [80, 95]
  - title: "Memory"
    type: gauge
    query: "memory_usage{instance='$host'}"

How It Compares

See how Koder Mon stacks up against the competition.

Feature	Koder Mon	Prometheus	Zabbix	Datadog
PromQL compatible	✓	✓	—	Partial
Built-in dashboards	✓	—	✓	✓
Auto-discovery	✓	Partial	✓	✓
Long-term storage	✓	Partial	✓	✓
Anomaly detection	✓	—	—	✓
Alert escalation	✓	—	✓	✓
Self-hosted	✓	✓	✓	—
Free & open source	✓	✓	✓	—

Frequently Asked Questions

Yes. Koder Mon speaks PromQL, scrapes Prometheus exporters, and accepts remote-write data. You can migrate from Prometheus without changing your existing exporters or alert rules.

Koder Mon provides similar features — dashboards, alerting, auto-discovery, and 400+ integrations — but runs self-hosted with no per-host pricing. Your data stays on your infrastructure.

Koder Mon has native Kubernetes support. It auto-discovers pods, services, and nodes, collects cluster metrics, and provides pre-built dashboards for workload health, resource usage, and pod lifecycle.

As long as you have storage. Koder Mon uses efficient time-series compression with automatic downsampling — raw data for recent periods, aggregated data for historical analysis. Typical setups retain years of metrics.

Yes. Cloud integrations collect metrics from AWS CloudWatch, GCP Monitoring, and Azure Monitor. Pre-built dashboards are available for common services like RDS, EC2, S3, Cloud SQL, and more.

Meet Mon

Features

⚡Universal Metric Collection

⚖Real-Time Dashboards

⚙Intelligent Alerting

☁Auto-Discovery

🔒Long-Term Storage

⏲Integrations Ecosystem