Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Datadog Infrastructure Monitoring in infrastructure monitoring workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
These projects match the most common migration paths for teams replacing Datadog Infrastructure Monitoring.
Why teams pick it
DevOps teams needing self-hosted monitoring with full data sovereignty
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Datadog Infrastructure Monitoring.
Why teams pick it
Launch quickly with streamlined setup and onboarding.
Self-hosted uptime and infrastructure monitoring with real-time alerts
Why teams choose it
Watch for
Requires MongoDB and Redis dependencies for full functionality
Migration highlight
Multi-Region Website Uptime Tracking
Monitor 100+ customer-facing websites every minute with instant Slack alerts on downtime, reducing mean time to detection by 80%
Scalable, agent‑based monitoring for cloud‑native, distributed systems
Comprehensive monitoring for networks, servers, and applications
Flexible monitoring system with powerful queries and autonomous servers
Scalable, Python‑based monitoring framework compatible with Nagios
Why teams choose it
Unified monitoring for servers, containers, and cloud workloads
Scalable monitoring server with powerful DSL and REST API
Lightweight Perl‑based tool for comprehensive Linux system monitoring
Why teams choose it
Teams replacing Datadog Infrastructure Monitoring in infrastructure monitoring workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Datadog Infrastructure Monitoring.
Why teams choose it
Watch for
Building from source requires Go ≥1.18
Migration highlight
Auto‑discover services in Kubernetes clusters
Agents automatically register new pods, and health checks trigger alerts when containers become unhealthy.
Why teams choose it
Watch for
Initial configuration can be complex for newcomers
Migration highlight
Enterprise network topology mapping
Automatically discovers devices, builds live maps, and correlates events to reduce troubleshooting time.
Why teams choose it
Watch for
Scaling beyond a single node requires federation
Migration highlight
Cluster health monitoring
Continuously scrapes node and pod metrics, alerts on resource exhaustion, and visualizes trends via Grafana.
Watch for
Requires Python runtime, adding a dependency layer
Migration highlight
Migrate existing Nagios setup to a scalable architecture
Retain all current host/service definitions while gaining modular scaling and Python extensibility.
Why teams choose it
Watch for
Advanced features require a commercial Enterprise or Cloud license
Migration highlight
Server health monitoring
Real‑time alerts and performance metrics across physical and virtual servers
Why teams choose it
Watch for
Steeper learning curve for DSL and distributed setup
Migration highlight
Distributed data‑center health monitoring
Collects status and performance from servers across sites, alerts on failures, and visualizes trends centrally.
Watch for
Limited to Linux/Unix platforms
Migration highlight
Track web server health
Identify CPU spikes and memory leaks on Apache/Nginx, enabling timely remediation