Agent vs Agentless Dependency Mapping Explained
Quick Answer
Agent-based dependency mapping collects telemetry using software agents installed on servers, while agentless dependency mapping analyzes infrastructure through network traffic, APIs, and remote protocols without installing agents.
Agent-Based Discovery
Agent-based tools install monitoring software on each server.
Advantages:
- deep telemetry
- application-level metrics
- detailed process data
Challenges:
- deployment complexity
- infrastructure overhead
- maintenance requirements
Agentless Discovery
Agentless discovery analyzes infrastructure remotely.
Methods include:
- network traffic analysis
- SSH/WMI discovery
- API integrations
- cloud telemetry
Advantages:
- faster deployment
- lower operational overhead
- easier enterprise adoption
Architecture Comparison
Agent-based:
Server → Agent → Telemetry Platform → Dependency Map
Agentless:
Infrastructure → Network Analysis → Discovery Engine → Dependency Map
When to Use Each Approach
Agent-based works best for:
- deep application performance monitoring
- microservice environments
Agentless works best for:
- infrastructure discovery
- migration planning
- large enterprise environments
FAQ
Which approach is better?
Many organizations combine both methods to achieve complete visibility.
Does agentless discovery miss dependencies?
Modern platforms can detect most relationships through network and infrastructure analysis.
CTA
Platforms like Perfonics provide powerful agentless dependency discovery for enterprise infrastructure.