Push vs Pull Monitoring
Compare telemetry collection models where the monitoring system scrapes targets versus targets sending data outward.
Observability
Pull Monitoring
Pull monitoring means the monitoring system collects telemetry by scraping or requesting data from targets on a schedule. Prometheus is the classic example of this model.
Observability
Push Monitoring
Push monitoring means applications, agents, or services send telemetry outward to a central system. This model is common in managed observability platforms and certain runtime environments.
Key Differences
Pull monitoring fetches telemetry from targets, while push monitoring sends telemetry from targets to the monitoring backend.
Pull makes target discovery and scrape control central, while push gives data producers more direct delivery responsibility.
Pull is well suited to stable services and service discovery patterns, while push is often better for short-lived jobs or constrained environments.
Pull systems naturally observe scrape success and target availability, while push systems may need separate health signaling.
Push can be simpler in environments where central scraping is difficult, while pull is often easier to control consistently in platform environments.
Neither model is universally better; the right choice depends on target lifecycle, network topology, and operational design.
When to Use
When to use Pull Monitoring
Use pull monitoring when you have discoverable long-running targets, centralized scrape control, and a platform environment where periodic scraping is easy and reliable.
When to use Push Monitoring
Use push monitoring when dealing with short-lived jobs, restricted network paths, edge environments, or systems that cannot easily be scraped from a central collector.
Tradeoffs
Pull simplifies centralized collection control, but can be harder for short-lived or hidden targets.
Push is flexible for dynamic or constrained environments, but can complicate lifecycle handling and data consistency.
The best model depends more on environment and system behavior than on abstract tool preference.
Common Mistakes
Forcing pull collection onto short-lived jobs that disappear before they can be scraped.
Choosing push everywhere without considering operational visibility of target health.
Assuming one model is always best regardless of runtime environment.
Interview Tip
A good short answer is: pull means the monitoring system scrapes targets, push means targets send telemetry outward themselves.