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Getting Started with Prometheus Key Terminologies
- This article explains key terminologies in Prometheus for beginners, such as targets, jobs, instances, scrape, and alertmanager.
- Scraping in Prometheus involves collecting metrics data from configured targets at regular intervals via HTTP endpoints.
- Monitoring in Prometheus is the continuous process of collecting, recording, and analyzing data to track application performance and health.
- Alerting in Prometheus involves setting up rules to detect abnormal conditions or thresholds based on collected metrics.
- The Alertmanager in Prometheus is responsible for managing, routing, and delivering alerts effectively to prevent alert fatigue.
- Targets in Prometheus are endpoints or systems where metrics are collected from, typically exposed via HTTP endpoints.
- Instances in Prometheus refer to specific network endpoints where metrics are scraped, representing running copies of target services.
- Jobs in Prometheus are logical groupings of instances serving similar roles, facilitating organization and analysis.
- Samples in Prometheus are numeric values representing metrics at specific points in time stored in the time series database.
- Understanding these terminologies is crucial for setting up effective monitoring and alerting systems in Prometheus.
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