1. What is the Architecture of Prometheus Monitoring?
Prometheus, initiated by SoundCloud in 2012 and currently managed by the Cloud Native Computing Foundation (CNCF), serves as an open-source monitoring system. It plays a crucial role in overseeing distributed systems.
The architectural framework of the Prometheus monitoring system comprises multiple components collaborating to gather and retain time-series data. This design operates on a pull model, where Prometheus routinely retrieves data from the designated targets.
2. What are the Features of Prometheus?
Key Features:
Robust Query Capability: Prometheus offers a potent query language known as PromQL, facilitating the interrogation of time-series data and the creation of comprehensive graphs and dashboards.
Multi-dimensional Data Support: The system accommodates multi-dimensional data through labels, enabling adaptable querying and aggregation, enhancing flexibility in data analysis.
Automated Service Discovery: Streamlining the addition of new monitoring targets, Prometheus incorporates an automatic service discovery feature, simplifying the overall monitoring setup.
Efficient Data Management: Through time-series data retention and compaction, Prometheus ensures the efficient storage and retrieval of historical data, optimizing resource usage.
Flexible Alerting System: The platform includes a versatile alerting system with advanced alerting rules and support for various notification channels, enhancing its adaptability in responding to diverse monitoring scenarios.
3. What are the Components of Prometheus?
Key Components:
Prometheus Server: At the heart of the architecture, the Prometheus server serves as the central element for collecting, storing, and querying time-series data.
Exporters: Acting as agents on monitored targets, exporters gather metrics data. Prometheus seamlessly integrates with a diverse array of exporters designed for different systems and services.
Alertmanager: Responsible for managing alerts generated by Prometheus, the Alertmanager handles the dispatching of notifications across various channels, such as email, Slack, or PagerDuty.
Pushgateway: Enabling the transmission of metrics data to Prometheus from batch jobs, scripts, or other non-service targets, the Pushgateway serves as a pivotal component for scenarios involving data push mechanisms.
4. What database is used by Prometheus?
Prometheus employs a specialized time-series database known as TSDB (Time-Series Database). Crafted to manage substantial write and query demands, TSDB is engineered for efficient storage and retrieval of time-series data.
5. What is the default data retention period in Prometheus?
The default data retention duration in Prometheus is set at 15 days, but this timeframe can be customized by adjusting the storage retention time within the Prometheus configuration file. Once data surpasses the specified retention period, the TSDB automatically removes it.
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