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Explore the design philosophy and architecture of Prometheus, the powerful monitoring system and time series database, in this 40-minute talk by Julius Volz. Delve into the Prometheus server's functionality, data model, and label-based approach. Understand its non-sequel nature and binary arithmetic capabilities. Compare pull vs. push methodologies, examine alternatives, and learn about operational bottlenecks and clustering. Gain insights into Prometheus' integration with Ethernet through a live demonstration. Discover why Prometheus has become a cornerstone for monitoring distributed applications in the Docker ecosystem, enabling developers and system administrators to efficiently manage and scale their infrastructure.
Syllabus
Intro
Background
Prometheus Server
What doesnt Prometheus do
Visual examples
Data model
Labelbased
Non sequel
Binary arithmetic
Conclusion
Pull vs Push
Alternatives
Operational bottleneck
Clustering
Ethernet
Demo
Taught by
Docker