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Study mode:
on
1
Intro
2
Prometheus Overview
3
Prometheus Server
4
Metadata
5
Alerting
6
Prometheus Website
7
What makes Prometheus simple
8
Prometheus is a single binary
9
Prometheus has very strict rules
10
Why Prometheus is so popular
11
Prometheus running example
12
Timeseries database
13
Queries
14
Memory Usage
15
Series vs Samples
16
Series Compression
17
Gorilla Compression
18
Understanding Memory Usage
19
Memory Map to Disk
20
Resource Usage
21
Pull Model
22
Retention
23
Target Discovery
24
Network Routing
25
Theoretical example
26
Scale
27
Predictability
28
Prometheus as a Platform
29
Prometheus Kubernetes Integration
30
Coop Prometheus
31
Leverage the ecosystem
32
Conclusion
33
Questions
Description:
Explore key insights and practical knowledge gained from operating Prometheus in this comprehensive conference talk by Red Hat experts Lili Cosic and Frederic Branczyk. Delve into the fundamentals of Prometheus, including its server architecture, metadata handling, and alerting capabilities. Discover why Prometheus has gained popularity and examine its simplicity as a single binary with strict rules. Gain a deeper understanding of Prometheus' inner workings, including time series databases, queries, memory usage, and series compression techniques. Learn about resource management, the pull model, retention policies, and target discovery. Analyze scalability considerations and predictability in Prometheus deployments. Explore Prometheus as a platform, its integration with Kubernetes, and how to leverage the broader ecosystem. Conclude with valuable insights and a Q&A session to enhance your Prometheus expertise.

Lessons Learned from Running Prometheus

Linux Foundation
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