This course focuses on the importance of network telemetry in large-scale production environments and the challenges posed by network changes. The learning outcomes include understanding the significance of network telemetry, identifying the challenges of evolving networks, and exploring solutions like the PCAT system. The course teaches skills such as utilizing change cube abstraction, intent-based layering design, and adaptive telemetry primitives. The teaching method involves presenting real-world incidents, proposing solutions, and sharing experiences with PCAT. The intended audience for this course includes network engineers, system administrators, and individuals interested in network management and monitoring.
Overview
Syllabus
Intro
Network Telemetry is Critical for Network Managem
Key Challenge for Telemetry in Production: Evolvability Network devices and management applications are constantly evolving
Magnitude of Changes
Incident 1: Changes Affect Many Components
Incident 2: Data Misinterpretation
Bringing Changes to First-Class Citizens in Telemetry
PCAT: Production Change-Aware Telemetry System
Change Abstraction: Change Cube
Change Attribution: Three Generations of Telemetry
and Gen2
's Problems
PCAT) Layering Design
Change Exploration: Topology Derivation Creates derived topology from normalized device-level data.
Open Questions: Adaptive Telemetry Primitives
Open Questions: Trustful Telemetry
Summary
Taught by
USENIX
