YoVDO

Why Large-Scale Observability Needs Graph

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Observability Courses Distributed Systems Courses Graph Databases Courses Root Cause Analysis Courses Data Management Courses Scalability Courses Service Mesh Courses

Course Description

Overview

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Explore the critical role of graph technology in large-scale observability systems during this 26-minute conference talk from KubeCon + CloudNativeCon Europe 2023. Delve into the challenges of managing increasing volumes of observability data and discover how graph concepts can provide a missing link in understanding complex system states. Learn about the application of graph databases like neo4j, AWS Neptune, and Azure Cosmos in mainstream technology. Examine emerging trends in the observability community, including Jaeger service graph, Backstage service catalog, and eBay's Groot tool for root cause analysis. Gain insights into the opportunities and challenges of leveraging graph-based approaches to extract more meaningful answers from observability data, and consider the potential need for an open standard in observability graph modeling.

Syllabus

Intro
Observability challenges
We've been missing something...
Control system observability
Software system observability Where is the problem?
Small-scale application
Large-scale application(s)
The model is a graph
Graph 101
Can graph be used to model our systems?
Extending our scope of observability
Do we need an open standard for the "observability graph"?


Taught by

CNCF [Cloud Native Computing Foundation]

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