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1
Introduction
2
Logging
3
Challenges
4
Data Source
5
Data Structure
6
Flu Embed
7
Data Pipeline
8
Simple Messages
9
Metadata
10
Record
11
JSON
12
Daemon Set
13
Stream Processing
14
How Stream Processing Works
15
Goal of Stream Processing
16
Stream Processing in Fluent Bit
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Stream Processing in Data Pipeline
18
Time Series Forecasting
19
Internals
20
Synchronous Operations
21
Helpers
22
Performance
Description:
Explore advanced stream processing techniques for edge computing in this 39-minute conference talk from linux.conf.au 2020. Delve into the evolution of logging mechanisms for distributed systems and connected embedded devices. Learn about real-time data analysis, stream processing on the edge, and how to query data using aggregation functions, windowing, and grouping results while it's still in motion and in-memory. Discover the advantages of processing data on edge services or devices, including anomaly detection and distributed machine learning using open-source software. Gain insights into data pipelines, JSON handling, time series forecasting, and performance optimization for edge computing scenarios.

Advanced Stream Processing on the Edge

linux.conf.au
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