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1
Introduction
2
What is a Region
3
Why Log Management
4
What is a Log
5
Requirements
6
What is Kafka
7
Kafka Consumer Groups
8
Microservices
9
Interesting things
10
Event format
11
Count
12
Common denominator
13
Vector Selector
14
Time formats
15
Data model
16
DevOps methodologies
17
Homeo
18
Behavioral Detection
19
Ransomware Detection
20
The Pyramid of Pain
21
Using Logs
22
Kafka
23
Machine Learning
24
GDPR Considerations
25
Handling Sensitive Data
26
Open Source
27
Moving from Elastic to Greylock
Description:
Explore log management at scale in this GOTO Copenhagen 2017 conference talk. Dive into handling high-velocity, high-variety, and high-volume log data for security, failure detection, and analytics. Learn about Kafka, microservices, event formats, and data models. Discover DevOps methodologies, behavioral detection techniques, and ransomware detection strategies. Understand the Pyramid of Pain concept and how to leverage logs effectively. Gain insights on machine learning applications, GDPR considerations, and handling sensitive data in log management. Follow the journey from Elastic to Greylog and explore open-source solutions for managing logs at scale.

Velocity, Variety & Volume - Gaining Insights from Your Logs at Scale

GOTO Conferences
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