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1
Intro
2
About me
3
Agenda
4
Never delete
5
Data types
6
Challenges
7
Why not use Docker
8
Running Docker locally
9
Interactive Shell
10
Docker Machine
11
Plugins
12
Creating a machine
13
Creating external volumes
14
Creating Docker containers
15
Using Docker containers
16
Multiple containers
17
Container reading
18
Writing to the same file
19
In files
20
In databases
21
File storage
22
Attach to an existing container
23
Kill an existing container
24
Running multiple databases
25
Running my first database
26
Data refresh
27
Scaling access
28
Disaster safe
29
Security
30
Document DB
31
Database as a Service
32
Selfhealing
33
Schema changes
34
Docker Infinite
35
Keep everything in Docker containers
36
Questions
37
Maxs experience
38
Data deduplication
Description:
Explore data persistence techniques in Docker environments through this conference talk. Learn how to reconcile the long-term storage needs of data with the ephemeral nature of Docker containers. Examine various approaches to data persistence, starting with fundamental principles and requirements. Discover different techniques suitable for various scenarios and witness practical demonstrations of these solutions in action. Gain insights into running databases in Docker, managing data refreshes, scaling access, ensuring disaster safety, and implementing security measures. Delve into topics such as document databases, Database as a Service, self-healing systems, and schema changes. Understand the challenges and benefits of keeping everything within Docker containers and explore concepts like data deduplication.

Data + Docker = Discombobulating

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