Presented at the ATO RTP Meetup Presented by Peter Zaitsev, Founder of Percona Title: Modern Database Best Practices Abstract: There are now more Database choices available for developers than ever before - there are general purpose databases and specialized databases, single node and distributed databases, Open Source, Proprietary databases and databases available exclusively in the cloud. In this presentation we will cover the best practices of choosing database(s) for your applications, best practices as it comes to application development as well as managing those databases to achieve best possible performance, security, availability at the lowest cost.

1. Modern Database
Best Practices
Peter Zaitsev,
Founder at Percona
6 Dec, 2023

2. My Perspective
• Involved in Open Source since late 1990s
• Early Staff member of MySQL AB
• Founder, until recently CEO at Percona
• Investor, Advisor, Mentor in Open Source Businesses
• Open Source Advocate
© 2023 Percona 2

3. Better
Everything being Equal Open
Source is a better choice
© 2023 Percona 3

4. It is smarter to invest in your
resources in making Open
Source better rather than
paying for Proprietary
Software
© 2023 Percona 4

5. High Level
This is going to be High Level Conceptual Talk
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6. Who Are you?
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Developer ?
DBA/DBRE/Data Engineer ?
Sysadmin/SRE/DevOps ?
Manager ?

7. Databases
© 2023 Percona 7

8. Structured Data Processing Systems
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9. • Unstructured
• Structured (Our Focus)
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10. Unstructured
Data
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Files
Objects

11. Structured
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Relational
Document
Key Value
Graph
AI Data

12. Behind Structured Data
Storage Tends to be one or
more Unstructured Data
Storage systems
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13. Purpose
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Storage
Processing
Moving - “Data Pipes”

14. Type of
Software
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Open Source
Proprietary
Cloud Only

15. There are lots of things to
consider…
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16. Where do I even start ?
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17. Two Main
Situations
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Starting new Product
Working with existing Environment

18. New Product
Most Important: Get Basics Right
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19. Change
It is typical for successful
products to evolve their
database projects
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20. Scale and
Time
What works for Facebook
will most likely not work for
you
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21. Not about Database
Support in your Development environment is a key
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22. People Matter
Team Skill and Preferences
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23. Simplicity
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24. Common
Technology
Great Stability and
Community Knowledge
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25. Open
Source
Of Course
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26. Exact needs often change at the early stage
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27. Existing
Products
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28. Existing Product
Do you need to change, or is your current choice working
well ?
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29. Migration is Risky, Costly, Complicated
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30. Common Place
No good reason for change (or addition), rather than
someone having an itch
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31. Let’s Look at
Good Reasons to Change (or Add) a Database Technology
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32. Scaling with Least cost And Pain
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33. Maintainability
Keep System Operating at Low Effort, “Toil”
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34. Delivering better response times for application
users
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35. “Total cost of Ownership”
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36. Reliability
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37. Technology Access
Can’t be taken for granted
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38. … especially in the time of
License Changes
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39. Features
Enabling new application
features or simplifying
development
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40. Fit for Purpose
Database is Designed to do
what Application needs to
deliver
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41. Security and
Compliance
Can be harder to achieve with some technologies
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42. Modernization
Often as part of Large Scope
Changes
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43. Experience
Required
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Technology Bus Factor
Do not overestimate “Cloud Fully
Managed”

44. General Best Practices to
Consider
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45. Security
No right for mistake
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46. It is not a matter of IF, but
WHEN you will need them
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47. Learn
How data is stored
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48. Learn
How High Availability is Achieved
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49. How Data is Processed
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50. Developer
Tools
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Profiling
“Explain”

51. Understanding
Latency
Can’t Beat Speed of Light
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52. Automation
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Everywhere
For Everything
More Every Year

53. • Emerging Field
• Optimization
• Code Generation
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54. AI
How do you use AI with Database Environments ?
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55. Thank you, Let’s Connect!
https://www.linkedin.com/in/peterzaitsev/
https://twitter.com/PeterZaitsev
http://www.peterzaitsev.com