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Which Kubernetes PostgreSQL operator should you choose?, with David Pech | KubeFM

KubeFM 712 lượt xem 2 months ago
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This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. https://learnk8s.io/training

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Are you running *PostgreSQL* on *Kubernetes* and need to choose the _right_ operator? In this episode, *David Pech*, Staff Cloud Ops Engineer, shares his experience implementing database platforms on Kubernetes and guides teams through operator selection and platform requirements.

You will learn:

- The core requirements for a *PostgreSQL platform* on Kubernetes, including autopilot capabilities, security practices, and observability
- How to evaluate *PostgreSQL operators* based on their architecture — from single-instance deployments to cloud-native implementations
- What teams should consider before building their own *database-as-a-service* and common pitfalls to avoid
- The distinction between being *production-ready* (running single instances) versus *platform-ready* (operating at scale with proper tooling)

Find all the links and info for this episode here: https://ku.bz/rGMF2ktdb

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Interested in sponsoring a KubeFM episode? https://kube.fm/sponsorships
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CHAPTERS
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00:00 Introduction
01:00 Sponsor: Learnk8s
01:28 David's background and current role
02:24 Journey into cloud native
04:20 Previous career experience
07:05 Staying up to date with Kubernetes
08:29 Being a KubeStronaut
09:14 Career advice and lessons learned
10:04 Postgres operator challenges
15:17 Building a Postgres platform requirements
20:30 Evaluating operator capabilities
27:10 Self-service for Postgres on Kubernetes
29:35 Critical questions before building DBaaS
32:31 Alternatives to running Postgres on Kubernetes
35:13 Categories of Postgres operators
38:08 Why starting small often fails
42:24 Problems with simple Postgres deployment tutorials
43:34 Limitations of Bitnami Helm Chart
45:56 Production-ready vs platform ready
47:28 KubeStronaut certification journey
49:06 What's next and closing thoughts

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