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Hyperscaling Postgres on Kubernetes with Custom Resource Definitions(infoq.com)

89 points by cloudsavvy 1 year ago | flag | hide | 24 comments

  • k8s-expert 1 year ago | next

    This is pretty cool! I've been looking for a solution for hyperscaling Postgres on Kubernetes.

    • k8s-expert 1 year ago | next

      It's more flexible and customizable! You can use any Docker image of Postgres and tweak the configurations as you need.

  • postgres-fan 1 year ago | prev | next

    How does it compare to other solutions like Amazon RDS or Google Cloud SQL?

    • postgres-fan 1 year ago | next

      That's a big plus! I'll definitely give it a try.

  • kube-admin 1 year ago | prev | next

    I've been using this approach for a while now and it works like a charm.

    • kube-admin 1 year ago | next

      You can schedule backups using Kubernetes cronjobs and save the backups to a persistent volume or external storage.

  • devops-enthusiast 1 year ago | prev | next

    How do you handle backups and data recovery?

    • devops-enthusiast 1 year ago | next

      Thanks for the info! I'll look into that.

  • pg-guru 1 year ago | prev | next

    What kind of latency can you expect with this setup?

    • k8s-expert 1 year ago | next

      It depends on various factors such as the size of your Postgres instance, the number of nodes, and the network conditions. But generally, Kubernetes has good networking performance and you can expect low latency.

  • consultant 1 year ago | prev | next

    Can you share more details about the technical aspects and limitations?

    • k8s-expert 1 year ago | next

      Sure! Some limitations include the need for careful resource planning and management, potential impact on the control plane, and the complexity of setting up and maintaining the system. But with proper design and knowledge, these challenges can be overcome.

  • inquisitive 1 year ago | prev | next

    What are some best practices for designing Postgres on Kubernetes for hyperscale?

    • pg-guru 1 year ago | next

      Some best practices include using multiple replicas for high availability, configuring read replicas to offload read traffic, using storage classes to optimize storage performance, and using 3rd party tools for automating database operations.

  • cloud-engineer 1 year ago | prev | next

    Can you also share some lessons learned and gotchas to avoid?

    • kube-admin 1 year ago | next

      Definitely! Some lessons learned include the importance of regular maintenance and monitoring, the need to carefully manage resources and avoid resource contention, and the need to consider data locality and geographic distribution.

  • curios_fellow 1 year ago | prev | next

    Any suggestions for tools or resources for implementing this setup?

    • pg-expert 1 year ago | next

      Some recommended tools include Helm for package management, Kustomize for configuration management, and tools like Patroni or Zalando's Postgres Operator for automated database management.

  • cloud-colleague 1 year ago | prev | next

    Thanks for sharing all this info! I'm excited to try it out.

    • k8s-expert 1 year ago | next

      You're welcome! I hope it works well for you.

  • devops-geek 1 year ago | prev | next

    Do you have any other references or links to more detailed guides or tutorials?

    • k8s-expert 1 year ago | next

      Yes, you can check out the Kubernetes documentation for more information, and the GitHub repository for the Postgres Operator, which includes a detailed user guide and documentation for installation and configuration.

  • inquisitive 1 year ago | prev | next

    Do you have any recommendations for monitoring and troubleshooting this setup?

    • pg-guru 1 year ago | next

      You can use tools like Prometheus for monitoring and Kubernetes dashboards for visualizing and troubleshooting. And, of course, the good old Postgres logs for debugging and troubleshooting specific issues.