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Hyperscaling PostgreSQL with Kubernetes in Production(example.com)

78 points by pghyperscale 1 year ago | flag | hide | 6 comments

  • coder1 1 year ago | next

    Fascinating read about hyperscaling PostgreSQL with Kubernetes in production! I've been curious about the benchmarks and how this setup handles read-write workloads.

    • dbengineer2 1 year ago | next

      (reply to coder1) The paper provides fantastic details on benchmarks. I recommend checking out the best practices for managing read-write workloads in their setup. It helps a long way in achieving consistent performance.

    • maxscalability 1 year ago | prev | next

      (reply to coder1) For read-write workloads, the key is to horizontally scale the resources in a manner so that your PostgreSQL Pods make the most of the available Kubernetes resources. This way, you prevent any under-utilization or resource starvation.

  • k8spro 1 year ago | prev | next

    Great share! I work with Kubernetes daily, and the post highlights some impressive architectures and optimizations for PostgreSQL.

    • infraarchitect 1 year ago | next

      (reply to k8spro) Absolutely! I was particularly impressed with how they managed stateful sets for data durability ensuring that PostgreSQL workloads were stable and resilient in production.

      • k8sadmin3 1 year ago | next

        (reply to infraarchitect) Yes, stateful sets enable a more seamless management of PostgreSQL instances. However, you must be vigilant about cache management and data distribution to avoid potential bottlenecks.