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  1. Joining PlanetScale

    I’m joining PlanetScale!

  2. By implementing document-level parallelism and pipelined bulk operations, I significantly improved ClusterSync’s performance, delivering up to 18× higher replication throughput.

  3. Just like knowing the basics about how operating system works and/or how memory or CPU work, knowing the basics about database internals will, especially a backend developer, make you a more complete and competent programmer.

  4. Running databases on Kubernetes is becoming more prevalent with big and small companies running their data workloads on Kubernetes clusters.

  5. There are a bunch of good books about Go, but the one I talk about in this video is the most valuable, to learn the language, and as a reference in your daily programming.

  6. Data race and race condition bugs are not the same thing.

  7. Hello folks, in the video I want to show you a much better way to switch your applications on MacOS (Windows or Linux).

  8. Deploying database infrastructure on Kubernetes is only getting more important, especially if you already have your infra running on some k8s cluster.

  9. See how we make Percona Kubernetes operators more secure with the Trivy security scanner.

  10. Every sharded-data system (a distributed datastore) has (or aims for) three fundamental properties: data consistency, data availability, and that it is tolerant to a network partition (a subset of nodes not being able to reach the rest of the cluster).