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I’m joining PlanetScale!
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By implementing document-level parallelism and pipelined bulk operations, I significantly improved ClusterSync’s performance, delivering up to 18× higher replication throughput.
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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.
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Running databases on Kubernetes is becoming more prevalent with big and small companies running their data workloads on Kubernetes clusters.
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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.
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Data race and race condition bugs are not the same thing.
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Hello folks, in the video I want to show you a much better way to switch your applications on MacOS (Windows or Linux).
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Deploying database infrastructure on Kubernetes is only getting more important, especially if you already have your infra running on some k8s cluster.
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See how we make Percona Kubernetes operators more secure with the Trivy security scanner.
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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).