Welcome to the third post in our cstar series. So far, the first post gave an introduction to cstar, while the second post explained how to extend cstar with custom commands. In this post we will look at cstar’s cousin cstarpar. Both utilities deliver the same topology-aware orchestration, yet cstarpar executes commands locally, allowing operations cstar is not capable of.

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Cassandra Reaper 1.3 was released a few weeks ago, and it’s time to cover its highlights.

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If you’re a frequent reader of our blog, you may have noticed we’ve been spending a lot of time looking at performance tuning. We’ve looked at tuning Compression, Garbage Collection, and how you can use Flame Graphs to better understand Cassandra’s internals. To do any sort of reasonable performance tuning you need to be able to apply workloads to test clusters. With Cassandra, that means either writing a custom tool to mimic your data model or using Cassandra stress to try to put load on a cluster.

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