Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
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Close-to-the-metal architecture handles millions of OPS with predictable single-digit millisecond latencies.
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ScyllaDB is purpose-built for data-intensive apps that require high throughput & predictable low latency.
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ScyllaDB’s drive towards strongly consistent features continues, and in this talk I will cover the upcoming implementation of safe topology changes feature: our rethinking of adding and removing nodes to a ScyllaDB cluster.
Quickly assembling a fresh cluster, performing topology and schema changes concurrently, quickly restarting a node with a different IP address or configuration – all of this has become possible thanks to a centralized – yet fault-tolerant – topology change coordinator, the new algorithm we implemented for Scylla 5.3. The next step would be automatically changing data placement to adjust to the load and distribution of data – our future plans which I will touch upon as well.