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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Augury stores and serves time-series features from massive streams of IoT data, both for real-time insights, and offline learning and analytics. Learn about Augury’s needs and constraints, their solution evaluation and architecture, and fundamental practices for efficient data modeling, plus get a glimpse into the next-gen architecture at Augury, with a view on time-series feature storage and serving.