From ScyllaDB to Kafka: Natura’s Approach to Real-Time Data at Scale
How Natura built a real-time data pipeline to support orders, analytics, and operations
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ScyllaDB
How Natura built a real-time data pipeline to support orders, analytics, and operations
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How ShareChat reduced costs for its billion-feature scale feature store with ScyllaDB
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Lessons learned on data modeling, cache optimization, and hardware selection
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From managed Google Cloud services to ScyllaDB, Redpanda, Flink, and beyond
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Monster Scale Summit speakers have amassed a rather impressive list of publications, including quite a few books. This blog highlights 11 Monster Scale reads.
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Performance pitfalls when aiming for high-performance I/O on modern hardware and cloud platforms
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At ScyllaDB’s Monster SCALE Summit 25, Hightower shared why facing scale the hard way is the right way
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Tracking down a mysterious write throughput degradation
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The agenda for the 2-day Monster SCALE Summit (free + virtual) is now live! Take a look, register, and start choosing your own adventure across the 50+ tech talks. Here’s a peek at what you can...
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Learn about ScyllaDB database-level encryption with Customer-Managed Keys & see how to set up and manage encryption with a customer key -- or delegate encryption to ScyllaDB
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Lessons learned building a Rust-backed Node.js driver for ScyllaDB: bridging JS and Rust, performance pitfalls, and benchmark results
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A bug hunt into why disk I/O performance failed to scale on larger AWS instances
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When not to worry about scale, when to rearchitect everything and why passionate criticism is a win “There’s no funner game than the at-scale technology game. But if you play it, some people will...
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Explore isolation mechanisms and prioritization strategies that allow different database workloads to coexist without resource contention issues
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How ScyllaDB performs on the new I8g and I8ge instances, across different workload types
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Alan and Dor chat about high-performance databases & AI trends
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How a leading customer engagement platform handles 250K writes per second at 1ms p99 latency with 200TB+ data
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Benchmarks show ScyllaDB tablet-based scaling 7.2× faster than Cassandra's vNode-based scaling (9× with cleanup), sustaining ~3.5X higher throughput with fewer errors
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An overview of recent ScyllaDB changes, including extended tablets support, native vector search, Alternator enhancements, a new SSTable index format, and new instance support.
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Explore different ways to organize collections for efficient scanning, from arrays and lists to less obvious layouts
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