How Yieldmo Cut Database Costs and Cloud Dependencies
Rethinking latency-sensitive DynamoDB apps for multicloud, multiregion deployment
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ScyllaDB
Rethinking latency-sensitive DynamoDB apps for multicloud, multiregion deployment
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You can now run ScyllaDB’s monstrously fast and scalable NoSQL database within your own Google Cloud (GCP) accounts
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From inevitable overprovisioning to the "on-demand" tax: why DynamoDB is bloody hard to cost-control
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Learn how Medium is using ScyllaDB to build a fast and scalable data layer for lists in their feature store.
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Benchmarks of ScyllaDB on Google Cloud’s new Z3 small instances achieved higher throughput and lower latency than N2 equivalents, especially under heavy load.
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What ML feature stores require and how ScyllaDB fits in as fast, scalable online feature store.
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From hacking to hiking: what happens when engineering sea monsters get together
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Learn why we selected, forked, and use a little-known benchmarking tool for testing
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What does your team need to know about tablets– at a purely pragmatic level? Here are answers to the top user questions.
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ScyllaDB X Cloud just landed! It's a truly elastic database that supports variable/unpredictable workloads with consistent low latency, plus low costs.
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We built a new DynamoDB cost analyzer that helps developers understand what their workloads will really cost
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How Blitz scaled their game coaching app with lower latency and leaner operations
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How moving from mutation-based streaming to file-based streaming resulted in 25X faster streaming time
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Migrating 300+ TB of data and 400+ services from a key-value database to ScyllaDB – with zero downtime
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"Tablets" data distribution makes full table scans on ScyllaDB more performant than ever
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This is a guest post authored by tech journalist George Anadiotis. It’s a follow-up to articles that he published in 2023 and 2022. In business, they say it takes ten years to become an overnight...
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Learn how to use Testcontainers to create lightweight, throwaway instances of ScyllaDB for testing
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Teams sometimes need lower latency, lower costs (especially as they scale) or the ability to run their applications somewhere other than AWS
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Spiraling cache costs, tombstone nightmares, old Cassandra pains, and more — what people were asking about at Google Cloud Next
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