Inside Tripadvisor’s Real-Time Personalization with ScyllaDB + AWS
See the engineering behind real-time personalization at Tripadvisor’s massive (and rapidly growing) scale
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See the engineering behind real-time personalization at Tripadvisor’s massive (and rapidly growing) scale
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How a team of just two engineers tackled real-time persisted events for hundreds of millions of players With just two engineers, Supercell took on the daunting task of growing their basic account...
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New research report explores what pushes teams with data-intensive applications to the tipping point and how they proceed
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Disney engineers share the architecture and technical requirements behind "user watch status" for a major global media streaming service, what that meant for their database, the pros and cons...
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How Expedia’s database engineer team is overcoming Cassandra's limitations by migrating to ScyllaDB.
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How Joseph Shorter and Miles Ward led a fast, safe migration with ScyllaDB's DynamoDB-compatible API
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Learn pragmatic strategies for designing, implementing, and monitoring data modeling for performance.
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3 perspectives on what shard-per-core involves and why it matters for teams who care about database performance. Also ... puppies!
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How ShareChat successfully scaled 1000X without scaling the underlying database (ScyllaDB)
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What users need to know about tablets and Raft...at a purely pragmatic level
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Learn pragmatic strategies for optimizing DynamoDB costs as you grow. It also presents alternatives to consider when you’ve hit your limit with AWS (e.g., due to costs, multicloud initiatives, ...)
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Watch a demo of how ScyllaDB's Raft and tablets initiatives play out with real operations on a real ScyllaDB cluster -- and get a glimpse at what’s next on our roadmap.
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Explore the technical challenges of real-time read-heavy workloads (recommendation, personalization, chat, gaming...) and learn best practices for working with them in ScyllaDB.
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Explore the technical challenges of real-time write-heavy workloads (IoT, logging systems, real-time analytics, and order processing) and learn best practices for working with them in ScyllaDB.
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How Freshworks tackled high tail latencies, Cassandra admin burden, and any little surge causing an increase in timeouts
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Learn how our new tablets architecture enables new levels of elasticity, speed, simplicity, and efficiency -- dynamically redistributing data as the workload and topology evolve.
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Get a database engineer's inside look at how the database interacts with the CPU...in this excerpt from the book, "Database Performance at Scale."
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