Caching for Performance Masterclass
Explore a variety of caching options – how they’re architected, how that impacts their “sweet spot” and tradeoffs, as well as tips for working with them.
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Explore a variety of caching options – how they’re architected, how that impacts their “sweet spot” and tradeoffs, as well as tips for working with them.
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Discover new ways to optimize database performance – and avoid common pitfalls – in this 270 page book
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Learn pragmatic strategies for designing, implementing, and monitoring data modeling for performance.
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ScyllaDB in Action -- by Discord's Bo Ingram -- is a practical guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment.
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Designed for organizations planning or considering a NoSQL migration, this masterclass will assist practitioners looking to understand database migration strategies, logistics, and tools.
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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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Learn real-world strategies for fast, scalable NoSQL data models in this free + interactive masterclass.
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Discover new ways to optimize database performance – and avoid common pitfalls. Join “Database Performance at Scale” book authors for an interactive masterclass. Attendees get a free book!
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Go hands-on to explore the affinities between Rust, the Tokio framework, and ScyllaDB. You’ll go live with our sample Rust application, built on our new, high performance native Rust client driver.
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Tune in as we dissect 4 specific database performance challenges faced by teams considering or using ScyllaDB
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Discover new ways of thinking about your distributed data system challenges. Download Martin Kleppmann's practical and comprehensive guide for data-intensive applications.
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Explore often-overlooked risks related to external caches and see how 3 teams are replacing their core database + external cache with a single solution
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Practical tips and lessons learned from a variety of real-world DB scaling scenarios that involve databases such as ScyllaDB, PostgreSQL, Cassandra & DynamoDB.
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Discover the common pitfalls of using external caching and get real-world examples of companies that successfully eliminated their external cache.
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Research on how the reality of working with relational and various NoSQL database types compared to the team's original expectations.
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How ShareChat achieved 5X NoSQL performance w/ 80% cost savings – offering microsecond P99 latency with 1.2M op/sec for 180M monthly active users.
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Discover what’s most important for achieving low latency at extreme scale. We'll walk you through the strategies and pitfalls learned from thousands of real-world distributed database projects.
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Take a technical deep dive into database innovations critical for speed at scale (e.g., millions of read/write operations and millisecond P99 response).
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When low latency and high performance are core requirements, what NoSQL database attributes should you consider, and what tradeoffs are key?
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