The ScyllaDB Sync: August 2024
Welcome to the latest edition of the ScyllaDB Sync! Inspired by the speed and stamina of Olympic athletes around the world, the ScyllaDB sea monster is ramping up its event game this month!
Whether you're facing DynamoDB scaling challenges, eager to start building low-latency applications in Rust, or ready to tackle the technical challenges related to real-time read-heavy workloads, we hope to see you at the various virtual events we're hosting. Also...catch up on a variety of ScyllaDB and P99 CONF blogs featuring power user strategies and low-latency insights.
Read on for details...
Events
Masterclass: DynamoDB Cost Optimization
August 8, 2024 | 8-11am PT | 3-6pm GMT
Join this free masterclass featuring Alex DeBrie, Miles Ward, and Felipe Cardeneti Mendes to learn pragmatic strategies for optimizing DynamoDB costs as you grow. We'll also cover alternatives to consider when you’ve hit your limit with AWS (e.g., due to costs, multicloud initiatives, cloud migrations…)
Register →
Using ScyllaDB for Real-Time Read-Heavy Workloads
August 22, 2024 | 10am PT | 1pm ET | 5pm GMT
Discover how ScyllaDB’s unique architecture excels in maintaining single-digit millisecond latencies for real-time read-heavy workloads, with insights on overcoming common challenges and optimizing performance.
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Developer Workshop: Build Low-Latency Applications in Rust on ScyllaDB
August 29, 2024 | 10am PT | 1pm ET | 5pm GMT
Join us for a developer workshop where we’ll 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.
Register →
P99 CONF 2024
October 23-24, 2024
Obsessed with P99 percentiles, low-latency engineering, and performance optimizations? Join 1000s of your peers at P99 CONF: a free, highly-technical virtual conference.
Register →
New Blog Posts
Benchmarking MongoDB vs ScyllaDB: Social Workload Deep Dive
benchANT’s comparison of ScyllaDB vs MongoDB in terms of throughput, latency, scalability, and cost for a social media workload. ScyllaDB provides 12X higher throughput, 47X better update latencies, and 5X better read latencies.
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Intel CPU Die Topology
Jason Rahman looks at a pair of Intel CPUs and observes a few key details on their on-die interconnect topology and impact on cross-core communication patterns.
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Investigating Crazy Rust Compile Times
Adam Chalmers investigates the reasons behind slow compile times for the KittyCAD Rust API client and shares how he cut the release compile times from 33 minutes to 1.5 minutes.
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ScyllaDB in Action Book Excerpt: ScyllaDB, a Distributed Database
How does ScyllaDB provide scalability and fault tolerance by distributing its data across multiple nodes? Read what Bo Ingram (Staff Engineer at Discord) has to say – in this excerpt from the new Manning Publications Co. book "ScyllaDB in Action."
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Getting Started with Database-Level Encryption at Rest in ScyllaDB Cloud
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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How to Visualize ScyllaDB Tables and Run Queries with DBSchema
Learn how to connect DbSchema to ScyllaDB, visualize the keyspace, and run queries.
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Customer Perspectives
NoSQL, NoMQ: Palo Alto Networks’ New Event Streaming Paradigm
How Palo Alto Networks eliminated the MQ layer for a project that correlates events in near real time, using an existing database (ScyllaDB) instead of Kafka.
Exploring Scylla Disk Performance and Optimizations at Agoda
Agoda Engineering runs ScyllaDB with an impressive 30TB/node. Andrew Lynch, Principal Engineer at Agoda, shares how upgrading from SATA to NVMe drives and tuning ScyllaDB’s configuration can improve ScyllaDB's performance.
How Freshworks Cut Database P99 Latency by 95% – with Lower Costs
How Freshworks tackled high tail latencies, Cassandra admin burden, and any little surge causing an increase in timeouts.
Trending this Month
NoSQL Data Modeling Mistakes that Ruin Performance
Even if you adopt the fastest database on powerful infrastructure, you won’t be able to tap its full potential unless you get your data modeling right. Read practical tips by Felipe Cardeneti Mendes in this article on The New Stack.
Read now →
How a Database Looks from a Disk’s Perspective
ScyllaDB’s CTO Avi Kivity dives into how high performance distributed systems such as modern databases can make the best, most efficient use of fast NVMe storage. With Avi as your guide, watch real-time visualizations of IO: a dynamic display of color-coded reads and writes, random IO, sequential IO, and the disk bandwidth consumed by each.