Download as PDF, PPTX
Uploaded byScyllaDB
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
Want to learn practical tips for designing systems that can scale efficiently without compromising speed? Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development. As you explore key principles of designing low-latency systems with Rust, you will learn how to: - Create and compile a real-world app with Rust - Connect the application to ScyllaDB (NoSQL data store) - Negotiate tradeoffs related to data modeling and querying - Manage and monitor the database for consistently low latencies
More Related Content
Similar to Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
- 1. Felipe Cardeneti Mendes,Technical Director, ScyllaDB Designing Low-Latency Systems with Rust and ScyllaDB An Architectural Deep Dive
- 2. Presenter Felipe Cardeneti Mendes, TechnicalDirector + Puppy Lover + Database Performance at Scale co-Author + ScyllaDB committer
- 3. + For data-intensiveapplications that require high throughput and predictable low latencies + Close-to-the-metal design takes full advantage of modern infrastructure + >5x higher throughput + >20x lower latency + >75% TCO savings + Compatible with Apache Cassandra and Amazon DynamoDB + DBaaS/Cloud, Enterprise solutions The Database for Gamechangers “ScyllaDB stands apart...It’s the rare product that exceeds my expectations.” – Martin Heller, InfoWorld contributing editor and reviewer “For 99.9% of applications, ScyllaDB delivers all the power a customer will ever need, on workloads that other databases can’t touch – and at a fraction of the cost of an in-memory solution.” – Adrian Bridgewater, Forbes senior contributor
- 4. +400 Gamechangers LeverageScyllaDB Seamless experiences across content + devices Corporate fleet management Real-time analytics 2,000,000 SKU -commerce management Video recommendation management Threat intelligence service using JanusGraph Real time fraud detection across 6M transactions/day Uber scale, mission critical chat & messaging app Network security threat detection Power ~50M X1 DVRs with billions of reqs/day Precision healthcare via Edison AI Inventory hub for retail operations Property listings and updates Cryptocurrency exchange app Geography-based recommendations Global operations- Avon, Body Shop + more Predictable performance for on sale surges GPS-based exercise tracking Serving dynamic live streams at scale Powering India's top social media platform Personalized advertising to players Distribution of game assets in Unreal Engine Real-time ML-driven recommendations Connecting millions of people around the globe
- 5. Agenda + Background:Why Rust, Tokio, ScyllaDB? + App Walkthrough + The ScyllaDB Rust driver + Let's break it!
- 6. IOT Rust ApplicationSetup $ git clone https://github.com/fee-mendes/rust-driver-example.git $ cd rust-driver-example/docker-compose $ docker compose up -d $ docker exec -it rust-app /bin/bash Minimum requirements: + Linux, macOS, Windows + On Windows you might need to adjust Docker network settings + Docker installed and setup + Quadcore CPU + 2 GB of memory available
- 7. + Asynchronous, non-blockingruntimes + Tokio: Most widely used Rust runtime + Seastar: C++ runtime for ScyllaDB + Fast, flexible, and reliable + Scalable, allows high concurrency and low latency + Green and sustainable Why Rust? Why Tokio? Why ScyllaDB? Rust Driver ScyllaDB
- 8. Low latency, close tohardware schedulers Perfect horizontal & vertical scale 1000 Nodes Cluster 2000 Cluster K8S Deployment TBs per Node 256 Cores per Node 1B Operations per Second About ScyllaDB: Fast and Scalable
- 9. Poll: How proficient are youwith the Rust language?
- 10. IOT Application Overview MetricCollector Metric Reader UUID Finder Write to ScyllaDB in parallel Deploy schema (ks/tables) Generate data: 100 devices 3 days Every 5 minutes Device metrics aggregator Analytics sample Split token-ring in small parts: Efficient full table scan token() function usage BYPASS CACHE Single device queries Real-time sample Partition scan: MAX(), AVG(), MIN() Range queries Date/Time handling
- 11. BUT... We need aDriver! :-)
- 12. ScyllaDB Native RustDriver
- 13. Rust Bindings ScyllaDB cpp-rust-driver RustDriver C/C++ API Community scyllapy Driver Rust Driver Python API ➹ Wrapper libraries using language's FFIs (foreign function interface) feature ➹ Make an existing library written in language X usable in others
- 14. 1. cargo addscylla 2. Follow examples 3. Profit! Getting Started
- 15.
- 16.
- 17. Thank you for joiningus today. @scylladb scylladb/ slack.scylladb.com @scylladb company/scylladb/ scylladb/