Piotr Grabowski - Software Team Lead, ScyllaDB
Felipe Cardeneti Mendes - Solutions Architect, ScyllaDB
Virtual Developer Workshop
Build Low-Latency
Applications in Rust on ScyllaDB

+ For data-intensive applications 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 and Open Source
solutions
The Database for Gamechangers
2
“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

3
+400 Gamechangers Leverage ScyllaDB
Seamless experiences
across content + devices
Digital experiences at
massive scale
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
Unified ML feature store
across the business
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

Presenters
4
Felipe Cardeneti Mendes
Felipe Mendes is an IT Specialist with years of experience with Linux. In
ScyllaDB, he works as a Solutions Architect.
Piotr Grabowski
Piotr is a Software Team Leader responsible for ScyllaDB drivers
(including ScyllaDB Rust Driver) and Kafka connectors.

Agenda ● Background: Why Rust, why ScyllaDB?
● The ScyllaDB Rust driver
○ History
○ Future
● The Rust sample app walkthrough
● Connecting our sample app to ScyllaDB Cloud

IOT Rust Application Setup
$ 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
Join the #rust-driver channel on ScyllaDB Slack and our Community Forum to discuss any issues or
questions you might have.

Low latency, close
to hardware schedulers
Perfect horizontal & vertical scale
7
1000 Nodes Cluster
2000 Cluster
K8S Deployment
60TB per Node 256 Cores per Node
1B Operations
per Second
About ScyllaDB: Fast and Scalable

8
Poll:
How proficient are you with the
Rust language?

+ The idea was born during a hackathon in 2020, over the last 3 years we
continued the development
+ In 2020, the Rust ecosystem provided only a limited selection of drivers for
ScyllaDB
+ Uses Tokio framework
+ The driver is now feature complete, supporting many advanced features:
+ Shard awareness
+ Asynchronous interface with support for large concurrency
+ Compression
+ All CQL types
+ Speculative execution
+ TLS support
ScyllaDB Rust Driver

+ Asynchronous, non-blocking runtimes
+ 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

ScyllaDB Rust Driver History

ScyllaDB Rust Driver History

+ This year so far (version 0.8):
+ Load balancing refactor, bringing better performance
+ Execution profiles
+ Rack-aware load balancing policy
+ Many small improvements/bug fixes
+ Next releases:
+ 1.0.0 release:
+ Stabilising the API of the driver
+ Deserialization API improvements - better performance
+ More performance improvements
ScyllaDB Rust Driver: Future

ScyllaDB Rust Driver: Future
ScyllaDB C++ Driver
C++ Driver Core
C/C++ API
ScyllaDB C++-Rust Driver
Rust Driver
C/C++ API

Let’s Code
15

IOT Application Overview
Metric Collector 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

ScyllaDB Cloud
17

Poll:
What databases do you use
(or are planning to use)
for Rust Apps?
18

Q&A
How Numberly
Replaced Kafka with a
Rust-Based ScyllaDB
scylladb.com/blog
October 18 + 19, 2023
p99conf.io
ScyllaDB Labs
Building High-Performance Apps
June 27, 2023
scylladb.com/events

Thank you
for joining us today.
@scylladb scylladb/
slack.scylladb.com
@scylladb company/scylladb/
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