Learn how to get started with Scylla Join us for an overview of NoSQL best practices and get a look into the scale-out vs scale up models and the Scylla philosophy for accelerated success. In this session, we will show you how to get fast wins when using Scylla. We will cover architectural concepts, installation best practices, data model antipatterns, use case examples, scale-out vs. scale up approaches and management and monitoring tools. If you’re a database architect, developer, or manager, this session is for you! Architectural concepts Installation of a single cluster of Scylla Using Docker to get a 3-node cluster on your laptop Connecting your application to the database Data model antipatterns Management and monitoring installation

1. Eyal Gutkind - VP of Solutions, ScyllaDB
Scylla Virtual Workshop 2020
A walk through the process

2. Presenter
2
Eyal Gutkind
Eyal Gutkind is VP of Solutions at ScyllaDB. Prior to joining
ScyllaDB, Eyal held product management roles at Mirantis
and DataStax, and spent 12 years with Mellanox
Technologies in various engineering management and
product marketing roles. Eyal holds a BSc. degree in
Electrical and Computer Engineering from Ben Gurion
University in Israel and an MBA from Fuqua School of
Business at Duke University.

3. 3
+ The Real-Time Big Data Database
+ Drop-in replacement for Cassandra
+ 10X the performance & low tail latency
+ New: Scylla Cloud, DBaaS
+ Open source and enterprise editions
+ Founded by the creators of KVM hypervisor
+ HQs: Palo Alto, CA; Herzelia, Israel
About ScyllaDB

4. Agenda
+ NoSQL Simplistic view
+ Scylla’s Architecture
+ Patterns and anti-patterns with Scylla
+ Let’s start a system

5. What you’ll need in order to follow along
+ Log in from your computer
+ Docker
+ Docker compose
+ Scylla Docker image - Link in your confirmation email

6. Workshop demo

7. NoSQL - By Availability vs Consistency
7
Pick Two
Availability
Partition
Tolerance
Consistency

8. C++ instead of Java
8

9. Shard per Core
Threads Shards
9

10. Unified Cache
Cassandra Scylla
Key
cache
Row
cache
Linux page cache
SSTables
Unified cache
SSTables
Complex Tuning
On-heap /
Off-heap
10

11. I/O Scheduler
11

12. Self-Optimizing
12

13. Lower Node
Count
Millions of OPS per node
of throughput reduces
the number of nodes
your application requires.
Scylla Benefits
Predictable,
Low Latencies
Consistent single-digit
millisecond p99
latencies.
Less
Complexity
Smaller footprint,
self-optimizing,
works out-of-the-box
13
Cassandra and
DynamoDB
Compatibility
Drop-in replacement,
compatible with full C*
and DynamoDB
ecosystem (drivers, etc.)

14. Deployment Options
Install in Your Datacenter
➔ Scylla Open Source
➔ Scylla Enterprise
Install at a Cloud Provider
➔ Scylla Open Source
➔ Scylla Enterprise
Database as a Service
➔ Fully managed Scylla
clusters
➔ 24*7 maintenance
and support.
On-Prem Cloud Hosted Scylla Cloud
14

15. Data Model Best Practice
SELECT * FROM myks.mytable where userid=’my_id’;
CREATE TABLE mytable (
userid uuid,
info text,
time timestamp,
PRIMARY KEY (userid, time));

16. Differences from RDBMS
▪ CQL is similar to SQL, but different...
Item SQL CQL
Consistency Strong Eventual
Data Reference (Foreign key) Yes Denormalized data
Join Yes Use 3rd party tools
WHERE clauses Yes
Yes, but performance hits can
apply for non-key columns
ORDER BY clauses Yes
Can only be applied to a
clustering column

17. 17
The shape of your workload

18. Monitoring and management

19. Let’s build a system
+ End of year Total raw data size: 2TB, Starting with ~1TB
+ Typical record size read/written by the application: 1KB
+ Data model: 3-5 tables, up to 10 columns per row, 1-5 rows per partition, mainly text
+ Latency requirements: 20ms Write, 30ms Read, for the 99%
+ Read:Write ratio: 70:30
+ Throughput: 50,000 database op/s
+ IaaS: AWS,
+ Replication Factor: 3
+ Some Spark work for analytics
19

20. Let’s build a system, Amazon Web Services
+ Per Data Center
+ Needed disk space: 12TB
+ Media type: NVMe drives to meet latency SLA
+ Requires 30 threads, 15 physical cores
+ Per Data center instance options
+ 3 x i3.4xlarge → Total disk: 11.5TB
and
+ 3 x i3.2xlarge for the Spark cluster
+ 1x i3.2xlarge for Scyla monitoring and Scylla manager
20

21. Sizing poll

22. Workshop demo Contd.

23. Book a session with me
+ If you are interested in evaluating your current workloads to learn how you can
save more, you can sign up for a Technical Evaluation session with me.
Link : https://www.scylladb.com/product/technical-consultation/
+ Or email me directly to eyal@scylladb.com if you have any questions.
We will send you these links via email along with the session recording.
23

24. Summary
+ Gather applications and business requirements
+ Select the right infrastructure
+ Think about resiliency and high availability
Ask us questions!
24

25. Content poll

26. Stay in touch
eyal@scylladb.com
@gutkinde

27. United States
545 Faber Place
Palo Alto, CA 94303
Israel
11 Galgalei Haplada
Herzelia, Israel
www.scylladb.com
@scylladb
Thank you