1.
Overcoming Database
Scaling Challenges with a
New Approach to NoSQL
Peter Corless — Director of Technical Advocacy, ScyllaDB
Tomer Sandler — Director of Customer Success & TAM, ScyllaDB

2.
Introductions
Peter Corless, Director of Technical Advocacy
+ Editor of and frequent contributor to the ScyllaDB blog
+ Program chair for ScyllaDB Summit and P99 CONF
+ Host of ScyllaDB Masterclass series
+ @PeterCorless on Twitter
Tomer Sandler, Director of Customer Success and TAM
+ Lifecycle support: from deployment to operations
+ Troubleshoots toughest real-time technical issues
+ Plays a mean saxophone

3.
+ Infoworld 2020 Technology of the Year!
+ Founded by designers of KVM Hypervisor
The Database Built for Gamechangers
3
“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
+ Resolves challenges of legacy NoSQL databases
+ >5x higher throughput
+ >20x lower latency
+ >75% TCO savings
+ DBaaS/Cloud, Enterprise and Open Source solutions
+ Proven globally at scale

4.
4
+400 Gamechangers Leverage ScyllaDB
Seamless experiences
across content + devices
Fast computation of flight
pricing
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

5.
?
How does a company know
when they’ve hit the wall?
Q1:
5

6.
?
What about throughput limits?
What’s different if you added more
workloads vs. bursty time-of-day
traffic?
6
Q2:

7.
?
Even with the best up-front planning
you can run into a stochastic event
that can go beyond your predictive
planning? What then?
7
Q3:

8.
?
Let’s define “emergency scalability”
as responding to unplanned demands
on your system. What examples have
you seen of “emergency scaling”
limits in the wild?
8
Q4:

9.
?
What’s different doing “emergency
scaling” with an on-premises
deployment vs.
a public cloud?
9
Q5:

10.
?
Is the cloud really just “someone
else’s computer?”
10
Q6:

11.
?
Is data volume itself a barrier to
scale? “I want a petabyte of storage
fully loaded by 8 AM tomorrow!”
11
Q7:

12.
?
What are other real-time limits you
can’t avoid? Like the latency of the
speed of light, or the raw time to
actually stream your data to the new
hardware?
12
Q8:

13.
?
Can you talk more about latency
issues? You can’t just throw
hardware at it. Because that could
even make latencies worse.
13
Q9:

14.
?
What advice can you give to
system architects planning for
data at scale?
14
Q10:

15.
Poll
How much data do you under management of your
transactional database?

16.
Q&A
WANT TO KEEP LEARNING?
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Getting Started with ScyllaDB
23 February 2023, 10am PT | 1pm ET | 6pm GMT

17.
Thank you
for joining us today.
@scylladb scylladb/
slack.scylladb.com
@scylladb company/scylladb/
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