Zenly Shares Best Practices for Running ScyllaDB on GCP

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Zen.ly is a location-sharing mobile app that helps you find your friends’ whereabouts in real-time. They have run Scylla in production for two and a half years. Learn how much they’ve scaled over that time, managing growing cluster using Google Kubernetes Engine.

Technologie

Scylla DB on GCP:
2 ½ years in production
Steeve Morin, software engineer
Jean-Baptiste Dalido, head of infrastructure

Presenters
Steeve Morin, software engineer
Hacking since the 90’s. Skydiver.
Jean-Baptiste Dalido, head of infrastructure
Hacking since the 00’s. Motorcycle enthusiast.

Meet
Zenly makes it fun & easy to know what
friends & family are up to.
We believe that making maps more
social and personalized is an
opportunity to improve the way people
live, communicate and spend time
together.
50+ team members based in Paris.

ScyllaDB usage at Zenly
In 2 years:
■ 10x more ops/s: 300k/s to 3.3M/s
● 1.9M reads/s
● 1.4M writes/s
■ 2x more nodes: 27 to 50 nodes
● But from 10 to 32 cores/node
● 270 to 1600 cores
■ 4x more storage: 15TB to 59TB

Google Kubernetes Engine: why not
Wanna stick with default setup:
Pros:
■ GKE nodes auto repair/upgrade
■ Default GKE setup is nice
● Network
● Logs
■ Rolling updates

Google Kubernetes Engine: why not
Cons:
■ Auto upgrade means losing nodes every day
● Which means repairs...
■ Network is expensive because Docker
■ Not leveraging autoscaling
● HPA, VPA
■ Auto upgrade means losing
■ CPU pinning is not easy to manage with “classical” neighbours
→ Not worth it in the end

GCP Network
Very happy so far:
■ Only two problems in the last 2 ½ years
● One was a Google software update gone wrong, took down lots of big players
■ Inter-zone network is very expensive
● Careful when considering multi-DC clusters

Evolution of instance types
We went from custom-standard-10 (10 cores) to n1-standard-32 (32 cores):
■ More shards per node
■ Sweet spot for good disk efficiency
■ Considering moving to c2 or n2 instances
● c2: 40% more performance
● n2: 10-15% more performance
● No cost analysis yet

Instance configuration
Instances are configured with:
■ 3 local NVMe SSDs in RAID 0
■ Ubuntu 18.04 LTS
■ Kernel linux-gcp 4.15.0.1029
● Major issues with NVMe on more recent ones
● Stay on =< 1029 for now
● THANK YOU GLAUBER AND SUPPORT TEAM <3

Thank you Stay in touch
Any questions?
Steeve Morin
steeve@zen.ly
@steeve
Jean-Baptiste Dalido
jb@zen.ly
@jbaptistedalido

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Zenly Shares Best Practices for Running ScyllaDB on GCP

1. Scylla DB on GCP: 2 ½ years in production Steeve Morin, software engineer Jean-Baptiste Dalido, head of infrastructure

2. Presenters Steeve Morin, software engineer Hacking since the 90’s. Skydiver. Jean-Baptiste Dalido, head of infrastructure Hacking since the 00’s. Motorcycle enthusiast.

3. Meet Zenly makes it fun & easy to know what friends & family are up to. We believe that making maps more social and personalized is an opportunity to improve the way people live, communicate and spend time together. 50+ team members based in Paris.

4. ScyllaDB usage at Zenly In 2 years: ■ 10x more ops/s: 300k/s to 3.3M/s ● 1.9M reads/s ● 1.4M writes/s ■ 2x more nodes: 27 to 50 nodes ● But from 10 to 32 cores/node ● 270 to 1600 cores ■ 4x more storage: 15TB to 59TB

5. Google Kubernetes Engine: why not Wanna stick with default setup: Pros: ■ GKE nodes auto repair/upgrade ■ Default GKE setup is nice ● Network ● Logs ■ Rolling updates

6. Google Kubernetes Engine: why not Cons: ■ Auto upgrade means losing nodes every day ● Which means repairs... ■ Network is expensive because Docker ■ Not leveraging autoscaling ● HPA, VPA ■ Auto upgrade means losing ■ CPU pinning is not easy to manage with “classical” neighbours → Not worth it in the end

7. GCP Network Very happy so far: ■ Only two problems in the last 2 ½ years ● One was a Google software update gone wrong, took down lots of big players ■ Inter-zone network is very expensive ● Careful when considering multi-DC clusters

8. Evolution of instance types We went from custom-standard-10 (10 cores) to n1-standard-32 (32 cores): ■ More shards per node ■ Sweet spot for good disk efficiency ■ Considering moving to c2 or n2 instances ● c2: 40% more performance ● n2: 10-15% more performance ● No cost analysis yet

9. Instance configuration Instances are configured with: ■ 3 local NVMe SSDs in RAID 0 ■ Ubuntu 18.04 LTS ■ Kernel linux-gcp 4.15.0.1029 ● Major issues with NVMe on more recent ones ● Stay on =< 1029 for now ● THANK YOU GLAUBER AND SUPPORT TEAM <3

10. Thank you Stay in touch Any questions? Steeve Morin steeve@zen.ly @steeve Jean-Baptiste Dalido jb@zen.ly @jbaptistedalido

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