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Orchestrating Cassandra
with Kubernetes Operator &
PaaSTA
Percona Live Online
May 19, 2020
About
● Me: Raghavendra D Prabhu
○ rprabhu@yelp.com / t: @randomsurfer / me@rdprabhu.com
○ Snr Software Engineer, Yelp
● Team: Database Reliability Engineering (DRE)
● Where: London, UK & San Francisco, CA
● What: Databases at Yelp: MySQL, Cassandra, ZooKeeper
Yelp’s Mission
Connecting people with great
local businesses.
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
“ A distributed system is one in which the failure of a computer
you didn't even know existed can render your own computer
unusable. ”
- Leslie Lamport
Desired Traits of Distributed
Systems
Reliability
Scalability
Maintainability
Distributed Systems Fallacies
● The network is reliable
● Latency is zero
● Bandwidth is infinite
● The network is secure
● Topology doesn't change
● One administrator
● Zero Transport cost
● Homogeneous network
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
● Distributed wide-column NoSQL datastore
● Leaderless / Multi-master
● Multi-region support
● Tunable consistency
● Write optimized
● Cloud-aware: gossip, failure detection, topology-aware, handoffs
C* at Yelp
● Both primary and derived data
● Use cases
● Deployed on Amazon Web Services (AWS)
○ EBS for Storage
● Smartstack for service discovery
● Automated schema management
● ZooKeeper-based cluster coordination
us-west-2 us-east-1
Yelp (EC2) Cassandra @ 100000 ft
Multi-region Cluster
Yelp (EC2) Cassandra @ 10000 ft
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
Orchestration
Velocity
● Churn
● Feature
● Scale
Safety
● Reliable
● Available
● Maintainable
Orchestration
● What is Orchestration
● Why Orchestrate
○ Reliability, Scalability, Maintainability
○ Sustainable management of constantly growing infrastructure
○ Automation of best practices and learnings
● Orchestration + Control Plane = FTW
○ = Cassandra Operator + PaaS + Kubernetes
Orchestration
Stack
Kubernetes / k8s
● Popular Open Source Container-based orchestration
● Actively developed
● Stateful and stateless applications
● Well-defined building blocks for distributed systems
● Integrates into our PaaS
○ k8s: generic but extensible
● Organizes containers into pods
● Yelp PaaSTA: Stateless and Stateful Microservices on Kubernetes
● Few thousand microservices deployed and growing
● Hundreds of deployments every day
● Handles compute, storage and network abstractions
● Why PaaSTA
○ Uniform interface - deployment, restarts, rollbacks ...
○ Clusterman
○ Spot and statically-reserved fleet
PaaSTA: Kubernetes at Yelp
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
Cassandra
Operator
Cassandra Operator
● Introduction
● Specifications
● Reconciliation
● Putting it together
C* Operator: Intro
● Developed by DRE team
● Controller Loop for Reconciliation
● Defines a custom resource for k8s
○ Statefulset, Container spec, Storage, Secrets and more
● “Big Red Button”
○ Stop for human takeover
C* Operator: Responsibilities
● Creating cluster from specs
● Scaling the cluster up and down
● Safe and Reliable Change Deployments
● Lifecycle Management
● Multi-region coordination
● Credential management
● Balance resource utilization
Specifications
The Recipe aka the Cluster Spec
Cassandra Pod
● What is a pod
● Cassandra container + Sidecars
● Sidecar containers
○ HAcheck for Smartstack
○ Cron
○ Sensu
○ Change Data Capture (CDC) publisher
○ Metrics exporters
Storage aka State
● EBS for Cassandra
○ Clear separation of stateful and stateless
○ Quick healing upon underlying node failure
○ Dynamic Provisioning
○ “Compute follows Data”
○ Stripe cluster across AZs
Reconciliation
Putting it Together
Big
Picture
us-west-2
us-east-1
Yelp Cassandra @ 100000 ft + Operator
Multi-region Cluster
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
Opportunities & Challenges
Opportunities
Cost Accounting
Autoscaling
0
1x
2x
3x
Wed Thu Fri Sat Sun Mon Tue Wed Thu Fri Sat Sun
Holiday
Requests
Security
Challenges
Sidecars
Isolation
Deployment Strategies
Dealing with
Immutability
Overview
● Introduction
● Cassandra at Yelp
● Orchestration
● Cassandra Operator
● Opportunities and Challenges
● Conclusion
Distributed Systems Fallacies
The network is reliable
Latency is zero
Bandwidth is infinite
The network is secure
Topology doesn't change
One administrator
Zero Transport cost
Homogeneous network
Orchestration:
Building A Reliable System
Out of Unreliable Components.
Q & A
@YelpEngineering
fb.com/YelpEngineers
engineeringblog.yelp.com
github.com/yelp
Credits
● Apache cassandra logo
● https://puppet.com/
● https://www.terraform.io/
● https://kubernetes.io/
● https://etcd.io/
● https://aws.amazon.com/architecture/icons/
● https://dataintensive.net/
● https://www.yelp.com/brand
● https://thenounproject.com/
● https://upload.wikimedia.org/wikipedia/commons/2/2e/Chicago_Symphony
_Orchestra_2005.jpg
● https://upload.wikimedia.org/wikipedia/commons/thumb/e/e0/Blank_US_m
ap_borders_labels.svg/1000px-Blank_US_map_borders_labels.svg.png

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