Link: https://youtu.be/Pi5ueyl_1jU https://go.dok.community/slack https://dok.community/ ABSTRACT OF THE TALK During my first talk for DoK community I want to walk you through the world of NoSQL database MongoDB and Kubernetes Operators - Community Edition, Enterprise Edition (MongoDB and Ops Manager on K8s), and Atlas operator, highlight the most important capabilities, talk about use cases and challenges, the theory will be mixed with a live demos! BIO I'm a SRE / NoSQL / DevOps professional. I hold CKA, CKAD, CKS, also I’m MongoDB Certified DBA and MongoDB Champion. I have experience with multiple cloud providers, Kubernetes, different types of K8s operators (Strimzi, RabbitMQ Cluster Operator), but especially MongoDB K8s Operator. I also work with KEDA. Since 2017, I have been a speaker at MongoDB conferences all around the world (USA, China, Europe). KEY TAKE-AWAYS FROM THE TALK I would like to share the best practices of running NoSQL database - MongoDB on Kubernetes also I want to show how to manage Atlas (MongoDB cloud) via K8s operator https://www.mongodb.com/developer/community-champions/arkadiusz-borucki/

1. Mastering MongoDB
on Kubernetes, the
power of operators
Arek Borucki
Beamery

2. Agenda
• MongoDB architecture
• Kubernetes Operators
• MongoDB Community K8s Operator
• MongoDB Enterprise K8s Operator
• MongoDB Atlas K8s Operator
• Demo

4. OM java application
• consistent backup
• rolling upgrades
• automation
• monitoring

5. Agenda
• MongoDB clusters
• Serverless
• Data Lake
• Atlas Search
• The Data API (HTTPS)
• Advanced security
• and more

7. Why to use MongoDB K8s Operators ?
Capabilities like Replication, Sharding,
Failover or Scalability can help more
easily deal with the uncertainty
sidecar pattern- MongoDB
Agent handles configuring,
stopping, restarting and
upgrading the mongod
process, readiness and
liveness probes
Provides out of the box security features
like TLS, authentication, RBAC
Reduce complexity - uses the best
human knowledge of creating and
operating a MongoDB products
Extending Kubernetes API by
MongoDB specific objects, like
OpsManager or ShardedCluster
Uses K8s best practice - Affinity,
Pod Disruption Budget, Resource
management and K8s reliability
features like auto healing

8. The Operator tell K8s how to configure MDB cluster including provisioning storage,
setting up the network connections, and configuring other resources

9. The Kubernetes operator watches Custom Resources
_ Observe the actual state
_ Analyse difference from
desired state
_ Take action
_ Drive the actual state
towards the desired stare
_ Repeat!
Observe
Analyse
Act
my-replica set has 2 running
pods
Differs from desired state of
3 replicas (pods)
Action:
- Start a pod
- Add pod to the cluster
- Waiting for replication

10. • The Operator is Apache open source
• Currently only Replica Set
• Suited for experimentation and testing
• Automated cluster provisioning
• Client-to-server, server-to-server with TLS
• Scale replica sets up and down
• Automated rolling updates
• Provides metrics target that can be used
with Prometheus
MongoDB Community Kubernetes Operator

11. 1
1
custom resource
• 1
1
---
apiVersion: mongodbcommunity.mongodb.com/v1
kind: MongoDBCommunity
metadata:
name: mongodb-replica-set
namespace: mongodb
spec: members: 3
type: ReplicaSet
version: “5.0.5"
security:
authentication:
modes: ["SCRAM"]

13. • Replica Sets, Sharded Clusters, Standalones
• AAA, TLS for all traffic between servers and
between clients and servers
• Ops Manager - monitoring and
management platform for MongoDB
• Backup Infrastructure (PIT Restore,
consistent backup of shard clusters)
• User management support
• Encryption at Rest,
• Multi-Cluster Capabilities
MongoDB Enterprise Kubernetes Operator

14. MongoDB Custom Resource types
1
4

15. 1
5
custom resources
• 1
5
---
apiVersion: mongodb.com/v1
kind: MongoDBOpsManager
metadata:
name: ops-manager
spec:
version: 5.0.5
externalConnectivity:
type: LoadBalancer
applicationDatabase:
members: 3
version: 4.0.5-ent
---
apiVersion: mongodb.com/v1
kind: MongoDB
metadata:
name: sharded-cluster
spec:
shardCount: 2
mongodsPerShardCount: 3
version: 5.0.5
type: ShardedCluster

16. MongoDBUser custom resource
1
6

17. 1
7
• 1
7
---
apiVersion: mongodb.com/v1
kind: MongoDBMulti
metadata:
name: multi-replica-set
spec:
version: 5.0.5
type: ReplicaSet
clusterSpecList:
clusterSpecs:
clusterName:
- cluster1.mongokubernetes.com
members: 2
- cluster2.mongokubernetes.com
members: 1
- cluster2.mongokubernetes.com
members: 1

18. 1
8

19. • Manage Atlas clusters in directly K8s
• Automated Atlas cluster provisioning
• Integrate Atlas with Kubernetes-native
CI/CD pipelines
• Setup Cloud backup
• Database users management
Atlas Kubernetes Operator

20. 2
0
custom resources
• 2
0
---
apiVersion: atlas.mongodb.com/v1 kind:
AtlasProject
metadata:
name: my-project
spec:
name: Test Atlas Operator Project
projectIpAccessList:
- ipAddress: "192.0.2.15”
comment: "IP address for
App Server A"
---
apiVersion: atlas.mongodb.com/v1 kind:
AtlasDeployment
metadata:
name: my-atlas-deployment
spec:
projectRef:
name: my-project
deploymentSpec:
name: test-deployment
providerSettings:
instanceSizeName: M10

21. 2
1
custom resources
• 2
1
---
apiVersion: atlas.mongodb.com/v1
kind: AtlasBackupPolicy
metadata:
name: atlas-backup-policy
spec:
items:
frequencyType: "weekly"
frequencyInterval: 1
retentionUnit: "days"
retentionValue: 7
---
apiVersion: atlas.mongodb.com/v1
kind: AtlasDatabaseUser
metadata:
name: my-database -user
spec:
roles:
- roleName: "readWriteAnyDatabase”
databaseName: "admin"
projectRef:
name: my-project
username: the-user

22. • Operators reduce complexity
• Extends K8s API by MongoDB objects
• Improve consistency
• Automate at the level you need
• The operator creates persistent volumes and
STS for MongoDB Replica Set
• Recommendedn method of
running databases on K8s
Summary