Amadeus recognizes ‘MongoDB Enterprise Operator for Kubernetes’ as valuable integrator Kubernetes and MongoDB Ops Manager

1. ©AmadeusITGroupanditsaffiliatesandsubsidiaries
Mastering the right K8s
Infrastructure to run MongoDB @
Scale
Paul Hubert
Arkadiusz Boruki

2. 1. Introduction
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3. ©AmadeusITGroupanditsaffiliatesandsubsidiaries
Amadeus in a few words
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_ We are the leading technology
company dedicated to the
global travel industry
_ We are present in 190+
countries and employ 17,000+
people worldwide
_ Our solutions enrich travel for
billions of people every year
_ We work together with our
customers, partners and other
players in the industry to
improve business performance
and shape the future of travel
7th consecutive year
included in the DJSI
Recognized as world leader in the
Software & Services industry sector
in the Dow Jones Sustainability
Index in 2018
In world’s top 10
Software companies
Forbes 2018 global
rankings
1.6+ billion
Passengers boarded
in 2017 with
Amadeus and
Navitaire solutions
630+ million
Total bookings
processed in 2017
using the Amadeus
distribution
platform
Euro Stoxx 50
Entry in 2018
Recognition as
one of the largest/
best performing
public companies
in Europe

4. Enriching every step of the traveler’s journey
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4
On-trip
Post-trip
Inspire Shop
Book
Pre-trip

5. 300+
Our customers
©AmadeusITGroupanditsaffiliatesandsubsidiaries
airport
operators
ground
handlers
hotel
chains
travel agencies,
online travel agencies,
tour operators and
corporations
worldwide
car
rental
companies
rail
operators
insurance
provider
groups
cruise
and
ferry
lines
airlines
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90 43 29 53
128 112770

6. How travel will grow in the future
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6
WTTC Economic Impact World 2017
Projected growth in global air travel
Domestic and international
air passengers growth
Total contribution
of travel & tourism to
global GDP (in USD billions)
11,512.9
4.1
in
2017
billion air
passenger
segments*
7.8
in
2036
billion air
passenger
segments**
2013 2014 2015 2016 2017 2027
3.9%
annual
growth
*IATA Press Release No.: 70: READ MORE
**IATA Press Release No.: 55: READ MORE

7. 7
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Airline disruption - soon to be a problem of the past

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2. MongoDB and K8s –
Infrastructure side

9. _System of engagement vs system of records
• Shopping experience is key but I need consistency for my booking
_Left hand needs to talk to right hand
• End to end consistency between my MongoDB instance and the media supporting
the persistency
_From pets to cattle
• Need high level of automation
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MongoDB and K8s –
Drivers for a new Infrastructure

10. 10
Chopping Experience!
Over 1T availability
Request/day
10M availability
per sec
May 2011
>50B
500K availability
request for one
booking!
years2011 2018
AvailabilityRequests

11. _Used to be about (low level details):
• LUN size, type of RAID protection, amount of CPU cores …
_Nowadays Infrastructure expectation (contract on a service):
• HA through Availability Zones and Regions
• Contract with SLA and SLO
• IO performance and data durability
• Charge back
• Reporting
• Maintenance notification
• Self Service Kiosk
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Left hand needs to talk to right hand –
be clear on the Contract

12. _The Availability Zone is the smallest ‘Failure Domain’
entity of your service contract but too large entity for
infrastructure resiliency unites like clusters (scalability
problem and too big to fail)
_Data locality is key to control performance and network
traffic
_Align your db storage engine with the one of your Flash
media
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Left hand needs to talk to right hand –
Failure Domain and Performance Cases
SDS
Abstraction Layers
SDN

13. _The Availability Zone is the smallest ‘Failure Domain’
entity of your service contract but too large entity for
infrastructure resiliency unites like clusters (scalability
problem and too big to fail)
_Data locality is key to control performance and network
traffic
_Align your db storage engine with the one of your Flash
media
13
Left hand needs to talk to right hand –
Failure Domain and Performance Cases
SDS
Abstraction Layers
SDN

14. 14
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Infrastructure Workflow – Provisioning Example
High level building block perspective
Blue print
1 mongo cluster
1 shard
2 replicas

15. 15
©AmadeusITGroupanditsaffiliatesandsubsidiaries
Infrastructure Workflow – Provisioning Example
High level building block perspective
Blue print
1 mongo cluster
1 shard
2 replicas
Availability Zone 1
Infrastructure Pod

16. Availability Zone 3
Availability Zone 2
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©AmadeusITGroupanditsaffiliatesandsubsidiaries
Infrastructure Workflow – Provisioning Example
High level building block perspective
Blue print
1 mongo cluster
1 shard
2 replicas
Availability Zone 1
Infrastructure Pod
Compute
tenant
Storage
tenant
VolumeContainerized
App
K8s Pod 10.10.10.1

17. _As seen the Infrastructure provides through Kiosk or APIs all the means to
automate the deployment of your MongoDB cluster following the End User
Blue Print and under K8s supervision
_Next level of automation is to tackle DBA Management activities: Cluster
creation, upgrade, HA/resiliency, Scale-out, backup
_Now why we used to develop such an automation through a set of scripts
leveraging OPS manager, why don’t Mongo would provide them directly to us
via now the de facto industry standard orchestrator K8s
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Pets to Cattle –
Management @ Scale

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3. MongoDB and K8s –
Enterprise Operators

19. _Stateless containers are not good for database!
_Since K8s version 1.5 – StatefulSets API object.
_StatefulSets are perfect for applications that require the following:
Stable, unique network identifiers.
Stable, persistent storage.
Ordered, automated rolling updates.
Ordered, graceful deployment and scaling.
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Stateful Containers
Management @ Scale

20. _Controller that extends the Kubernetes API.
_K8s and MongoDB Ops Manager integration.
_Ops Managers features on K8s cluster!
Backup, Automation and Pod’s Monitoring
_ Automates the provisioning of StatefulSets for the MongoDB replica set.
_ Creates a deployment in MongoDB Ops Manager project.
_Automates common tasks, to achieve the desired state.
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K8S MongoDB Enterprise Operator –
Management @ Scale

21. Operator architecture
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22. 22

23. _MongoDbStandalone,
_MongoDbReplicaSet,
_MongoDbShardedCluster,
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MongoDB Objects
@ K8S MongoDB Enterprise Operator
---
apiVersion: mongodb.com/v1
kind: MongoDbShardedCluster
metadata:
name: London2018
namespace: mongodb
spec:
shardCount: 2
mongodPerShardCount: 3
mongosCount: 2
configServerCount: 3

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Thank You!