Jay Gordon, a developer advocate at MongoDB and former roles at Buzzfeed and DigitalOcean, introduces MongoDB's features such as high concurrency, rich document structures, and flexible schema. The document covers essential components like replication, sharding, and deployment options on DigitalOcean, along with MongoDB Cloud Manager for backups and security. It also mentions the upcoming MongoDB World 2017 conference, highlighting its significance for developers and IT professionals.

1. MongoDB and
DigitalOcean
Jay Gordon
Developer Advocate - NYC
@jaydestro

2. Jay Gordon
Developer Advocate - NYC
@jaydestro
{
"name" : "Jay Gordon",
"what" : Dev Advocate,
"former roles" : [
{ "title" : "SysAdmin",
"company": "BuzzFeed"
},
{ "title" : "Platform Engineer",
"company" : "DigitalOcean"
}
Area Man Talks About Software

3. Jay Gordon
Developer Advocate - NYC
@jaydestro
GET TO THE POINT.
Topics:
- Introducing MongoDB
- What’s under the hood?
- What makes up MongoDB?
- How can I configure MongoDB
with DO?

4. Jay Gordon
Developer Advocate - NYC
@jaydestro
GET TO THE POINT.
Not gonna:
- Use a silly analogy
about MongoDB and my
favorite sports
personality.
- Badmouth other DBs.
- Code live.

5. The Modern App
• High Concurrency
• High Throughput
• Low Latency
• Real-time analytics
• Cost Effective
• Zero downtime

6. Let’s Meet MongoDB

7. Let’s Meet MongoDB

8. Let’s Meet MongoDB

9. Drivers & Frameworks
Morphia
MEAN Stack

10. We’re Talking about Documents.

11. We’re Talking about Documents.

12. We’re Talking about Documents.

13. We’re Talking about Documents.

14. Your data is stored in JSON Style
game {
player_one: PlayerID,
player_two: PlayerID,
moves [ { token: <moveToken1>, ts: timestamp1 }, { token:
<moveToken2>, ts: timestamp2 ... ],
game_parameters: { param1 : v, param2 : v, ... },
start_time: ts,
end_time: ts,
state: <state>, // in_play, mate, resign, draw
winner: W || B || D
}

15. Documents are Rich Data Structures
{
first_name: ‘Paul’,
surname: ‘Miller’,
cell: 447557505611,
city: ‘London’,
location: [45.123,47.232],
Profession: [‘banking’, ‘finance’, ‘trader’],
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
]
}
Fields can contain an array
of sub-documents
Typed field values
Fields can contain arraysFields
Fields can be indexed and
queried at any level
ORM layer removed – Data is
already an object!

16. Documents are Flexible
{
sku: ‘PAINTZXC123’,
product_name: ‘Acme Paint’,
color: [‘Red’, ‘Green’],
size_oz: [8, 32],
finish: [‘satin’, ‘eggshell’]
}
{
sku: ‘TSHRTASD43546’,
product_name: ‘T-shirt’,
size: [‘S’, ‘M’, ‘L’, ‘XL’],
color: [‘Heather Gray’ … ],
material: ‘100% cotton’,
wash: ‘cold’,
dry: ‘tumble dry low’
}
{
sku: ‘CYCLBVCX6543’,
product_name: ‘Mountain Bike’,
brake_style: ‘mechanical disc’,
color: ‘grey’,
frame_material: ‘aluminum’,
no_speeds: 21,
package_height: ‘7.5x32.9x55’,
weight_lbs: 44.05,
suspension_type: ‘dual’,
wheel_size_in: 26
}
Documents in the same product catalog collection in MongoDB

17. BSON Storage

18. BSON Storage

19. Expressive Query Language
Rich Queries
Find Paul’s cars
Find everybody in London with a car between 1970 and 1980
Geospatial Find all of the car owners within 5km of Trafalgar Sq.
Text Search Find all the cars described as having leather seats
Aggregation Calculate the average value of Paul’s car collection
Map Reduce
What is the ownership pattern of colors by geography over time
(is purple trending in China?)

21. MongoDB 3.4 – Multi-Model Database
Document
Rich JSON Data Structures
Flexible Schema
Global Scale
Relational
Left-Outer Join
Views
Schema Validation
Key/Value
Horizontal Scale
In-Memory
Search
Text Search
Multiple Languages
Faceted Search
Binaries
Files & Metadata
Encrypted
Graph
Graph & Hierarchical
Recursive Lookups
GeoSpatial
GeoJSON
2D & 2DSphere

22. Aggregation Pipeline
The aggregation pipeline is a
framework for data aggregation
modeled on the concept of data
processing pipelines. Documents enter
a multi-stage pipeline that transforms
the documents into aggregated
results.

24. Let’s talk what’s
inside the your new
MongoDB cluster.

25. • Primary
• Secondary
• Votes and Elections
• Arbiters
• Hidden, delayed secondaries
• Config Servers
What Components Make Up MongoDB?

26. Replication
PRIMARY
SECONDARY SECONDARY
DRIVER
APPLICATION

27. Failure of Primary
PRIMARY
SECONDARY SECONDARY
DRIVER
APPLICATION

28. ELECTION TIME
OFFLINE
SECONDARY
DRIVER
APPLICATION
PRIMARY

29. WE LIVE!
RECOVERY
SECONDARY
DRIVER
APPLICATION
PRIMARY

30. Back to Biz
SECONDARY
SECONDARY
DRIVER
APPLICATION
PRIMARY

31. Sharding
SHARD
0
SHARD
1
SHARD
2
SHARD
3
ROUTER
mongos
DRIVER
APPLICATION
P
S S
CONFIG SERVERS

32. Sharding & Replication
ROUTER
mongos
DRIVER
APPLICATION
P
S S
P
S S
P
S S
P
S S
P
S S
CONFIG SERVERS

33. Helping you deploy in any environment
Control
Cloud ManagerOps Manager MongoDB Atlas
data: on-prem or cloud
ops: on-prem or cloud
data: on-prem or cloud
ops: cloud
Fully Managed Cloud
Convenience

34. Lots of Work, A New Database!
PATCHES
UPGRADES
SECURITY
BACKUPS
RECOVERY
99.999% UPTIME
UPSCALE
DOWNSCALE

35. MongoDB Cloud
Manager
The Easiest Way to
Get Started With
DigitalOcean (Ops!)

36. Example of Web App on DO Network
Cloud Manager
data: on-prem or cloud
ops: cloud

37. Example of Web App on DO Network
Cloud Manager
data: on-prem or cloud
ops: cloud
MongoDB –
Three droplet
cluster.
NodeJS–
Two droplet web app.
DigitalOcean -
Load Balancer

42. Configure Private IP Network
root@mongodb-1gb-nyc2-01:~# /sbin/ifconfig
eth1 | grep 'inet addr:' | cut -d: -f2| cut
-d' ' -f1
10.128.32.63
root@mongodb-1gb-nyc2-02:~# /sbin/ifconfig
eth1 | grep 'inet addr:' | cut -d: -f2| cut
-d' ' -f1
10.128.32.64
root@mongodb-1gb-nyc2-03:~# /sbin/ifconfig
eth1 | grep 'inet addr:' | cut -d: -f2| cut
-d' ' -f1
10.128.32.66

43. Hosts file or DNS
root@mongodb-1gb-nyc2-01:~# hostname -f
mongodb-1gb-nyc2-01
root@mongodb-1gb-nyc2-02:~# hostname -f
mongodb-1gb-nyc2-02
root@mongodb-1gb-nyc2-03:~# hostname -f
mongodb-1gb-nyc2-03
Create hosts file entry for each site and then enter it into
each server’s /etc/hosts/ file:
10.128.32.63 mongodb-1gb-nyc2-01
10.128.32.64 mongodb-1gb-nyc2-02
10.128.32.66 mongodb-1gb-nyc2-03

47. Automate your install to Droplets

48. Finalize changes and deploy

49. Ready for your connection string!

50. Sophisticated Security Threats

51. Continuous Backup / Point-in-time Restore
Under the hood
● MongoDB Cloud Manager continuously backs up your data,
ensuring your backups are typically just a few seconds behind the
operational system
● Point-in-time backup of replica sets and consistent, cluster-wide
snapshots of sharded clusters. With MongoDB Cloud Manager,
you can easily and safely restore to precisely the moment you
need
● Compression and block-level deduplication technology keeps
your backup processes as efficient as possible
● Backups are securely stored in North America and Europe. For
location flexibility of your backup data, you can utilize MongoDB’s
mongodump / mongorestore tools

52. Operations Burden
PATCHES
UPGRADES
SECURITY
BACKUPS
RECOVERY
99.999% UPTIME
UPSCALE
DOWNSCALE
PERFORMANCE
UAT
STAGING
MONITORING
ALERTS
PROVISION
CONFIGURE
INSTALL

53. Join us at MongoDB World 2017
June 20-21
Chicago, IL
Bringing together 3000 developers, architects, IT professionals
and executive decision makers, MongoDB World is the foremost
conference dedicated to the database for giant ideas.
www.mongodb.com/events/mongodb-world-2017
25% Discount with JayGordon25