![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
}](https://image.slidesharecdn.com/introtomongdbdo-170401160918/85/MongoDB-and-DigitalOcean-Automation-with-Cloud-Manager-14-320.jpg)
![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!](https://image.slidesharecdn.com/introtomongdbdo-170401160918/85/MongoDB-and-DigitalOcean-Automation-with-Cloud-Manager-15-320.jpg)
![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](https://image.slidesharecdn.com/introtomongdbdo-170401160918/85/MongoDB-and-DigitalOcean-Automation-with-Cloud-Manager-16-320.jpg)
MongoDB and DigitalOcean Automation with Cloud Manager
- 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
- 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?
- 27. Failure of Primary PRIMARY SECONDARY SECONDARY DRIVER APPLICATION
- 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!
- 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
- 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