MongoDB @ Johannesburg day 1

Transcript

2. MongoDB Introduction Bill Brooks – Territory Manager, SEMEA Norberto Leite – Senior Solutions Architect, SEMEA
3. 3 MongoDB The leading NoSQL database Document Database Open- Source General Purpose
4. 4 MongoDB Business Value Enabling New Apps Better Customer Experience Lower TCO Faster Time to Market
5. 5 To provide the best database for how we build and run apps today MongoDB Vision Build –  New and complex data –  Flexible –  New languages –  Faster development Run –  Big Data scalability –  Real-time –  Commodity hardware –  Cloud
6. 6 4,000,000+ MongoDB Downloads 100,000+ Online Education Registrants 20,000+ MongoDB User Group Members 20,000+ MongoDB Days Attendees 15,000+ MongoDB Management Service (MMS) Users Global Community
7. 7 Indeed.com Trends Top Job Trends 1. HTML 5 2. MongoDB 3. iOS 4. Android 5. Mobile Apps 6. Puppet 7. Hadoop 8. jQuery 9. PaaS 10. Social Media Leading NoSQL Database LinkedIn Job Skills MongoDB Competitor 1 Competitor 2 Competitor 3 Competitor 4 Competitor 5 All Others Google Search MongoDB Competitor 1 Competitor 2 Competitor 3 Competitor 4 Jaspersoft Big Data Index Direct Real-Time Downloads MongoDB Competitor 1 Competitor 2 Competitor 3
8. 8 Data Hub User Data Management Big Data Content Mgmt & Delivery Mobile & Social MongoDB Solutions
9. 9 MongoDB Partners (200+) Software & Services Cloud & Channel Hardware
10. 10 Relational Database Challenges Data Types •  Unstructured data •  Semi-structured data •  Polymorphic data Volume of Data •  Petabytes of data •  Trillions of records •  Millions of queries per second Agile Development •  Iterative •  Short development cycles •  New workloads New Architectures •  Horizontal scaling •  Commodity servers •  Cloud computing
11. 11 RDBMS Agility MongoDB { _id : ObjectId("4c4ba5e5e8aabf3"), employee_name: "Dunham, Justin", department : "Marketing", title : "Product Manager, Web", report_up: "Neray, Graham", pay_band: “C", benefits : [ { type : "Health", plan : "PPO Plus" }, { type : "Dental", plan : "Standard" } ] }
12. 12 MongoDB Performance* Top 5 Marketing Firm Government Agency Top 5 Investment Bank Data Key/value 10+ fields, arrays, nested documents 20+ fields, arrays, nested documents Queries Key-based 1 – 100 docs/query 80/20 read/write Compound queries Range queries MapReduce 20/80 read/write Compound queries Range queries 50/50 read/write Servers ~250 ~50 ~40 Ops/sec 1,200,000 500,000 30,000 * These figures are provided as examples. Your application governs your performance.
13. 13 MongoDB Features •  JSON Document Model with Dynamic Schemas •  Auto-Sharding for Horizontal Scalability •  Text Search •  Aggregation Framework and MapReduce •  Full, Flexible Index Support and Rich Queries •  Built-In Replication for High Availability •  Advanced Security •  Large Media Storage with GridFS
14. 14 MongoDB and Enterprise IT Strategy Legacy Strategic Apps On-Premise SaaS, Mobile, Social Database Oracle MongoDB Offline Data Teradata Hadoop Compute Scale-Up Server Commodity HW / Cloud Storage SAN Local Storage / Cloud Network Routers and Switches Software-Defined Networks
15. 15 MongoDB and Enterprise IT Stack EDW Hadoop Management & Monitoring Security & Auditing RDBMS CRM, ERP, Collaboration, Mobile, BI OS & Virtualization, Compute, Storage, Network RDBMS Applications Infrastructure Data Management Online Data Offline Data
16. MongoDB Solution
17. 17 Better Data Locality Performance In-Memory Caching In-Place Updates
18. 18 Scalability Auto-Sharding •  Increase capacity as you go •  Commodity and cloud architectures •  Improved operational simplicity and cost visibility
19. 19 High Availability •  Automated replication and failover •  Multi-data center support •  Improved operational simplicity (e.g., HW swaps) •  Data durability and consistency
20. 20 MongoDB Architecture
21. Developers Perspective
22. 22 Shell Command-line shell for interacting directly with database Shell and Drivers Drivers Drivers for most popular programming languages and frameworks > db.collection.insert({product:“MongoDB”, type:“Document Database”}) > > db.collection.findOne() { “_id” : ObjectId(“5106c1c2fc629bfe52792e86”), “product” : “MongoDB” “type” : “Document Database” } Java Python Perl Ruby Haskell JavaScript
23. 23 MongoDB is full featured MongoDB Rich Queries •  Find Paul’s cars •  Find everybody in London with a car built 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 up in China?) { ! first_name: ‘Paul’,! surname: ‘Miller’,! city: ‘London’,! location: [45.123,47.232],! cars: [ ! { model: ‘Bentley’,! year: 1973,! value: 100000, … },! { model: ‘Rolls Royce’,! year: 1965,! value: 330000, … }! }! }!
24. 24 Document Data Model Relational MongoDB { ! first_name: ‘Paul’,! surname: ‘Miller’,! city: ‘London’,! location: [45.123,47.232],! cars: [ ! { model: ‘Bentley’,! year: 1973,! value: 100000, … },! { model: ‘Rolls Royce’,! year: 1965,! value: 330000, … }! }! }!
25. 25 Document Model Benefits •  Agility and flexibility –  Data models can evolve easily –  Companies can adapt to changes quickly •  Intuitive, natural data representation –  Developers are more productive –  Many types of applications are a good fit •  Reduces the need for joins, disk seeks –  Programming is more simple –  Performance can be delivered at scale
26. 26 It Hides What You’re Really Doing
27. 27 And Makes Things Hard to Change New Table New Table New Column Name Pet Phone Email New Column 3 months later…
28. 28 Developers are more productive
29. 29 Developers are more productive
30. 30 Developers are more productive
31. Operations Perspective
32. 32 •  High Availability – Ensure application availability during many types of failures •  Disaster Recovery – Address the RTO and RPO goals for business continuity •  Maintenance – Perform upgrades and other maintenance operations with no application downtime Availability Considerations
33. 33 Replica Sets •  Replica Set – two or more copies •  “Self-healing” shard •  Addresses many concerns: -  High Availability -  Disaster Recovery -  Maintenance
34. 34 Replica Set Benefits Business Needs Replica Set Benefits High Availability Automated failover Disaster Recovery Hot backups offsite Maintenance Rolling upgrades Low Latency Locate data near users Workload Isolation Read from non-primary replicas Data Privacy Restrict data to physical location Data Consistency Tunable Consistency
35. 35 Automatic Sharding •  Three types of sharding: hash-based, range-based, tag- aware •  Increase or decrease capacity as you go •  Automatic balancing
36. 36 Query Routing •  Multiple query optimization models •  Each sharding option appropriate for different apps
37. 37 Sharding and Replication
38. 38 MongoDB Architecture
39. 39 MongoDB Architecture
40. 40 MongoDB Architecture
41. 41 Single Data Center •  Automated failover •  Tolerates server failures •  Tolerates rack failures •  Number of replicas defines failure tolerance Primary – A Primary – B Primary – C Secondary – A Secondary – A Secondary – B Secondary – B Secondary – C Secondary – C
42. 42 Active/Standby Data Center •  Tolerates server and rack failure •  Standby data center Data Center - West Primary – A Primary – B Primary – C Secondary – A Secondary – B Secondary – C Data Center - East Secondary – A Secondary – B Secondary – C
43. 43 Active/Active Data Center •  Tolerates server, rack, data center failures, network partitions Data Center - West Primary – A Primary – B Primary – C Secondary – A Secondary – B Secondary – C Data Center - East Secondary – A Secondary – B Secondary – C Secondary – B Secondary – C Secondary – A Data Center - Central Arbiter – A Arbiter – B Arbiter – C
44. 44 Global Data Distribution Real-time Real-time Real-time Real-time Real-time Real-time Real-time Primary Secondary Secondary Secondary Secondary Secondary Secondary Secondary
45. 45 Read Global/Write Local Primary:NYC Secondary:NYC Primary:LON Primary:SYD Secondary:LON Secondary:NYC Secondary:SYD Secondary:LON Secondary:SYD
46. 46 •  Monitoring, with charts, dashboards and alerts on 100+ metrics •  Backup and restore, with point- in-time recovery, support for sharded clusters MongoDB Management Service Cloud-based suite of services for managing MongoDB deployments •  MMS On-Prem included with MongoDB Enterprise (backup coming soon)
48. 48 MongoDB Overview 300+ employees 600+ customers Offices in New York, Palo Alto, Washington DC, London, Dublin, Barcelona and Sydney Over $231 million in funding
49. 49 MongoDB Products and Services Training Online and In-Person for Developers and Administrators MongoDB Management Service (MMS) Cloud-Based Suite of Services for Managing MongoDB Deployments Subscriptions MongoDB Enterprise, MMS (On-Prem), Professional Support, Commercial License Consulting Expert Resources for All Phases of MongoDB Implementations
50. 50 Subscriptions Community Basic Standard Enterprise Edition MongoDB MongoDB MongoDB MongoDB Enterprise SLA N/A 4 hours 1 Hour 30 Minutes Support Community 9am – 9pm ET M – F 24x7x365 24x7x365 License AGPL AGPL Commercial Commercial
51. 51 MongoDB Enterprise Enterprise build with value-added capabilities •  Advanced Security w/Kerberos •  On-Prem Management –  Visualization and alerts on 100+ system metrics –  Backup features coming soon –  On-premise version of MongoDB Monitoring Services (MMS) •  Enterprise Software Integration via SNMP •  Private, On-Demand MongoDB University Training •  Certified OS Support
52. 52 MongoDB Distribution Model Channel Partners Cloud Partners SW/HW Partners Service Partners •  Directly Manage Named Accounts •  Help Partners with Co-Sell Activities •  Share Opportunities with Partners •  Re-Sell MongoDB to Customers •  Add Value by Providing Solutions and Services •  Help Go-To-Market Activities •  Acts as a Distribution Channel (via Marketplaces) •  Facilitate Adoption of MongoDB •  Co-Market 10gen’s Products (XaaS) •  Embed, Certify and Enhance MongoDB •  Co-Market and Co-Sell 10gen’s products •  Facilitate Adoption of MongoDB •  Build MongoDB Applications •  Adopt MongoDB as a Standard Development Platform •  Deliver Consulting and Training Services Direct Sales
53. 53 •  10 of the Top Financial Services Institutions •  10 of the Top Electronics Companies •  10 of the Top Media and Entertainment Companies •  8 of the Top Retailers •  6 of the Top Telcos •  5 of the Top Technology Companies •  4 of the Top Healthcare Companies Fortune 500 & Global 500
54. 54 Leading Organizations Rely on MongoDB
55. 55 •  Physical Presence •  Partner Network •  Local Training •  Support Community MongoDB Strategy in South Africa
57. Questions?