MongoDB on Azure
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The document discusses the integration of MongoDB with Azure, highlighting MongoDB's features as a general-purpose document database and its cloud deployment capabilities. It emphasizes the benefits of using Cloud Manager for provisioning, cluster management, and monitoring of MongoDB deployments on Azure. Additionally, it outlines the growing market for cloud-based solutions and the importance of easy deployment and management for large sets of machines.
![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
Fields
Fields can contain
arrays
Typed field valuesString
Number](https://image.slidesharecdn.com/azure-151027083833-lva1-app6892/85/MongoDB-on-Azure-9-320.jpg)
MongoDB on Azure
- 3. 3 Ola! Norberto Leite Technical Evangelist Madrid, Spain http://www.mongodb.com/norberto @nleite [email protected]
- 4. 4 Todays webinar is about …
- 5. 5 … Azure and MognoDB
- 6. 6 Agenda MongoDB Introduction Cloud Deployments MongoDB + Azure Demo
- 7. Introduction
- 8. 8 MongoDB GENERAL PURPOSE DOCUMENT DATABASE OPEN-SOURCE
- 9. 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 Fields Fields can contain arrays Typed field valuesString Number
- 10. Dynamic Schemas { policyNum: 123, type: auto, customerId: abc, payment: 899, deductible: 500, make: Taurus, model: Ford, VIN: 123ABC456, } { policyNum: 456, type: life, customerId: efg, payment: 240, policyValue: 125000, start: jan, 1995 end: jan, 2015 } { policyNum: 789, type: home, customerId: hij, payment: 650, deductible: 1000, floodCoverage: No, street: “10 Maple Lane”, city: “Springfield”, state: “Maryland” }
- 11. MongoDB is Fully Featured
- 12. 12 Nexus Architecture Relational NoSQL Expressive Query Language Strong Consistency Secondary Indexes Flexibility Scalability Performance
- 13. Gartner, Inc. recognized MongoDB as a Leader in the 2015 Magic Quadrant for Operational Database Management Systems.* *Gartner, Inc., Magic Quadrant for Operational Database Management Systems by Donald Feinberg, Merv Adrian, Nick Heudecker, Adam M. Ronthal, and Terilyn Palanca, October 12, 2015. *Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from MongoDB, Inc.
- 14. 14 4th Most Popular, Fastest Growing RANK DBMS MODEL SCORE GROWTH (20 MO) 1. Oracle Relational DBMS 1,442 -5% 2. MySQL Relational DBMS 1,294 2% 3. Microsoft SQL Server Relational DBMS 1,131 -10% 4. MongoDB Document Store 277 172% 5. PostgreSQL Relational DBMS 273 40% 6. DB2 Relational DBMS 201 11% 7. Microsoft Access Relational DBMS 146 -26% 8. Cassandra Wide Column 107 87% 9. SQLite Relational DBMS 105 19% Source: DB-engines database popularity rankings; May 2015 Only non-relational in the top 5; 2.5x ahead of nearest NoSQL Competitor
- 15. 15 Replica Sets Replica Set – 2 to 50 copies Self-healing shard Data Center Aware Addresses availability considerations: High Availability Disaster Recovery Maintenance Workload Isolation: operational & analytics
- 16. 16 Automatic Sharding Three types: hash-based, range-based, location-aware Increase or decrease capacity as you go Automatic balancing
- 22. MongoDB has been designed for the Cloud
- 23. Designed for new Global use cases
- 24. The question is not if you are moving to the cloud but when!
- 25. So it's fair to say that …
- 27. MongoDB + Azure
- 28. 2 Options Azure Provisioning Cloud Manager Provisioning Azure Console Cloud Manager Account Shell configuration Automation Configuration Production Ready Beta Version
- 30. 30 Provisioning & Cluster Management ü Cloud Manager can: ü Provision and deploy directly to Azure(beta!!!!) ü Deploy MongoDB to servers in datacenters ü Import existing MongoDB deployments ü Cloud Manager will manage: ² Standalone instances ² Replica sets ² Sharded clusters
- 31. 31 Monitoring The Cluster ü Cloud Manager Monitors: ü All aspects of database (op counters, replication lag, etc.) ü Slow queries (with profiling enabled) ü Logs (view and collect) ü DB stats (Object size, indexes, collections, etc.)
- 32. Demo
- 34. Azure Manual Setup Azure Provisioning 3 Node Replica Set Pre-provisioned Linux Machines A few manual configurations
- 35. Cloud Manager Setup Cloud Manager 3 Node Replica Set Account Connection 0 Manual intervention
- 36. Takeaways
- 37. 37 Summary • Deploying on the cloud is a must • Deploying MongoDB on cloud is very easy • Large sets of machines can be troublesome to manage: – Cloud Manager Helps – Out-of-the-box Monitoring, Backup, Automation • Azure integration a top priority – Tools – Better integration – Windows Support
- 38. 38 For More Information Resource Location Case Studies mongodb.com/customers Presentations mongodb.com/presentations Free Online Training education.mongodb.com Webinars and Events mongodb.com/events Documentation docs.mongodb.org MongoDB Downloads mongodb.com/download Additional Info [email protected]