MongoDB Replica Sets on Windows Azure

Presented at MongoDB Silicon Valley in Dec 2011

Transcript

1. Deploying MongoDB on Azure Eduard Koller, Program Manager, Microsoft Sridhar Nanjundeswaran, Software Engineer, 10gen David Makogon, Cloud Solution Architect, Microsoft
2. Windows Azure Platform • Microsoft’s cloud platform to build, host and scale applications • Internet-scale computing and services • Hosted in Microsoft data centers Compute Storage Management CDN
3. Why Windows Azure? • More time coding, less time managing hardware and/or deploying applications • Scale your applications up or out on demand • Trust: Enterprise class service backed by reliable SLAs • Efficiency: Microsoft operates the Windows Azure platform at internet-scale
4. Azure Interoperability • Data portability • Cloud Standards • Ease of Migration and Deployment • Developer choice
5. Why MongoDB on Azure? • High availability built in • Data replication and durability built in • You can scale up on demand your application and the MongoDB database • You can scale out on demand your application and the MongoDB database(1)
6. MongoDB on Windows Azure Sample deployment:
7. VM high-availability
8. Data durability
9. DR and geo-replication
10. Scale up & down, in-place upgrade
11. API-driven management
12. MongoDB on Azure implementation history • Manual setup of replica sets – demo’ed at MongoSV 2010. David Makogon • Single instance with standby – demo’ed at MongoSF 2011. Sridhar Nanjundeswaran • Replica set support - now
13. Highlights • Uses standard MongoDB binaries • Code is open sourced • Works with VS Express • Automatic replica set initiation on deploy • Survives reboots of instances • Integration with Azure diagnostics • Data persisted on blob storage
14. DEMO MongoDB on Azure
15. Challenges • Debugging when building – On emulator debug – On deployment, trace + tools such as Cerebrata • IP potentially changes on reboot – DNS within mongodb. New cloud command • Bandwidth – Requires at least medium instance – Don’t store mongod.log on blob storage • Testing IP change – Reduce instance count and increase
16. The Solution • Source – https://github.com/mongodb/mongo-azure • Documentation – http://www.mongodb.org/display/DOCS/Mon goDB+on+Azure • Issues – mongodb-user google group – #mongodb IRC – https://jira.mongodb.org/browse/AZURE
17. The Future • Scale out using replica sets • MongoDB Monitoring • Backup and Recovery • Sharding