Ben Sabrin, VP of Sales at 10gen, welcomed attendees to the MongoDB Seattle conference. The document provided historical context about changes in computer hardware from 1970 to 2012, noting massive increases in memory, storage and processor capabilities. It suggested this signals a "data revolution" and the need for a new database like MongoDB. The document outlined MongoDB's goals of being scalable, agile, natural and cloud-ready. It described some key design decisions, 10gen's vision and team members. It concluded by outlining the conference schedule covering MongoDB concepts, use cases and the ecosystem.
[2024]Digital Global Overview Report 2024 Meltwater.pdf
Mongo db day seattle keynote
1. Ben Sabrin, VP, Sales of 10gen
ben@10gen.com
@bsabrin
Welcome to MongoDB Seattle
#mongodbseattle
2. The world has changed
1970 2012
Main memory Intel 1103, 128 bytes 4GB of RAM costs $25.99
Mass storage IBM 3330 Model 1, 100 MB 3TB Superspeed USB for $129
Microprocessor Nearly – 4004 being Westmere EX has 10 cores,
developed; 92,000 instructions runs at 2.4GHz
per second
Server Hardware Mainframe Commodity x86 servers
10. VISION
• CHANGE THE DATABASE
MARKET
• THE CUSTOMER MUST
ALWAYS WIN
• BE FANATICAL ABOUT
CUSTOMER SUPPORT
11. Meet the 10gen Team!
We suited up for you – Look for the blue MongoDB staff shirts and polos
• Executive Team • Sales Team
– Paul Pedersen, Deputy CTO – Steven Loewy
– Ben Sabrin, VP of Sales – Ali Azhar
• Engineering Team – Jeremy Taylor
– Dan Pasette • Marketing Team
– Sridhar Nanjundeswaran – Meghan Gill
– Bernie Hackett – Melia Jones
– Scott Hernandez – Sam Hallock
– Ian Whalen – Graham Neray
– Asya Kamsky – Caitlin Quinlan
– Emily Stolfo
– Aaron Heckman
– Randall Hunt
– Shawn Versch
– Kevin Hanson
11
14. Bay Auditorium: Core MongoDB Concepts
• Building your first app
• Schema Design
• Replication
• Indexing
• Sharding
• Backups
15. Sound: MongoDB Use Cases, Advanced sessions from
10gen and Partners
• MongoDB Use Cases from the Community
– Scaling MapMyFitness
– Schema Design at Scale
• Advanced Sessions
– Concurrency internals
– Real Time Analytics
– Performance Tuning
16. Cove: More MongoDB Use Cases, Ecosystem and
Partners
• MongoDB Use Cases
– How InfoTech, Inc. Migrated to MongoDB
– Sailthru: Moving From Cloud To Colo
– MongoDB for Time Series Data
• Ecosystem and Partners
– Best practices on Windows Azure
– Telephony Applications with OpenShift and Twilio
– MongoDB on Amazon EC2
– Automating a Secure MongoDB Deployment with Chef
18. And more!
• Ask the Experts – one-on-one sessions with 10gen
engineers in Marina
• Visit our Sponsor Hall for great swag
• Visit our 10gen table to learn about support,
consulting, training and recruiting
Editor's Notes
Not only is scaling a challenge, but the data model is complex