Speaker Lineup for MongoDB San Francisco

MongoDB San Francisco, 10gen’s most popular event of the year, is coming up on May 10. San Francisco has become a stronghold of tech innovation, and our lineup of exceptional speakers is testament to the exceptional MongoDB-powered ecosystem in the Bay Area.

Here are just a few of the awesome talks on the agenda for MongoDB San Francisco:

Using MongoDB for Groupon's Place Data, by Peter Bakkum, Member of Technical Staff, Groupon

The Merchant data team at Groupon uses MongoDB to create “the most comprehensive database of places and merchants in the world.” This is a mission-critical part of the Groupon platform providing real-time data for the business. In this session, get an inside view of Groupon’s MongoDB cluster: Peter will introduce attendees to the data model, data processing pipeline and the dynamics of parallel querying in their Storm cluster.

Managing a Maturing MongoDB Ecosystem, by Charity Majors, Systems Engineer, Parse

Parse, which was recently acquired by Facebook, provides scalable, cross-platform services and tools for developers. Parse engineer, Charity Majors, has a tremendous amount of experience managing Parse’s MongoDB clusters from their infancy into their golden years and will show best practices for keeping MongoDB clusters healthy. Charity’s scaling and performance tuning tips will help you become a MongoDB ops specialist.

How ServiceSource Revolutionized Its Business and Moved to the Cloud with MongoDB, by Greg Olsen, CTO, ServiceSource

In late 2012, ServiceSource released Renew OnDemand, designed to increase recurring revenue for the world's largest technology companies. Built on MongoDB, Renew is representative of a new generation of cloud-native enterprise applications that exploit innovative datastore and compute approaches to achieve fundamental improvements in capability and scale. Greg Olsen, CTO of ServiceSource, will discuss how his team has implemented MongoDB in a sharded environment, describe some of the unique characteristics of the platform and provide insight into how other service providers can be equally adaptive using MongoDB.

Storing eBay's Media Metadata on MongoDB, by Yuri Finkelstein, Architect, eBay

eBay is the largest secondary marketplace on the web. The eBay development team has been using MongoDB for project Zoom, where they store all of the website’s metadata, which includes references to every item’s photos on eBay. This cluster is eBay's first of many MongoDB installations on the platform, and was chosen for its flexible data model and improved performance. Yuri Finkelstein, an Enterprise Architect on the team, will provide a technical overview of this mission-critical project and its underlying architecture and discuss why the team chose MongoDB for project Zoom.

MongoDB and Meteor: an Architecture for Real-time Web Apps, Matt DeBergalis, Architect, Meteor

Meteor is a new JavaScript application platform -- specifically designed to work with MongoDB -- for building modern real-time web applications. These applications, like live analytics dashboards or those that show live data feeds, all have a way to send real-time updates to connected users when documents in their database change. Meteor and MongoDB offer an elegant architecture for managing the flow of data in a realtime app using the familiar MongoDB APIs. This talk will dig into the architecture of a realtime app built on MongoDB. Matt will cover tips and tricks for using MongoDB in a realtime app and demonstrate some of the design patterns they’ve developed.

A Year of Monitoring Production Deployments with MongoDB, Simon Maynard, Co-Founder, Bugsnag

Bugsnag is a fast growing error monitoring service for web and mobile applications that is processing millions of errors every day, and was designed from the ground up to utilize MongoDB and its strengths. In this talk, CTO Simon Maynard will discuss hints and tips from two years of running production MongoDB deployments. The talk will cover all aspects of developing for and maintaining a MongoDB deployment, including using the profiler to tune performance, as well as schema and index design considerations and what to monitor and how to monitor it.

Want to see these talks and more? Join the community at MongoDB San Francisco: use the discount code mongodb_blog for 25% off on tickets.

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