MongoDB DC 2014

October 14th
United States, District Of Columbia, Washington

MongoDB DC is an annual one-day conference in DC dedicated to MongoDB.

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Join us at MongoDB DC to:

  • Discover the exciting new features in our most recent release
  • Learn directly from MongoDB engineers on MongoDB development and operations best practices, with sessions for beginners and experienced users
  • Hear from MongoDB customers and community members about first-hand experiences with the technology

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Follow the #MongoDBDays hashtag to stay up-to-date on all things MongoDB DC

Admission

Admission price includes lunch and refreshments

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Schedule

Developer Operations
9:15am - 9:45am

Keynote

10:00am - 10:50am

MongoDB Case Study

Diagnostics and Debugging

Asya Kamsky, Senior Solutions Architect, MongoDB

You've hit some bottleneck in MongoDB. Now what do you do? How do you figure out what part of your system is causing the problem? MongoDB offers a number of tools for diagnosing performance issues and monitoring areas of your application and infrastructure that may need additional resources or attention. These include mongostat, mongotop, various parts of MMS and mtools. In this talk we will walk through a number of performance scenarios and use these tools to diagnose problems and common (and not so common) pitfalls in your MongoDB cluster.

11:00am - 11:50am

MongoDB and Hadoop: Driving Business Insights

MongoDB and Hadoop can work together to solve big data problems facing today's enterprises. We will take an in-depth look at how the two technologies complement and enrich each other with complex analyses and greater intelligence. We will take a deep dive into the MongoDB Connector for Hadoop and how it can be applied to enable new business insights with MapReduce, Pig, and Hive, and demo a Spark application to drive product recommendations.

MongoDB Case Study

12:00pm - 1:00pm

Lunch

1:00pm - 1:50pm

MongoDB for Time Series Data: Setting the Stage for Sensor Management

The United States is beginning to make its transition to self-driving cars. To facilitate the transition, the United States Department of Transportation is setting up central service to monitor traffic conditions nationwide, deploying sensors throughout the interstate system that monitor traffic conditions including car speeds, pavement and weather conditions, as well as accidents, construction, and other sources of traffic tie ups. MongoDB has been selected as the database for this application. In this first session, we will walk through designing the application’s schema that will both support the high update and read volumes as well as the data aggregation and analytics queries.

MongoDB Case Study

2:00pm - 2:50pm

MongoDB Case Study

Run MongoDB with Confidence: Backing up and Monitoring with MMS

MongoDB Management Service (MMS) is the application for managing MongoDB, created by the engineers who develop MongoDB. MMS provides visibility into the performance of your cluster, alerting when key metrics are out of range and backup and recovery of your mission critical data. This session will provide you with an overview of MMS, including installation and setup and a walk through of metrics and alerts. Then we'll compare and contrast the various different backup strategies, with a deep dive on using MMS to back up your MongoDB data.

3:00pm - 3:50pm

Socialite, the Open Source Status Feed

Asya Kamsky, Senior Solutions Architect, MongoDB

Building a complete social networking platform presents many challenges at scale. Socialite is a reference architecture and open source Java implementation of a scalable social feed service built on DropWizard and MongoDB. We'll provide an architectural overview of the platform, explaining how you can store an infinite timeline of data while optimizing indexing and sharding configuration for access to the most recent window of data. We'll also dive into the details of storing a social user graph in MongoDB.

Deployment Best Practices

4:00pm - 4:50pm

Write Yourself a Storage Engine in 40 Minutes

In the next version of MongoDB the storage layer will be re-architected to improve scalability, maintainability and performance. Version 2.8 will include an API to allow plugging in alternate storage engines. This will include both how individual records are stored as well as the structure of indexes. Mathias Stearn, MongoDB Server Engineer, will walk through writing a simple implementation using our unit test mock that he wrote as an example. You'll walk away knowing the necessary components for plugging in your own storage engine and how they interact with each other and the rest of MongoDB.

To Be Announced

Location

Newseum

555 Pennsylvania Avenue
Washington, DC 20001
United States

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