MongoSV 2012
December 4thSanta Clara, CA, United States
MongoSV is an annual one-day conference in Silicon Valley, CA, dedicated to the open source, non-relational database MongoDB. This year’s conference includes over 50 sessions by 10gen engineers and MongoDB users from companies such as foursquare, Github, Apollo Group (University of Pheonix), AOL, and more. For the first time, we are offering a full track dedicated to operations for those interested in learning about the maintenance strategies and best practices for your MongoDB clusters.
For more information, check out the agenda below or our blog post Get Ready for MongoSV.
Slides & Video
Slides and video from MongoSV are available at 10gen.com/presentations.
Hashtag
Follow the #MongoSV hashtag to stay up-to-date on all things MongoSV.
Agenda
See below, or download the PDF agenda here.
MongoSV Office Hours
M101(MongoDB for Developers) and M102 (MongoDB for DBAs) Office Hours
At MongoSV, we're hosting office hours for students enrolled in 10gen's online MongoDB classes. M101 instructor Andrew Erlichson and M102 instructor Dwight Merriman will be available to answer your questions about the course and MongoDB in general. Office Hours will be from 11:00am - 12:30pm
Ask the Experts
At MongoSV, we're hosting office hours for anyone who wants to ask a 10gen engineer a question directly. Sign up is on site and is first come, first serve, and time is limited to 15 minutes per attendee.
MongoDB Sponsors - learn more here
Schedule
| Room B4 (10gen Dev Track) | Room B5 (10gen Ops Track) | Room M1 | Room M3 | Room H | Room G | |
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Schema DesignSridhar Nanjundeswaran, Software Engineer, 10gen One of the challenges that comes with moving to MongoDB is figuring how to best model your data. While most developers have internalized the rules of thumb for designing schemas for RDBMSs, these rules don't always apply to MongoDB. The simple fact that documents can represent rich, schema-free data structures means that we have a lot of viable alternatives to the standard, normalized, relational model. Not only that, MongoDB has several unique features, such as atomic updates and indexed array keys, that greatly influence the kinds of schemas that make sense. Understandably, this begets good questions: Are foreign keys permissible, or is it better to represent one-to-many relations withing a single document? Are join tables necessary, or is there another technique for building out many-to-many relationships? What level of denormalization is appropriate? How do my data modeling decisions affect the efficiency of updates and queries? In this session, we'll answer these questions and more, provide a number of data modeling rules of thumb, and discuss the tradeoffs of various data modeling strategies. |
ShardingBrandon Black, 10gen Sharding allows you to distribute load across multiple servers and keep your data balanced across those servers. This session will review MongoDB’s sharding support, including an architectural overview, design principles, and automation. |
How We Evaluated MongoDB as an Relational Database ReplacementBrig Lamoreaux, Senior Software Engineer, Apollo Group Explain the process, methodology, and results used at Apollo Group to evaluated MongoDB to replace Oracle for a core platform component. |
Lightning TalksNiall O'Higgins; Robert Vandehey, Senior Director, Rovi Corp; Michael Calabrese, Senior Developer, Lunar Logic - NOMP Stack has arrived: Node.JS, MongoDB and PaaS: Niall O'Higgins, CTO, Beyond Fog |
Build an App Track - Part 1Eliot Horowitz, CTO/Co-Founder, 10gen We will build an IRC server based on MongoDB. In this first session we will review how the server works and how to manage the necessary data. We will look in detail at how to build a Message Bus that is the backbone of our IRC server. |
Sailthru: Moving from Cloud to ColoIan White, CTO and Co-Founder, Sailthru For nearly two years, Sailthru ran our entire MongoDB deployment on Amazon EC2, serving terabytes of data and processing thousands. We had a number of successes and a number of challenges, and ultimately decided to move our primaries to a physical hardware. I'll reflect on the move and the pros and cons of both cloud and metal, from hard experience. |
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Indexing and Query OptimizationMax Schireson, President, 10gen MongoDB supports a wide range of indexing options to enable fast querying of your data. In this talk we’ll cover how indexing works, the various indexing options, and cover use cases where each might be useful. |
Deployment PreparednessAlvin Richards, 10gen The last bugs are finished, testing is complete, and business is ready. What do you do next? In this talk we will cover the topics to ensure that you are prepared for a successful launch of your MongoDB based product, including: • Key counters and metrics: Page Faulting? IO Bound? What's my working set? How do I know? • Load Testing and Capacity Planning: How much resource is my MongoDB going to use? When do I need to add replicas and shards? • Monitoring: What should I be watching and how do I know if things are running correctly? We will map the theory to the practice by illustrating with real world examples. |
High Performance, Scalable MongoDB in the SoftLayer Bare Metal CloudDuke S. Skarda, CTO, SoftLayer Duke Skarda joined SoftLayer in November, 2010. As the CTO, he holds responsibilities for implementing, designing and enhancing the proprietary SoftLayer Infrastructure Management System (IMS). Prior to joining SoftLayer, Mr. Skarda served as the Vice President of Information Technology and Software Development at The Planet. He served in this role from June, 2009 to October, 2010. Previously, Mr. Skarda spent 10 years with Level 3 Communications in a series of increasingly responsible positions. As Senior Vice President for its Content Markets Group, he led Engineering and IT development for its Content Distribution Network platform and IT support systems. As Senior Vice President for IT Architecture and Application Development, he led a broad range of programs, including business process management, order-entry and service assurance development. Mr. Skarda also served as Vice President of IT Architecture, where he led the development of a long-range systems roadmaps, systems merger and acquisition planning, and the development of the company's Enterprise Architecture team. Additionally, he has four years of experience with Sprint. Mr. Skarda earned a B.S. in Computer Engineering and Electrical Engineering from The University of Texas at El Paso. |
Lightning TalksMark Nielsen, Programming DBA Geek, Reputation.com; Charity Majors, Systems Engineer, Parse; Michael Salera, Software Architect, MercadoLibre - Database Administration Dashboard for MongoDB : Mark Nielsen, Programming DBA Geek, Reputiation.com |
Building an IRC App on MongoDB: Deployment, Replication and MonitoringEliot Horowitz, CTO/Co-Founder, 10gen; Shaun Verch, Software Engineer, 10gen Now that we've built our app, we will look at how to deploy it in production. We will design and deploy a replica set to support a highly available backend for the server. We'll also show you how to monitor your server, both from the shell and using the MongoDB Monitoring Service (MMS). Additionally, we will try to break our cluster and show how the service stays running throughout failures as well as how to recover from catastrophic failures. |
Automated Slow Query Analysis: Dex the Index RobotEric Sedor, Engineer, MongoLab A well-indexed query improves performance by several orders of magnitude. The trick is to identify an ideal set of indexes for a particular use case. Even for experts, hand-crawling MongoDB log for slow queries is a laborious process. Introducing Dex: an open-source automated tool for analyzing the slow query log or system.profile collection. Dex's primary author Eric Sedor demonstrates Dex's usage and elaborates on indexing topics from the basic to the advanced. Includes how to pick indexes in an elegant, practical way. You learn how Dex categorizes slow queries and recommends indexes to help keep your application running smoothly. Eric is an engineer at MongoLab, cloud-hoster of MongoDB, where Dex is used daily to optimize customer indexes. |
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ReplicationHannes Magnusson, PHP Evangelist, 10gen MongoDB supports replication for failover and redundancy. In this session we will introduce the basic concepts around replica sets, which provide automated failover and recovery of nodes. We'll show you how to set up, configure, and initiate a replica set, and methods for using replication to scale reads. We'll also discuss proper architecture for durability. |
Capacity PlanningScott Hernandez, Software Engineer, 10gen Deploying MongoDB can be a challenge if you don't understand how resources are used nor how to plan for the capacity of your systems. If you need to deploy, or grow, a MongoDB single instance, replica set, or tens of sharded clusters then you probably share the same challenges in trying to size that deployment. This talk will cover what resources MongoDB uses, and how to plan for their use in your deployment. Topics covered will include understanding how to model and plan capacity needs from the perspective of a new deployment, growing an existing one, and defining where the steps along scalability on your path to the top. The goal of this presentation will be to provide you with the tools needed to be successful in managing your MongoDB capacity planning tasks. |
The three aaS's of MongoDB in Windows AzureDavid Makogon, Microsoft; Doug Mahugh, Microsoft; Sridhar Nanjundeswaran, Software Engineer, 10gen MongoDB can be deployed to Windows Azure via PaaS or IaaS. And - surprise! - Now there's a SaaS option as well! This session will show all three approaches and compare each. |
Lightning TalksRick Copeland, SourceForge; Katia Aresti, Developer - Multi-Master Replication for MongoDB : Rick Copeland, Principal, Arborian |
Building an IRC App on MongoDB: Build a Scalable Message Logging Service and Then Shard It - Live!Eliot Horowitz, CTO/Co-Founder, 10gen; Shaun Verch, Software Engineer, 10gen We will extend the IRC server to log the full chat history. This requires a scalable backend to store an infinitely growing volume of messages. We'll look at several ways of designing the message storage and the limitations and tradeoffs of each. We will then deploy our updated IRC server and upgrade from a replica set to a sharded cluster without any downtime. |
MongoDB at Foursquare: From the Cloud to Bare MetalJon Hoffman, Server Engineer, foursquare Foursquare recently migrated their Mongo infrastructure from servers running on Amazon's EC2 to bare metal hardware in their own DC. I'll talk about why and how we moved and what we learned along the way. |
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AggregationBryan Reinero, Software Engineer, 10gen MongoDB's native tools for processing data can help you make sense of your data. This presentation will focusing on our native implementation of The new Aggregation Framework and Map Reduce. This session will include examples and practical strategies for aggregating data. |
Understanding MongoDB Storage for Performance and Data SafetyAntoine Girbal, Solution Architect, 10gen MongoDB supports write-ahead journaling of operations to facilitate fast crash recovery and durability in the storage engine. In this session, we'll give an overview of durability with MongoDB, demo journaling, and discuss journaling internals. |
Exploring Public Datasets and APIs with MongoDB and AnalyticaNosh Petigara, President, Analytica With its JSON-based data model, MongoDB is the ideal database for storing and analyzing data from public APIs. In this session, we'll use a few different examples to show how one can import data from public APIs directly into MongoDB using tools built into MongoDB or simple command line scripts. Next, using some examples from twitter, foursquare, and the NYTimes APIs, we will go through how you can explore, analyze, and visualize these datasets to extract useful (and often surprising!) conclusions. For this session we'll be using MongoDB's aggregation framework as well as Analytica, a new tool for analyzing and reporting on data in MongoDB. |
Lightning TalksVenky Vaddineni, CEO/CTO, Sphata Systems; Mike Saparov, Director of Engineering, MuleSoft - Connecting Healthcare in remote locations (Hospitals, Physicians and Patients) : Venky Vaddineni, CEO/CTO, Sphata Systems |
Building an IRC App on MongoDB: Backups, Monitoring and Ops for a Replicated and Sharded DeploymentEliot Horowitz, CTO/Co-Founder, 10gen; Shaun Verch, Software Engineer, 10gen We will explore the various options for backups, go through the rich information available through the monitoring service (MMS), and observe the automated chunk split and automated chunk migration across shards. We will also provoke several failures in the cluster and see how to recover. |
Managing Large Scale Data Streams with MongoDBTao Cheng, System Architect, AOL Managing hundreds of millions of structured data with real time updates is a daunting task by itself. Meshing the data with semantic linking such as trending, clustering, and relationships makes the task even more challenging if not impossible. In this presentation, the author shares why a Document-Oriented database (like Mongo) is a must in such real world projects, and the numerous benefits that come with it. Schema design techniques, trade-offs, query optimization, performance statistics, caveats, and comparisons with other technologies, such as MySQL and SOLR, are discussed. |
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Data Modeling Examples From the Real WorldJared Rosoff, 10gen In this session, we'll examine schema design insights and trade-offs using real world examples. We'll look at three example applications: building an email inbox, selecting a shard key for a large scale web application, and using MongoDB to store user profiles. From these examples you should leave the session with an idea of the advantages and disadvantages of various approaches to modeling your data in MongoDB. Attendees should be well versed in basic schema design and familiar with concepts in the morning's basic schema design talk. No beginner topics will be covered in this session. |
Advanced Sharding FeaturesBernie Hackett, Software Engineer, 10gen In this session we will take an in-depth look at shard keys and look at multi-data center and tag aware sharding. Attendees should be well versed in basic sharding and familiar with concepts in the morning's basic sharding talk. No beginner topics will be covered in this session |
MongoDB for AnalyticsJohn Nunemaker, Developer, Github The flexibility of MongoDB makes it perfect for storing analytics. I'll discuss a few patterns for storing data that we have learned while growing Gaug.es from zero to millions of page views a day. You'll leave with a desire to measure everything and the ability to do it. |
Simplify your MongoDB Java cloud apps with Spring DataThomas Risberg, VMWare Let Spring Data make developing MongoDB Java cloud applications a lot easier. We'll show you step-by-step how to create a simple application using Spring, Spring Data and MongoDB and deploy it to a Platform as a Service cloud like Cloud Foundry or AppFog. We will also cover in more detail, using code examples, what the Spring data project provides for MongoDB Java developers including object mapping, annotation based mapping metadata, query/criteria/update DSLs, automatic implementation of Repository interfaces and more. |
Real-Time Location Based Social Discovery Using MongoDBFredrik Björk, Director of Engineering, Banjo Banjo offers the ability for users to go anywhere in the world to discover content from social networks like Foursquare, Facebook, Instagram and Twitter. Using MongoDB's geospatial indexing and TTL collections we allow users to see friends, mutual friends and other relevant geo updates in real-time. |
Putting 3 Billion Ancestors in Your Pocket: FamilySearch's Journey from RDBMS to MongoDBJudson Flamm, Cloud Architect / Principal Engineer, LDS Church FamilySearch, owned by the Church of Jesus Christ of Latter-day Saints, is |