Resources

Performance Tuning on the Fly at CMP.LY

Technical topics covered: Replication, Indexing, Monitoring, Backups | Languages used: node.js, Ruby Using MongoDB, you’re able to develop and deploy applications quickly. But how do you maintain high performance when you have a small team and are developing at a breakneck pace? At CMP.LY, we tune our applications on the fly using key performance metrics from MongoDB Management Service. Identifying bottlenecks before they become production issues let’s us keep our focus on our application. You’ll walk away from this talk with a clear understanding of how to leverage MMS and key performance metrics to keep your application, and team, humming as your MongoDB usage grows.

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Scalable Text File Service with MongoDB (Intuit)

Docstoc.com (founded in 2007, acquired by Intuit in 2013) is one of the largest online repositories of documents. A critical component of our product is our text file service, which delivers text documents to both humans and crawlers. In early 2013 this service, which was file system based, became a prohibitive bottleneck. To meet our scaling needs, we replaced it with one backed by a sharded MongoDB cluster. This talk will cover: Our traffic load (5:1 bots:humans ratio) How we implemented the system in our SOA environment How MongoDB fit our use case out of the box How we load tested peak time traffic before hardware purchase How we loaded the system and how we rolled it out live Performance metrics and gains in stability and reliability

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Visualizing Mobile Broadband with MongoDB

The FCC Speed Test mobile app is a crowdsource project on mobile network performance, collecting millions of samples per month. In order to make the collected information valuable to consumers, a new approach was needed to present this rich resource in timely and intuitive manner. The Visualizing Mobile Broadband project is a web application that presents mobile network information using maps and interactive metrics. Our small team of developers turned to MongoDB for a solution that is flexible and scalable as volume increases and needs evolve. We present our project from conceptual framework to working prototype and highlight organizational obstacles, geospatial and technical issues encountered along the way.

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High Performance MongoDB on Storage-Optimized AWS EC2

MongoDB and AWS are like peanut butter and chocolate and rocket scooters: better together. Saddle up together with Kyle Lichtenberg, Solutions Architect from AWS for a dive on best practices, customer successes, and advances in the state of the art. Oh, and 350,000 IOPS /per instance/ available on-demand, for just shy of $7. Can we break a million mongo ops for $21 bucks?! Join us to find out.

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App Sharding to Autosharding at Sailthru

Technical topics covered: Sharding, Schema Design, Querying | Size of Deployment: 30 replica sets with 40TB of data and 20k ops/s Sailthru has been using MongoDB in production since 2009, before autosharding existed. For years, we sharded much of our infrastructure using in-app sharding logic. We recently moved to autosharding of our 600 million user profiles. Ian White, Sailthru CTO and Co-Founder, walks through how that decision took place, the strengths and weaknesses of the different sharding approaches, and the details of the migration plan to autosharding.

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Building LinkedIn's Learning Platform with MongoDB

LearnIn is LinkedIn’s internal learning platform packed with a huge variety of resources that will help our employees learn, develop, and grow professionally. In this talk, we will discuss how a small team of web developers built this platform’s API using MongoDB and a full JavaScript stack including node.js. In particular, we will look at schema design and document validation using Mongoose ODM for Node.js, as well as quick document search utilizing MongoDB full-text search and our move to ElasticSearch using the MongoDB oplog.

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Moving Hudl from MS SQL to MongoDB: A Two Year Journey

Hudl serves almost 1 billion video views per month to athletes and coaches. We ran a large single SQL mirroring setup but quickly hit the limits of our AWS instances at the time. Over the past two years we have moved the majority of our data into a sharded MongoDB cluster and have seen developer productivity increase, reduced latency for our end users, and better server fault resiliency. This talk will discuss the challenges, shortcuts, and results of this transition on top of AWS.

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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.

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Using NoSQL and Enterprise Shared Services (ESS) to Achieve a More Efficient and Agile IT Environment at the VA

The VA is implementing an enterprise NoSQL data store to provide efficiency, increased security and enhanced information agility. It wants to reduce Database Management System (DBMS) proliferation, as the use of many DBMS products can cause confusion and hinder development activities. In this session, we discuss 1) lessons learned from 20 years of SQL to avoid mistakes of the past, 2) how to Unlock enterprise services via ESS eCRUD services, and 3) how to achieve increased security by consolidating data under standardized enterprise controls.

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Webinar: Key Data Management Requirements for the IoT

Building upon the first webinar in our Internet of Things Webinar Series, this presentation takes a detailed look at each of the 5 data management key capabilities for the IoT and discuss them in detail, from an architectural and development point of view.

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Replication Internals: The Life of a Write

Come to this session to learn about the internal workings of MongoDB replication and replica sets. We will track the lifetime of a replicated write: from the moment it enters the primary server, as it travels out to secondary servers, and finally as it is reflected back to the primary (in case the write has an associated write concern). In particular, we will discuss the techniques MongoDB uses to ensure correct write ordering on secondaries while still keeping up with the primary and servicing client reads as well. This is an advanced session intended for those who possess a basic understanding of MongoDB and general programming concepts.

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MongoDB World 2014 Keynote from Angel Luis Diaz

Closing keynote from IBM.

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