Resources

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.

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Socialite, the Open Source Status Feed Part 3: Scaling the Data Feed

Scaling the delivery of posts and content to the follower networks of millions of users has many challenges. In this section we look at the various approaches to fanning out posts and look at a performance comparison between them. We will highlight some tricks for caching the recent timeline of active users to drive down read latency. We will also look at overall performance metrics from Socialite as we scale from a single replica set to a large sharded environment using MMS Automation.

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Socialite, the Open Source Status Feed Part 2: Managing the Social Graph

There are many possible approaches to storing and querying relationships between users in social networks. This section will dive into the details of storing a social user graph in MongoDB. It will cover the various schema designs for storing the follower networks of users and propose an optimal design for insert and query performance, as well as looking at performance differences between them.

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The Weather of the Century Part 2: High Performance

Managing terabytes of weather data is an exercise in scaling. In this talk, we'll discuss sharding and hardware considerations and will review the factors that drive the capacity requirements: volume of queries, access patterns, indexing, among others. Attendees will gain additional insight as we come up with the ideal cluster layout and hardware.

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How Verizon Uses Disruptive Developments for Organized Progress

With the advent of new database engines and constant data growth, the traditional way of database management has reached the next evolutionary/revolutionary phase. Every disruption in a continuum can lead to disorganized progress in any big organization. This session talks about how Verizon IT is assimilating this new disruptive model and leveraging its abilities to sustain organized progress and transform the way IT acts as a business enabler. We will discuss some of our early use cases -- such as VZ Web, our online employee portal -- and what it was like to bring in and embrace MongoDB at a Fortune 15 company. View the How Verizon Uses Disruptive Developments for Organized Progress Transcript.

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Replacing Traditional Technologies with MongoDB: A Single Platform for All Financial Data at AHL

AHL is a quantitative investment manager and an early adopter of systematic trading, committed to using technology to provide a productive environment for its “quants” to research, construct and deploy new trading models. In this talk AHL technologists Gary Collier and James Blackburn describe how MongoDB successfully replaced a range of traditional technologies with a single platform for every type and frequency of financial market data, from tick data through daily data, and for every level of data SLA, from ad-hoc exploratory research through to automated trading. In doing so they also describe how MongoDB helped AHL, transforming the time to on-board new sources of data and the time to market for new trading strategies, whilst improving reliability, scalability and increasing data access performance by orders of magnitude. View the Replacing Traditional Technologies with MongoDB: A Single Platform for All Financial Data at AHL Transcript.

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Digital Transformation in the UK Government

The UK Government has been making waves over the past few years for its ambitious programme of user-need led digital transformation. Goals as large as making government services "so good that people prefer to use them" and of making government "digital by default" require a co-ordinated strategy that both empowers team and transforms the structures around them. This talk will show how that strategy has come together, the impact that it's making, and how a new generation of cloud-native tools like MongoDB have enabled the work. View the Digital Transformation in the UK Government Transcript.

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Transforming Forbes into a Technology Powerhouse with MongoDB

Forbes is using MongoDB to turn itself into a software company. The publishing industry has been under substantial pressure for over a decade. Forbes had already been using MongoDB for mission-critical applications like content management, stats, user profiles and others. To help steer the company towards a profitable future, the company packaged its technology stack as an end-to-end publishing platform. Forbes is now selling this platform as a turnkey solution to other publishers, both as SaaS and an on-premise solution, driving new revenue. The initiative is mission-critical and strategic to Forbes' future. View the Transforming Forbes into a Technology Powerhouse with MongoDB Transcript.

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A Front-Row Seat to Ticketmaster’s Use of MongoDB

Ticketmaster is the world leader in selling tickets. After more than a decade of developing applications extensively on Oracle and MySQL, Ticketmaster made the move to MongoDB. The reasons for the move are generally in line with those of other companies – increased flexibility and performance, and decreased costs and time-to-market. In this session we’ll discuss how the conversion to MongoDB went at Ticketmaster and we’ll take a deeper dive into some of the successes and set-backs that we faced. We’ll give an overview of the MongoDB topology at Ticketmaster, discuss exactly what data we’re writing to MongoDB and comment on the MongoDB support model that we’re using. We’ll also touch on the transition from relational DBA to NoSQL DBA at Ticketmaster. View the A Front-Row Seat to Ticketmaster’s Use of MongoDB Transcript.

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Tales from the Field

Richard Kreuter, Director of Consulting Engineering at MongoDB, will take you on a ride through some memorable customer stories (anonymized, of course). Get to hear about some more unusual MongoDB use cases, the idiosyncratic choices behind them, and their path to success. You'll laugh, you'll cry, and you'll learn never to shard collections on booleans again.

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Internal Anatomy of an Update

In MongoDB 2.6 the update system was completely re-architected and rewritten. There were many reasons for this infrastructure refactoring (along with many others in 2.6 and soon 2.8), not the least of which was laying the road for better concurrency, locking, testing, readability and expanding features. In this session we will dig into the new design, implementation and important behaviors of the update system. With a better understanding of one of the most critical ways of writing data in MongoDB you will better understand the features, performance and behavior of MongoDB in general and specific to writing data. We will tangentially touch on replication, locking, concurrency, sharding, and performance as it relates to writes in this session but our main focus is that of exploring how an update works under the covers, and in detail.

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A Mobile-First, Cloud-First Stack at Pearson

As the global online education leader, Pearson is moving into new global growth markets. Our target is to establish global education efficacy. As part of this strategy, Pearson has adopted a mobile-first approach because in many of these markets, mobile is the most common mode of Internet access. To reach the mobile users globally, a cloud-first approach is a priority, given the need to deploy in a multitude of private and public data centers globally. To align with these initiatives, Pearson is investing and experimenting in a variety of modern technologies including MongoDB. In this session, we will discuss some MongoDB use cases at Pearson - from ebooks to identity and access management - and why we have selected MongoDB among other technologies to improve education efficacy worldwide. View the A Mobile-First, Cloud-First Stack at Pearson Transcript.

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