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MongoDB Management Service makes operations effortless, reducing complicated tasks to a single click. You can now provision machines, configure replica sets and sharded clusters, and upgrade your MongoDB deployment all through the MMS interface. This session will introduce you to the engineering team at MongoDB building the automation functionality in MMS. We'll walk through demos of all the new MMS features, including provisioning, expanding and contracting a cluster, resizing the oplog, and managing users.

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MMS is the application for managing MongoDB, created by the engineers who develop MongoDB. Using a simple yet sophisticated user interface, MMS makes it easy and reliable to run MongoDB at scale, providing the key capabilities you need to ensure a great experience for your customers. MMS is delivered as a fully-managed, cloud service, or an on-premise software for MongoDB Subscribers. See more at: http://www.mongodb.com/mongodb-management-service#sthash.1D1Q1ts0.dpuf This session introduces MMS, helps you to understand at a high level what it does, add users and permissions, and shows how to get started with downloading and installing the agents. Presented by, Sam Weaver: Sam Weaver is a Senior Solution Architect at MongoDB based in London. Prior to MongoDB, he worked at Red Hat doing technical pre-sales on the product portfolio including Linux, Virtualisation and Middleware. Originally from Cheltenham, England he received his Bachelors from Cardiff University and currently lives in Camberley, Surrey.

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Automate MongoDB with MongoDB Management Service

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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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In this session we will cover how MMS can be used to backup and restore your data from MongoDB. We will cover backing up both replica sets and sharded environments, and discuss how to do point-in-time restores and restoring from snapshots. Presented by, Sam Weaver: Sam Weaver is a Senior Solution Architect at MongoDB based in London. Prior to MongoDB, he worked at Red Hat doing technical pre-sales on the product portfolio including Linux, Virtualisation and Middleware. Originally from Cheltenham, England he received his Bachelors from Cardiff University and currently lives in Camberley, Surrey. Visit www.mongodb.com/presentations to view other presentations in this series and many other topics.

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Morningstar’s Risk Model project is created by stitching together statistical and machine learning models to produce risk and performance metrics for millions of financial securities. Previously, we were running a single version of this application, but needed to expand it to allow for customizations based on client demand. With the goal of running hundreds of custom Risk Model runs at once at an output size of around 1TB of data each, we had a challenging technical problem on our hands! In this presentation, we’ll talk about the challenges we faced replatforming this application to Spark, how we solved them, and the benefits we saw. Some things we’ll touch on include how we created customized models, the architecture of our machine learning application, how we maintain an audit trail of data transformations (for rigorous third party audits), and how we validate the input data our model takes in and output data our model produces. We want the attendees to walk away with some key ideas of what worked for us when productizing a large scale machine learning platform.

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Presented by Achille Brighton, Principal Consulting Engineer, MongoDB Experience level: Deep dive MongoDB 3.2 brings major enhancements. New pluggable storage engines optimized for in-memory computing and the most security-sensitive applications. Simplified data governance with document validation, coupled with GUI-based schema discovery and visualization. Improved operational efficiency with enhanced management platforms, continuous uptime across distributed, multi-region deployments, and zero-downtime upgrades. To take advantage of these features, your team needs an upgrade plan. In this session, we’ll walk you through how to build an upgrade plan. We’ll show you how to validate your existing deployment, build a test environment with a representative workload, and detail how to carry out the upgrade. You’ll walk away confident that you're prepared to upgrade.

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