MongoDB.local Toronto 2019

Join this talk and test session with MongoDB Support where you'll go over the configuration and deployment of an Atlas environment. Setup a service that you can take back in a production-ready state and prepare to unleash your inner genius.

Are you new to schema design for MongoDB, or are looking for a more complete or agile process than what you are following currently? In this talk we will guide you through the phases of a flexible methodology that you can apply to projects ranging from small to large with very demanding requirements.

Many applications with high-sensitivity workloads require enhanced technical options to control and limit access to confidential and regulated data. In some cases, system requirements or compliance obligations dictate a separation of duties for staff operating the database and those who maintain the application layer. In cloud-hosted environments, certain data are sometimes deemed too sensitive to store on third-party infrastructure. This is a common pain for system architects in the healthcare, finance, and consumer tech sectors — the benefits of managed, easily expanded compute and storage have been considered unavailable because of data confidentiality and privacy concerns.


This session will take a deep dive into new security capabilities in MongoDB 4.2 that address these scenarios, by enabling native client-side field-level encryption, using customer-managed keys. We will review how confidential data can be securely stored and easily accessed by applications running on MongoDB. Common query design patterns will be presented, with example code demonstrating strong end-to-end encryption in Atlas or on-premise. Implications for developers and others designing systems in regulated environments will be discussed, followed by a Q&A with senior MongoDB security engineers.

How do you determine whether your MongoDB Atlas cluster is over provisioned, whether the new feature in your next application release will crush your cluster, or when to increase cluster size based upon planned usage growth?  MongoDB Atlas provides over a hundred metrics enabling visibility into the inner workings of MongoDB performance, but how do apply all this information to make capacity planning decisions? This presentation will enable you to effectively analyze your MongoDB performance to optimize your MongoDB Atlas spend and ensure smooth application operation into the future.

Aggregation pipeline has been able to power your analysis of data since version 2.2. In 4.2 we added more power and now you can use it for more powerful queries, updates, and outputting your data to existing collections. Come hear how you can do everything with the pipeline, including single-view, ETL, data roll-ups and materialized views.