At .local London back in November 2022, some key MongoDB personnel joined as guests on the podcast. This is the 2nd episode and here we've not one, but two guests - Ger Hartnett and Peter Fitch.
With Ger, he talks about how customers scale and also goes briefly into the engineering behind building MongoDB before diving into patterns for tuning MongoDB performance and scalability, in which, due to time constraints, we pick out just 2 to concentrate on - Indexing & Hunting Bottlenecks!
With Peter, it's all about his talk on how to get more out of Aggregations. Peter delves deeper into the possibilities of MongoDB’s Aggregation Framework using real-world examples and illustrates powerful operators that cut down on custom code and reduce time to data insights, and thus maximize developer productivity.
Ep. 37 Open Source Project O-FISH with Sheeri Cabral
Ep. 36 Behind the Scenes of the MongoDB Podcast
Ep. 35 Developer to Developer Advocate with Lauren Schaefer
Ep. 34 Performance Testing with David Daly
MongoDB Update - December 21 - MongoDB.Live Call for Speakers
Ep. 33 MongoDB Swift Driver with Kaitlin Mahar
Ep. 32 Lawrence Berkeley Labs Materials Project with Patrick Huck
Ep. 31 Built With MongoDB: Formbird
Ep. 30 MongoDB Connectors and Translators Deep Dive
MongoDB Update for November 30th, 2020
Ep. 29 Code Editor Landscape and MongoDB for VS Code
MongoDB Update for November 23, 2020
Ep. 28 Sizing MongoDB with Jay Runkel
Ep. 27 Built with MongoDB: BestSelf with David Gorski
Ep. 26 Automated Database Management Part 2 - Autoscalability
MongoDB Update for November 9, 2020
Ep. 25 Exploring Multi-cloud with Andrew Davidson
MongoDB Update for November 2, 2020
Ep. 24 From Developer to Solutions Architect with Tosin Ajayi
MongoDB Update for October 26, 2020
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