The MongoDB Podcast

In this special episode recorded live from the MongoDB .local London Conference, Shane McAllister sits down with Max Marcon, the Lead Product Manager for Developer Tools at MongoDB. They discuss the new local experience for MongoDB Atlas and the Atlas CLI, the future of Atlas Search and Vector Search, and much more.Timestamps:[00:00:00] Introduction[00:00:19] Welcoming Max Marcon[00:00:40] The Importance of a Local Experience for MongoDB Atlas[00:02:02] How Developers Managed Before This Announcement[00:03:26] What's Included in the New Local Experience[00:05:40] The Effort Behind the New Feature[00:07:12] Main Use Cases for Atlas Search and Vector Search[00:09:37] The Future of AI and Vector Search in MongoDB[00:11:33] Why Developers Prefer Local Environments[00:14:30] How New Developers Will Experience MongoDB Differently[00:16:39] Impact on CI/CD Pipelines[00:18:23] Cost Benefits of Local Development[00:20:50] Future Plans for the Tool[00:22:59] How to Give Feedback[00:25:07] Closing RemarksKey Takeaways:Local Experience for MongoDB Atlas: The new feature aims to make developers more efficient by allowing them to spin up local environments quickly.Atlas Search and Vector Search: These features are now integral parts of the MongoDB Atlas platform, enabling more robust search capabilities.Community Feedback: MongoDB is actively seeking feedback from the community to improve and add new features.CI/CD Pipelines: The new local experience can significantly speed up CI/CD pipelines by allowing quick and isolated testing environments.Future Plans: MongoDB plans to continue expanding the local experience based on user feedback and emerging technologies.Resources:Learn More about the MongoDB Atlas CLI

Tune in to the MongoDB Podcast this week for a live chat with Doug Tarr, VP of Engineering. Doug leads the Search team at MongoDB and is looking to expand since the announcement of the newest addition to our platform: Vector Search.Listen for:[01:09 - 03:17] Why is search separate from database?[03:51 - 06:53] The functionality of Atlas Search and how it's differentiated from the database[12:30 - 15:15] How Doug ended up at MongoDB[16:48 - 19:51] What Vector Search is[23:30 - 27:45] What developers can do with Vector Search[29:32 - 32:40] The architecture Vector Seach is in[40:10 - 41:13] Important skill/quality to have for a successful careerhttps://mdb.link/engineering-careershttps://mdb.link/atlas-vector-search

At .local Live NYC, we chat with Mark Porter, former CTO of MongoDB, who recalls his own developer’s journey and highlights the importance of varied perspectives in a work environment. In this episode, Mark talks about new AI features, platform enhancements, and ways to improve the developer experience. Listen for:[00:40 - 01:15] The buzz within the startup space[01:28 - 02:14] How Mark found himself at MongoDB[03:32 - 04:31] Success for a developer[05:26 - 06:47] Advice for those starting out as a developer

This week on the MongoDB Podcast, we interview Nikhil Smotra at .local Live NYC. Nikhil explains how Dataworkz combines AI, data integration, and transformation to simplify customer profiling. He also discusses how Dataworkz uses MongoDB's flexible data model for language models for seamless data handling.Listen for:[01:04 - 01:32] What Dataworks is about[01:44 - 02:42] What Dataworkz is doing differently[03:27 - 05:08] Simplifying a Customer 360[05:33 - 07:16] How MongoDB and Dataworkz work together[10:37 - 12:08] What Nikhil would build as a developer[12:32 - 14:47] Reducing the friction between data consumers and data producers[15:39 - 18:39] What you need to know about Dataworkz

Join MongoDB TV Podcast at .local Live NYC with Will Atwood & Allen Cordrey , rom the Eliassen Group, as they delve into the dynamic world of technology and community. Uncover their inspiring stories, from transitioning careers to crafting apps This episode is a testament to the transformative power of passion, connection, and the tech community. Hosted by MongoDB's DevRel Senior Director Dave Nielsen.Listen for:[02:17 - 05:54] How Will and Allen met[08:42 - 11:01] The impact of community[14:15 - 17:12] How Will and Allen first got started with MongoDB

As we continue our discussions on security, Michael meets with Sean Korten, Head of Solution Engineering at Akeyless Security, a cloud-based solution provider specializing in Secrets Management. Secrets refer to confidential information such as passwords and encryption and API keys, which are all essential for application developers and users to preform certain actions securely. Akeyless stands out as a Software as a Service (SaaS) provider to handle disaster recovery and offers a more streamlined solution for users.Listen for:[00:06 - 01:00] Introduction to the episode[01:48 - 02:58] Secrets vs. PII[04:39 - 06:51] Sean explains the Akeyless approach[07:02 - 07:55] How does Akeyless integrate with MongoDB?[11:57 - 15:02] How do you increase the level of trust with your customers?[15:09 - 16:55] At what point does one need to think about a solution like Akeyless?[19:27 - 21:09] Sean's background[23:53 - 28:24] The comparison between field level or queryable encryptionResources:Akeyless: https://www.akeyless.io/

In this episode, we’re joined by David Neal, or ReverentGeek as he’s probably more familiar to many. David originally joined us on a MongoDBTV livestream back in late June, and although that was all video (check out MongoDB.tv to find out more), his content was so compelling, and his story so insightful that we thought it would be great to bring this to a wider audience, so, we adapted our discussion for this podcast and are delighted to share it with you today. In our conversation, David talks about what started him on this journey, and shares his insights and tips on becoming a Superhuman Communicator!Listen for:[05:00 - 07:27] David's beginning journey to becoming a superhuman communicator[09:17 - 14:06] How visuals and illustrations not only impact an audience, but the speaker, too[19:38 - 25:11] You don't have to make art, you need to CREATE and your audience will engage[30:33 - 37:07] David shares tips on how you can get started[37:37 - 42:16] How David incorporates humor into his presentationsFollow David on Social Media:Twitter @reverentgeekMastodon @reverentgeek@reverentgeek.comBlueSky @reverentgeek.com@reverentgeek on Threads (Meta)https://reverentgeek.com/ Resources:Dan Roam on Youtube - https://www.youtube.com/@danroamclips/videos Brad Cobo Youtube - https://www.youtube.com/@thebradcolbow21Draw - https://www.21-draw.com/Learn about MongoDB .Local events https://www.mongodb.com/events/mongodb-local

In this episode of the MongoDB Podcast, we sit down with Sean Falconer, Head of Developer Relations and Marketing at Skyflow, a data privacy vault company. Sean takes us on a journey through the world of data privacy and security, explaining the importance of de-identifying data and how Skyflow's technology ensures sensitive information stays protected. He shares insights into the challenges of building a data privacy vault and how Skyflow has addressed them. Join us to learn about their innovative approach to protecting personal and corporate data, as well as their latest efforts to support and secure generative AI workflows.Listen for:[03:09 - 06:18] Sean's path in academia[06:42 - 12:48] What Skyflow is, and Sean's role there[12:48 - 15:04] What is PII?[15:29 - 17:49] How Skyflow approaches security[18:49 - 22:46] How Skyflow was built[26:18 - 28:43] What is in Skyflow's future[31:37 - 33:38] How Sean approaches marketing to developers[34:06 - 36:56] What's in the tool belt at developer relations at Skyflow

In this episode, we’re joined once again by Snehal Bhatia - Snehal is a Solutions architect here at MongoDB, and Snehal previously joined us in an episode to talk about designing environmentally sustainable data architectures. In this episode, Snehal turns her attention to an areas that she’s very familiar with, and an area that she did her own thesis in, but an area that has only now come to the mainstream with the continued widespread adoption of Machine Learning and Artificial intelligence. In this episode, we deep dive into the area of Impact of Dataset imbalance on Machine Learning and AI. Listen for:[08:24 - 10:56] Consequences of dataset imbalance on machine learning algorithms[14:12 - 17:30] How the impact of data imbalance could have a real effect[20:46 - 24:00] How the potential bias impacts society and individuals[25:47 - 30:05] How the dataset imbalance is being addressed[33:56 - 36:57] Regulation, education, and awareness of technology advances[39:52 - 43:08] Is there an AI solution for every problem?

In this episode, we meet Niall Maher and talk about InnerSource, which is a software development strategy that applies open source practices to proprietary code. InnerSource can help establish an open source culture within an organization while retaining software for internal use. In addition to discussing innersource, we’ll also hear about building communities. Niall is the founder of Codu, a supportive community space for coders and developers that’s going from strength to strength Listen for:[02:55 - 04:26] Who Marsh McLennan is and what they do[04:32 - 07:19] What is InnerSource?[11:45 - 14:21] Niall's journey to Marsh McLennan[14:34 - 19:03] The impact of Codu's community, and how to get involved[19:45 - 23:47] Managing and growing the community[24:14 - 26:45] What's involved in the community and the collaboration that comes out of it[28:36 - 34:15] Can and will AI actually do everything for us?[40:44 - 43:20] Where Codu is headed in the future[46:11 - 47:54] Advice for building a community