The MongoDB Podcast

In today's episode, a conversation from MongoDB World 2022 with David Sarabia, Founder and CEO of inRecovery. MongoDB Principal Developer Advocate and host, Mike Lynn sits down with David to discuss inRecovery as a platform for fighting addiction, and how the organization is working with hospitals and treatment centers. Along the way the two discuss their history with addiction and sobriety, how they found success by helping others, and how MongoDB and inRecovery work together.

Highlights of the conversation include:

• [04:06] The cycle of addiction and the road to building inRecovery
• [06:34] Mid-market enterprise hospitals and treatment centers
• 08:21] How inRecovery works with MongoDB
• [10:37] Four years of inRecovery and almost 9 years of sobriety
• [13:06] What David wants listeners to know about inRecovery
• [14:12] Advice for folks starting a business
• [15:07] What success means to David and Mike

MongoDB Principal Developer Advocate and host, Mike Lynn chats with Nick Gamble, Head of Evangelism at Unqork. Unqork is a no-code application platform that helps large enterprises build complex custom software faster, with higher quality, and lower costs than conventional approaches. This third interview that is part of a nine-part series from MongoDB World 2022, focuses on the benefits of using MongoDB and Unqork together, and what Nick wants you to know about the no-code development experience the platform offers.

Highlights include:

• [07:17] Nick Gamble, heading evangelism at Unqork, and the benefits of using the platform
• [08:53] No-code environments and the difficulty for someone who has written code
• [12:00] The sweet spot for Unqork use cases, and learning more about using the platform
• [15:14] Native vs compiled in the mobile space, and opening up capabilities
• [17:05] What Nick wants you to know about Unqork
• [20:03] Number of users and scale of Unqork
• [21:41] What Nick is excited about at MongoDB World

In this nine-part series from MongoDB World 2022, MongoDB Principal Developer Advocate and host, Mike Lynn chats with Founder of Qubitro, Beray Bentesen. Qubitro is a device data platform for modern applications, and it can connect device data from multiple IoT networks for data companies so they can focus on business without the worries of scaling infrastructure. In this conversation the two discuss various aspects of using MongoDB and Qubrito in unison, and how Qubrito has benefitted from building its technology on top of MongoDB.

Highlights include:

• [07:10] Meet Beray and his company Qubitro
• [09:32] How Beray became interested in IOT and how it resulted in building Qubitro
• [11:31] Handling and segmenting customer data
• [15:51] For people just starting with IOT and Qubitro
• [17:19] Advice for founders starting a company
• [19:55 ] Qubitro's business model
• [23:19] What Beray has found most exciting about MongoDB World

MongoDB Principal Developer Advocate and host, Mike Lynn chats with Founder and CTO of Ultrahuman, Vatsal Singhal at the MongoDB World event in NYC. Ultrahuman aims to deliver biofeedback that can inform users' health journeys by using a continuous glucose monitor. In today's conversation, the two will discuss how Ultrahuman uses MongoDB products within its database infrastructure, and the ways it brings value to their technology stack. Additionally, Vatsal and Mike will discuss general tips for nutrition and their fitness lifestyles.

Highlights of the conversation include:

• [09:28] Meet Vatsal Singhal, Founder and CTO of Ultrahuman
• [11:17] How keto fits into the glucose space, and optimizing your diet and health
• [12:42] Visibility into health data, biofeedback
• [13:29] Instant feedback on health lifestyles, and how MongoDB acts as the infrastructure for an alerting mechanism
• [16:12] Where the 20 versus 80 comes from
• [17:43] MongoDB as the database for Ultrahuman, and doing more than 2 million transactions a day, generating 2TB of data per day in real time
• [19:41] Using a continuous glucose monitor to collect body metrics, and MongoDB at the backend to store data securely
• [23:23] The number of users on Ultrahuman, and the ability to provide health visibility
• [27:18] Read the label, practical advice
• [28:32] Glucose first, then heart rate variability, body temperature, heart rate, and sleep

Today on the show we're talking about streaming data and streaming applications with Apache Kafka. We're joined by Kris Jenkins, Developer Advocate from Confluent, and Rob Walters, Product Manager at MongoDB, who will discuss how you can leverage this technology to your benefit and use it in your applications.

Kafka is traditionally used for building real time streaming data pipelines and real time streaming applications. It began its life in 2010 at LinkedIn and made its way to the public open-source space through a relationship with Apache, the Apache Foundation, in 2011. Since then, the use of Kafka has grown massively and it's estimated that approximately 30% of all Fortune 500 companies are already using Kafka in one way or another.

A great example for why you might want to use Kafka would be perhaps capturing all of the user activity that happens on your website. As users visit your website, they're interacting with links on the page and scrolling up and down. This is potentially large volumes of data. You may want to store this to understand how users are interacting with your website in real time. Kafka will aid in this process by ingesting and storing all of this activity data while serving up reads for applications on the other side.

Conversation highlights include:

• [03:38] What is Kafka?
• [05:29] At the heart of every database
• [08:03] The difference between Kafka and a database
• [09:03] What Kafka's architecture looks like
• [12:03] Kafka as a data backbone of system architecture
• [14:06] MongoDB and Kafka working together
• [15:40] What are "Topics" in Kafka?
• [17:53] Chain stream events
• [19:58] Kafka's history
• [22:07] MongoDB Connector, and Kafka via Confluent Cloud
• [25:53] Popular use cases using Kafka and MongoDB
• [27:48] Kafka and stream processing with games and event data
• [29:13] KSQL and processing against the stream of data
• [30:59] Developer.Confluence.io, a place to learn everything about Kafka

Chris Smith and Ivana Ivanovic of Retool drop by The MongoDB Podcast to discuss the State of Engineering Time report. How are developers spending their time, what tools are aiding them to be more productive and efficient, and why does it matter? All this and more in their conversation with host and MongoDB Principal Developer Advocate, Mike Lynn.

Highlights of the conversation include:

• [1:51] Ivana talks about the State of Engineering Time report
• [3:09] Chris Smith's involvement in the creation of the report
• [4:42] Understanding the consequences of administrative overlay to people's time
• [6:40] Surprise learnings from the report
• [9:20] Chris' experience as a developer advocate and where he spends his time in engineering
• [10:44] Does Chris agree with the results of the survey?
• [13:00] The report structure and its assertions
• [14:59] How long it took to produce the report
• [15:40] Assertions around remote work life and productivity compared to pre-COVID

MongoDB Developer Advocate and host of The MongoDB Podcast Michael Lynn discusses best practices for attending your first tech conference. He also talks to guests including Mark Porter, CTO of MongoDB about MongoDB World happening this coming June 7-9 in NYC.

Speakers in order of appearance:

• [1:14] Mark Porter, Keynote - Developers Build the Future Agenda Link
• [8:20] Ian Massingham, How Developer Relations Contributes to MongoDB World
• [16:28] Abhishek Agarwal, Build Your Back End with the MongoDB Application Data Platform. Agenda Link
• [19:28] David Bradford, Explore Your Git History with MongoDB Agenda Link
• [21:29] Jesse Hall, The MongoDB Atlas Data API in the Jamstack, the Serverless Dream Agenda Link
• [25:23] Kenny Gorman, Going Real-Time, Event Driven Apps with MongoDB Atlas Agenda Link
• [29:48] Steve Walsh, Securing Your Applications Data in the Public Cloud Agenda Link
• [34:09] Xiaochen Wu & Ger Hartnett, 12 Patterns for Extreme MongoDB Performance Scalability Agenda Link
• [40:16] Rob Walters, Discussing the Kafka Connector Agenda Link
• [45:27] Anna Kowalczuk, Be Nice, But Not Too Nice Agenda Link
• [50:55] Snehal Bhatia, Designing Sustainable Architectures with MongoDB Agenda Link

MongoDB World 2022 - Tickets are still available!

- Visit https://www.mongodb.com/world

- Use the code "PODCAST" for a 25% discount and some extra SWAG!

At MongoDB, we're constantly searching for ways to ensure that the database is as efficient as possible. This means exploring all sorts of new technologies to stay on the forefront of the cutting edge. Dr. Sasha Fedorova works as a consultant in MongoDB Labs, focusing on and exploring ways that the database, specifically the storage engine can leverage new storage and memory technologies. On today's show, Michael spends time chatting in depth about Dr. Fedorova's research into these areas and they cover discussions on RAM, DIM, and Intel's Optane Memory technology which offers vastly lower latencies than conventional SSDs.

Highlights of the conversation include:

• Dr. Sasha Fedorova introduces herself and her work
• How Sasha became interested in systems
• Non-volatile memory and reducing latency
• Adopting non-volatile memory, and changes that need to occur to take advantage of the technology
• The application of non-volatile memory, and new solutions it can offer
• Larger scale adoption and effects with MongoDB
• Solving throughput, and technical aspects of building cache on RAM
• What's next on the roadmap
• What Sasha does outside of working on systems

Kunal Lanjewar, a senior software engineer, joins host Michael Lynn to discuss how thatgamecompany is making use of MongoDB to support the video game "Sky."

Conversation highlights include:

• Kunal talks about his role as a senior software engineer at thatgamecompany
• Using MongoDB to store terabytes worth of customer gameplay data
• How Kunal became interested in game and software development
• The people, games, and creativity of thatgamecompany
• Using MongoDB and Atlas to automatically scale

Matt Beecher and Matt Almeida from banking startup Neocova speak with The MongoDB Podcast host, and Developer Advocate, Michael Lynn. Neocova helps banks utilize their customer data through its data and data analytics solutions, and these help banks to utilize data in ways that offer customers better outcomes.

Highlights from the conversation include:

• The difference between community and larger corporate banks
• Why Neocova's solutions are strictly data and data analytics-focused
• Operational efficiency and a platform built for scale
• Why Neocova chose MongoDB, and the architectures of its solutions
• ROI and metrics Neocova looks for
• Parsing and processing data from customer data sources
• Unleashing the power and value of data banks already have
• How Atlas, Charts, and MongoDB tools help Neocova's business

More about Neocova:

• https://neocova.com
• https://twitter.com/neocovacorp
• https://www.linkedin.com/company/neocova/
• https://neocova.com/solutions/fineuron/
• https://neocova.com/solutions/spotlight-ai/