News from MongoDB.local NYC

Steve Jurczak
July 12, 2023

After a triumphant return to live events with a three-day blowout in 2022, we decided to spread the love in 2023 with a series of smaller MongoDB.local events hosted in cities all over the world. On June 22, we held our first big event in New York's Javits Center. And, since it's New York City after all, it seemed like a good time to break some news.

Keynote session

There were developer jumpstarts and expert sessions beginning at 8 a.m. So, by the time MongoDB CEO Dev Ittycheria took to the Build Stage at 10 a.m. for the day's keynote address, things were already well underway.

Ittycheria's speech underscored a consistent theme: that the real world is not static, that every business is driven by software, and since businesses operate in real-time, software has to be real-time, too. Whether that means breaking down relational data silos or streaming data for event-driven architectures, the drive for smarter, faster applications shows no sign of slowing. Other keynote presenters included MongoDB Chief Product Officer Sahir Azam, who announced the private preview of MongoDB Atlas Stream Processing and the general availability (GA) of MongoDB Relational Migrator.

Breaking product news from MongoDB.local NYC

MongoDB's Relational Migrator is now available to help organizations transition away from legacy databases and streamline their transition to MongoDB. Relational Migrator tackles some of the most common challenges in migration projects: effective data modeling, migrating data, and modernizing app code.

Though Kotlin has historically been known for Android development, about half of Kotlin developers are using the language for server-side use cases. To that end, we are delighted to announce that the official MongoDB server-side Kotlin driver is now generally available.

Other updates from MongoDB.local NYC

MongoDB is thrilled to announce the public preview of our new Vector Search capability designed to meet the demands of data in all forms. AI applications rely on vector search to satisfy queries like “give me movies that feel sad” or “give me images that look like…” This new feature unlocks a whole new class of capabilities.

Responsive, event-driven applications bring digital experiences to life for customers and accelerate time-to-insight and action for businesses. At MongoDB .local NYC, we announced the private preview of Atlas Stream Processing. It enables the processing of high-velocity streams of complex data with a few unique advantages for the developer experience.

At .local NYC, we also rolled out a new feature that enables companies to install the Atlas Kubernetes Operator and export existing deployments through the MongoDB CLI for simpler infrastructure management and provisioning.

Last, but not least, was the announcement of MongoDB Atlas' new resource tagging functionality. You can now organize and manage Atlas resources with improved efficiency by applying tags to categorize database deployments based on your business needs.

For more updates, check out the product announcements page on our website.

Where MongoDB.local is headed next

The world tour continues! We're hitting the road to bring the best, most relevant content directly to you. Connect with MongoDB experts, meet fellow users building the next big thing, and be among the first to hear the latest announcements. Check out what city we are coming to next.

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Real-Time Energy Monitoring for Smart Buildings with MongoDB and HiveMQ

The Internet of Things (IoT) has ushered in a new era of energy efficiency, enabling the deployment of energy-efficient sensors for energy conservation and resource utilization. With over 1.5 billion connected IoT devices already installed in commercial smart buildings in 2022 and a projected surge to 3.25 billion devices by 2028, the volume of data generated is staggering. To put it in perspective, an average home in 2020 would generate approximately 4.7 terabytes of data annually. However, managing and harnessing this immense amount of real-time streaming data poses a significant challenge for developers. In smart buildings, where a multitude of IoT sensors continuously gather event streaming data, developers often grapple with integrating disparate technologies and investing significant time into data streaming integration. In this blog, we present a simple yet powerful solution to this challenge. We will demonstrate how you can effortlessly move IoT data using standard protocols such as MQTT to MongoDB Atlas using the HiveMQ Enterprise Extension for MongoDB . By optimizing smart buildings with real-time energy monitoring through the seamless integration of MongoDB and HiveMQ, we unlock the potential for efficient energy management and a sustainable future. Let’s get started! Dream team: HiveMQ + MongoDB In a world where energy conservation and efficient resource utilization are essential, let’s go through Figure 1 and see how simple it is to use MongoDB, HiveMQ’s MQTT broker, and the Enterprise Extension for MongoDB to enable real-time energy monitoring for smart building. Figure 1: Combining HiveMQ and MongoDB process data in real-time Step 1: Data transmission Using MQTT-based IoT devices deployed throughout the building, electricity consumption, temperature, and occupancy data is collected and sent to the HiveMQ MQTT broker. The MQTT broker acts as a central hub, efficiently and securely handling the communication between devices and backend systems. The HiveMQ MQTT broker also ensures reliable message delivery. It also provides MQTT-specific features like quality of service, session management, and topic-based message routing. Step 2: Data ingestion The HiveMQ MongoDB extension seamlessly integrates with MongoDB, allowing for persistent storage of the MQTT data in a highly scalable and flexible manner. The fully customizable templating system allows MQTT data to be stored according to the building’s specific operational requirements. MongoDB's document-based model accommodates the varying data formats and structures generated by different IoT devices. Step 3: Data visualization and analytics Once the MQTT data is securely stored in MongoDB, using its powerful in-app analytics, building managers can gain deep insights into energy consumption patterns, identify anomalies, and optimize energy usage. By leveraging MongoDB's rich query support and aggregation framework, building managers can make data-driven decisions promptly, reducing costs and enhancing sustainability. In cases where data needs to be exported to an ML/AI engine, MongoDB Spark and Kafka connectors can be used. Users of MongoDB Atlas can leverage Atlas Device Sync and Realm to send real-time alerts and messages to mobile devices. Data can be visualized using MongoDB Atlas Charts or through a third-party Business Intelligence (BI) tool connected via MongoDB BI connector or Atlas SQL interface. Conclusion By seamlessly integrating HiveMQ's MQTT broker with MongoDB, developers can efficiently handle data transmission, ingestion, and storage. This integration enables building managers to gain valuable insights into energy consumption patterns, make data-driven decisions, and optimize energy usage. To learn more about MongoDB’s role in IoT, please visit our IoT webpage . You can also try the HiveMQ platform now with the Enterprise Extension for MongoDB for free . Thank you Ainhoa Múgica for her contributions to this blog.

July 11, 2023

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Driven by Values: One Account Executive’s Journey into Personal and Professional Growth

May is Asian American and Pacific Islander Heritage Month. Hear from Adam, Enterprise Account Executive and member of the MongoDB AAPI employee resource group, as he shares about his role at MongoDB, the importance of living company values, and how MongoDB has contributed to his personal and professional growth. My journey into tech I grew up as a first-generation Asian American in a town outside of San Diego. While San Diego is not traditionally known for being diverse, I’m fortunate that my town always felt relatively progressive and welcoming. The biggest challenges were the ones that existed in our own home and the career and life expectations that had been set for me as a first-generation child. My parents pushed me towards pursuing a career in medicine at a young age and invested in my education as a pre-med student. When they learned that I was shifting my career toward tech sales as an adult, it was difficult for them to digest and understand. Looking back, while non-conventional for backgrounds of tech sellers, pre-med did, in fact, set me up for success when learning an extremely technical product with a complex sales cycle. I started exploring an opportunity at MongoDB after hearing about the unique sales program and significant investment in employee growth. The hiring manager dove into my background and discussed what personally drove me, showing me how much MongoDB wants to ensure a mutually beneficial fit. I joined MongoDB, working in new logo acquisition, moved into enterprise, and am now part of a global strategic team working with one of our largest customers. I’m selling the entire suite of MongoDB’s offerings: Enterprise Advanced , Atlas (our fully managed database), and, most recently, Atlas as a Vector database powering and scaling GenAI initiatives. As I look towards the rest of this year, I have never felt more empowered to bring our expertise and technology to customers as true partners, helping them accelerate their C-level initiatives and drive meaningful impact within their organizations and to their customers. MongoDB Atlas is perfectly positioned and differentiated to support gen AI projects at scale, all within a unified developer data platform. Find a company that lives its values One of MongoDB's company values is to Be Intellectually Honest . We are encouraged to share our perspectives, even if some folks disagree, while also being open-minded to alternative perspectives so that we can all grow towards our goals together. Everyone is open to collaboration when asked, all the way up to our executive leadership. I regularly meet with both my peers and skip levels, and have never felt blocked when it made sense to connect with our executives. I remember a time early on when I was feeling overwhelmed on how to best approach breaking into an account. After working with my leader, they acknowledged my efforts in certain areas, but also quickly identified opportunities that I had completely overlooked based on my own bias within the account. With additional suggestions on how to pursue those opportunities, I was able to quickly feel comfortable with a refreshed approach and landed the first deal. Another core value at MongoDB is to Embrace the Power of Differences . One of the things I’ve appreciated greatly at MongoDB is leadership’s intentionality in creating a diverse environment and emphasizing the importance of pursuing that as an organization. Making sure that everyone feels valued, heard, and treated with respect is an absolute top priority for leaders. Finally, Build Together is a value I live every single day. On a daily basis I work with our wider sales ecosystem who help scale the sales team’s efforts and support our success. Sales Development Representatives help me scale my reach to engage individuals and teams I may have overlooked. Solutions Architects are key in pulling technical expertise from our 50k+ customers and highlighting why they chose MongoDB to accelerate innovation. Customer Success Managers are instrumental in connecting external stakeholders with our internal SMEs and thought leaders to help execute ideas. Deal Strategy and Legal support through complex close cycles, ensuring the fastest, best outcome for all parties involved. Each of these teams are experts in their own domain and are critical parts of both the pre-sales and post-sales process to ensure our teams and customers are as successful as possible. A key component of this is communication, prep, and respect for each other's roles to help drive efficiency throughout the process. A focus on personal and professional growth Throughout my time at MongoDB, I’ve been challenged to learn a complex technology while working with some of the smartest people in the industry. I am regularly humbled by the team we have and the engineers we work with. Everything I’ve learned from them has helped me sharpen my skills and advance my career. As I reflect on Asian American and Pacific Islander Heritage Month, I encourage fellow salespeople from the AAPI community to ask for help early and often, whether it’s questions about technology, growth opportunities, or customer engagement. While it may feel intimidating at first, especially earlier on in your career, if you’re at the right organization, you should feel empowered to be vulnerable and supported in your own growth. I’d also recommend finding a network or community with a variety of skill sets and experience to learn from. Doing so has allowed me to gain different perspectives and continue growing personally and professionally. Our sales ecosystem is growing globally. Join our talent community to stay informed about MongoDB culture content and career opportunities.

May 24, 2024