MongoDB at AWS re:Invent: Workshops, Talks, Parties, and More

William To
November 1, 2022

Join us at AWS re:Invent 2022 in Las Vegas. At our re:Invent booth and in our sessions, we'll show how MongoDB Atlas on AWS lets you build applications that are highly available, performant at global scale, and compliant with the most demanding security and privacy standards. MongoDB Atlas on AWS also provides the convenience of consolidated billing and simplified procurement through your AWS account. Learn how developers can use AWS and MongoDB features together to build the next big thing in AI, application modernization, serverless analytics, or any number of use cases.

As the flagship conference of one of the leading cloud providers (and a close MongoDB Partner), AWS re:Invent features more than 1,500 workshops, presentations, and demos, and draws more than 50,000 attendees. AWS re:Invent runs from November 28 through December 2 at six properties on the Las Vegas strip: The Venetian, the Wynn and the Encore at the Wynn, Caesars Palace, MGM Grand, and Mandalay Bay. AWS re:Invent is a great place to experience next-generation products firsthand, connect with other like-minded peers, thought leaders, and more.

Read on to learn what MongoDB has planned for this event, and to plan ahead for your own AWS re:Invent journey.

A picture of the MongoDB booth at AWS re:Invent 2021, featuring curved wooden booths and the green MongoDB leaf motif.
The MongoDB booth at AWS re:Invent 2021. This year, find us at Booth #1611, located in the Expo Hall at The Venetian.

Meet, learn, and engage at MongoDB locations

For questions about specific use cases and to meet with MongoDB experts, visit Booth #1611, located in the Expo Hall at The Venetian, or check out our after hours events, hosted at The Emerald Lounge at Sugarcane Raw Bar Grill at The Venetian.

This year, the MongoDB booth includes interactive demo kiosks showcasing MongoDB Atlas, our fully managed developer data platform, and to check out guided workshops on security, mobile app development, and more.

The MongoDB booth will also include a series of lightning talk sessions on a variety of subjects, from data modeling to Queryable Encryption. These lightning talks and tutorials cover specific topics, such as using MongoDB alongside AWS products such as Wavelength, and may also include an interactive component. To attend, head to our in-booth theater, where seats are available on a first-come, first-served basis.

In the evenings, check out our events hosted at Sugarcane. On Tuesday night from 6-8 p.m. PST, MongoDB, Vercel, and PluralSight will host the Gamer’s Paradise Pub Crawl, where you can mingle and play arcade, board, and video games. On Wednesday night at 9 p.m. PST, stop by for our Desert Disco, co-hosted with our partner, Confluent, and featuring DJ Malibu Cathy, top shelf drinks, and food. RSVP now to reserve your spot.

A picture of a party at Sugarcane Raw Bar Grill, with a DJ wearing a panda head and a crowd of people partying with drinks in hand.
The 2021 party at the Sugarcane Raw Bar Grill. Join us this year for our Gamer’s Paradise Pub Crawl and our Desert Disco.

Listen to MongoDB speakers

MongoDB experts and executives will be featured at AWS re:Invent, hosting breakout sessions on the growing partnership between MongoDB and AWS; the evolving data landscape; how these dynamics affect developers, applications, and users; and the rise of edge computing.

First, CISO Lena Smart will give a talk on “The Rise of the Developer Data Platform,” highlighting the concept of a product ecosystem built around a common API, enabling developers to easily build more reliable, scalable applications, and to drive innovation. Smart will also touch on how this new digital paradigm has affected security, and how the developer data platform serves as a unifying philosophy for all MongoDB features and releases. Afterwards, Smart will join MongoDB Principal Developer Advocate Karen Huaulme, Senior Vice President of Products Andrew Davidson, and Executive Keynote Advisor Krista Braun for a fireside chat and live Q&A on the developer data platform.

In her talk on “10 Things You Didn’t Know Your Data Could Do for You,” Principal Developer Advocate Karen Huaulme will discuss how developers can avoid being overwhelmed by the abundance of data today. She’ll also dig into how to put data to work, whether it’s deriving analytical insights, powering diverse workloads, or developing practical functionality. Huaulme will draw on her extensive background to share common mistakes and teachable moments, so you can avoid the same pitfalls.

Developer Relations Director Rick Houlihan will cover going from RDBMS to NoSQL, introducing NoSQL in a new light—not just as a technology, but as a philosophy. Transitioning from relational to non-relational doesn’t only involve migrations, but also requires a shift in mindset in areas such as data modeling and everyday operations. As the former head of Amazon’s NoSQL Blackbelt team, Houlihan speaks from experience, as he led Amazon’s migration from relational to NoSQL, and played a pivotal role in modeling thousands of production workloads and retraining more than 25,000 developers on this new paradigm.

Alongside AWS team members, Realm Specialist Solutions Architect Mark Brown will deliver a talk on architecting and delivering applications at the edge with AWS hybrid cloud and edge computing services. Brown and his AWS collaborators will explain the unexpected challenges of edge computing and demonstrate possible solutions. Be sure to bring your laptop!

Learn how MongoDB can empower you to build apps on AWS faster and easier

To try MongoDB and AWS products for yourself, deploy and manage Atlas from your AWS environment through AWS Quick Start, as well as through AWS CloudFormation.

From there, you can connect a wide range of AWS services with MongoDB tools for any use case. For instance, you can build serverless, event-driven applications with MongoDB Application Services (formerly known as Realm) and Amazon Eventbridge, migrate legacy applications with MongoDB Atlas on AWS, ingest and analyze streaming data with Amazon MSK and MongoDB, and more. For a more detailed list of AWS and MongoDB integrations, check out our Managed MongoDB on AWS resource.

If you’re eager to try out Atlas with AWS today, check out the AWS marketplace. Atlas is available in AWS regions across the world.

To learn more about what MongoDB has planned for AWS re:Invent, check out our event web page.

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How to Land Your Next Customer Success Role at MongoDB

Katie Palmer As director of customer success at MongoDB, I am thrilled to participate in growing our organization. Personally, I had two primary reasons for joining MongoDB. The first was the incredible market opportunity. The second reason was the opportunity to work alongside world-class go-to-market and customer success leaders. When I spoke with various MongoDB leaders during the interview process, I was impressed by their servant leadership approach, their genuine passion for what they’d been building at MongoDB, and their vision for customer success at MongoDB. The biggest highlight of working at MongoDB so far has been the deeply ingrained commitment to talent development in the culture here. At every level, there’s a feeling that no success is more important than helping employees build meaningful skills to achieve their full potential. One leader shared with me that the way they’ll measure their success at MongoDB is not by the number of quarters in which they hit their goals, or the revenue growth their work helped to achieve, but rather, how they were able to impact the pursuit of their employees’ goals and career aspirations. That approach has pushed me to new places both as a leader and an employee. Read on to learn more about our recruiting process for customer success and what we look for in candidates. Our approach to resumes The job-related people skills I look for when reviewing resumes include relationship building, communication, and business acumen. In terms of character-related skills, I look for signs of resourcefulness, grit, determination, and teamwork. MongoDB’s approach to hiring is similar to how we run our business. We have a data-driven, methodical approach, but we apply a human touch and creativity to supplement the science. Overall, I look for potential. I’m looking for individuals with a high ceiling, people who are going to up-level the team and make a massive impact on the business. Part of that is ensuring we bring in people with proven skills, but it also involves identifying those intangibles often seen in high achievers. Three things I look for when scanning a resume are: Relevant SaaS and/or customer success experience at an organization with a B2B sales motion A combination of technical skills and business acumen Career progression within a company The most important aspect of this role is the ability to connect business challenges and desired outcomes with the products and solutions that MongoDB offers. When I review a candidate's experience, I look for evidence of high aptitude and business skills combined with a passion for technology. In the absence of proven experience, your ability to articulate why you’re so excited to develop those skills will get me excited about having you join the team. The recruiting process Once a candidate has passed the recruiter screen, they move to the next step in the process and meet with the hiring manager. When meeting with the hiring manager, the goal is to engage in a conversational interview, where we will provide more insight into the position while discussing motivators, people skills, and experience managing customer relationships, as well as gauging technical interest and general knowledge of our products. If all goes well, we’ll schedule a call with one of our customer success team members. This step is a great opportunity to learn more about the day-to-day expectations of the role, our team culture, and how we work with our customers from someone actively performing a similar position with MongoDB. This interview will involve a case study, which is intended to be discussion based, to understand your approach to a customer use case. If the peer interview goes well, the candidate is invited to our “challenge” interview. In our case, this means that the candidate will prepare a mock onboarding meeting with a new MongoDB Atlas customer. We provide the materials, ranging from presentation slides to a basic script with expectations and platform demo instructions. At any stage throughout the process, we strongly encourage you to engage with our team and recruiters as a resource for additional information and to answer any questions you may have throughout your preparation. We’re here to help set you up for success. The three main things I look for during the challenge presentation are: A passion for technology. A strategic mindset. Are you able to balance the big picture objectives alongside the tactical outcomes throughout the conversation? Adaptability, coachability, and the ability to accept feedback. Finally, my top three tips for succeeding in the challenge are: Let your personality shine. Show us why customers will love working with you. Be curious. Think about great questions you can ask during the onboarding call and demo that will uncover details, help the customer adopt MongoDB, and make your call conversational. Take advantage of the prep call with your interviewer. Ask for feedback and apply it ahead of the challenge presentation. Hear from senior customer success manager Christina Chao on why she joined MongoDB's customer success team Christina Chao When looking for my next workplace, I knew I wanted to find a place where I could continually challenge myself and grow my career year over year. This requires a combined focus on customer success and professional development. Many companies say that they see customer success as the future, but few actually have programs or policies in place that support that notion. MongoDB, on the other hand, has put significant investment into its customer success organization. They have invested heavily in promoting customer success both within and outside of MongoDB, providing growth opportunities for customer success managers (CSMs) and ensuring that they feel heard. Most importantly, MongoDB has created a culture that genuinely encourages growth. This culture is embodied at all levels of the organization, and we are continually challenged to be intentional about our growth, step out of our comfort zone, make mistakes (and learn from them), and own what we do. Interested in joining our customer success team? We have open roles across the globe and would love for you to transform your career with us!

October 31, 2022
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MongoDB Database Observability: Integrating with Monitoring Tools

This post is the final in a three-part series on leveraging database observability. Welcome back to our series on Leveraging Database Observability! Our previous post showcased a real-world use case highlighting how MongoDB Atlas’s observability tools effectively tackle database performance challenges. Whether you’re a developer, DBA, or DevOps engineer, our mission is to empower you to harness the full potential of your data through our observability suite . Integrating Atlas metrics with your central enterprise observability tools can simplify your operations. By seamlessly working with popular observability tools, our approach helps teams streamline workflows and enhance visibility across systems. Integrating MongoDB Atlas with third-party monitoring tools MongoDB’s developer data platform combines all essential data services for building modern applications within a unified experience. Our purpose-built observability tools for Atlas environments offer automatic monitoring and optimization, guiding diagnostics tailored specifically for MongoDB. Additionally, we extend Atlas metrics into your existing enterprise observability stack, enabling seamless integration without replacing your current tools. This creates a consolidated, single-pane view that unifies Atlas telemetry with other tech and application metrics, ensuring comprehensive visibility into both database and full-stack performance. This integration empowers you to monitor, receive alerts, and make data-driven decisions within your existing workflows, driving greater efficiency. Below is a quick guide to modifying integration settings through the Atlas UI and the popular integrations we support: Navigate to the Project Integrations page in Atlas. Choose the organization and project you want to configure from the navigation bar. On the Project Integrations page, select the third-party services you’d like to integrate. Configure the chosen services with the required API keys and regions. Critical integrations for your observability platform With Atlas’s Datadog and Prometheus integrations, you can send critical MongoDB metrics to these platforms, empowering detailed, real-time monitoring. Through Datadog , you can track database operation counts, query efficiency, and resource usage, ideal for pinpointing bottlenecks and managing resources. Similarly, Prometheus enables you to monitor essential metrics like query times, connection rates, and memory usage, supporting flexible tracking of database health and performance. Both integrations facilitate proactive detection of issues, alert configuration for resource thresholds, and a cohesive view of Atlas data when visualized in Grafana. Atlas’s integration with PagerDuty streamlines incident management by sending metrics like performance alerts, billing anomalies, and security events directly to PagerDuty. This integration records incidents automatically, notifies teams upon alerts, and supports two-way syncing, ensuring resolved alerts in Atlas are reflected in PagerDuty. It enables efficient incident response and resource allocation to maintain system stability. With Atlas integrations for Microsoft Teams and Slack, you can route key metrics—such as query latency, disk usage, and throughput—to these channels for timely updates. Teams can use these insights for real-time performance monitoring, incident response, and collaboration. Notifications through these platforms ensure your team stays informed on database performance, storage health, and user activity changes as they occur. Use case: Centralized observability with MongoDB Atlas, Datadog, and Slack Let’s walk through a hypothetical scenario for ShopSmart, an e-commerce company that leverages MongoDB Atlas to manage its product catalog and customer data. As traffic surges, the DevOps team faces challenges in monitoring application performance and database health effectively. To tackle these challenges, the team leverages MongoDB Atlas’ integration with Datadog and Slack, creating a powerful observability ecosystem. Integrating MongoDB Atlas with Datadog: The team pushes key MongoDB Atlas metrics into Datadog, such as query performance, connection counts, and Atlas Vector Search metrics. With Datadog, they can visualize these metrics and correlate overall MongoDB performance with their other applications. Out-of-the-box monitors and dedicated dashboards allow the team to track metrics like throughput, average read/write latency, and current connections. This visibility helps pinpoint bottlenecks in real time, ensuring optimal database performance and improving overall application responsiveness. Setting up alerts in Datadog: The team configures alerts for critical metrics like high query latency and increased error rates. When thresholds are breached, Datadog instantly notifies the team. This proactive approach allows the team to address potential performance issues before they impact customers. Integrating Datadog with Slack: To ensure fast communication, alerts are sent directly to the dedicated Slack channel, “ShopSmart-Alerts.” This integration fosters seamless collaboration, enabling the team to discuss and resolve issues in real-time. With these integrations, ShopSmart’s engineering team can monitor performance quickly and address issues efficiently. The unified observability approach enhances operational efficiency, improves the customer experience, and supports ShopSmart’s competitive edge in the e-commerce industry. By leveraging MongoDB Atlas, Datadog, and Slack, the team ensures scalable performance and drives continuous innovation. Conclusion MongoDB Atlas empowers developers and organizations to achieve unparalleled observability and control over their database environments. By seamlessly integrating with central enterprise observability tools, Atlas enhances your ability to monitor performance metrics and ensures you can do so within your existing workflows. This means you can focus on building modern applications confidently, knowing you have the insights and alerts necessary to maintain optimal performance. Embrace the power of MongoDB Atlas and transform your approach to database management—because your applications can thrive when your data is observable. And that wraps up our Leveraging Database Observability series! We hope you learned something new and found value in these discussions. Sign up for MongoDB Atlas , our cloud database service, to see database observability in action. To dive deeper and expand your knowledge, check out this learning byte for more insights on the MongoDB observability suite and how it can enhance your database performance.

November 14, 2024