MongoDB highlights from AWS re:Invent 2022

William To
December 13, 2022 | Updated: December 7, 2023
#AWS re:Invent

Since its inception a decade ago, AWS re:Invent has become one of the preeminent conferences for the global cloud community — and a venue for inspiration, exploration, and innovation.

This year, MongoDB attended and hosted talks, workshops, and sessions; met with customers and partners; and connected with developers and potential and current customers in the expo hall.

MongoDB is the AWS Marketplace Partner of the Year - EMEA

MongoDB was awarded the AWS Marketplace Partner of the Year for the Europe, Middle East, and Africa (EMEA) region. Since 2021, MongoDB Atlas on AWS has grown by 173 percent among EMEA users, a result of a deeper collaboration with AWS and increased attention to the customer experience. For instance, we’ve simplified the purchase and pricing of MongoDB on AWS; partnered with AWS Marketplace Vendor Insights for increased security, compliance, and confidence; helped customers accelerate their migrations to MongoDB on AWS; and more.

For more details, read “MongoDB and AWS: How a decade-old collaboration got even better in 2022.”

MongoDB customers were everywhere at AWS re:Invent

Many MongoDB customers trust AWS for their cloud computing needs, making AWS re:Invent an ideal opportunity to better understand customer needs and use cases, strengthen relationships, and plan for the new year. We were happy to see how many MongoDB customers were mentioned in AWS CEO Adam Selipsky’s keynote address. In between debuting new AWS features and capabilities, Selipsky also mentioned many AWS and MongoDB customers, including Intuit, Okta, Palo Alto Networks, Expedia, and Epic Games. In fact, two-thirds of the brands mentioned across all four keynotes use and trust MongoDB.

Additionally, joint MongoDB and AWS partners Vercel and BigID, as well as customers TEG/Ticketek and Midland Credit Management, were featured on the Voice of the Customer series. The videos should be posted on the Amazon Partner Network channel soon.

MongoDB customer and partner live streams from re:Invent

From fashion startups to telecommunications providers, MongoDB customers span a wide range of industries, sizes, and business models. To help them share their diverse experiences, we also live-streamed conversations with leaders from four innovative MongoDB customers and partners: Okta/Auth0, VEERUM, Alloy Automation, and Vercel.

For our first livestream, MongoDB developer relations lead Shane McAllister sat down with Okta VP of engineering Andrew Yu for a conversation on how Okta became the preferred identity provider of tech teams across a range of industries and sectors.


MongoDB developer relations lead Shane McAllister discusses the meteoric rise of Okta with Okta VP of engineering Andrew Yu.

Next, MongoDB senior developer advocate Jesse Hall spoke with VEERUM CTO Rob Southon about their unique “digital twin” technology that allows remote site visits, enabling VEERUM customers to reduce time, money, and environmental impact.


MongoDB senior developer advocate Jesse Hall and VEERUM CTO Rob Southon discuss VEERUM's innovative asset management model and how it reduces costs and carbon footprint.

Afterward, Gregg Mojica, co-founder of Alloy Automation, spoke to MongoDB principal developer advocate Mike Lynn about his tech journey, including Alloy’s participation in the MongoDB for Startups program, overcoming the challenges of the COVID-19 pandemic, and the successful completion of a Series A funding round.


MongoDB principal developer advocate Michael Lynn talks to Alloy Automation co-founder Gregg Mojica about Alloy’s journey.

Shane McAllister also sat down with Vercel CEO Guillermo Rauch for a discussion about the MongoDB integration in the Vercel Marketplace, new announcements for Next.js 13, and the latest World Cup win for Argentina ⚽️.


MongoDB developer relations lead Shane McAllister speaks with Vercel CEO Guillermo Rauch on all the new Vercel announcements at AWS re:Invent 2022.

MongoDB executives on prime time

MongoDB CEO Dev Ittycheria and CISO Lena Smart were featured on theCube by SiliconANGLE, a leading tech news site. Ittycheria discussed some of current data trends, including the link between productivity and innovation, how consolidating tech stacks accelerates the release cycle, and how the MongoDB developer data platform empowers teams to make decisions faster and shorten time to market.


MongoDB CEO Dev Ittycheria sits down with interviewers from SiliconANGLE’s theCube talk show to talk about today’s rapidly evolving data landscape.

In her interview on theCube, Smart covered a variety of subjects, including new security features like Queryable Encryption, how to turn security from an obstacle to an opportunity, and the evolution of MongoDB. She also compared and contrasted emerging security challenges (from AI to quantum computing) with past crises like Y2K.


In this episode of SiliconANGLE’s theCube, MongoDB CISO Lena Smart reflects on past crises, the development of MongoDB, and how to turn security from obstacle to opportunity.

Lastly, SVP of product management Andrew Davidson spoke with Patrick Moorhead and David Newman from Futurum Research on The Six Five on the Road at AWS re:Invent 2022 show. Davidson began with an explanation of the data landscape, defining and discussing transactional data before explaining how MongoDB’s innovative document data model empowers developers with its flexibility and ease of use.

Security and "The Rise of the Developer Data Platform"

In CISO Lena Smart’s re:Invent fireside chat with MongoDB’s Karen Huaulme, Principal Developer Advocate; Andrew Davidson, SVP, Products; and Krista Braun, Executive Keynote Advisor; Smart discussed how security innovations played an important role in the growth of the MongoDB Atlas developer data platform, an integrated set of data and application services that share a unified developer experience.


MongoDB CISO Lena Smart presents “The Rise of the Developer Data Platform,” before joining MongoDB employees Andrew Davidson, Krista Braun, and Karen Huaulme for a panel discussion on the evolution of MongoDB.

Making the most out of your data

On each day of AWS re:Invent, MongoDB hosted lightning talks at our in-booth theater, covering a variety of practical topics such as frontend development, real-time analytics, and more.

In his two daily sessions, executive solutions architect Sigfrido “Sig” Narváez discussed different ways to maximize the value of your data. In the first workshop, Narváez and Ralph Capasso, director of engineering for MongoDB Data Lake, used real (and fictional) open source data from a Blue Origin rocket launch to demonstrate how the Atlas developer data platform can streamline tech stacks and provide real-time analytics and visualizations to boost customer engagement. Check out the rocket-analytics GitHub repo for more information.

In his next workshop, Narváez discussed how to tap into data locked away in relational databases by migrating to the Atlas developer data platform. In his demo, Narváez covered several key competencies, including transforming data with the MongoDB Relational Migrator, invoking a GraphQL endpoint with Postman, and using the Realm SDK to build a mobile app enabled with cloud sync. Visit the liberate-data GitHub repo for more information, including a complete Postman collection to import into your environment.

MongoDB executive solutions architect Sigfrido Narváez gives a demonstration to a small group in the green-and-lime MongoDB booth.
MongoDB executive solutions architect Sigfrido “Sig” Narváez presents a workshop at the in-booth theater at AWS re:Invent 2022.

Demystifying the edge

Following up on a MongoDB World presentation, “Building Your First Edge Computing App with MongoDB Atlas Device Sync, Realm, & Verizon 5G Edge,” MongoDB solutions architect and Realm specialist Mark Brown put together a practical, step-by-step tutorial on how developers can use LTE and 5G networks to bypass the physical fiber optic infrastructure of the internet, and deliver speedy, seamless service. Although Brown’s re:Invent sessions were not recorded, you can access the workshop modules for a self-guided walkthrough. Read the Mobile Edge Computing: Realizing the Benefits of 5G with MongoDB and Verizon 5G Edge white paper and blog series for more information.

MongoDB solutions architect (and Realm specialist) Mark Brown presents a guided walkthrough on edge computing and LTE/5G networks at AWS re:Invent 2022.
MongoDB solutions architect (and Realm specialist) Mark Brown hosts his workshop on bypassing physical internet infrastructure using LTE and 5G networks and edge applications.

The evolution of a data-driven application

In her workshop “10 Things You Didn’t Know Your Data Could Do for You,” MongoDB principal developer advocate Karen Huaulme shared her experience in creating a data-driven application. Read “Streamline, Simplify, Accelerate: New MongoDB Features Reduce Complexity” to learn more.


MongoDB principal developer advocate Karen Huaulme shares the struggles, rewards, and lessons learned from building a data-driven application.

Transitioning from relational to NoSQL

MongoDB developer relations director Rick Houlihan shared cultural and operational aspects of switching from relational to NoSQL. Watch the recording of his talk, "From RDBMS to NoSQL,” or read "Relational to NoSQL at Enterprise Scale.”


MongoDB developer relations director Rick Houlihan talks about the cultural shift from relational to NoSQL at AWS re:Invent 2022.

If you attended AWS re:Invent 2022, we hope you had a good time, and that we’ll see you there next year. In the meantime, you can run MongoDB Atlas on AWS — just head to the AWS Marketplace to get started. Sign up for a free trial to test out all the features and abilities that you’ve heard so much about.

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Forrester Study: How IT Decision Makers Are Using Next-Generation Data Platforms

Data is critical to every financial institution; it is recognized as a core asset to drive customer growth and innovation. As the need to leverage data efficiently increases, however, the legacy technology that still underpins many organizations is not built to support today’s requirements. Not only is this infrastructure costly and complex, it doesn’t support the diversity of workloads and functions that modern applications require. To overcome these challenges, organizations are increasingly adopting an integrated data platform that offers a seamless developer experience, runs anywhere, and scales to meet growing business needs. To better understand how such data platforms are being used, MongoDB commissioned Forrester Consulting to survey global IT decision makers at financial services and fintech organizations. In this article, we’ll share findings from the survey to help answer questions such as: What impact are legacy technologies having on financial services? What are the requirements for a data platform? And, for those already adopting next-generation data platforms, what benefits are they experiencing? According to the survey, the majority of decision makers are aware of issues related to legacy technologies: 57% of respondents said that their legacy technology was too expensive and doesn’t fulfill the requirements of modern applications. 50% said legacy technology cannot support the volume, variety, and velocity of transactional data. 47% noted that their systems landscape struggled to handle the rate of change required to stay up to date with customer expectations. Download the full study: What’s Driving Next-Generation Data Platform Adoption in Financial Services What is a next-generation data platform? Within the context of this study, a next-generation data platform is defined as supporting flexible and versatile data models, offering multiple access patterns (e.g., document, relational, graph), and catering to the speed, scale, performance, integration, and security needs of small or large organizations for new development or modernization efforts. All of these features are included in a single platform that delivers real-time, consistent, and trusted data to support a business. Adoption of next-generation data platforms in the financial services and fintech space is already high, with nearly 90% of respondents saying they are already adopting. The benefits are already understood, with 74% of respondents acknowledging not only that there are technology benefits but also that a next-generation data platform frees up teams to focus on innovation and enables faster software builds and iterating at scale (76%). The key to innovation - What's driving the adoption of next-gen data platforms? Security and risk management are key use cases Given the huge amount of confidential client and customer data that the financial services industry deals with on a daily basis — and the strict regulations — security must be of highest priority. The perceived value of this data also makes financial services organizations a primary target for data breaches. Many organizations are still working to realize the full potential of adopting next-generation data platforms; however, it’s understood that such platforms are the only way to manage cost, maximize security, and continue to innovate. Fraud protection (51%), risk management (46%) and anti-money laundering (46%) are high priorities for any new data platform, according to respondents. And, these findings directly correlate with 40% of respondents saying that their current database is unable to meet security requirements. Multi-cloud is driving investment Regardless of their size and business mix, most financial institutions have come to understand the benefits of cloud and multi-cloud services. Multi-cloud — the practice of leveraging cloud services from more than one provider — is no longer just a nice-to-have option. Regulators, however, are increasingly focused on cloud concentration risk as so much of the technology underpinning global financial services relies on so few large cloud services providers. Regulators have so far offered financial institutions warnings and guidance rather than enacting new regulations, although they are increasingly focused on ensuring that the industry is considering plans. An outage or cyberattack at a large public cloud provider, they worry, could derail the global financial system. Decision makers are finding that multiple clouds provide them with lower costs, higher performance, and greater flexibility. This is why, according to the survey, the top driver for investment for decision makers when adopting next-generation data platforms is multi/hybrid cloud capabilities (49%), followed by scalability (44%). Improving real-time analytics capabilities The ability to perform real-time analytics is key for financial institutions, as they need to provide more personalized customer experiences, react more quickly to market trends, and detect and prevent potential threats. With legacy systems, few of these organizations can respond to changes in data minute by minute or second by second. Among survey respondents, real-time analytics was the top feature (54%) that organizations are interested in with regard to next-generation data platforms. With improved analytics capabilities, businesses can analyze any data in place and deliver insights in real time. Legacy infrastructure is holding organizations back To remain competitive and build experiences that retain customers, financial institutions need to master their data estate. Specifically, they need to free themselves from the rigid data architectures associated with legacy mainframes and monolithic enterprise banking applications. Only then can developers build high-quality customer-facing applications rather than maintain legacy systems. High costs and data complexity are the top challenges driving organizations to modernize legacy workloads and unlock business agility. According to 57% of IT decision-makers questioned, legacy technology is too expensive and does not fulfill the requirements of modern applications. This correlates with 79% of respondents seeking a data platform that will address multiple workloads — ranging from transactional to analytical — as data continues to expand. What is the impact? Financial organizations use next-generation data platforms to replace legacy technologies that fragment and duplicate data and cause internal silos. This change also addresses key needs like reducing costs, lowering complexity, better onboarding for customers, and meeting security requirements. Once in place, a next-generation data platform provides several advantages, including minimizing data inconsistencies (43%), expanding geographical coverage (42%), freeing up resources (40%), and reducing time-to-market for new ideas (37%). Other advantages include eliminating the impact of database downtime for upgrades, migrations, and schema changes. And, additional benefits can be seen within the customer and employee experience, as they engage with and access information. Based on these benefits, financial services organizations are looking to increase investment in next-generation data platforms by an average of one million dollars or more in the next one to three years. The volume and variety of data that financial services companies must deal with will only increase in the coming years. As such, figuring out how to leverage, protect, and innovate around that data will put organizations in good stead moving forward. A next-generation data platform can be the key to making this happen. About the study MongoDB commissioned Forrester Consulting to conduct a study questioning global IT decision makers at financial services and fintech organizations to evaluate the impact they are experiencing when adopting next-generation data platforms. The study evaluates the benefits, challenges, and barriers of adoption that decision makers are experiencing, as well as the outcomes after adoption. To create this study, Forrester Consulting supplemented this research with custom survey questions asked of database/data platform strategy decision-makers in finserv (73%) or fintech (27%) from North America (22%), Europe (39%), and APAC (39%). The organizations questioned had 1,000+ employees. The custom survey began and was completed in September 2022. Download the full study — What’s Driving Next-Generation Data Platform Adoption in Financial Services — to learn about organizations’ needs and plans for using next-generation data platforms.

December 13, 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