MongoDB Assistance to Ukraine, Shut Down of Work in Russia

MongoDB
March 15, 2022 | Updated: January 30, 2023

Update: Applications are closed. Applications were accepted through May 31, 2022.

Over the past few weeks, the situation in Ukraine has escalated into a full-fledged war and humanitarian crisis. We continue to monitor the situation and its impact across the world. At this time, MongoDB does not have any offices or employees based in Russia. We have had limited business operations in Russia.

The breadth of the new sanctions from the US and internationally is unprecedented, and MongoDB has taken action to comply with them. We will not sell our cloud services to customers in Russia and Belarus and we will not sell any more MongoDB software to customers in Russia or Belarus.

For those in Ukraine, MongoDB is trying to do our part to help in a number of ways. MongoDB employees have donated directly to organizations that are helping people in crisis in the region. MongoDB, as an organization, has offered free Atlas credits to a project called Unterkunft Ukraine, which helps refugees fleeing Ukraine find temporary housing.

We are also making free MongoDB Atlas credits available for organizations that are developing software projects to help alleviate the current humanitarian crisis in Ukraine. If you are working on a project that provides assistance in the region, fill out the application to apply for free MongoDB Atlas credits.

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MongoDB and AWS Expand Global Collaboration

MongoDB launched as a developer-friendly, open source database in 2009, but it wasn't until 2016, when we released MongoDB Atlas , our fully managed database service, that the full vision for MongoDB truly emerged. Realizing that vision, however, has never been a solo effort. From the earliest days, MongoDB has partnered with a range of companies, but none more closely than with Amazon Web Services (AWS) as we've joined forces to make the developer experience as seamless as possible. Now we're kicking that partnership into overdrive. As announced today , MongoDB is expanding our global partnership with AWS. Though details of the agreement are confidential, the results will not be: Customers stand to benefit from deeper, broader technical integrations, improvements in migrating workloads from legacy data infrastructure to modern MongoDB Atlas, and more. For those of us who have worked to grow this partnership, it's exciting (and rewarding!) to see the scope of the work envisioned by MongoDB and AWS, together. On that note, it's worth revisiting how we got here. Building together From the earliest days , we've positioned MongoDB as the best way to manage a wide variety of data types and sources, in real time, at significant scale. Back then we called it "Big Data," but now we recognize it for what it is: what all modern data looks like. Then and now, MongoDB came with an open license that encouraged developers to easily access and tune the database to their needs. And so they did, with many developers opting to run their instances of MongoDB on AWS, removing the need to buy and provision servers. In fact, almost from the start of the company, we have worked closely with AWS to ensure that MongoDB users and customers would have an excellent experience running MongoDB on AWS. It was a great start, but it wasn't enough. Developers, after all, still had to fiddle with the dials and knobs of managing the database. This began to change in 2011, when the company released the MongoDB Monitoring Service (MMS). MMS made it much easier to monitor MongoDB clusters of any size. By 2013, we rolled MMS, Backup, and other MongoDB services into the MongoDB Management Service, and continued to work closely with AWS to optimize these services for MongoDB customers. Then in 2016, again with extensive AWS assistance, we launched MongoDB Atlas, a fully managed, integrated suite of cloud database and data services to accelerate and simplify how developers build with data. Making life easier for developers was the vision that co-founders Dwight Merriman and Eliot Horowitz had when they started MongoDB (then 10gen) in 2007. That vision has always depended on a strong partnership with AWS. This partnership got even stronger, as we just announced , with the promise of even better serverless options, expanded use of AWS Graviton instances to improve performance, and improved hybrid options through AWS Outposts. Beyond product, we'll also be more closely collaborating to reach and educate customers through joint Developer Relations initiatives, programs to reach new customers, and more. As good as our partnership has been, it just got significantly better. Although focusing on how the two companies compete may be convenient (for example, both organizations provide database services), how we cooperate is a more compelling story. So let's talk about that. A mutual obsession Over the past 15 years, MongoDB has built an extensive partner ecosystem. From open source mainstays like Confluent, to application development innovators like Vercel, data intelligence pioneers like BigID, and trusted system integration powerhouses like Accenture, we work closely with the best partners to ensure developers enjoy an exceptional experience working with MongoDB. As already noted, AWS is the partner with which we've worked most closely for the longest time. That partnership has resulted in tight integration between MongoDB and AWS services such as AWS Wavelength, Amazon Kinesis Data Firehose, Amazon EventBridge, AWS PrivateLink, AWS App Runner, Amazon Managed Grafana, and more. We also recently announced Pay as You Go Atlas on AWS Marketplace , giving customers even more options for how they run MongoDB on AWS. Additionally, as part of our new strategic agreement, we'll be offering joint customer incentive programs to make it even easier for customers to run proofs of concept and migrate from expensive legacy data infrastructure to MongoDB Atlas running on AWS. If this seems to paint an overly rosy picture of our partnership with AWS, it's worth remembering that the guiding principle for both AWS and MongoDB is customer obsession. Of course we've had moments when we've disagreed over how best to take care of customers, because every partnership has its fair share of friction. But behind the scenes, our product, marketing, and sales teams have worked together for years to meet customer needs. Customers seem to recognize this. In MongoDB's most recent earnings call, we announced that we now have more than 33,000 customers — including Shutterfly , Cox Automotive , Pitney Bowes , and Nesto Software — many of which choose to run Atlas on AWS. Still not convinced? There's perhaps no better way to understand what MongoDB can do for your organization than to try it. You can try Atlas for free , or you can choose to pay-as-you-go by starting with Atlas on the AWS Marketplace . Either way, we hope you'll let us know what you think.

March 15, 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