Driving Innovation with MongoDB Atlas on Google Cloud

MongoDB Atlas and Google Cloud’s global partnership continues to set the standard for cloud modernization across industries. Our joint solution helps customers modernize their database stack when they migrate their infrastructure to the cloud, ultimately boosting developer productivity and reducing total cost of ownership (TCO) while giving customers access to state-of-the-art analytics and the machine learning capabilities of Google Cloud. Our partnership is producing plenty of exciting developments—read on to learn more about our joint awards, latest integrations, and what’s next.

Earlier this month on October 12, MongoDB was announced as a Google Cloud Cross-Industry Customer of the Year. On the heels of an expanded, five-year partnership that began earlier in 2021, MongoDB and Google Cloud continue to create excellent customer experiences for our joint customers across the globe. Adopted by clients in the gaming, retail, healthcare, financial services, and automotive industries, among others, MongoDB Atlas on Google Cloud is experiencing exciting year-over-year growth in a variety of innovative fields.

After putting much effort into launching joint integrations to become a first-class database within Google Cloud Marketplace, MongoDB was also named Google Cloud Technology Partner of the Year Award - Marketplace—for the 2nd year in a row. Since being made available on Google Cloud Console and Marketplace, MongoDB Atlas on the Marketplace has rapidly become the preferred engagement model for users. MongoDB Atlas on the Marketplace is available as a pay-as-you-go offering, and clients can now use their Google Cloud spending commitments toward Atlas to take advantage of integrated billing and support.

The intuitive database structure of MongoDB combined with the cloud computing power and security of Google Cloud enables clients to take a quantum leap forward from their legacy systems. With MongoDB Atlas on Google Cloud, companies gain the power to scale effortlessly, maintain business-critical reliability, and cut costs.

So, what's the latest?

Today’s users expect a seamless application experience regardless of where they’re located. MongoDB Atlas delivers responsive and reliable applications worldwide alongside continuous support for new regions. Most recently, three new Google Cloud regions for Atlas dedicated clusters were released in Delhi (asia-south2), Melbourne (australia-southeast2), and Warsaw (europe-central2)—for a total of 27 supported regions, allowing customers to deploy fully managed MongoDB databases in every Google Cloud region.

These regions expand the geographical coverage not just of Atlas on Google Cloud, but Atlas as a whole. The availability of Atlas in new regions will provide lower-latency access to data, offer more options for disaster recovery globally, and make it easier for customers to satisfy local regulatory and compliance requirements.

Companies across the world are benefitting from our global partnership. In Japan, e-commerce analytics company PLAID has migrated to MongoDB Atlas on Google Cloud to automate operational tasks like version upgrades and backups. And in North America, the largest tire distributor on the continent, ATD, now has its own custom event-driven architecture that’s accessible, pluggable, and scalable to support the company’s expanding business horizons. ATD can now scale up for bulk one-time loads and process more than 50 million transactions in less than four hours, which is nearly 5x their real-time transactions per day.

In a development that was just announced, MongoDB Atlas now allows users to deploy a serverless database on Google Cloud via serverless instances, available in preview. Serverless computing is becoming increasingly popular among developers due its undeniable benefits—including consumption-based pricing and a service that scales dynamically as needed, which eliminates the need to provision and manage capacity needs. Serverless computing abstracts and automates away many of the lower-level infrastructure decisions that consume precious developer time so they can instead focus on building differentiated features. With serverless instances, users can get started with minimal configuration—simply choose a region and give your database a name and Atlas will provide the resources your app needs.

For any company that needs faster insights from data stored all over their organization, Google Cloud introduced Datastream, and MongoDB Atlas was excited to be a launch partner. Datastream is a new serverless change data capture and replication service that allows developers to easily stream data from relational databases like Oracle and MySQL to MongoDB Atlas. By making data more accessible, Datastream and MongoDB Atlas help companies make their data more actionable, and therefore more valuable.

Announced in August 2021, Google Cloud’s Private Service Connect (PSC) is now generally available in all Google Cloud regions. By abstracting the underlying networking infrastructure, PSC allows users to create private and secure connections from cloud networks to services like MongoDB. PSC will allow Google Cloud customers to use MongoDB Atlas more easily, while ensuring that the connectivity is private and secure. Connecting MongoDB Atlas with Google Cloud services will make it possible for enterprises to innovate faster.

Together, MongoDB and Google Cloud are developing ways for companies to accelerate digital transformation, empower employees, and raise customer satisfaction to new levels. Learn more about what your organization can do with MongoDB and Google Cloud at our first-ever joint Developer Summit on October 28. Sign up now to hear directly from your peers about how they’re using the combined power of MongoDB and Google Cloud, and participate in a live developer Q&A.

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How to Prepare for Your Engineering Interview at MongoDB

MongoDB’s Engineering team is full of creative individuals who play an impactful role in building our industry-leading technology. Our interview process is designed to ensure that you and MongoDB are a great match, and, no matter how many interviews you have done in the past, being prepared is the key to being successful. At MongoDB, we do our best to make sure you have a great interview experience and an opportunity to learn about our company, culture, and the people you will be working with. To help you prepare for your technical interviews, we want to share some tips. Research is key Candidates who do research and come prepared for interviews at MongoDB are able to make the most of their interview process. People sometimes think they do not need to do research because they are already familiar with our products, but that will set you up for unexpected surprises. Before beginning your interviews, you should have high-level knowledge of our company’s mission, values, and goals . The in-depth technical information you can learn about MongoDB and the role and team you are interviewing for may also help set you apart from other candidates. MongoDB has a variety of products and Engineering teams, and this information will give you a chance to learn more about what we are working on, technical stacks we use, and what you’d be contributing to if you joined. Take a look at some of the resources below, and use them to your advantage. MongoDB Blog : Our blog is updated regularly with new posts about life at MongoDB, news, products, and events. MongoDB University : This platform was created to empower developers through education. We offer completely free online courses led by Curriculum Engineers for any learner, whether you’re just getting started or already familiar with MongoDB. MongoDB Documentation : The documentation page has detailed information about our products and tools that will give you an idea of what you will be working on as an engineer. MongoDB Developer Hub : The developer hub provides articles on and resources for how to get started with MongoDB. Learn from our Developer Advocates and the MongoDB community! Types of interviews After doing some initial research, it is important to prepare for the actual interviews. Our interview process usually includes one or two virtual interviews and then an onsite interview, which we are currently conducting via Zoom. This may change in accordance with company and COVID-19 guidelines. These interviews and what they cover will vary by team, so it is important to speak with your recruiter and ask for any additional tips or insight into what to expect. Our recruiting process is primarily team-based, which means you’ll interview for a role on a specific team, and many of your interviewers will be team members, as well as your manager. In general, you can expect to receive questions about your background, interest in MongoDB, and why you are interviewing to work with that team. You’ll also have the opportunity to ask your interviewers questions about all things MongoDB. Technical Interviews Technical interviews have a variety of areas that may be covered, including concurrency, distributed systems, algorithms, system design, and language-specific coding. An important part of the technical interview that often goes under the radar is the need for effective communication when talking through your thought process or discussing the problems that are presented. Below are some of the things our engineers look for in a good technical performance. Writing code: strong understanding of the language being used, code is concurrency-safe, works in edge cases, good object-oriented design Software engineering: understanding of data structures and algorithms, considering trade-offs (e.g., run time vs. memory), testing your code Collaboration: clear and concise code that is readable and organized, responding well to suggestions or hints, effective communication about difficulties faced Systems design: design a solution to scale to high levels of concurrency, throughput, and reliability. Does it avoid common bottlenecks, how do we prove its correctness, and what are the trade-offs or alternative solutions? Behavioral Interviews Behavioral interviews focus on how you may add to the culture we continue to build at MongoDB. Reviewing our code of conduct and core values will show you how we operate as a company and what we expect from our employees. Other topics of discussion you should expect in these interviews are successes and failures, what you have learned from these experiences, and what you are looking for in your next role. We will also ask you about your experience with mentoring and learning from other engineers and leaders, your goals and aspirations for the future, and your experience with owning or leading projects. What we offer There are a few things we can promise if you decide to interview for an Engineering role at MongoDB. First, you’ll have a speedy and transparent process with a single, dedicated recruiter. We tailor each of our interview processes to fit the role’s responsibilities and seniority level, and you won’t be asked any riddle questions that aren’t related to the work you’d be doing. Our interview questions are typically sourced from real problems we have had to solve. You’ll also have the opportunity to interact with your future manager and some future teammates, and we hope you find that your interviewers are genuinely interested in you as a person and seeing you succeed at MongoDB. We believe different experiences, identities, and perspectives build a unique culture that helps us create and innovate the next generation of MongoDB. In short, following this guide will help prepare you for a successful interview at MongoDB. Ensure you have gained some knowledge about our company, mission, and goals; the role you’re interviewing for and the team you’d be working on; and the types of interview questions you may be asked. And be prepared with questions for us! We’re so glad you’re interested in joining our team, and we look forward to seeing you in the interview process. Interested in pursuing a career in engineering at MongoDB? We have several open roles on our teams across the globe and would love for you to transform your career with us!

October 21, 2021
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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