MongoDB Atlas is available through the Google Cloud Platform Marketplace

Abhinav Mehla and Tifani Ramic
June 4, 2019 | Updated: June 26, 2020

In April, we announced that MongoDB Atlas, our fully-managed global cloud database service, will be integrated directly with the Google Cloud Platform (GCP) Console and Marketplace to provide joint customers of MongoDB and GCP a number of new benefits. With MongoDB Atlas on GCP, you get the benefit of Google’s constant innovation alongside the best database for building modern applications in the cloud. We are very excited to share how this partnership is beginning to take shape and to announce what you can expect in the upcoming months.

Atlas is now available as an offering on the GCP Marketplace, allowing you to leverage your existing financial commitments to Google Cloud to cover Atlas usage. The availability of Atlas on the GCP Marketplace simplifies the procurement process by enabling unified billing - i.e., you will receive a single invoice from Google Cloud that includes your Atlas usage.

Annual Atlas packages including the usage of the database service, end-to-end database support, and additional software and education resources will be available through the GCP Marketplace:

  • End-to-end database support covers availability of the service, connectivity issues, and guidance on usage of the UI or platform features. It also includes advice about data best practices, performance optimization, scaling, etc.
  • MongoDB Compass, the GUI for MongoDB, is the easiest way to explore and manipulate your MongoDB data. Compass is included in the package available on the GCP Marketplace.
  • With online courses that train developers and operations engineers at every skill level, MongoDB University allows your teams to learn MongoDB and get up to speed on the latest features. On-demand access ensures they can do so at their own pace and on their own schedule.

Though the Atlas packages available on the GCP Marketplace are annual, you will be billed monthly based on your monthly Atlas consumption. Additional options for support are also available via private offer. Please reach out to mdb-gcp-marketplace@mongodb.com for more information.

The deeper integration between Atlas and GCP makes it frictionless to use the leading database for modern applications. When using Atlas on GCP, you will also be able to take advantage of new features including:

  • Cloud KMS integration lets you bring your own encryption keys to better manage access to sensitive data. Atlas supports using a Service Account Key provided by Google Cloud Platform to configure the encrypted storage engine — MongoDB’s native encryption option for its default storage engine — on M10 clusters or larger.
  • VPC Peering allows you to take advantage of GCP’s Global VPCs to connect to Atlas across regions with ease. Some benefits of VPC peering include lower network latency, higher security, and lower cost.
  • Cloud Provider Snapshots (CPS) on GCP provide fully managed localized backup storage and recovery using the native snapshot functionality of GCP. This also gives you the ability to take snapshots on-demand on top of the scheduled snapshots which occur at regular intervals. Cloud Provider Snapshots on GCP provide fast time to restore and allows you to minimize costs; in some regions, CPS is as low as $0.08/GB per month.
  • The availability of Atlas in GCP Switzerland brings the total number of regions supported to 19. Helping customers scale their cloud database without impacting performance is top of mind for us at MongoDB. Increasing the availability of Atlas enables lower latency read and writes globally, ensuring consistent performance for your users no matter their geographic location.

MongoDB Atlas is the best way to deploy, run, and scale MongoDB on the Google Cloud; we are thrilled to announce how our partnership is bringing more choice and value for our customers.

View MongoDB Atlas on the GCP Marketplace.
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MongoDB Named A Leader in The Forrester Wave™: Database-As-A-Service Q2 2019

MongoDB has been recognized as a Leader in the Database-as-a-Service market by research firm Forrester in its Forrester Wave™: Database-as-a-Service, Q2 2019 report. We are particularly pleased to see our cloud strategy validated by this recognition.

June 4, 2019
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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