3 Ways MongoDB EA Azure Arc Certification Serves Customers

Darshana Paithankar and Dan Mckean
November 19, 2024

One reason more than 50,000 customers across industries choose MongoDB is the freedom to run anywhere—across major cloud providers, on-premises in data centers, and in hybrid deployments. This is why MongoDB is always working to meet customers where they are. For example, many customers choose MongoDB Atlas (which is available in more than 115 cloud regions across major cloud providers) for a fully managed experience. Other customers choose MongoDB Enterprise Advanced (EA) to self-manage their database deployments to meet specific on-premises or hybrid requirements.

To that end, we’re pleased to announce that MongoDB EA is one of the first certified Microsoft Azure Arc-enabled Kubernetes applications, which provides customers even more choice of where and how they run MongoDB. Customer adoption of Azure Arc has grown by leaps and bounds. This new certification, and the launch of MongoDB EA as an Arc-enabled Kubernetes application on Azure Marketplace, means that more customers will be able to leverage the unparalleled security, availability, durability, and performance of MongoDB across environments with the centralized management of their Kubernetes deployments.

We are very excited to have MongoDB available for our customers on the Azure Marketplace. By extending Azure Arc’s management capabilities to your MongoDB deployments, customers gain the benefit of centralized governance, enhanced security, and deeper insights into database performance. Azure Arc makes hybrid database management with MongoDB efficient and consistent. Collaboration between MongoDB and Microsoft represents an opportunity for many of our customers to further accelerate their digital transformation when building enterprise-class solutions with Azure Arc.
Christa St Pierre, Partner Group Manager, Azure Edge Devices, Microsoft

Here are three ways the launch of MongoDB EA on Azure Marketplace for Arc-enabled Kubernetes applications gives customers greater flexibility.

1. MongoDB EA supports multi-Kubernetes cluster deployments, simplifies management

MongoDB Enterprise Advanced seamlessly integrates market-leading MongoDB capabilities along with robust enterprise support and tools for self-managed deployments at any scale. This powerful solution includes advanced automation, comprehensive auditing, strong authentication, reliable backup, and insightful monitoring capabilities, all of which work together to ensure security compliance and operational efficiency for organizations of any size.

The relationship between MongoDB and Kubernetes is one of strong synergy. With Kubernetes, MongoDB EA really can run anywhere, such as a single deployment spanning on-premises and more than one public cloud Kubernetes cluster. Customers can use the MongoDB Enterprise Kubernetes Operator, a key component of MongoDB Enterprise Advanced, to simplify the management and automation of self-managed MongoDB deployments in Kubernetes. This includes tasks like creating and updating deployments, managing backups, and integrating with various Kubernetes services.

The ability of the MongoDB Enterprise Kubernetes Operator to deploy and manage MongoDB deployments that span multiple Kubernetes clusters significantly enhances resilience, improves disaster recovery, and minimizes latency by allowing data to be co-located closer to where it is needed, ensuring optimal performance and reliability.

2. Azure Arc complements MongoDB EA, providing centralized management

While MongoDB Enterprise Advanced is already among a select group of databases capable of operating across multiple Kubernetes clusters, it is now also supported in Azure Arc-enabled Kubernetes environments. Azure Arc enables the standardized management of Kubernetes clusters across various environments—including in Azure, on-premises, and even other clouds—while harnessing the power of Azure services.

Azure Arc accomplishes this by extending the Azure control plane to standardize security and governance across a wide range of resources and locations. For instance, organizations can centrally monitor all of the Azure Arc-enabled Kubernetes clusters using Azure Monitor for containers, or they can enforce threat protection at scale using Microsoft Defender for Kubernetes.

This centralized control significantly reduces the complexity of managing Kubernetes clusters running anywhere, as customers can oversee all resources and apply consistent security and compliance policies across their hybrid environment.

3. Customers can leverage the resilience of MongoDB EA and the centralized governance of Azure Arc

Together, these solutions empower organizations to build robust applications across a wide array of environments, whether on-premises or in multi-cloud settings. The combination of MongoDB Enterprise Advanced and the MongoDB Enterprise Operator simplifies the deployment of MongoDB across Kubernetes clusters, allowing organizations to fully leverage enhanced resilience and geographic distribution that surpasses the capabilities of a single Kubernetes cluster. Azure Arc further enhances this synergy by providing centralized management for all of these Kubernetes clusters, regardless of where they are running; for customers running entirely in the public cloud, we recommend using MongoDB’s fully managed developer data platform, MongoDB Atlas.

If you’re interested in learning more, we invite you to explore the Azure Marketplace listing for MongoDB Enterprise Advanced for Arc-enabled Kubernetes applications. Please note that aside from use for evaluation and development purposes, this offering requires the purchase of a MongoDB Enterprise Advanced subscription. For licensing inquiries, we encourage you to reach out to MongoDB at https://www.mongodb.com/contact to secure your license and to begin harnessing the full potential of these powerful solutions.

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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

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Accelerating MongoDB Migration to Azure with Microsoft Migration Factory

Migrating MongoDB workloads from on-premises solutions or other cloud platforms to MongoDB Atlas on Azure has never been simpler, thanks to Microsoft’s Cloud Migration Factory (CMF). This newly created program is perfect for organizations using MongoDB Enterprise Advanced or Community Edition who are ready to modernize. By transitioning to MongoDB Atlas —an integrated suite of data and applications services—customers can simplify their database management, enhance performance, and reduce operational complexities, unlocking new potential and value from their data. Why the Microsoft Cloud Migration Factory (CMF)? The Microsoft CMF offers hands-on delivery for eligible workloads to accelerate customer journeys on Azure at no cost. With repeatable best practices, robust tools, structured processes, and a skilled resource pool, the Microsoft CMF delivery model mitigates technical risk and accelerates deployments with optimized architectures to maximize platform benefits. The MongoDB Migration Factory, meanwhile, is a comprehensive program designed to help organizations migrate their existing databases to MongoDB. This program provides a structured approach, tools, and best practices to ensure a smooth and efficient migration process. Microsoft CMF is partnering with MongoDB Migration Factory to jointly deliver migrations of MongoDB Enterprise Advanced or Community Edition deployments to MongoDB Atlas on Azure in a secure, optimized, and customer-focused way. This comprehensive migration approach enables businesses to leverage Azure for their MongoDB-based solutions with speed, confidence, best practices, and minimal disruption risk at an optimized cost. “This joint delivery offering from Microsoft Cloud Migration Factory (CMF) and MongoDB Migration Factory is designed to accelerate AI transformation priorities for our customers by driving the migrations to MongoDB Atlas on Azure with speed and quality,” said Rashida Hodge, Corporate Vice President of Azure Data and AI at Microsoft. “We have delivered thousands of customer engagements with the CMF model across all Azure workloads, making it a proven approach for accelerating cloud journeys with Microsoft-owned delivery.” Why MongoDB Atlas on Azure? MongoDB Atlas on Azure combines MongoDB’s robust document data platform with Azure’s scalability and advanced cloud services, making it ideal for high-performance applications. Offering features like automatic scaling, high availability, and comprehensive security, MongoDB Atlas on Azure supports diverse workloads, including transaction processing, in-app analytics, and full-text search. Integrations with Azure services—including Azure Synapse Analytics, Microsoft Fabric, and Power BI—enhance MongoDB Atlas’s analytics and visualization capabilities, and compliance with standards like HIPAA and GDPR ensures data privacy, enabling organizations to focus on innovation in a secure, scalable environment. Figure 1: MongoDB Atlas on Azure Integrations ecosystem Migrating MongoDB Community Edition or Enterprise Advanced to MongoDB Atlas on Azure Migrating from MongoDB Community Edition or MongoDB Enterprise Advanced to MongoDB Atlas on Azure offers numerous benefits, including enhanced scalability, security, and operational efficiency. MongoDB Atlas is a fully managed, cloud-based solution that simplifies database management by handling tasks like automatic scaling, high availability, and data backup. Leveraging Azure’s infrastructure, Atlas provides integrated services such as Azure Active Directory for improved authentication and identity management, and global cloud coverage to reduce latency by deploying clusters closer to users. MongoDB Atlas on Azure also includes robust security features like encryption at rest and in transit, network isolation, and advanced access controls, meeting compliance standards. These features are often difficult to implement in a self-managed environment. Additionally, Atlas offers advanced monitoring and automated tuning tools for optimizing database performance and resource usage, helping to reduce costs over time. For organizations considering migration to MongoDB Atlas, Microsoft CMF offers end-to-end guidance, providing a clear roadmap for every stage of the migration process, from initial validation to post-migration testing. With flexible migration paths that cater to a range of needs, Microsoft CMF supports live migrations using tools like mongosync and offline migrations with MongoDB’s native tools, enabling everything from minimal-downtime transitions to complete re-hosting. Best of all, Microsoft CMF is a complimentary service, which means that organizations don’t need to worry about budgets and can focus on the transition to MongoDB Atlas on Azure. In collaboration with MongoDB Professional Services, the CSX team leveraged MongoDB and Microsoft Migration Factory to migrate a mission-critical railroad transportation app quickly and seamlessly with zero downtime. John Maio, Department Head, Enterprise Data & Analytics at CSX Getting started Microsoft CMF’s structured approach guides organizations through each critical milestone to ensure a smooth migration process. For those interested in migrating their MongoDB setup to Azure, contact MongoDB today to take advantage of this free migration opportunity and experience the ease of MongoDB Atlas on Azure with Microsoft CMF support.

November 19, 2024