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MongoDB Realm Sync is GA
February 2, 2021
News
Introducing: Atlas Operator for Kubernetes
The MongoDB Enterprise Operator serves to automate and manage MongoDB clusters on self-managed infrastructure. While this integration has provided complete control over self-managed MongoDB deployments from a single Kubernetes control plane, we’re taking it a step further by extending this functionality to our fully-managed database—MongoDB Atlas. We’re excited to introduce the trial version of the Atlas Operator for Kubernetes. The Atlas Operator will allow you to manage all your MongoDB Atlas clusters without ever having to leave Kubernetes. Keep your workflow as seamless and optimized as possible by managing the lifecycle of your cloud-native applications from where you want most. With the trial version of this Atlas Operator, you can provision and deploy fully-managed MongoDB Atlas clusters on the cloud provider of your choice through Kubernetes. This provider is especially important for those seeking to unlock the power of multi-cloud with unique tools and services native to AWS, Google Cloud, and Azure without any added complexity to the data management experience. With this new Atlas Operator, you get the best of all clouds with multi-cloud clusters on Atlas , coupled with the freedom to run your entire stack anywhere, all while managed in one central location. The “trial version” simply means it has all the core functionality to provision fully-managed Atlas clusters, but the bells and whistles are yet to come. In addition to encapsulating core Atlas functionality, it ensures Kubernetes Secrets are created for each database user which allows for easier management of sensitive data. The Atlas Operator also allows you to create IP Bindings so your applications can securely access clusters. If you’re interested in using the trial version of the Atlas Operator today, follow our quickstart guide below to get started! Quickstart Below you’ll find the steps to create your first cluster in Atlas using the Atlas Operator. Note that you need to have a running Kubernetes cluster before deploying the Atlas Operator. Register/Login to Atlas and create API Keys for your Organization. This information together with the Organization ID will be used to configure the Atlas Operator access to Atlas. Deploy the Atlas Operator kubectl apply -f \ https://raw.githubusercontent.com/mongodb/mongodb-atlas-kubernetes/main/deploy/all-in-one.yaml Create a Secret containing connection information from step one. This Secret will be used by the Atlas Operator to connect to Atlas: kubectl create secret generic mongodb-atlas-operator-api-key \ --from-literal="orgId=<the_atlas_organization_id>" \ --from-literal="publicApiKey=<the_atlas_api_public_key>" \ --from-literal="privateApiKey=<the_atlas_api_private_key>" \ -n mongodb-atlas-system Create AtlasProject Custom Resource: cat <<EOF | kubectl apply -f - apiVersion: atlas.mongodb.com/v1 kind: AtlasProject metadata: name: my-project spec: name: Test Atlas Operator Project projectIpAccessList: - ipAddress: "0.0.0.0/0" comment: "Allowing access to database from everywhere (only for Demo!)" EOF Create AtlasCluster Custom Resource cat <<EOF | kubectl apply -f - apiVersion: atlas.mongodb.com/v1 kind: AtlasCluster metadata: name: my-atlas-cluster spec: name: "Test-cluster" projectRef: name: my-project providerSettings: instanceSizeName: M10 providerName: AWS regionName: US_EAST_1 EOF (You'll have to wait until the cluster is ready - "status" field shows "ready:true":) kubectl get atlasclusters my-atlas-cluster -o=jsonpath='{.status.conditions[?(@.type=="Ready")].status}' True Create a Secret for the password that will be used to log into Atlas Cluster Database kubectl create secret generic the-user-password \ --from-literal="password=P@@sword%" Create AtlasDatabaseUser Custom Resource (references the password Secret) cat <<EOF | kubectl apply -f - apiVersion: atlas.mongodb.com/v1 kind: AtlasDatabaseUser metadata: name: my-database-user spec: roles: - roleName: "readWriteAnyDatabase" databaseName: "admin" projectRef: name: my-project username: theuser passwordSecretRef: name: the-user-password EOF Shortly the Secret will be created by the Atlas Operator containing the data necessary to connect to the Atlas Cluster. You can mount it into your application Pod and read the connection strings from the file or from the environment variable. kubectl get secrets/test-atlas-operator-project-test-cluster-theuser \ -o=jsonpath="{.data.connectionString.standardSrv}} | base64 -d mongodb+srv://theuser:P%40%40sword%25@test-cluster.peqtm.mongodb.net Stay Tuned for More Be on the lookout for updates in future blog posts! The trial version of the MongoDB Atlas Operator is currently available on multiple marketplaces, but we’ll be looking to make enhancements in the near future. For more information, check out our MongoDB Atlas & Kubernetes GitHub page and our documentation .
Global, Multi-Cloud Security at Scale with MongoDB Atlas
In October 2020, we announced the general availability of multi-cloud clusters on MongoDB Atlas . Since then, we’ve made several key improvements that allow customers to take advantage of the full breadth of MongoDB Atlas ’ best-in-class data security and privacy capabilities across clouds on a global scale. Cross-Cloud Security with MongoDB Atlas A common question we get from customers about multi-cloud clusters is how security works. Each cloud provider offers protocols and controls to ensure that data within its ecosystem is securely stored and accessed. But what happens when your data is distributed across different clouds? Don’t worry–we have you covered. MongoDB Atlas is designed to ensure that our built-in best practices are enforced regardless of which cloud providers you choose to use, from dedicated network peering connections to customer-managed keys for data encryption-at-rest and client-side field-level encryption. Private Networking to Multiple Clouds You can now create multiple network peering connections and/or private endpoints for a multi-cloud cluster to access data securely within each cloud provider. For example, say your operational workload runs on Azure, but you want to set up analytics nodes in Google Cloud and AWS so you can compare the performance of Datalab and SageMaker for machine learning. You can set up network peering connections for all three cloud providers in Atlas to allow each of your cloud environments to access cluster data in their respective nodes using private networks. For more details, take a look at our documentation on network peering architecture . Integrate with Cloud KMS for Additional Control Over Encryption Any data stored in Atlas can be encrypted with an external key from AWS KMS, Google Cloud KMS, or Azure Key Vault for an extra layer of encryption on top of MongoDB’s built-in encrypted storage engine . You can also configure client-side field level encryption (client-side FLE) with any of the three cloud key management services to further protect sensitive data by encrypting document fields before it even leaves your application ( support for Azure Key Vault and Google Cloud KMS is available in beta with select drivers ). This means data remains encrypted even while it is in memory and in-use within your live database. Even though the data is encrypted, it remains queryable by the application but is inaccessible to any administrators running the database or underlying cloud infrastructure for you. Beyond security, client-side FLE is also a great way to comply with right to erasure requests that are part of modern privacy regulations such as the GDPR or the CCPA. You simply destroy the user’s encryption key and their PII is unreadable and irrecoverable in memory, on disk, in logs, and in backups. For multi-cloud clusters, this means you can take advantage of multiple layers of encryption that use keys from different clouds. For example, you can have PII data encrypted client-side with AWS KMS keys, then stored in both an AWS and Google Cloud region on Atlas and further encrypted at rest with a key managed via Azure Key Vault. Global, Multi-Cloud Clusters on MongoDB Atlas For workloads that reach users across continents, our customers leverage Global Clusters . This gives you the unique ability to shard clusters across geographic zones and pin documents to a specific zone. Now that Atlas is multi-cloud, you can now choose from the nearly 80 available regions across all three providers, expanding the potential reach of your client applications while making it easy to comply with data residency regulations. Consider a sample scenario where you’re based in the US and want to expand to reach audiences in Europe. To comply with GPDR , you must store EU customer data within that region. With Global Clusters, you can configure a multi-cloud cluster with a US zone and an EU zone. In the US, you choose to run on AWS, but in Europe, you decide to go with Azure because it has more available regions. All of this can be configured in minutes using the Atlas UI: simply define your zones and ensure that your documents contain a location field that dictates which zone they should be stored in. For more details, follow our tutorial for how to configure a multi-cloud Global Cluster on Atlas . Future-Proof Your Applications with Mulit-Cloud Clusters There are many reasons why companies are considering a multi-cloud strategy , from cross-cloud resiliency to geographical reach to being able to leverage the latest tools and services on the market. With MongoDB Atlas, you get best-in-class data security and operations and intuitive admin controls, regardless of how many cloud providers you want to use. To learn more about how to deploy a multi-cloud cluster on MongoDB Atlas, check out our step-by-step tutorial , which includes best practices for node distribution, instructions for how to test failing over to another cloud, and more. Safe Harbor The development, release, and timing of any features or functionality described for our products remains at our sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality.
MongoDB Launches Sales Academy
We’re thrilled to announce our inaugural MongoDB Sales Academy! This program will prepare emerging professionals with the training and experience they need to jumpstart a career in sales. We’re looking for recent college graduates with an interest in technology to join our rapidly growing sales team. “The creation of a program designed to develop recent college graduates into sales professionals is a natural extension of MongoDB’s culture of talent development. We have best in breed sales enablement and onboarding programs, and a “BDR to CRO” program focused on accelerating sales careers. We have an opportunity to bring these world-class training programs to those who are starting their careers, and to turn emerging professionals into future leaders at MongoDB.” - Meghan Gill, VP Sales Operations & SDR The Sales Academy will be a full time, paid 8-week training program based in Austin, TX. It will focus on training and developing future MongoDB Sales Development Representatives as, upon completion, these recent college graduates will move into a full time SDR position. Those who are part of the Sales Academy will have direct one-on-one support from their sales mentors, MongoDB’s leadership team, the Campus Team, and each other. These New Grads will complete a best-in-class training program, which includes both technical concepts and sales processes. Through regular coaching and professional development training, our Sales Academy New Grads will graduate from the program and become full-time members of the Sales team at MongoDB. “Life at MongoDB is ever-evolving and a great start for anyone looking to take their career to the next level. You can expect to constantly learn new things about technology and your customers, work alongside some of the best sales professionals in the industry, and to be on the forefront of innovation. If you want to understand technology like never before, work with customers modernizing today’s world, and get consistent feedback from peers and leadership, this is the right place for you.” - Maya Monico, SDR Manager This isn’t the first time that MongoDB has hired students into our sales organization. Hannah Branfman was part of our SDR Internship program and, upon graduating from her school, joined us full-time. When asked about what sales at MongoDB is like, Hannah says: “If you have ambition, are coachable and have a strong desire to learn, MongoDB will be a great fit for you. You have to be willing to make mistakes and remain naturally curious — don’t stop asking questions! If you have the perseverance to not only get here, but to then set the bar high for yourself and surpass it, you will fit in great. Get ready to make an impact!” - Hannah Branfman, SDR We’re eager to find recent college graduates who are ambitious and excited to learn. If you’re interested in kickstarting your sales career at MongoDB in our Austin office, this could be the perfect fit for you! The job post is now up and we look forward to reviewing your application and getting to know you!
Learn How to Scale Your Startup with this Educational Series
As a startup, you're probably interested in spending more time on shipping features than managing your database. Upskill in the new year with Scaling Your Startup with MongoDB Atlas: A Series . Join us for a three-part educational monthly webinar series kicking off January 26, completely focused on how to do less with more. When? The last Tuesday of every month, January through March, at 9 am PT/noon ET What? Our technical experts will take you through NoSQL, the MongoDB Query Language, MongoDB Atlas (our global cloud database service), and show you how to take the heavy lifting out of database management. View Scaling Your Startup with MongoDB Altas: A Series Why NoSQL for Startups | Lauren Schaefer | January 26 Scale Your Startup with MongoDB Atlas | Mike Lynn | February 23 Reaching Scalability with MongoDB Atlas | Adrienne Tacke | March 30 Where? Zoom How much? Free! Who should attend? Attend if you are a MongoDB beginner, in need of a technical refresher, building a product or service, or part of a startup. Will it be recorded? Of course. Each webinar will be recorded and posted to the website for you to watch anytime, at your convenience. Why? Just check out the takeaways below. Plus at the end of each presentation, you’ll have time to submit queries for Q&A with the technical expert. Key takeaways will include: Mapping terms & concepts from tables to documents Discovering the 4 major advantages of documents for your startup Changing your mindset in 3 key ways Deploying a free tier cluster Adding users & managing user access Connecting to MongoDB Compass, the GUI for MongoDB What's Realm? Third-party integration What is and why Multi-Cloud? How to set-up Multi-Cloud Cluster And much more! Save Your Spot for Scaling Your Startup with MongoDB Atlas: A Series
MongoDB Atlas Online Archive for Data Tiering is now GA
We’re thrilled to announce that MongoDB Atlas Online Archive is now Generally Available. Online Archive allows you to seamlessly tier your data across Atlas clusters and fully managed cloud object stores, while retaining the ability to query it through a single endpoint. Reduce storage costs. Set the perfect price to performance ratio on your data. Automate data tiering. Eliminate the need to manually migrate or delete valuable data. Queryable archives. Easily federate queries across live and archival data using a unified connection string. With Online Archive, you can bring new use cases to MongoDB Atlas that were previously cost-prohibitive such as high volume time-series workloads, data archival for auditing purposes, historical log keeping and more. Manage your entire data lifecycle on MongoDB Atlas without replicating or migrating it across multiple systems. What is Atlas Online Archive? Online Archive is a fully managed data tiering solution that allows you to tier data across your "hot" database storage layer and "colder" cloud object storage to maintain queryability while optimizing on cost and performance. Online Archive is a good fit for many different use cases, including: Insert heavy workloads, where data is immutable and has lower performance requirements as it ages Historical log keeping and time-series datasets Storing valuable data that would have otherwise been deleted using TTL indexes We’ve received amazing feedback from the community over the past few months while the feature was in beta and we’re now confident in supporting your production workloads. Our users have put the feature through a variety of use cases in production and development workloads which has enabled us to make a wide range of improvements. Online Archive gives me the flexibility to store all of my data without incurring high costs, and feel safe that I won't lose it. It's the perfect solution. Ran Landau, CTO, Splitit Autonomous Archival Management It's easy to get started with Online Archive and it requires no ongoing maintenance once it’s been set up. In order to activate the feature, you can follow these simple steps: Navigate to the “Online Archive” tab on your cluster card and begin the setup flow. Set an archiving rule by selecting a date field, with dot-notation if it’s nested, or creating a custom filter. Choose commonly queried fields that you want your archival queries to be optimized for, with a few things in mind: Your data will always be “partitioned” by the date field in your archive, but can be partitioned by up to two additional fields as well. The fields that you most commonly query should be towards the top of the list (date can be moved to the top or bottom). Query fields should be chosen carefully as they cannot be changed after the fact and will have a large impact on query performance. Avoid choosing a field that has unique values as it will have negative performance impacts for queries that need to scan lots of data. And you’re done! MongoDB Atlas will automatically move data off of your cluster and into a more cost-effective storage layer that can still be queried with a single connection string that combines cluster and archive data, powered by Atlas Data Lake . What's Next? Along with announcing Online Archive as Generally Available, we’re excited to share a few additional product enhancements which should be available in the coming months: Private Link support when querying your archive Incremental deletes of data from your archive Support for BYO key encryption on your archival data Improved performance and stability Try Atlas Online Archive Online Archive allows you to right-size your Atlas clusters by storing hot data that is regularly accessed in live storage and moving colder data to a cheaper storage tier. Billing for this feature will include the cost to store data in our fully managed cloud object storage and usage based pricing for querying archive data. We can’t wait to see what new workloads you’ll bring onto MongoDB Atlas with the new flexibility provided by Online Archive! To get started, sign up for an Atlas account and deploy any dedicated cluster (M10 or higher). Have questions? Check out the documentation or head over to our community forums to get answers from fellow developers. And if we’re missing a feature you’d like to see, please let us know ! Safe Harbor Statement The development, release, and timing of any features or functionality described for MongoDB products remains at MongoDB's sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality. Except as required by law, we undertake no obligation to update any forward-looking statements to reflect events or circumstances after the date of such statements.
Re-Imagining What A Cloud-Native Database Can Be
COVID-19 has compelled companies of all sizes and industries to reinvent themselves. From the way they work to the way they interact with customers, the pandemic has forced an urgent shift to a digital-by-default customer experience and, as a result, has accelerated the move to the cloud. But as companies make the move, many are finding that the same data silos and operational complexity that thwarted innovation for decades is simply following them into the cloud. Developers responsible for building today’s apps have to work with a patchwork of technologies, data models, APIs, and languages across disparate systems to deliver the right data at the right time to power critical applications and services. To better serve these developers, we’ve expanded our capabilities outside of the core database into a robust data platform we call MongoDB Cloud . At its core is MongoDB Atlas, our fully managed global cloud database, which enables your developer teams to spend less time on undifferentiated work and more time writing code that adds business value. By adding capabilities such as Atlas Search , Atlas Data Lake , MongoDB Charts and MongoDB Realm , which provide a consistent experience for working with data in different ways, you’re drastically reducing the cognitive burden on development teams. Simply put, MongoDB Cloud allows you to easily deploy, manage, and scale data architectures designed to support the converging requirements of transactional and analytical systems within a single elegant platform. Any cloud, anywhere, anytime The pandemic has put a spotlight on resilience and agility and showcased the importance a data platform can have for your business. This has not only accelerated the migration to the public cloud, but also the move to multi-cloud environments. Many of our customers rely on more than one cloud provider, and 55 percent of organizations currently report using multiple public clouds . That’s why we designed our offerings to have the same great developer experience regardless of which cloud provider or providers you use. Since launching in 2016, MongoDB Atlas has always pushed the boundaries of what’s possible in cloud data management, with customers able to deploy their data from more than 75 regions worldwide across AWS, Azure, and Google Cloud. And with the recent launch of multi-cloud clusters on MongoDB Atlas, we’ve recast the cloud and development experience again. With this first-of-a-kind capability, companies gain the ability to distribute their data in a single cluster across multiple public clouds simultaneously, or move workloads seamlessly between them. This is true data portability, enabling the freedom and flexibility to use best-of-breed services across multiple platforms, and ensuring cross-cloud resiliency. But we’re not standing still. Introducing Online Archive on MongoDB Atlas Today, we are announcing more innovations that unleash the full potential of business data, beginning with the general availability (GA) of Online Archive for MongoDB Atlas. With Online Archive, you can seamlessly tier your data across fully managed databases and cloud object storage, all while retaining the ability to query it through a single endpoint. Users can create a rule to automatically archive infrequently accessed data in their MongoDB Atlas clusters onto their object store, eliminating operational complexity and transactional data storage costs. All users on dedicated clusters (M10+) can use Online Archive regardless of which cloud provider they are using to run Atlas. If you want to learn more or see if Online Archive could help your organization, watch our deep-dive technical session , which is available on demand and features a live Q&A on Wednesday, Dec. 2 from 3:30-4pm ET. Online Archive gives me the flexibility to store all of my data without inucrring high costs, and feel safe that I won't lose it all. It's the perfect solution. Ran Landau, CTO, Splitit The power of choice Empowered developer teams around the world turn to MongoDB Atlas on their preferred cloud to deliver mission-critical services to their businesses faster. Here are a few customer success stories that are near and dear to our hearts: Ludo King : The small but mighty team of developers behind India’s favorite mobile game, Ludo King, turned to MongoDB Atlas and MongoDB Realm on AWS. The results? They’ve been able to keep building new, revenue-generating features for the game’s half a billion players, while efficiently managing near instantaneous 1000% growth. Toyota Materials Handling Europe : While building the connected warehouses of the future, Toyota Material Handling needed a database as flexible and powerful as MongoDB Atlas, running on Azure, to break down their monolith and transition to a microservices architecture. Boxed : Grocery delivery wholesaler Boxed built its platform on MongoDB Atlas on Google Cloud to accommodate the soaring demand for goods and services due to the pandemic. As brick-and-mortar retailers struggled to keep up with demand, Boxed saw a 30x spike in demand, which they were able to handle because of MongoDB’s powerful data platform. Get started with MongoDB Atlas today. And make sure you take advantage of all the opportunities to explore MongoDB at AWS re:Invent 2020 .
MongoDB Atlas Arrives in Italy | MongoDB Atlas Arriva in Italia
We’re delighted to announce our first foray into Italy with the launch of MongoDB Atlas on the AWS Europe (Milan) region. MongoDB Atlas is now available in 20 AWS regions around the world, including 6 European regions. Milan is a Recommended Region , meaning it has three Availability Zones (AZ). When you deploy a cluster in Milan, Atlas automatically distributes replicas to the different AZs for higher availability — if there’s an outage in one zone, the Atlas cluster will automatically fail over to keep running in the other two. And you can also deploy multi-region clusters with the same automatic failover built-in. We’re excited that, like customers in France, Germany, the UK, and more, Italian organizations will now be able to keep data in-country, delivering low-latency performance and ensuring confidence in data locality. We’re confident our Italian customers in government, financial services, and utilities in particular will appreciate this capability as they build tools to improve citizens’ lives and better serve their local users. Explore Atlas on AWS Today In Italian, courtesy of Dominic: Siamo lieti di annunciare la nostra espansione in Italia rendendo disponibile MongoDB Atlas nella regione AWS Europa (Milano). MongoDB Atlas è ora disponibile in 20 regioni AWS nel mondo, comprese 6 regioni europee. Milano è una Recommended Region ; questo significa che ha tre Availability Zones (AZ). Quando viene creato un cluster a Milano, Atlas distribuisce automaticamente le repliche sulle diverse AZ per aumentare la disponibilità e l’affidabilità — nel caso in cui avvenga un disservizio in una zona, il cluster Atlas utilizzerà la funzionalità di failover per restare in esecuzione sulle altre due. Eventualmente è anche possibile creare cluster multi-region che incorporano la stessa logica di failover automatico. Siamo felici che anche le realtà italiane possano scegliere, come i nostri clienti in Francia, Germania, UK, ed altrove, di mantenere i propri dati all’interno dei confini nazionali, dando risposte a bassa latenza ai propri utenti ed assicurando loro la fiducia nella localizzazione fisica dei dati. Siamo sicuri che i nostri clienti in Italia, in particolare nel settore pubblico, nei servizi finanziari, e nelle utilities, apprezzeranno queste nuove possibilità per la creazione di nuovi strumenti per migliorare la vita dei cittadini e servire meglio i loro utenti in Italia. Scopri subito Atlas disponiblie su AWS
Introducing Multi-Cloud Clusters on MongoDB Atlas
One of the core pillars of MongoDB is the freedom to run anywhere. Since 2017, organizations have been able to use MongoDB Atlas , our fully managed global cloud database, across 70+ regions on the cloud provider of their choice: AWS, Azure, or Google Cloud. We’re increasingly seeing customers run independent workloads on different clouds — a common practice among enterprises with different applications and business units. However, we believe the real power of multi-cloud applications is yet to be realized in our industry. So today, I’m proud to announce that multi-cloud clusters are generally available on MongoDB Atlas! With this groundbreaking capability, customers can distribute their data in a single cluster across multiple public clouds simultaneously, or move workloads seamlessly between them. Data — traditionally the hardest piece of an application stack to move — is now the easiest. A New Multi-Cloud Paradigm More organizations are moving towards a multi-cloud model , and they want the freedom and flexibility to use the best of each cloud provider for any and every application. The question is how engineering teams can do this efficiently and deliberately while dealing with challenges such as incompatible operations and the effects of data gravity . Read our eBook, Why the World is Going Multi-Cloud , for a high-level guide to today's fast-emerging cloud architecture. Download Now With multi-cloud clusters on MongoDB Atlas, customers can realize the benefits of a multi-cloud strategy with true data portability and a simplified management experience. Developers no longer have to deal with manual data replication, and businesses can focus their technical resources on building differentiated software. This opens up a whole new set of possibilities that were previously difficult ― if not impossible ― to achieve, from being able to use best-of-breed services across multiple platforms to data mobility and cross-cloud resiliency. Use best-in-class technology across multiple clouds in parallel Developer productivity is critical to a company’s success, and CTOs know that enabling their teams to choose the best technology available is a major contributing factor. With MongoDB Atlas, developers get more freedom in deciding what building blocks to use, regardless of which cloud is storing application data. Some examples of popular cloud services that our customers like to use include AWS Lambda , Google Cloud AI Platform , and Azure Cognitive Services. With multi-cloud clusters, developers can now run operational and analytical workloads using different cloud tools on the same dataset, with no manual data replication required. Migrate workloads across cloud environments seamlessly Data mobility is another reason companies want a multi-cloud strategy. The world is constantly changing, and businesses never know if, or how, their cloud requirements are going to change. They may face mergers and acquisitions, be subject to new regulatory controls for data portability, find themselves in direct competition with a cloud provider, or find significant cost savings on another platform. With MongoDB Atlas, organizations can future-proof their applications and have the option to move them from one cloud to another if needed, without undergoing a costly data migration. Our built-in automation seamlessly handles cross-cloud data replication on a rolling basis so applications stay online and available to end-users. Improve high availability with cross-cloud redundancy Any business with a mission-critical or user-facing application knows that downtime is unacceptable. Cloud disruptions vary in severity, from temporary capacity constraints to full-blown outages, and organizations need to mitigate as much risk as possible. By distributing data across multiple clouds, they can improve high availability and application resiliency without sacrificing latency. MongoDB Atlas extends the number of locations available by allowing users to choose from any of the nearly 80 regions available (with more coming) across AWS, Azure, and Google Cloud — the widest selection of any cloud database on the market. This is particularly relevant for businesses that must comply with data sovereignty requirements , but have limited deployment options due to sparse regional coverage on their primary cloud provider. In some cases, only one in-country region is available, leaving users especially vulnerable to disruptions in cloud service. For example, AWS and Google Cloud each offer only one region in Canada. With multi-cloud clusters, organizations can take advantage of both regions, and add additional nodes in the Azure Toronto and Quebec City regions for extra fault tolerance. With MongoDB Atlas, customers no longer need to make a trade-off between availability and compliance. Reach more users with flexible deployment options In order to deliver a world-class application experience, organizations must at a minimum meet end-user requirements for their products and services. For SaaS providers and B2C businesses, this may include cloud provider preferences or regional availability. While each of the cloud providers offer a large and growing list of regions globally, their data centers are still heavily concentrated in the USA, Europe, and eastern Asia. If multinational enterprises want to reach local users in other areas, they may not always find coverage on a single cloud. For example, AWS is the only provider to offer a cloud region in Bahrain, Azure Oslo is the only option in Norway, and only Google Cloud has data centers in Indonesia. To capture more global market share, companies may need a multi-cloud strategy to meet customers where they are. An Integrated, More Secure Cloud Data Platform MongoDB has consistently delivered innovations in the data management experience, including automated data tiering with Atlas Online Archive , integrated full-text search with Atlas Search , and Client-Side Field Level Encryption (FLE) for some of the strongest levels of data privacy available today. Client-Side FLE currently works with AWS Key Management Service (KMS), and will soon offer beta support for Azure Key Vault and Google Cloud KMS. With this expansion, it will be easier for organizations to further enhance the privacy and security of sensitive and regulated workloads across all major public cloud platforms. Read our guide to learn more about how Client-Side Field Level Encryption protects data in MongoDB. Download Now Multi-Cloud Data Management Made Easy Multi-cloud distribution can be enabled for both new and existing clusters starting today via the Atlas UI. Multi-cloud clusters come with all the features that our customers know and love, including built-in security defaults , fully managed backup and restores , automated patches and upgrades , intelligent performance advice , and more. While multi-cloud clusters are generally available, we are planning on releasing more capabilities in the coming months to deliver even more value to you. Whether you’re a startup just getting off the ground or a global enterprise in the midst of a multi-year cloud transformation initiative, our multi-cloud database solution abstracts away the toughest roadblock to unlocking your multi-cloud strategy. When your data can travel across clouds, there’s no limit to what you can build. Let us know where multi-cloud clusters on MongoDB Atlas take you - or tell us what you need to get there .