MongoDB Atlas Online Archive for Data Tiering is now GA
We’re thrilled to announce that MongoDB Atlas Online Archive is now Generally Available. With Online Archive, you can seamlessly tier your data across Atlas clusters and fully managed cloud object stores, gaining the flexibility to set the perfect price to performance ratio across your data. Eliminate the need to manually migrate or delete valuable data. Simply set a rule on your Atlas cluster to automate data archival while retaining easy access to query all your data using a single connection string. With this capability, you can bring new and previously cost-prohibitive use cases onto MongoDB Atlas , our first-class managed offering, and manage your entire data lifecycle 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: Custom filters for your archival rules using a non-date based field Support for BYO Key Encryption on your archival data A dedicated connection string for archive-only queries Support for additional time formats 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 .
Announcing Azure Private Link Integration for MongoDB Atlas
We’re excited to announce the general availability of Azure Private Link as a new network access management option in MongoDB Atlas . MongoDB Atlas is built to be secure by default . All dedicated Azure clusters on Atlas are deployed in their own VNET. For network security controls, you already have the options of an IP Access List and VNET Peering . The IP Access List in Atlas offers a straightforward and secure connection mechanism, and all traffic is encrypted with end-to-end TLS. But it requires that you provide static public IPs for your application servers to connect to Atlas, and to list all such IPs in the Access List. And if your applications don’t have static public IPs or if you have strict requirements on outbound database access via public IPs, this won’t work for you. The existing solution to this is VNET Peering, with which you configure a secure peering connection between your Atlas cluster’s VNET and your own VNET(s). This is easy, but the connections are two way. While Atlas never has to initiate connections to your environment, some customers perceive VNET peering as extending the perceived network trust boundary anyway. Although Access Control Lists (ACLs) and security groups can control this access, they require additional configuration. MongoDB Atlas and Azure Private Link Now, you can use Azure Private Link to connect a VNET to MongoDB Atlas. This brings two major advantages: Unidirectional: connections via Private Link use a private IP within the customer’s VNET, and are unidirectional such that the Atlas VNET cannot initiate connections back to the customer's VNET. Hence, there is no extension of the network trust boundary. Transitive: connections to the Private Link private IPs within the customer’s VNET can come transitively from another VNET peered to the Private Link-enabled VNET, or from an on-prem data center connected with ExpressRoute to the Private Link-enabled VNET. This means that customers can connect directly from their on-prem data centers to Atlas without using public IP Access Lists. Azure PrivateLink offers a one-way network peering service between an Azure VNET and a MongoDB Atlas VNET Meeting Security Requirements with Atlas on Azure Azure Private Link adds to the security capabilities that are already available in MongoDB Atlas, like Client Side Field-Level Encryption , database auditing , BYO key encryption with Azure Key Vault integration , federated identity , and more. MongoDB Atlas undergoes independent verification of security and compliance controls , so you can be confident in using Atlas on Azure for your most critical workloads. Ready to try it out? Get started with MongoDB Atlas today! Sign up now