Cara Heimbaugh

9 results

MongoDB Donates Laptops to Metropolitan School - Frankfurt

MongoDB has teamed up with one of its customers, Cyntegrity , to provide 20 MacBook Air laptops to the Metropolitan School - Frankfurt (MSF). This step is part of an initiative to support the school’s students, including Ukrainian refugees who are studying there after leaving their home country due to instability created by war . Cyntegrity is a German-based, risk-based quality management software company as well as a customer of MongoDB. Cyntegrity has a strong focus on education, and Artem Andrianov , the company’s CEO, has been a vehement supporter of those affected by the Russian invasion of Ukraine since the conflicts began in February 2022. Support for Ukraine Andrianov has positioned Cyntegrity to support displaced Ukrainians as well as those who actively work to aid in conflict zones. At the start of the conflict, Cyntegrity outlined their initial plan of support, including: Hiring Ukrainian software developers, IT specialists, and software testers who have arrived in the European Union. Making regular donations to Doctors Without Borders, which regularly treats victims in conflict zones. Offering relocation packages to all employees affected by the conflict. Developing The Butterfly Challenge , a program aimed at collaborating to make a difference and add value to the world around us all. Knowing that Andrianov and Cyntegrity are always looking for ways to help displaced Ukrainian people, MongoDB employees Kevin Litwiak, Ladi Olusola, and Dayana Nikolova worked to procure the laptops and get them into the hands of people who could use them as learning tools. Laptops for learning Through collaboration with leadership at the MongoDB New York City headquarters, 20 laptops were collected and then distributed to MSF with the help of Andrianov, who worked behind the scenes to find an institution that would be able to use the laptops to support refugee aid efforts. The laptops, pre-loaded with MongoDB, arrived at MSF with an aim to provide all students, including refugee-status students, with the technology they need to learn and to stay connected with family and friends as they enter a new life in Europe. “This donation has been fabulous in improving our secondary school IT equipment,” said Tatyana Bogushevitch, head of marketing at Metropolitan School Frankfurt. “The laptops support the learning of all Secondary School students, including all our Ukrainian students. This donation is positively impacting the education of 350 students.” Other ways to help Ukrainian refugees Even as headlines focus on other topics, Ukrainian people are still being displaced and attempting to flee conflict for a stable life in other countries. The United Nations has reported that there are currently 5.2 million Ukrainian refugees who have fled their country and still need help. Here are ways to support Ukrainian refugees across the globe: Consider housing a refugee. Currently, most Ukrainian refugees have relocated largely to Poland, Germany, Romania, Moldova, Hungary, and Slovakia. You can register your interest in housing refugees by visiting Homes for Ukraine . You can find opportunities to volunteer in local Ukrainian efforts by visiting Refugee Council USA . You can donate to a variety of nonprofits working to support refugees as they migrate and after they settle. Visit the Save Ukraine website to learn more. About Metropolitan School - Frankfurt Metropolitan School - Frankfurt is an IB World School with a clear international profile offering an outstanding, inspirational education. Students are inspired to become well-rounded, independent thinkers equipped with the skills, knowledge, and understanding to master the challenges of the future. Metropolitan School - Frankfurt has developed multiple initiatives to support Ukrainians as they are welcomed in Germany. Through its school kitchen — in cooperation with Werksküchen Catering and the volunteer time of teachers — it provides daily food supplies for up to 200 refugees per day, including snacks, fruit, and a hot meal for the arrivals after their long journey. The school also provides some daily necessities for refugees. If you would like to assist in these efforts by the school, you can: Donate personal products and daily necessities from this list of needed items . Visit Global Citizen for a list of various ways you can take action to show support for Ukraine. Donate to MSF to support their meal program or reach out to the institution for more details. About Cyntegrity Cyntegrity has created a fully automated, centralized risk management cloud platform for improving patient safety, data integrity, and clinical trial transparency. Its vision is based on three main pillars: Control of risks, performance, and data quality Application of the latest data mining technologies to gain new knowledge about the data Follow up on the identified risks until resolution and development of a risk-based strategy for a focused use of resources are available for a trial Cyntegrity’s intelligent RBQM solution has evolved in progressive ways over time and opened the opportunity for BioPharma to optimize the clinical trial operations with the GCP-driven workflow, predictive analytics, and intelligence of the specialized algorithms. About MongoDB MongoDB helps companies get their ideas to market faster with a developer data platform built on the leading modern database. Support transactional, search, analytics, and mobile use cases while using a common query interface and the data model developers love. Headquartered in New York, with offices across North America, Europe, and Asia-Pacific, and a workforce that is now mostly remote, we are close to where you do business. MongoDB has more than 37,000 customers in more than 100 countries. The MongoDB database platform has been downloaded over 300 million times and there have been more than 1.5 million MongoDB University registrations. You can try MongoDB Atlas for free by registering today . MongoDB is also working to help support the people of Ukraine during this time. For those in Ukraine, MongoDB is offering free Atlas credits to a project called Unterkunft Ukraine , which helps refugees fleeing Ukraine find temporary housing. The company is also making MongoDB Atlas credits available for organizations that are developing software projects to help alleviate the current humanitarian crisis in Ukraine. If you are working on a project that provides assistance in the region, fill out the application to apply for free MongoDB Atlas credits.

December 8, 2022

4 Ways MongoDB Enhances Your Google BigQuery Experience

>> Announcement: Some features mentioned below will be deprecated on Sep. 30, 2025. Learn more . MongoDB and Google Cloud continue to build on their partnership, with MongoDB enhancing Google Cloud with pay-as-you-go abilities, unified billing, and integrations with multiple different GC features, including BigQuery . And, when it comes to data architecture, BigQuery and MongoDB are two products that are better together. Google BigQuery and MongoDB are better together Google’s serverless data warehouse, BigQuery, was launched in 2011 with an aim to enhance business agility as their cloud-native data warehouse. BigQuery allows for fast queries that can uncover insights using familiar SQL. When MongoDB is added to the database technology stack as a complementary technology, it enhances the breadth of capabilities for the developer across a variety of use cases, including the following four examples. Combined impact of the Enterprise Data Warehouse and the Operational Data Store BigQuery is best suited as an Enterprise Data Warehouse (EDW), meaning it is designed to optimize long-running analytics. MongoDB Atlas , on the other hand, is best suited as an Operational Data Store (ODS), designed to optimally support high throughput and highly concurrent real-time operational applications that demand random access to an entity’s data in native JSON. This combination means that BigQuery and MongoDB are complementary technologies that can jointly deliver more value — each delivering on their strongest qualities. BigQuery excels at long-running queries, while Atlas handles the real-time operational application needs with thousands of concurrent sessions and millisecond response times. Enriched end-customer experiences BigQuery enables data scientists and analysts with machine learning (ML) models and BI tools for structured and semi-structured data at scale. For roles that need results with a turnaround time of a day or more, BigQuery is a strong tool for big data queries. With MongoDB Atlas, engineers and development teams can build applications faster and handle highly diverse schema, query, and update patterns, adapting to demanding user needs and competition. Atlas can also deliver the real-time or less than 24-hour queries that are necessary to keep your business operational. Additionally, data can easily move back and forth between the two platforms, creating a prime combination for running analytics on operational data. Being able to unlock the full potential of your data across your organization means that everyone has the insight into the business metrics they need, when they need it. This allows quicker decision making, as well as stronger and more accurate reporting. Extensibility to MongoDB Atlas features On top of the value and synergy that can be realized by a BigQuery+Atlas combination, other Atlas features can help enhance the usefulness and sophistication of a data architecture, such as: Atlas Charts can be leveraged to create rich visualizations of any data stored within Atlas. Atlas Triggers and Alerts can apply database logic in response to events or on a predefined schedule. Atlas Search brings full-text search at scale to all data across MongoDB and BigQuery alike. Atlas Data Federation enables aggregating data across multiple data sources, such as Atlas clusters and HTTPS endpoints, and transforming it into analytical formats (e.g., Parquet). This means you can not only access data in real-time, but you can also analyze it in a visual, user-friendly way. This functionality makes your data more actionable, allowing you not only to answer questions about your business data but also make better predictions and future adjustments based on it. Furthermore, being alerted to certain data-based events and triggering new actions based on that information means you can have your data working more efficiently for you, freeing up time to innovate and focus on core business competencies. Lastly, this approach simplifies your data lifecycle, so JSON data from various applications and endpoints can easily be transformed and consumed for rich analytics. Deeper understanding of your customer Businesses can use fully managed MongoDB Atlas to store customer 360 profiles. A 360-degree view of a customer allows businesses to track an individual customer’s journey across multiple channels, devices, purchases, and interactions, and improves customer satisfaction. With the combination of Atlas and BigQuery, businesses can also use compiled data — such as, transactional data, behavioral data, user profile and segmentations, and business analytics — to match user profiles with products and services using Artificial Intelligence (AI). Vertex AI , a managed machine learning platform, provides all the Google cloud services in one place to deploy and maintain AI models. Being able to easily access a 360 view for each customer and have automation around their customer journey helps with customer engagement and loyalty by improving customer satisfaction and retention through personalization and targeted marketing communications. It also enables retailers to aggregate customer interactions across all channels and identify valuable new customers. Google BigQuery and MongoDB Atlas in the real world Current , a leading U.S. challenger bank, uses innovative approaches, services, and technologies to serve people overlooked by traditional banks, regardless of age or income level, to help improve their financial outcomes. To help create customer experiences that cannot exist in traditional systems, Current chose to leverage Google Cloud, including BigQuery, with MongoDB layering the platform to achieve their goals. Read Full Current Story Are you a Google BiqQuery customer that is curious about how MongoDB Atlas can amplify your existing data warehouse or data lake architecture? Try MongoDB Atlas for free today and spin up your first workload in minutes. Try pay-as-you-go Atlas on GC Marketplace

December 1, 2022

Introducing the Next Generation of MongoDB Education

MongoDB University has always offered developers free, self-paced, on-demand ways to learn MongoDB and advance their careers. Now MongoDB has launched an enhanced University experience, with a rollout of new courses and features, and a seamless path to MongoDB certification to help take your skills and career to the next level. “MongoDB has always been a developer-first company. But it’s one thing to say that and support the current generation of developers and MongoDB users, it’s another to play a larger role in molding the developers of the future,” says Mark Porter, Chief Technology Officer, MongoDB. “Developers have gone from being a curiosity when I began my career to becoming a boardroom priority. If software and applications are the currency of the modern day economy, development teams are the market makers, and we want to support them on this journey.” Announced at our annual .local London developer conference, the new learning experience makes it easy to quickly pick up knowledge, develop a fundamental MongoDB skillset, and get certified. Beginning November 15, you can discover: New courses that make it easy to learn how to use MongoDB in the context of your preferred programming language, including Python, C#, Java, and Node.JS New discounts and incentives to support your growth. Now, any time you complete a new developer learning path , you will receive a 50% discount on the Associate Developer certification exam fee. And as always, all course content is free. Easier accessibility to course videos - registration is no longer required! Those who do register gain access to hands-on labs, quizzes, and certifications, as well as the ability to track their progress. Language Subtitles for all new courses . Chinese (Traditional and Simplified), Korean, Spanish, French, and Portuguese subtitles are now available. Short form content on newer features . Try our new “Learning Bytes” to build knowledge on MongoDB in 20 minutes or less. An enhanced certification experience with 24/7 exam access and robust study materials, including videos, study guides, and practice questions. Additionally, MongoDB University now offers course certificates and digital certification badges through Credly that strengthen your professional profiles on LinkedIn, and can be shared across Twitter and Facebook. Adding these badges will enhance your opportunities for roles that require MongoDB experience and enter you into the Credly talent pool, making you visible to recruiters and hiring managers looking for specific certifications. Updated labs that provide guided, hands-on activities that allow you to practice what you’ve learned and see real-time results of your work. Getting started with MongoDB University Badges Previous certifications continue to be valid and will now include digital badges, so be on the lookout for an email from our badging partner, Credly. You can then accept your MongoDB Certified badge and share it on LinkedIn, Twitter, and Facebook. When you accept, you will also be included in the Credly Talent Directory , which enables recruiters, hiring managers, and others to connect with you about opportunities based on the specific digital credentials you’ve earned. In-progress learning If you currently have in-progress courses with MongoDB University, those courses must be completed by December 1st in order to have your certificate transfer to the new University experience. If you don’t complete a course by the deadline, that course will still be available in the new University, but your progress will not be transferred. Ready to explore all the new possibilities? Get started with the next generation of MongoDB University today. Start learning today !

November 15, 2022

Top 5 MongoDB Podcast Episodes in 2022 (so far)

At MongoDB, one of our core values is to be focused on building together. One way we lean into this value is by bringing some of the best voices and stories from the database and tech communities onto our podcast. Podcasts help communities learn and connect. So as we head toward the end of the year, let’s take a look back—or, perhaps, a listen back—to our top episodes based on listens from The MongoDB Podcast so far in 2022. Episode 107 - Introduction to WiredTiger with Dr. Michael Cahill Dr. Michael Cahill co-founded the WiredTiger company and the storage engine by the same name. In our most-listened to episode from 2022 so far, Dr. Cahill sits down with Michael to talk about the storage engine, its strengths and capabilities, and a little about his journey as a database industry legend. Episode 108 - Exploring Postman with Arlemi Turpault In this episode of the MongoDB Podcast, Michael Lynn discusses Postman with Arlemi Turpault, Senior Developer Advocate at Postman. Postman is an application used for API testing. It is an HTTP client that tests HTTP requests, utilizing a graphical user interface through which we obtain different types of responses that need to be validated. Episode 109 - Prisma and MongoDB - Better Together Prisma is an open source ORM for Node.js and TypeScript that helps developers build faster and make fewer errors. On this episode, host Mike Lynn sits down with Nikolas Burk and Matt Miller of the Prisma team to discuss the Prisma + MongoDB launch week. Burk is a Developer Advocate and Miller is a Product Manager at Prisma, and together they outline what Prisma is now capable of with MongoDB support, including effects on developer workflows and efficiency. Episode 106 - Securing the Internet with Josh Aas, Sarah Gran of ISRG In this episode of the podcast, Michael talks with Josh Aas and Sarah Gran of the Internet Security Research Group (ISRG). They walk listeners through their mission to secure the internet through projects like Let's Encrypt , the automated digital certificate authority, and Prossimo , which focuses on transforming risks around memory safety in popular open source projects. MongoDB World Series Our number five blog so far in 2022 was a preview of MongoDB World. But why listen to a preview when you can dive into the actual event? Live at MongoDB World 2022, host Michael Lynn met with a variety of customers, partners, and experts on-site in New York City. Those conversations formed a great series filled with stories, learning and community. Check out the series episodes: Ep. 121 The MongoDB World Series - Oli Proulx from ChargeHub Ep. 120 The MongoDB World Series - Simcha Coleman from Inspirit Ep. 119 The MongoDB World Series - David Sarabia from inRecovery Ep. 118 The MongoDB World Series - Nick Gamble from Unqork Ep. 117 The MongoDB World Series - Beray Bentesen from Qubitro Ep. 116 The MongoDB World Series - Vatsal Singhal from Ultrahuman Subscribe to The MongoDB Podcast wherever you listen to your podcasts so you can stay up to date with all our new episodes, dropping weekly. And if you are a tech expert or enthusiast with a passion for sharing your thoughts, opinions, and stories, connect with Michael Lynn to discuss a podcast guest opportunity.

September 30, 2022

How to Leverage Enriched Queries with MongoDB 6.0

MongoDB introduces useful new functions and features with every release, and MongoDB 6.0, released this summer, offers many notable improvements , including deeper insights from enriched queries via the MongoDB Query API . This set of query enhancements was announced at MongoDB World 2022 by senior product manager Katya Kamenieva. You can watch her presentation below. Watch Kayta Kamenieva’s MongoDB World presentation on queries. Users can now use upgraded operators and change stream features. In this post, we’ll look at several of these updates, along with examples of how you can put them to use. Top N accumulators With this new feature, users can compute top items in each group based on the sort criteria ( $topN , $bottomN ), current order of documents ($firstN, $lastN), or value of a field ( $manX , $minN ). This functionality would be useful, for example, if you have a collection of restaurants with ratings, and you want to see the top three highest-rated restaurants based on the type of cuisine. You can group by cuisine and use $topN to return the top three restaurants by rating. Ability to sort arrays The ability to sort an array allows users to sort elements in the array. For example, suppose you have posted content with hundreds of user comments, and you want to sort the comments based on how many likes they received. In this case, $sortArray can pull those comments and prioritize them to the top of the comments list. Densification and gap-filling These new additions to the aggregation framework help to build out time series data more completely. When attempting to create histograms of data over time, the new stages, $denisfy and $fill , allow you to fill gaps in that data to create smoother and more complete graphs using linear interpolation, last/next observed value carried forward, or a constant value. This capability can be helpful, for example, if you want to create a graph that shows the amount of inventory in a warehouse every day for a year, but the inventory was only recorded once a week. The $densify expression will fill the gaps in the timeline, while $fill will produce values for the inventory data based on the previous observation. Joining sharded collections With this new feature, when joining collections using $lookup or performing recursive search with $graphLookup , collections on both sides can be sharded. Before 6.0, only the originating collection could be sharded. An example use case is enriching records in the “accounts” collection with the list of the corresponding orders that are stored in the “orders” collection. In the past, only “accounts” collections could be sharded. Starting with 6.0, both “accounts” and “orders” collections can be sharded. Change streams pre- and post-images Change streams now offer point-in-time (PIT) pre- and post-image capabilities , allowing users to include the state of the document before and after changes in the output of the change stream. This functionality can be useful in many situations. For example, suppose a company is tracking flight times. If a flight is delayed, the system can compare the value of the departure and arrival times both before and after that delay and trigger an automatic rewrite of the schedule for the new flight timeline, including schedules for the entire crew. Atlas Search across multiple collections This improvement to MongoDB Atlas Search allows users to search across multiple collections with a single query using $search inside the $unionWith or $lookup stages. $search can provide these results quickly, using only one query. Enriched queries are not the only improvements in MongoDB 6.0. Read about the 7 reasons to upgrade to MongoDB 6.0 and discover the possibilities. Try MongoDB Atlas for Free Today

September 20, 2022

Moving From Monolith to Microservices: Mark Porter and Accenture’s Michael Ljung Explain

The first step in digital transformation for many organizations is to migrate from legacy on-premises environments and move as many workloads as possible into the public cloud. As seen in the first in our series of conversations between Mark Porter, CTO of MongoDB, and Michael Ljung, Accenture ’s Global Lead, Software Engineering, Accenture Cloud First, this is not always easy, but with the right tools and planning, that migration can reap great benefits. The next step in many organizations’ transformation is to dismantle their monolithic applications — which often limit businesses’ ability to quickly innovate — and move to applications built on a microservices architecture. Many organizations are already well on their way. Research shows that 36% of large companies, 50% of medium companies, and 44% of small companies are already using microservices in their production and development. To explain this migration away from the monolith, Porter and Ljung sat down to discuss the benefits of microservices, how to size those services properly for best results, and how an Accenture customer used a microservices approach to quickly roll out new features to help provide COVID-19 vaccinations. Watch their full discussion: Why microservices? Although teams choose a microservice architecture for a variety of reasons and use cases , one driving force is that businesses now rely so heavily on software for competitive advantage that they require a more rapid development cycle for new releases. A monolithic approach does not support the fast time-to-market cycles needed, nor does it provide the working environment developers need to speed the release process. In their conversation, Porter and Ljung cover several benefits of moving away from the monolith and adopting microservices at the proper size, including the following: Microservices align to how humans work best together. A large, monolithic codebase leads to complexity and creates immense cognitive loads for the developers. They offer protection from complete downtime. Microservices allow for compartmentalization to avoid a single point of failure. By contrast, with a monolithic application, if something goes wrong, everything goes wrong. They allow for better application scaling. With a microservices architecture, only the features that require extra performance need to be scaled. And they allow you to increase your speed to market. Some teams have reported that moving to microservices and containers saw a 13x increase in the frequency of software releases . Read the first installment in this cloud migration series, “ Migrating to the Cloud Isn't As Easy As Most People Think .”

September 1, 2022

Migrating to the Cloud Isn't As Easy As Most People Think: A Conversation With Mark Porter and Accenture’s Michael Ljung

Moving away from a legacy relational database and developing a strategy around your cloud journey can unlock value that is otherwise limited without a streamlined, simplified, and modernized cloud architecture. But that outcome is by no means guaranteed. Although the journey to the cloud is often painted as an easy path to simplicity, agility, and scalability, the quickest way to migrate, the lift-and-shift approach , can encourage organizations to arrive to the public cloud and begin deploying new software and resources without considering the complexity they can create — and without having solved for architectural considerations prior to migration. Think about packing for a big move. It’s a best practice to purge unnecessary items, clean, and organize, so you arrive at your new home with a better understanding of what you need, what you own, and how useful those items will be in your new place. Likewise, considerations around applications and database architectures are best addressed prior to migration. Without a proper migration strategy in place, businesses arrive in the cloud with the same complex architecture, an excessive amount of siloed data, and the weight of unnecessary applications. It’s the same organization with the same operations, only located in a new landscape. If your business is currently frustrated by the course corrections needed after a migration, partners like Accenture and MongoDB can help organize your cloud environment and your database architecture. MongoDB CTO Mark Porter recently sat down with Michael Ljung , Accenture’s global engineering lead, to discuss the benefits of cloud migration — and to get real about the challenges. According to Ljung, there are real and immediate benefits to migrating. For example, a study by Accenture found that customers were seeing a 10% cost savings stemming from migrating applications in a lift-and-shift fashion. But that number is small compared to the potential benefits of the cloud. Ljung says that it’s also important to replace the mindset of simple migration as the ultimate goal and to focus more on modernization, co-creating, innovating, and differentiating. This means thinking of the cloud in a new way. Migration is the start of a journey, not the final destination. It means refactoring, repurposing, replacing, or retiring applications altogether when necessary. This mentality also applies to database architectures in the cloud; many companies believe they can move their relational database to the cloud and database operations will automatically improve in terms of productivity. This is not realistic, and not the mindset for driving the best database strategy. Accenture helps client organizations assess their current cloud state and implement their MAGI methodology —that is, to modernize, accelerate, grow, and innovate. Learn more about modernizing your apps with MongoDB before beginning a cloud migration.

August 22, 2022

4 New MongoDB Features to Improve Security and Operations

Data platforms are designed to remove operational complexity and enable developers to move and innovate faster. For applications that are critical to your users and your business, the data platform powering them must also be reliable, scalable, and global. Achieving that should take minimal work, both upfront and on an ongoing basis. At MongoDB World 2022, we announced several new capabilities that further help organizations achieve operational excellence: Queryable Encryption , Cluster-to-Cluster Sync , Scheduled Archiving , MongoDB Atlas Operator for Kubernetes , and MongoDB Atlas Serverless . With the introduction of Queryable Encryption , MongoDB will be the only database provider that allows customers to run expressive queries such as equality and range, prefix, suffix, substring and more on fully randomly encrypted data, just as they can do on unencrypted data. This is a huge advantage for organizations that need to run expressive queries while also securing their data. Queryable Encryption reduces the heavy lifting involved when working with encrypted data, resulting in faster app development without undermining data protection or compliance with data privacy regulations. Not every organization is fully — or may ever be fully — in the cloud. Many businesses also leverage hybrid or multi-cloud environments. Cluster-to-Cluster Sync enables continuous, uni-directional, real-time data synchronization of two MongoDB clusters in the same or different environments — public cloud, private cloud, on-premises, and at the edge. MongoDB now supports, for example, hybrid Atlas and Enterprise Advanced deployments, wherein a cluster’s data can be synced from on-prem to Atlas, or vice versa. With Cluster-to-Cluster Sync, organizations have full control of the synchronization process. They can decide when to start, stop, pause, or resume your synchronization, or to reverse the direction of synchronization. And they can monitor the progress of the synchronization in real time. This new capability will enable greater experimentation and innovation, increase organizational insights, and help developers find more efficient ways to work with data. Use cases that benefit from having the data of two MongoDB clusters fully synchronized include data migration, enhanced development lifecycles, dedicated analytics, audit compliance, and improving latency by moving data to the edge. The MongoDB Atlas Operator for Kubernetes is the best way to use MongoDB with Kubernetes. With the Atlas Operator, developers can seamlessly integrate MongoDB Atlas into their Kubernetes deployment pipeline, controlling Atlas resources without leaving the Kubernetes control plane. They can also control Atlas projects, clusters, database users, backup policy, serverless instances, private network endpoints, and more. The operator is compatible with any certified Kubernetes distribution, including Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), Red Hat OpenShift, and dozens more. We are enhancing the Online Archive feature of Atlas with two new features: Data expiration and scheduled archiving. With data expiration, you can define and automate for how long you need the data stored in the online archive before getting deleted. With the scheduled archiving feature, you can set rules about the time window of when you want the archive to run. This could be daily, weekly or monthly. You can also edit the archive rule and define when you want to archive your data and when you want it deleted from the archive. One big trend in the developer world is removing operational overhead by moving to a managed database offering. This move away from day-to-day management and administration lets developers do what they do best — create. To this end, MongoDB has rolled out Atlas Serverless . With Atlas Serverless, server provisioning and management has been abstracted (hidden) from the customer or end-user of the service. This eliminates the cognitive load of sizing and scaling infrastructure to keep up with application demand. Instead of paying for idle resources, with Atlas Serverless, you pay for only what you use. By simplifying provisioning, Atlas Serverless helps organizations accelerate time to market and improve experiences for both developers and IT managers. All of these new features have been designed to help organizations improve their operational excellence, ensuring security, consistency, and scale while alleviating repetitive operational tasks for developers and IT managers. Learn more about MongoDB World 2022 announcements at mongodb.com/new and in these stories: 5 New Analytics Features to Accelerate Insights and Automate Decision-Making Closing the Developer Experience Gap: MongoDB World Announcements Streamline, Simplify, Accelerate: New MongoDB Features Reduce Complexity

June 7, 2022

Every Day Is Tax Day When Your Data Architecture Is Too Complex

Mid-April marks the deadline for filing income taxes in the United States. It’s a moment when the reality of your earnings for the year are made clear and you can see where your money comes from — and where it’s going. Our personal lives are not the only realm where taxation occurs. At MongoDB, we have seen how organizations with overly complex data architectures — whether a legacy system or a sprawl of cloud-native components, or a hybrid with messes on both sides — are paying a price: a tax on innovation. DIRT: The data and innovation recurring tax The data and innovation recurring tax, or DIRT, is fundamentally rooted in data, because huge amounts of data must be generated to support legacy database technologies. Modern applications use features such as real-time data to create rich user experiences, so developers must cobble together niche databases with cumbersome pipelines to move data between them. Or, organizations move some of their applications and data to the cloud, grabbing a bunch of off-the-shelf software that doesn’t work or play well together. The time developers spend creating workarounds? That’s a tax on innovation. Instead of working on new features that the business needs and customers will love, teams are stuck supporting complex, brittle architectures. And this is not a one-and-done tax. DIRT applies to every new project, making each one a little more difficult to manage and maintain as new components, frameworks, and protocols are added. Read more about the innovation tax in our white paper DIRT and the High Cost of Complexity . Complexity is the enemy of innovation When you pay income tax, you have some idea about how that money will be spent. Taxes support initiatives. But what does DIRT support? Nothing, except a spaghetti architecture that isn’t a sustainable foundation for your organization’s future. If your database is experiencing the symptoms of complexity now, what will the experience be like in one, five, or a dozen years? Complexity is a drain, plain and simple. The good news is, reducing complexity can turn that drain into a fountain. Removing DIRT improves the developer experience and hastens your time to market. It also leaves you with more opportunities to innovate — and more money to support those innovations. Complexity costs money — but how can you tell if your database is too complex? Our guide 10 Signs Your Data Architecture Is Holding You Back details the ways a creaky data architecture is taxing your team. We know that innovation is what separates the businesses of today from the businesses of tomorrow. Every day you are not innovating, some other organization is. This Tax Day, don’t let your legacy database and the price tag that comes with it hold you back.

April 15, 2022