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MongoDB Atlas for Government Achieves "FedRAMP In-process"

We are pleased to announce that MongoDB Atlas for Government has achieved the FedRAMP designation of “ In-process ”. This status reflects MongoDB’s continued progress toward a FedRAMP Authorized modern data platform for the US Government. Earlier this year, MongoDB Atlas for Government achieved the designation of FedRAMP Ready . MongoDB is widely used across the Federal Government, including the Department of Veterans Affairs, the Department of Health & Human Services (HHS), the General Services Administration, and others. HHS is also sponsoring the FedRAMP authorization process for MongoDB. What is MongoDB Atlas for Government? MongoDB Atlas for Government is an independent environment of our flagship cloud product MongoDB Atlas. Atlas for Government has been built for US government needs. It allows federal, state, and local governments as well as educational institutions to build and iterate faster using a modern database-as-a-service platform. The service is available in AWS GovCloud (US) and AWS US East/West regions. MongoDB Atlas for Government Highlights: Atlas for Government clusters can be created in AWS GovCloud East/West or AWS East/West regions. Atlas for Government clusters can span regions within AWS GovCloud or within AWS. Atlas core features such as automated backups, AWS PrivateLink, AWS KMS, federated authentication, Atlas Search, and more are fully supported Applications can use client-side field level encryption with AWS KMS in GovCloud or AWS East/West. Getting started and pricing MongoDB Atlas for Government is available to Government customers or companies that sell to the US Government. You can buy Atlas for Government through AWS GovCloud or the AWS marketplace . Please fill out this form and a representative will get in touch with you. To learn more about Atlas for Government, visit the product page , check out the documentation , or read the FedRAMP FAQ .

Mainframe Data Modernization with MongoDB Powered by Wipro's "ModerniZ" Tool

This post will highlight a practical and incremental approach to modernizing mainframe data and workloads into cloud-hosted microservices using MongoDB’s modern, general purpose database platform. Enterprises modernize their mainframes for a number of reasons—to increase agility, lower the risk of aging legacy skills, and reduce total cost of ownership (TCO). But the greatest underlying benefit and reason for modernization lies in a company’s ability to access and make sense of their own data more quickly. Gleaning valuable business insights through the use of real-time data and AI/ML models is at the heart of today’s most successful and innovative companies. Consider the following business processes and their reliance on real-time insights: Real-time fraud detection, KYC, and score calculation Supporting new API requirements – PSD2, Open Banking, Fintech APIs etc Payment pattern analysis Moving away from hundreds of canned reports to template-based self-service configurable reporting Real-time management reporting With the continued emergence of mobile and web apps, enterprises are looking to render content even faster, as well as scale up and down on demand. However, mainframes often serve as the true system of record (SoR) and maintain the golden copy of core data. In a typical enterprise, inquiry transactions on the mainframe contribute to over 80% of the overall transaction volume—in some cases up to 95%. The goal for organizations is to increase the throughput of these inquiry transactions with improved response time. However, during real-time transaction processing, middleware must orchestrate multiple services, transform service response, and aggregate core mainframe and non-core applications. This architecture prevents the legacy services from seamlessly scaling on-demand with improved response time. At the same time, CIOs have significant concerns around the risks of big bang mainframe exit strategies, especially in the financial services, insurance and retail sectors where these complex applications serve the core business capabilities. Wipro and MongoDB’s joint offering, “ModerniZ,” can help alleviate these risks significantly by introducing a practical, incremental approach to mainframe modernization. An incremental solution: Offloading inquiry services data with ModerniZ To keep up with changing trends in an agile manner, and to bridge the gap between legacy monoliths and digital systems of engagement, a tactical modernization approach is required. While complete mainframe modernization is a strategic initiative, offloading inquiry services data and making it available off the mainframe is a popular approach adopted by several enterprises. Below are a few business requirements driving mainframe data offload: Seamlessly scale volume handling by up to 5X Improve response time by up to 2X Reduce mainframe TCO by up to 25% Direct API enablement for B2B and Partners (change the perception of being antiquated) Improve time to market on new enhancements by up to 3X Provision separate security mechanism for inquiry-only services Access single view data store for intra-day reporting, analytics and events handling These business requirements, as well as the challenges in current mainframe environments, warrant an offloaded data environment with aggregated and pre-enriched data from different sources in a format which can be directly consumed by channels and front-end systems. This is where our joint offering for mainframe modernization with MongoDB and Wipro’s ModerniZ tool comes into play. ModerniZ is Wipro’s IP platform specially focused on modernizing the UI, services and data layer of System Z (Mainframe). ModerniZ has multiple in-house tools and utilities to accelerate every phase of the legacy modernization journey. Let’s dig deeper into the solution elements. "CQRS with ModerniZ" for transactional and operational agility Command Query Responsibility Segregation (CQRS) is an architectural principle that can prescribe an operation as a ‘command,’ which performs an action, or a ‘query,’ which returns data to the requestor—but not both. CQRS achieves this by separating the read data model from the write data model. Separation of these two operations in a business process helps optimize performance, reduce the cost associated with inquiry transactions, and create a new model which can grow vertically and horizontally. MongoDB, with its document model and extensive set of capabilities, is best suited to house this offloaded ‘read data model.’ MongoDB’s JSON/BSON document model helps in pre-enriching the data and storing it in ‘inquiry ready’ format which simplifies the overhead for the front-end consumers. Enterprise use cases for CQRS: Customer demographic information – e.g. monetary and nonmonetary transaction inquiries in banking and financial services Payer view – Healthcare Single view across policy administration engines and pricing engines Consolidated participant view in benefit administration platforms Single view of manufacturing production control systems across plants or countries The below process indicates the step-by-step approach in enabling CQRS by offloading the data and transactional volumes into a modernized landscape, and continuously syncing the data (based on the business criticality) across platforms. Figure 1. Mainframe data modernization process The visual below indicates the conceptual target architecture where the service delivery platform (API/Middleware layer) identifies and routes the transaction to the respective systems. Any update which happens in the legacy system will be cascaded to the target MongoDB based on the business criticality of the fields. Figure 2. Post data modernization process view Mainframe services will continue to get exposed as domain APIs via zCEE for the Command Services (Update Transactions) and the newly built microservices will serve the inquiry transactions by fetching data from MongoDB. Any data updates in the mainframe will be pushed to MongoDB. The below table indicates how different fields can be synced between the mainframe and MongoDB, as well as their corresponding sync intervals. Java programs/Spark consumes the JSON document from Kafka Cluster, merges into MongoDB and creates new documents. table, th, td { border: 2px solid black; border-collapse: collapse; } Sync Type Field Classsification Sync Strategy Type-1 Near Real Time Sync for critical fields Using Kafka Queues / CICS Event Triggers / DB2 / 3rd Pardy CDC Replicators / Queue Replicators Type-2 Scheduled Batch Polling sync for less critical fields Using Mini Intra-day Batch / Replicators / ELT Type-3 EoD Batch sync for non-critical fields Batch CDC Sync Sync / Update / ELT How MongoDB and Wipro's ModerniZ helps Wipro’s ModerniZ platform provides multiple tools to accelerate the modernization journey across phases, from impact analysis to design to build to deployment. For data modernization, ModerniZ has 5 tool sets like PAN (Portfolio Analyzer), SQL Converter, automated data migration, and so on—all which can be leveraged to yield a minimum committed productivity gain of 20%. Figure 3. Mainframe to cloud transformation using ModerniZ Why MongoDB for mainframe modernization? MongoDB is built for modern application developers and for the cloud era. As a general purpose, document-based, distributed database, it facilitates high productivity and can handle huge volumes of data. The document database stores data in JSON-like documents and is built on a scale-out architecture that is optimal for any kind of developer who builds scalable applications through agile methodologies. Ultimately, MongoDB fosters business agility, scalability and innovation. Some key benefits include: Deploys across cloud in nearly all regions Provides a document model that is flexible and maps to how developers think and code Costs a fraction of the price compared to other offloading solutions built using relational or other NoSQL databases and even a larger, sharded MongoDB environment brings magnitudes of savings compared to the traditional mainframe MIPS-based licensing model Allows complex queries to be run against data via an extremely powerful aggregation framework. On top of that, MongoDB provides a BI connector for dedicated reporting/business intelligence tools as well as specific connectors for Hadoop and Spark to run sophisticated analytical workloads Offers enterprise-grade management through its EA product and includes security features which cover all areas of security – authentication, authorization, encryption and auditing. Competitors often only offer a subset of those capabilities Provides a unified interface to work with any data generated by modern applications Includes in-place, real-time analytics with workload isolation and native data visualization Maintains distributed multi-document transactions that are fully ACID compliant MongoDB has successfully implemented mainframe offloading solutions before and customers have even publicly talked about the success (e.g. a top financial service enterprise in the EU) Roadmap and contact details Work in progress on offloading mainframe read workloads to GCP native services and MongoDB. Contact partner-presales@mongodb.com for more information.

Serverless Instances Now Offer Extended Regional and Cloud Provider Support

Today’s applications are expected to just work, regardless of time of day, user traffic, or where in the world they are being accessed from. But in order to achieve this level of performance and scale, developers have to meticulously plan for infrastructure needs, sometimes before they even know what the success of their application may be. In many cases, this is not feasible and can lead to over provisioning and over paying. But what if you could forgo all of this planning and the database would seamlessly scale for you? Well, now you can - with serverless instances on MongoDB Atlas. Since we announced serverless instances in preview at MongoDB.live we have been actively working toward implementing new functionality to make them more robust and widely available. With our most recent release, serverless instances now offer expanded cloud providers and regions, and support MongoDB tools. Deploy a serverless instance on the cloud provider of your choice With our dedicated clusters on MongoDB Atlas, you have the flexibility to run anywhere with global reach on the cloud provider of your choice, so you can deliver responsive and reliable applications wherever your users are located. Our goal is to provide this same flexibility for serverless instances. We’re happy to announce that you can now deploy a serverless instance in ten regions on AWS, Google Cloud, and Azure. You’ll see when deploying a serverless instance there are now more regions supported on AWS, as well as two available regions on both Google Cloud and Azure - so you can get started with the cloud provider that best suits your needs or the region that’s closest to you. We will be continuing to add new regions over time to ensure coverage where you need it most. Easily import your data with MongoDB tools With this release, we have also made it easier to work with your data. You can now easily import data from an existing MongoDB deployment using the MongoDB Tools including mongodump, mongorestore, mongoexport , and mongoimport . In order to use MongoDB tools with serverless instances, you will need to be using the latest version . If you have additional feature requests that would make your developer experience better, share them with us in our feedback forums . Database deployment made simple With serverless instances, you can get started with almost no configuration needed - MongoDB Atlas will automatically scale to meet your workload needs, whether you have variable traffic patterns or you’re looking for a sandbox database for your weekend hobby project. If you haven’t yet given serverless instances a try, now is a great time to see what they can offer. If you have feedback or questions, we’d love to hear them! Join our community forums to meet other MongoDB developers and see what they’re building with serverless instances. Create your own serverless instance on MongoDB Atlas. Try the Preview .

October 19, 2021

Capitalising on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB

10am BST | 11am CEST | 12pm IDT | 2.30pm IST The benefits of IoT have the recognised potential to unlock an entirely new set of mission critical use cases, and therefore business lines across nearly all industries. A successful IoT implementation not only means the possibility of delivering on a more robust go-to-market and revenue strategy, but also enabling a more complete end-to-end service offering for customers. But is all of this potential laden with risk? As the volumes of data being collected continue to increase exponentially, so too will the requirements to analyse, act upon, and deliver that data in real-time. Join us on October 19th at 10am BST for Capitalising on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB where you’ll hear from 3 major technology innovators on: How IoT is being shaped by consumer needs and modern technology innovators alike How to avoid the increasing complexity, technological debt and cost of data duplication and integration activities Why 5G Edge and lower latency processing and inference are drastically altering the market Who’s already expanding their go-to-market and revenue strategies by leveraging IoT technologies We'll be joined by panelists: Bala Thekkedath, Head of Product Marketing, AWS Wavelength, Amazon Web Services Dr. Stefan Ried, Principal Analyst & Practice Lead, Market Strategy, Cloudflight Steve Dalby, Principal, Industry Solutions, Telecommunications, MongoDB Gabriela Preiss, Sr. Industry Consultant, MongoDB

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October 19, 2021

Capitalizing on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB

9am PDT | 11am CDT | 12pm EDT The benefits of IoT have the recognized potential to unlock an entirely new set of mission critical use cases, and therefore business lines across nearly all industries. A successful IoT implementation not only means the possibility of delivering on a more robust go-to-market and revenue strategy, but also enabling a more complete end-to-end service offering for customers. But is all of this potential laden with risk? As the volumes of data being collected continue to increase exponentially, so too will the requirements to analyze, act upon, and deliver that data in real-time. Join us on October 19th at 11am CDT for Capitalizing on Connection: An IoT Discussion with AWS, Cloudflight, and MongoDB where you’ll hear from 3 major technology innovators on: How IoT is being shaped by consumer needs and modern technology innovators alike How to avoid the increasing complexity, technological debt and cost of data duplication and integration activities Why 5G Edge and lower latency processing and inference are drastically altering the market Who’s already expanding their go-to-market and revenue strategies by leveraging IoT technologies We'll be joined by panelists: Bala Thekkedath, Head of Product Marketing, AWS Wavelength, Amazon Web Services Dr. Stefan Ried, Principal Analyst & Practice Lead, Market Strategy, Cloudflight Steve Dalby, Principal, Industry Solutions, Telecommunications, MongoDB Gabriela Preiss, Sr. Industry Consultant, MongoDB

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Unmortgage your mortgage processes with data

Modernizing the mortgage process Historically, mortgages were one of the most paper driven processes in banking, affecting the overall customer experience. Today, with competition high for customers' signatures, the best rates alone are not the only thing being considered. Customers expect the ‘right here, right now’ experience and if they are unable to get this from one company, they will look for another. True differentiation is achieved through personalized engagements. These are created by utilizing the knowledge you have about the potential/current customer and putting this to use to tailor engagements to each individual. Loan Origination Systems are becoming a key component of the acquisition process. That change requires a different thinking for the line of business and the IT teams around them. In this on-demand panel discussion we will discuss: Things that make a customer relationship truly successful Value of real-time information at every touchpoint in the customer journey How to modernize the mortgage process and improve experiences Areas to accelerate your journey to a modern, flexible mortgage infrastructure You will hear from: Alex Hamilton , Deputy Editor FinTech Futures. Boris Bialek , Global Head of Industry Solutions, MongoDB Paul Holmes-Higgin , Chief Product Officer, Flowable By filling in this form you are agreeing to MongoDB sharing your details with Flowable who participated in this discussion.

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How to Prepare for Your Enterprise Account Executive Interview at MongoDB

At MongoDB, our Enterprise Sales team is growing rapidly as we strive to build a salesforce with a legendary reputation of excellence and integrity. Although we are eager to add new reps to our team, we are focused on ensuring we hire the right people for the job and that we’re the right company for you, too! Because of this, our interview process may not be as quick or look the same as other companies’. We feel confident that we’ve designed our interviews to uncover a mutually beneficial opportunity that will allow anyone who joins the team to look back on their time at MongoDB as a career-defining point in their lives. Our typical interview process includes three interviews, a sales profile assessment, and a final interview that we call “The Challenge”. Throughout these interviews we want you to meet as many people on our team as possible. Your interview panelists may include the Regional Director (RD) you’d directly report to along with RDs from other regions. You’ll also typically meet with a Regional Vice President or SVP depending on your location. We ultimately want you to be introduced and exposed to teams across the company so that you receive insight into our broader culture and can decide if MongoDB is the right fit for you. We recommend treating the recruitment process similar to a sales cycle including preparation, qualification, and closing. No matter the interview, you should be aware that all MongoDB Enterprise Account Executive interviews are around the three Whys: Why MongoDB? Why you? Why now? Why MongoDB We want to ensure that we can support your career growth at MongoDB. At each stage of the interview process, leaders will want to dig in on the three P’s: 1. People Our executive leadership team is made up of some of the best in the industry. To understand who is behind the success of the company and how they got here, we recommend looking into some notable MongoDB figures such as our Executive team and Board Members. Prior to each interview, you will receive a guide with the names of the managers you’ll be interviewing with. We recommend doing some research on these individuals and their team members, along with other Enterprise Account Executives at MongoDB. It’s likely that you’ll be asked about this research during your interview, so be prepared to discuss what you found. 2. Product The MongoDB data platform is complex which can make our sales process rather technical in certain use cases. While we don't expect you to come with database expertise, we do want to know why you have an interest and see the value in selling it! We recommend taking a look at our customer testimonials online to learn how MongoDB technology is applied. We also recommend researching our differentiators, which should help you understand why a C-Suite executive should buy MongoDB. Below are some resources to help you get started. MongoDB Technology Overview Why MongoDB Atlas 3. Process Come prepared to talk about your week, where you spend your time, and how you plan and prioritize your accounts. While our EAEs do handle some existing business, the main focus is on new pipeline generation as we continue to disrupt a huge market. Our Sales team follows the MEDDIC sales qualification methodology as well as our own internal sales process. This provides the team with a proven roadmap on how the most successful sellers have closed deals and promotes a common language within our teams across the globe. We recommend you speak to the sales and qualification process you follow currently and understand how they compare. Why you We’ve spent a lot of time defining our sales process and how our Enterprise Account Executives can be successful. Because of this, we’ve been able to determine what top-performing reps at MongoDB have done differently and what characteristics help them quickly develop and achieve great records of closed deals. Coachability: There’s a ton of enablement at MongoDB, and we want you to make use of it! If you enjoy coaching and development, this is a good environment for you. Drive: The database market is massive, and MongoDB owns less than 1% of it. To be successful, you’ll need grit, a competitive nature, and a drive to disrupt one of the largest addressable markets in the software industry. Street smarts: Although the MongoDB product is technical, there is still a very human element to the sales process. We look for people who have emotional intelligence, the ability to “read the room”, and are empathetic. Ability to build pipeline: It may seem obvious, but our top performers are great at generating business meetings that impact their number of deals closed. You’ll need to excel at and enjoy hunting new business! Champion building: We strongly believe in making long-lasting connections and look for individuals who can identify and build a MongoDB Champion within their customers. Why now We believe that timing is important and want you to feel confident in your decision to join MongoDB. We encourage you to think about the following: Do you feel ready to leave your current role? If so, why do you believe now is the right time for you to do so? What are you not receiving in your current role that you’re looking for in a new role? Do you feel confident in your decision to interview with MongoDB at this time? These are things that will be discussed during your interview process, and we hope that you can happily articulate why you believe MongoDB is the next step for your development and career. Interested in pursuing a career at MongoDB? We have several open roles on our teams across the globe and would love for you to transform your career with us!