MongoDB and IONOS: Helping European Organizations in Regulated Industries Move to the Cloud

Oliver Wedell
August 18, 2022 | Updated: October 18, 2022
#Partners

As MongoDB continues to grow as a company, we remain focused on understanding our customers’ unique needs based on their industry and region, among other factors. With this in mind, we are excited to partner with German cloud provider IONOS to help European organizations in regulated industries harness the power of their data to build first-rate applications that also align with security, compliance, and sovereignty requirements.

"We want to offer our customers the opportunity to use best-in-class solutions,” said IONOS chief customer officer Martin Endreß about MongoDB becoming part of IONOS’s database-as-a-service offering.

“With MongoDB, we are now integrating with the global leader in the NoSQL segment,” he said. “In addition, our companies share fundamental values such as a commitment to full data portability and a rejection of vendor lock-in."

With more than 100K servers across 16 data centers, IONOS has a strong footprint in the public sector and other industries where cloud usage is constrained by compliance or data sovereignty needs. Now IONOS customers can drive application innovation in the cloud using MongoDB’s developer data platform while keeping control of their data, aligning with the strongest initiatives in digital sovereignty.

The popularity and promise of cloud computing has led an ever-increasing number of businesses to shift their infrastructures and software, including databases, to managed services, and highly regulated industries are no different. Compliance, security, and innovation need not be at odds with each other. Working together, MongoDB and IONOS provide developers with a platform that lets them build, deploy, and run applications securely.

MongoDB and IONOS are working closely to develop this new partnership — which is expected to be on offer in fall 2022 — and support customers during implementation. Both Enterprise Advanced and Community versions of MongoDB will be available with IONOS.

Learn more about finding a MongoDB partner or becoming one.

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How Trust and Collaboration Are Helping Intern Erin McNulty Take On New Challenges

Erin McNulty, a rising senior at Columbia University, is working as a software engineering intern in MongoDB’s New York City office. After interning at MongoDB during the summer of 2021, Erin returned this year to take on a new challenge on a new team — and a new programming language. Read on for more about Erin’s experience and how MongoDB’s engineering culture has enabled her to grow. Sammy Attia: Welcome back, Erin! I know this is your second summer internship at MongoDB. Can you share a bit about why you decided to join MongoDB in the first place and why you decided to come back? MongoDB intern Erin McNulty Erin McNulty: The first time I chose MongoDB, it was because throughout my interview process, I could tell that MongoDB really valued interns’ growth, so I felt like spending my summer here would be a really good investment. I knew that at MongoDB, I would have a meaningful project that truly helped me grow and would make an impact at the company. I also really enjoy the culture of the New York City technology scene, so I was really excited to receive an offer from a company that was created and headquartered in NYC. When I was deciding to come back to MongoDB the second time, I really prioritized working at a place that would let me explore different types of software engineering because I wanted to make the switch from web programming to systems programming. I knew that MongoDB’s supportive, learning-oriented environment would allow me to take that risk of trying something new. In addition, I have become really interested in database technology and took a few classes during my junior year, so I wanted to put that knowledge to use on the server team. It’s great to hear that you are able to explore different types of programming as a MongoDB intern. What does the service architecture team do? My team is responsible for building the “glue” that holds different components of the MongoDB server together. We build internal APIs that simplify intra- and inter-process communication within MongoDB deployments. In practice, this looks like building a lot of libraries that make networking, asynchronous programming, and remote command execution simple for replication, sharding, and other server teams to use. I have really enjoyed working on this team, because our job is basically to write clean, reusable code that makes other developers’ lives easier. I find it really satisfying to refactor messy, one-off pieces of code to use our libraries instead. Considering that you’re a two-time intern, what is your favorite part about MongoDB’s internship program? Interns are given a lot of trust at MongoDB, which allows us to not only learn technical skills, but also develop our working styles and take risks during the internship. As the summer has progressed, I have been given more and more trust in terms of designing my own solutions to issues without obvious solutions. Even if I make a decision that might not be the best way to solve the problem, I am given the space to discover and correct that on my own. Because of this, I feel like the MongoDB internship program has helped me grow as an engineer who is responsible for design and execution, not just as somebody who writes code that I am told to write. In addition, the internship has allowed me to explore different aspects of MongoDB through reading documentation from other teams. I’ve also had the opportunity to have coffee chats with other engineers and look through the codebase overall. This makes me feel like I am really valued as a growing engineer, rather than just somebody who is around to do some extra work for the summer. It sounds as though you’re really enjoying our strong engineering culture and are taking advantage of the resources we provide to interns at MongoDB. Could you speak a little more about the overall culture? The first thing that comes to mind when thinking about MongoDB’s culture is collaboration. Curiosity and intellectual humility are cornerstones of our engineering culture, and that leads to really productive engineering. When discussing technical decisions within my team, it is very common to hear, “I thought X, but after listening to you walk through your thinking, I am leaning toward Y.” The culture makes it feel like everyone can contribute, and that every idea is worth hearing because it will be given a fair shot. I also really like the intellectual curiosity of MongoDB engineers. It seems that everyone has a little side interest in another team’s work, and you frequently hear engineers ask each other questions about the inner workings of their projects. It seems that you've really embraced one of our most important company values, "build together." Do you have any advice for students who might be considering interning at MongoDB? I would encourage students considering a MongoDB internship to try new things when choosing their teams for the summer. The first summer I was here, I wanted to stick with what I knew by working on a team that used React and Java. This summer, I had to learn an entirely new language, C++, in order to work on my team, and I think that I have grown so much through this experience of trying something new in my internship. Interested in opportunities for college students at MongoDB? Find out more .

August 17, 2022
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Hanabi Technologies Uses MongoDB to Power AI Assistant, Hana

For all the hype surrounding generative AI, cynics tend to view the few real-world implementations as little more than “fancy chatbots.” But for Abhinav Aggarwal, CEO of Hanabi Technologies, the idea of a generative AI-powered bot that is more than just an assistant was intriguing. “I’d been using ChatGPT since it launched,” said Aggarwal. “That got me thinking: How could we make a chatbot that was like a team member?” And with that concept, Hana was born. The problem with bots “Most generative AI chatbots do not act like people; they wait for a command and give a response,” said Aggarwal. “We wanted to create a human-like chatbot that would proactively help people based on what they wanted—automating reminders, for example, or fetching time zones from your calendar to correctly schedule meetings.” Hanabi’s flagship product, Hana, is an AI assistant designed to enhance team collaboration within Google Chat, working in concert with Google Workspace and its suite of products. “Our target customers are smaller companies of between 10 and 50 people. At this size you’re not going to build your own agent from scratch,” he said. Hana integrates with Google APIs to deliver a human-like assistant that chimes in with helpful interventions, such as automatically setting reminders and making sure meetings are booked in the right time zone for each participant. “Hana is designed to bring AI to smaller companies and help them collaborate in a space where they are already working—Google Workspace,” Aggarwal explained. The MongoDB Atlas solution For Hana to act like a member of the team, Hanabi needed to process massive amounts of data to support advanced features like retrieval-augmented generation (RAG) for better information retrieval across Google Docs and many other sources. And with a rapidly growing user base of over 600 organizations and 17,000+ installs, Hanabi also required a secure, scalable, and high-performing data storage solution. MongoDB Atlas provided a flexible document model, built-in vector database, and scalable cloud-based infrastructure, freeing Hanabi engineers to build new features for Hana rather than focusing on rote tasks like data extract, transform, and load processes or manual scaling and provisioning. Now, MongoDB Atlas handles a variety of responsibilities: Scalability and security: MongoDB Atlas’s auto-scaling and automatic backup features have enabled Hanabi to seamlessly grow its user base without the need for manual database management. RAG: MongoDB Atlas plays a critical role in Hana’s RAG functionality. The platform enables Hanabi to split Google Docs into small sections, create embeddings, and store these sections in Atlas’s vector database. Development Processes: According to Aggarwal, MongoDB’s flexibility in managing changing schemas has been essential to the company’s fast-paced development cycle. Data Visualization: Using MongoDB Atlas Charts has enabled Hanabi to create comprehensive dashboards for real-time data visualization. This has helped the team track usage, set reminders, and optimize performance without needing to build a manual dashboard. Impact and results With MongoDB Atlas, Hanabi can successfully scale Hana to meet the demands of its rapidly expanding user base. The integration is also enabling Hana to offer powerful features like automatic interactions with customers, advanced information retrieval from Google Docs, and manually added memory snippets, making it an essential tool for teams around the world. Next steps Hanabi plans to continue integrating more tools into Hana while expanding its reach to personal Gmail users. The company is also rolling out a new automatic-interaction feature, further enhancing Hana’s ability to proactively assist users without direct commands. MongoDB Atlas remains a key component of Hanabi’s stack, alongside Google Kubernetes Engine, NestJS, and LangChain, enabling Hanabi to focus on innovating to improve the customer experience. Tech Stack MongoDB Atlas Google Kubernetes Engine NestJS LangChain Are you building AI apps? Join the MongoDB AI Innovators Program today! Successful participants gain access to free MongoDB Atlas credits, technical enablement, and invaluable connections within the broader AI ecosystem. If your company is interested in being featured, we’d love to hear from you. Connect with us at ai_adopters@mongodb.com.

November 21, 2024