The latest version of MongoDB Management Service OnPrem 1.5.0 is now publicly available for MongoDB Enterprise and Standard subscribers as of September 2nd. Download it here and check out the official documentation for it here. Official documentation here.
Highlights of this release include:
- Release of the MMS API for OnPrem. The API may be used to add hosts, configure alerts, retrieve metric data, programmatically retrieve snapshots.
- Support for multiple data-centers. This release has more explicit support for multiple data-centers, including the ability to configure data locality. (i.e. all data stays within the same data center.) Get more information on this here.
- Enhanced auditing
- Attractive new color themes for host charts
We will also be doing a very limited release for Windows customers.
Intern Spotlight: Jonathan Mason
This year, MongoDB welcomed 33 university students to our intern program in Engineering, Marketing, and Education. In this series, we'll introduce you to the talented students who are helping us transform development and operations for how we run applications today. I had the chance to sit down with Jonathan Mason who spent this past summer working with our Community Marketing team! Where do you go to school, what is your major, and what year are you in? I’m going into my final year at McGill University. I have a major in History and a minor in Political Science and Economics. What is your role at MongoDB? I work for the Community Marketing team, essentially that means I help produce content and organize events that further MongoDB usage worldwide. How did you find out about the internship program at MongoDB? Why did you choose to come to MongoDB? I found out through a friend who said she loved the company. I chose to come here out of curiosity: I wanted to learn what it meant to work in the tech industry and to see if a Liberal Arts major like myself could handle it. What’s your hometown? I was born in NYC but my family moved upstate to Woodstock, NY after 9/11. In 2011 I moved to Montreal to study at McGill University. Did you have previous experience using MongoDB before you arrived? If so, how are things different now that you work at MongoDB? If not, how did you learn MongoDB and how was the education process? I don’t code, which has made my education process both confusing and enlightening. Ever since I arrived here I have been reading as much as possible about the company and how their product works. I think in the 21st century it is increasingly important to understand the technology that runs our economy and influences our lives. Ever since coming here I find myself asking more questions about the devices we all use on a daily basis but many of us do not understand. Bike or public transportation to work? MTA What’s a typical day (or week) for you? I wake up at 9:00am, put on some pants and stumble into the West village in search of coffee. Then I enjoy a very short commute to Times Square sand begin work. I get off work around 5:30-6:00pm and then usually Skype my girlfriend who is working in Belgium this summer or go run along the West Side Highway. What do you love most about MongoDB? I love the feeling of possibility and growth. Ever since being here I’m starting to view the economy in a different way. Not as something static and closed off, but as an environment full of opportunities for those willing to engage, think, and innovate. What’s the most challenging aspect of your job? Learning how the tech industry works in a conceptual sense. It’s a very important industry to understand. What do you hope to accomplish while you’re here? I hope to contribute as much as I can to the vision and image of this company, which I think will accomplish great things. What’s your favorite Seamless lunch order? Anything with Sushi. Name one secret skill you have, unrelated to work. I’m really into memorizing when presidents were in office. I also love maps and geography in general. Don’t know if that counts as a skill or if I’m just weird. Kindle or book? I prefer books but I think we should save the trees. Describe your perfect weekend. Sleep late, wake up somewhere new, spend the day with people I love and talk late into the night. Want to help build the next revolution in database technology? MongoDB offers summer internships and new graduate opportunities to foster computer science talent across the country. Learn more about the MongoDB University Relations program .
Splitit & MongoDB Atlas: Racing to Capture a Global Opportunity
Splitit is a global payment solution that allows businesses to offer installment plans for their customers. Unlike with other buy now, pay later (BNPL) solutions, Splitit shoppers can split their online purchases into monthly installments by using their existing credit, without the need for registration, application, or approval. “We have a very different proposition than others in this space,” says Splitit’s CTO, Ran Landau. “We’re not a financing company. We utilize the customer’s existing credit card arrangement, which allows us to accommodate smaller average deal values and a broader range of installment schedules.” Splitit works with online retailers across all market sectors and diverse price points, and recently raised $71.5 million in investment to fund global expansion. Following its IPO in January 2019, the business had seen strong growth as more consumers moved from brick and mortar to ecommerce. Then COVID-19 hit, and online shopping boomed. Landau recognized that the company needed to quickly scale its infrastructure in order to capture this large opportunity. The Need for Speed Landau joined Splitit in May 2019 and worked to modernize the company’s infrastructure. At the time, the team was using a traditional relational database. “As tech leaders, we need to make the right decision,” he says. “When I came to Splitit, I knew I needed a powerful NoSQL server so that my developers could develop faster and so that we could scale – both things that our relational databases were failing to deliver.” In the interest of getting up and running quickly, Ran’s team thought that they could move faster using a cloud-provider database that mimicked MongoDB functionality. He had used MongoDB before and saw that this solution offered the same drivers he was familiar with and claimed compatibility with MongoDB 3.6. Initially, the new solution seemed fine. But as the team started to migrate more data into the database, however, Landau noticed a few missing features. Scripts for moving documents from one collection to another were failing, and overall performance was deteriorating. The application became slow and unresponsive even though the load on the database was normal. “We were having issues with small things, like renaming collections. I couldn’t search or navigate through documents easily,” recalls Landau. Offline Database: A Breaking Point Then one day, the application was unable to communicate with the database for 20 minutes, and when the database finally came back online, something wasn’t right. Landau contacted support, but the experience was not very helpful. “We were not pleased with the response from the database vendor,” he explains. “They insisted that the issue was on our side. It wasn’t so collaborative.” Fortunately, he had taken a snapshot of the data so Splitit was able to revert back to an earlier point in time. But the incident was troubling. Other teams also had been complaining about how difficult it was to debug problems and connect to the database successfully. Landau knew he needed to find a better solution as soon as possible. MongoDB Atlas: A Reliable, Scalable Solution Landau believed that MongoDB was still the right choice for Splitit, and investigated whether the company offered a cloud solution. He discovered MongoDB Atlas and decided to give it a try. “The migration to MongoDB Atlas was so simple. I exported whatever data I had, then imported it into the new cluster. I changed the connection strings and set up VPC peering in all of my environments,” says Landau. “It was incredibly easy.” Not only was MongoDB Atlas built on actual MongoDB database software, but it was also secure, easy to use, and offered valuable features such as Performance Advisor . “It can tell you which indexes need to be built to increase speed. It’s such a powerful tool — you don’t need to think; it analyzes everything for you,” explains Landau. Another great feature was auto-scaling. “My biggest concern as I scale is that things keep working. I don’t have to stop, evaluate, and maintain the components in my system,” says Landau. “If we go back to doing database operations, we can’t build new features to grow the business.” Auto-archival Made Easy with Online Archive As a business in the financial services industry, Splitit needs to comply with various regulations, including PCI DSS . A key requirement is logging every transaction and storing it for auditing purposes. For Splitit, that adds up to millions of logs per day. Landau knew that storing this data in the operational database was not a cost-effective, long-term solution, so he initially used an AWS Lambda function to move batches of logs older than 30 days from one collection to another periodically. A few months ago, he discovered Online Archive , a new feature released at MongoDB.live in June 2020. With it, Landau was able to define a simple rule for archiving data from a cluster into a more cost-effective storage layer and let Atlas automatically handle the data movement. “The gem of our transition to Atlas was finding Online Archive,” says Landau. “There’s no scripting involved and I don’t have to worry about my aging data. I can store years of logs and know that it’s always available if I need it.” 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 With federated queries, the team can also easily analyze the data stored in both the cluster and the Online Archive for a variety of use cases. Ready for Hypergrowth and Beyond Looking back, Landau admits that he learned his lesson. In trying to move quickly, he selected a solution that appeared to work like MongoDB, but ultimately paid the price in reliability, features, and scalability. You wouldn't buy a fake shirt. You wouldn't buy fake shoes. Why buy a fake database? MongoDB Atlas is the real thing. Ran Landau, CTO, Splitit Landau is confident that his investment in MongoDB puts in place a core building block for the business’ continued success. With a fully managed solution, his team can focus on building features that differentiate Splitit from competitors to capture more of the market. “We saw our growth triple in March due to COVID-19, but the sector as a whole is expanding,” he says. “Our technology is patent protected. Everything we build moving forward will be on MongoDB. As a company that’s scaling rapidly, the most important thing is not having to worry about my scaling. MongoDB Atlas takes care of everything.”