This iteration includes plenty of eye candy for the visually inclined as well as bug fixes. The biggest item is the new view of MongoDB hosts - we’ve added a new view of MongoDB Deployments which shows the topology of your server environment, along with whether or not its healthy. The tabular view of hosts is still available and can be viewed via switching the view toggle. We also rolled out new dark themes for the Host Detail page.
Monitoring MongoDB continues to be priority one for our users, and this iteration we added a couple of key features:
- A new history of alert configurations
- Provide audit trail of who acknowledged an alert or deleted it, including the optional comment
- Implemented LDAP auth between Monitoring Agent and monitored hosts
MongoDB Backup functionality also received some enhancements:
- Implemented LDAP auth between Backup Agent and backed-up host
- We now allow Point in Time restores to be specified using a BSON timestamp
- Tweaked UI to show retired shards and configs so that users can still access backups for the retired members
The monitoring and backup agents also received new versions:
Monitoring Agent (version 22.214.171.124) was upgraded to Go 1.3, an updated mgo driver, which includes a fix for DNS lookup timeouts (MGO-34) and added support for LDAP authentication.
Backup Agent (version 126.96.36.199) includes the upgrade to Go 1.3, support for LDAP authentication, additional logging for when the backup agent manipulates the balancer; and http proxy configuration via the config file.
Have an issue or a bug or a feature request? File a ticket in our feature request queue!
Intern Spotlight: Russell Kaplan
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. We had the chance to sit down with intern Russell Kaplan, who is working on the C++ Driver team. Where do you go to school, what is your major, and what year are you in? I go to Stanford, where I am a computer science major and a rising sophomore. What is your role at MongoDB? I work on the C++ driver team, building a geospatial API. How did you find out about the internship program at MongoDB? Why did you choose to come to MongoDB? I met MongoDB at PennApps . The App I made there won the prize for best use in the MongoDB category. It was called screenshades, and was a chrome extension that figured out what TV shows you watch and hides spoilers for them from your twitter stream. It worked with machine learning, so we needed a lot of training data, which we scraped from Twitter and Reddit for spoiler hashtags and built a dataset off of. We then used that as a classifier. I chose to come to MongoDB because I already had a lot of experience with front-end development and building web-apps and wanted to learn more about the back-end of development. What’s your hometown? My hometown is NYC. Best city in the world! 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 used it at hackathons before. But I only really used its basic features. I learned a lot more about it after getting here. It’s really simple to use for quickly getting started with web applications. Bike or public transportation to work? Subway. What’s a typical day (or week) for you? I get into the office by 10am. Eat some breakfast in the café, catch up on emails for a bit and then get to coding. I code until lunch, have some seamless, play a game of ping pong and then code for the rest of the day. What do you love most about MongoDB? I love the people I get to work with. It’s a lot of really smart high-energy people that I have so much to learn from. What’s the most challenging aspect of your job? Because it’s a database and an open source company, the code really has to be production quality in a way that class work doesn’t. It’s a much more rigorous standard of development. That’s something that’s really cool to learn but challenging at times. What do you hope to accomplish while you’re here? I hope to have my code integrated into the rest of the MongoDB code base. I hope that the people who use the C++ driver appreciate the work I’ve done. What’s your favorite Seamless lunch order? Chop’t steak salad. Name one secret skill you have, unrelated to work. I can beat box. A little bit, I’m an amateur. Whose your favorite tennis player? Djokovic, he’s incredible. He also has a hilarious sense of humor and isn’t afraid to make jokes about himself and other players. Kindle or book? What’s your favorite book? Books. I’m old school. My favorite book is probably 1984. Describe your perfect weekend. Oh man. Sleep in late Saturday morning and then go play some tennis with some friends. Discover some obscure yet delicious restaurant for dinner, and then go see a Death Cab for Cutie concert. All while getting to hang-out with friends and family. 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 .
Australian Start-Up Ynomia Is Building an IoT Platform to Transform the Construction Industry and its Hostile Environments
The trillion dollar construction industry has not yet experienced the same revolution in technology you might have expected. Low levels of R&D and difficult working environments have led to a lack of innovation and fundamental improvements have been slow. But one Australian start-up is changing that by building an Internet of Things (IoT) platform to harness construction and jobsite data in real time. “Productivity in construction is down there with hunting and fishing as one of the least productive industries per capita in the entire world. It's a space that's ripe for people to come in and really help,” explains Rob Postill , CTO at Ynomia. Ynomia has already been closely involved with many prestigious construction projects, including the residential N06 development in London’s famous 2012 Olympic Village. It was also integral to the construction of the Victoria University Tower in Australia. Link to Podcast Episode Here “These projects involve massive outflow of money: think about glass facades on modern buildings, which can represent 20-30 percent of the overall project cost. They are largely produced in China and can take 12 weeks to get here,” says Postill. “Meanwhile, the plasterer, the plumber, the electrician are all waiting for those glass facades to be put on so it is safe for them to work. If you get it wrong, you can go in the deep red very quickly.” To tackle these longstanding challenges, Ynomia aims to address the lack of connectivity, transparency and data management on construction sites, which has traditionally resulted in the inefficient use of critical personnel, equipment and materials; compressed timelines; and unpredictable cash flows. To optimize productivity, Ynomia offers a simple end-to-end technology solution that creates a Connected Jobsite. Helping teams manage materials, tools, and people across the worksite in real time. IOT in a Hostile Environment The deployment of technology in construction is often fraught with risk. As a result, construction sites are still largely run on paper, such as blueprints, diagrams and models as well as the more traditional invoices and filing. At the same time, there is a constant need to track progress and monitor massive volumes of information across the entire supply chain. Engineers, builders, electricians, plumbers, and all the other associated professionals need to know what they need to do, where they need to be, and when they need to start. “The environment is hostile to technology like GPS, computers, and mobile phone reception because you have a lot of Faraday cages and lots of water and dust,” explains Postill. “You can't have somebody wandering around a construction site with a laptop; it'll get trashed pretty quickly." Enter MongoDB Atlas “On a site, you might be talking about materials, then if you add to that plant & equipment, or bins, or tools etc, you're rapidly getting into thousands and thousands of tags, talking all the time, every day,” said Postill. That means thousands of tags now send millions of readings on Ynomia building sites around the world. All these IoT data packets must be stored efficiently and accurately so Ynomia can reassemble the history of what has happened and track tagged inventory, personnel, and vehicles around the site. Many of the tag events are also safety critical so accuracy is a vital component and packets can't be missed. To address these needs Ynomia was looking for a database that was scalable, flexible, resilient and could easily handle a wide variety of fast-changing sensor data captured from multiple devices. The final component Postill was looking for in a database layer was freedom: a database that didn't lock them into a single cloud platform as they were still in the early stages of assessing cloud partners. The Commonwealth Scientific and Industrial Research Organisation , which Postill had worked with in the past, suggested MongoDB , a general purpose, document-based database built for modern applications. “The most important factor was that the database is event-driven, which I knew would be difficult in the traditional relational model. We deal with millions of tag readings a day, which is a massive wall of data,” said Postill. A Cloud Database Ynomia is using MongoDB Atlas , the global cloud database service, now hosted on Microsoft Azure. Atlas offers best-in-class automation and proven practices that combine availability, scalability, and compliance with the most demanding data security and privacy standards. “When we started we didn't know enough about the problem and we didn't want to be constrained," explained Postill. "MongoDB Atlas gives us a cloud environment that moves with us. It allows us to understand what is happening and make changes to the architecture as we go." Postill says this combination of flexibility and management tooling also allows his developers to focus on business value not undifferentiated code. One example Postill gave was cluster administration: "Cluster administration for a start-up like us is wasted work," he said. "We’re not solving the customer's problem. We're not moving anything on. We’re focusing on the wrong thing. For us to be able to just make that problem go away is huge. Why wouldn’t you?" Atlas also gives Ynomia the option to spin out new clusters seamlessly anywhere in the world. This allows customers to keep data local to their construction site, improving latency and helping solve for regional data regulations. Real Time Analytics The company has also deployed MongoDB Charts, which takes this live data and automatically provides a real time view. Charts is the fastest and easiest way to visualize event data directly from MongoDB in order to act instantly and decisively based on the real-time insights generated by event-driven architecture. It allows Ynomia to share dashboards so all the right people can see what they need to and can collaborate accordingly. “Charts enables us to quickly visualize information without having to build more expensive tools, both internally and externally, to examine our data,” comments Postill. “As a startup, we go through this journey of: what are we doing and how are we doing it? There's a lot of stuff we are finding out along the way on how we slice and re-slice our data using Charts.” A Platform for Future Growth Ynomia is targeting a huge market and is set for ambitious growth in the coming years. How the platform, and its underlying architecture, can continue to scale and evolve will be crucial to enabling that business growth. “We do anything we can to keep things simple,” concluded Postill. “We pick technology partners that save us from spending time we shouldn't spend so we can solve real problems. We pick technologies that roll with the punches and that's MongoDB.” When we started we didn't know enough about the problem and we didn't want to be constrained," explained Postill. "MongoDB Atlas gives us a cloud environment that moves with us. It allows us to understand what is happening and make changes to the architecture as we go. Rob Postill, CTO, Ynomia