November Driver Releases
On November 27, all 10gen supported drivers were updated with new error checking and reporting defaults. Each driver now has a MongoClient connection class to handle the error checking. On the same day there was also a server release with fixes on 2.2
MongoQP: MongoDB Slow Query Profiler
Two times a year 10gen’s Drivers and Innovations team gather together for a face to face meeting to work together and setting goals for the upcoming six months. This year the team broke up into teams for an evening hackathon. MongoQP , a query profiler, was one of the hacks presented by Jeremy Mikola, PHP Evangelist at 10gen. Logging slow queries is essential for any database application, and MongoDB makes doing so relatively painless with its database profiler. Unfortunately, making sense of the system.profile collection and tying its contents back to your application requires a bit more effort. The heart of mongoqp (Mongo Query Profiler) is a bit of map/reduce JS that aggregates those queries by their BSON skeleton (i.e. keys preserved, but values removed). With queries reduced to their bare structure, any of their statistics can be aggregated, such as average query time, index scans, counts, etc. As a fan of Genghis , a single-file MongoDB admin app, I originally intended to contribute a new UI with the profiler results, but one night was not enough time to wrap my head around Backbone.js and develop the query aggregation. Instead, I whipped up a quick frontend using the Silex PHP micro-framework. But with the hack day deadline no longer looming, there should be plenty of time to get this functionality ported over to Genghis. Additionally, the map/reduce JS may also show up in Tyler Brock’s mongo-hacker shell enhancement package. While presenting mongoqp to my co-workers, I also learned about Dan Crosta’s professor , which already provides many of the features I hoped to implement, such as incremental data collection. I think there is still a benefit to developing the JS innards of mongoqp and getting its functionality ported over to other projects, but I would definitely encourage you to check out professor if you’d like a stand-alone query profile viewer. Contributions welcome through Github .
Using MongoDB Skill Scanner to Build Better Training Programs
Technology leaders know that transformation is about more than just adopting modern technologies like MongoDB. The entire organization has to rally behind change — which is no easy task. The skills that modern development teams need are evolving faster than ever, and hiring to fill skills gaps can be too time-consuming and expensive of a process for many organizations. So it’s imperative that we plan for how we want to bring our people with us on our modernization journey, and proactively upskill them on the technologies we’re betting on. Because what happens if you choose MongoDB, but your developers don’t know how to use it? CIOs know that training programs are easier said than done. EY reported that 30% of CIOs acknowledge that their training programs are ineffective, and that they’re struggling to retain talent because of it. These leaders come to us to help them build and execute their MongoDB training programs , and seek advice on two extremely common yet critical challenges: How do we get away from the less effective one-size-fits-all approach? How do we measure the ROI of our training program and connect it to business impact? How we use MongoDB Skill Scanner to overcome training challenges Our Professional Services team uses a tool called MongoDB Skill Scanner to address both of these challenges. This tool helps us provide these three benefits to our customers looking to build a training program: Improve MongoDB proficiency: Teams can use Skill Scanner to quickly and easily assess the MongoDB skill gaps of their team members and gain a comprehensive understanding of their team’s MongoDB skills baseline. Increased productivity and accuracy: When team members have a comprehensive understanding of MongoDB, they are able to work more quickly and accurately on projects, leading to increased productivity and a higher quality of work. Save time and money with targeted Training: Using Skill Scanner, customers can avoid wasting time and money on trial-and-error learning. Instead, they can focus on improving their skills in a more targeted and efficient way with right-sized training plans. By leveraging this data, our customers’ engineers can engage in the right training at the right time, targeted for their job role and specific skill shortages. When a training program is built this way, engineers maximize their knowledge retention and minimize time away from their projects. Skill Scanner includes three role-based assessments, one for developers, database administrators, and DevOps respectively. Through a series of multiple choice questions, Skill Scanner provides customers with a clear understanding of their level of expertise across a set of technical skills that are critical for success in their role. After submitting the assessment, engineers will get results in each skill area outlining if they are beginner, intermediate, or advanced. Why data-driven training programs matter We’ve learned that it’s not enough to just tell teams to go watch training videos or webinars on their own, or to place everyone in the same one-size-fits-all program. Skills gaps vary from team to team, and individual to individual. The one-size-fits-all approach of some programs may not address individual learners' needs, wasting time and making it difficult for them to acquire new skills. By using Skill Scanner, we’re able to interpret this data to help determine which training courses your team should take. But we don’t only capture this data before doing training; we use Skill Scanner again after training programs are completed to see where immediate improvements have been made. This helps technology leaders prove the impact and ROI of their training, and gives them the confidence that their teams are ready to be successful with MongoDB. Developing a Precision Learning Program To go even further, our team can work with you to build a Precision Learning Program, where we use Skill Scanner data to build learning schedules that are unique to each individual. These schedules include a variety of short, blended, learning events such as classes, technical workshops, self-paced exercises, and project coaching. We’ve seen PLP lead to higher knowledge retention and of course, measurable project results. A customer who recently concluded their PLP saw a 43% increase in knowledge retention. Getting started building a personalized training program Skill gaps aren’t a novel problem IT leaders are facing. But with new digital courses, training, and technologies, the resources to close these gaps are at your fingertips. Skill Scanner and Precision Learning Program have been specifically designed to empower teams by offering targeted training that enhances their understanding of MongoDB. These short training events are carefully crafted to close skill gaps without compromising developer productivity. We’ve seen a variety of customers use this tool to help train their team’s individual needs, from needing to upskill new hires on their teams, projects with new MongoDB products, migrating to MongoDB Atlas, and more. It also saves your business the hours developers would've wasted searching for answers (and developers don’t want to spend their time that way, either). “We need help getting from point A to point B and feel MongoDB is uniquely positioned to help” — CTO at large insurance firm If you're interested in trying out MongoDB Skill Scanner or want to explore the MongoDB Precision Learning Program further, you can reach out to your account representative or contact us directly .