5 Blogs to Read Before You Head to AWS re:Invent Next Month

Peter Zawistowicz
October 24, 2016 | Updated: December 8, 2016
#Road to re:Invent#Cloud

This post is part of our Road to re:Invent series series. In the weeks leading up to AWS re:Invent in Las Vegas this November, we'll be posting about a number of topics related to running MongoDB in the public cloud.

![Road to AWS re:Invent](https://webassets.mongodb.com/_com_assets/cms/AWS_ReInvent-683wqzsi2z.jpg)

Before you head to AWS re:Invent next month, we’ve pulled together our most popular blog posts about running MongoDB alongside different AWS solutions.

1. Virtualizing MongoDB on Amazon EC2 and GCE

As part of a migration to a cloud hosting environment, David Mytton, Founder and CTO of Server Density, did an investigation into the best ways to deploy MongoDB into two popular platforms, Amazon EC2, and Google Compute Engine.

In this two part series, we will review David’s general pros and cons of virtualization along with the challenges and methods of virtualizing MongoDB on EC2 and GCE.

Read the post >

2. Maximizing MongoDB Performance on AWS

You have many choices to make when running MongoDB on AWS: from instance type and security, to how you configure MongoDB processes and more. In addition, you now have options for tooling and management. In this post we’ll take a look at several recommendations that can help you get the best performance out of AWS.

Read the post >

3. Develop & Deploy a Node.js App to AWS Elastic Beanstalk & MongoDB Atlas

AWS Elastic Beanstalk is a service offered by Amazon to make it simple for developers to deploy and manage their cloud-based applications. In this post, Andrew Morgan will walk you through how to build and deploy a Node.js app to AWS Elastic Beanstalk using MongoDB Atlas.

Read the tutorial >

4. Oxford Nanopore Technologies Powers Real-Time Genetic Analysis Using Docker, MongoDB, and AWS

In this post, we take a look at how containerization, the public cloud, and MongoDB is helping a UK-based biotechnology firm track the spread of Ebola.

Get the full story >

5. Selecting AWS Storage for MongoDB Deployments: Ephemeral vs. EBS

Last but not least, take a look at what we were writing about this time last year as Bryan Reinero explores how to select the right AWS solution for your deployment.

Keep reading >

Want more?

We’ll be blogging about MongoDB and the cloud leading up to re:Invent again this year in our Road to re:Invent series. You can see the posts we’ve already published here.

Going to re:Invent?

The MongoDB team will be in Las Vegas at re:Invent 11/29 to 12/2. If you’re attending re:Invent, be sure to visit us at booth 2620!

MongoDB Atlas, the cloud database service for MongoDB, is the easiest way to deploy and run MongoDB, allowing you to get started in minutes. Click here to learn more.

Get the guide for MongoDB on AWS

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MongoDB 3.4.0-rc1 is released

MongoDB 3.4.0-rc1 is out and is ready for testing. This is the culmination of the 3.3.x development series. Fixed in this release candidate: SERVER-19153 Conditionally push $match before $project SERVER-25459 Create command should reject unknown options SERVER-25892 listDatabases command doesn't hold global lock when getting the list of databases SERVER-26448 initial sync collection clone progress meter SERVER-26488 Bulk build of _id index uses excessive memory WT-2831 Skip creating a checkpoint if there have been no changes WT-2920 Add statistic tracking application thread cache maintenance time WT-2950 Inserting multi-megabyte values can cause large in-memory pages 3.4 Release Notes | All Issues | Downloads As always, please let us know of any issues. -- The MongoDB Team

October 20, 2016
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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 .

June 7, 2023