This meetup group intends to create a platform wherein passionate AWS users and machine learning enthusiasts can gather around and talk, present and discuss various AWS services and machine learning algorithms(in greater detail) and respective proven best practices.
Resonate Inc ( https://resonate.com ) organizes and sponsors these meetups as a 'Thank You' to the community - We are a consumer intelligence platform that helps build strong relationships between people and brands, agencies with a touch of the human element.
We plan to meet at least once in 3 months and would love to see you there.
Please feel free to reach us if you have something interesting to present and we'll get you signed up for the next available speaker slot!
Looking forward to meeting all the passionate AWS/Machine Learning users in the DC metro area.
We are excited to invite you to our first meetup sponsored by Resonate. We'll be meeting at the Resonate Reston office. We would need an attendee list, so you must RSVP "yes" and submit your name by noon on Wednesday, November 20 in order to attend. RSVPs will close on that date or once we are at full capacity.
Here's what we have planned for this meetup:
6:30pm-7:00pm - Networking and food/drink sponsored by Resonate
7:00pm - 8:30pm-ish –
Using AWS X-Ray for metrics and application awareness - Doug Toppin.
The AWS X-Ray service provides the ability to add metrics to your applications with minimal development effort and cost. These metrics can provide application service access, timing and service call outcome information. The metric data can be provided for all usages or sampled at the desired rate to reduce the cost of the service. Within 2 days of my first use of X-Ray, it proved its value by identifying the location of a slow down during request processing. This talk will contain an overview of X-Ray and an example using a Python Flask service running in Fargate.
Running Jupyter Notebooks with Docker on Windows 7 - Kirk Kalvar
Although Jupyter Notebooks are the de facto standard for data science to document and develop Machine Learning processes, it still requires a significant amount of work to install the required software on a local machine. As requirements change you may be required to add or remove existing software, creating dependency issues. If you use a variety of tool-chains then this issue can become quite pronounced.
This presentation will show how to run Jupyter Notebooks locally on Windows 7 using docker pre-configured containers to avoid the dependencies issues, promote sharing within a team, and speed development.
Easy way to integrate and maintain AWS parameter store for SpringBoot Applications - Brent Driskill
AWS Parameter stores are great for storing your application configuration but those configs are not necessarily readily accessible in the format your application expects such as YAML or environmental config format especially if your application is developed in the Spring framework. Resonate team resident AWS expert Brent demonstrates a tool that he developed as an extension to an open-source project.
Please feel free to park in any of the unmarked parking spots in the 11720 parking garage.