Philly ETE 2019 – Don Coleman – WTF IoT or IoT FTW?
What is the Internet of Things? Does adding the internet to a device (or thing) make it better or does it just create more problems?
What is the Internet of Things? Does adding the internet to a device (or thing) make it better or does it just create more problems?
GraphQL is a client/server API specification for submitting queries, updates and subscribing to data, and it’s been an interesting replacement technology for JSON in single page applications.
In 2009, Amazon Web Services was simple: EC2 for compute, S3 for storage. In 2019, it’s far more complex: well over 100 services, covering the entire software life-cycle. This talk is intended for the person who is looking at AWS as an alternative to running in a data center, and focuses on the important topics and strategies for a successful migration.
This talk will cover what makes a code metric valuable, when unmaintainable code may be preferable, and the number one thing that prevents most developers from maintaining quality code over time.
In this talk we’re casting a wide-net on the range of possibilities for building next-gen front-end apps by looking at the options we have for both building and deploying applications on the edge. Join us as we build and deploy an app in real-time using both Angular 2 and React.js.
This session will show you a toolchain and immutable infrastructure principles that will allow you to define your infrastructure in code versioned alongside your application code that will give you repeatable configuration, ephemeral testing environments, consistent CI/CD environments, and diffable dependency transparency all before pushing changes to production.
This talk draws an arc from Theory-Driven AI to Data-Driven AI and positions Watson along that trajectory. It proposes that to advance AI to where we all know it must go, we need to discover how to efficiently combine human cognition, massive data and logical theory formation. We need to boot strap a fluent collaboration between human and machine that engages logic, language and learning to enable machines to learn how to learn and ultimately deliver on the promise of AI.
When asked “What’s your architecture?” most people immediately respond with how their software is laid out and what their plans are for improving parts of it. Rarely does anybody really think through their team and organizational architecture, and even more rarely do people understand how that may fundamentally impact how the software gets written and the product that comes out at the end.
Inexpensive wireless microcontrollers are everywhere. This session will look at building wireless sensors on a variety of hardware: the super low cost ESP8266, the Particle Photon and it’s cloud services, and the new Arduino MKR1000. In addition to building connected devices, I’ll discuss some options for collecting, storing, and visualizing the sensor data.
In this talk we will look at some of the “gateway drugs” of scalaz: Validation, NonEmptyList, \/, Monad Transformers, and more. How do they work from a practical standpoint? What is their value for real world applications? Can we use them without an advanced Maths PhD? And just how fun is it to *really* code with these tools?