This panel discussion is about the pandemic’s impact on product and design teams, and how four leaders are navigating a challenging time.
In this talk, I’ll cover what Serverless means to me, namely the Serverless framework and how to use it to deploy applications to the Amazon Web Services cloud platform.
One of the chief benefits of cloud computing is the ability to experiment. This talk is about how we use “transient” to allow developer experimentation while preventing abuse.
Chariot’s Ken Rimple, director of Training/Mentoring Services, will take you through some sample AWS architectures and the pros/cons of complexity, cost, and technical considerations for each one.
Scenario: An IoT pipeline exists to transform data into information. As a working example, we use sensors that report room temperature, humidity, and occupancy, and translate that raw data into information that would be useful to a building manager.
Ken Rimple discusses the key concepts and terminology of the Internet of Things, including types of IoT devices, networking hardware, transport and protocols, and how they relate to our event and the real world. Topics discussed include connectivity examples and various IoT devices.
By Ken Rimple, Director of Training/Mentoring Services, Chariot Solutions
There are many ways to add wireless connectivity to a device. We’ll take a brief tour of the some of these like WiFi, Bluetooth, ZigBee, Zwave, NFC, Cellular, LoRa, and Sigfox. We’ll talk about some of the pros and cons of each technology to help you decide which is best for your use case.
What is MQTT? How does it work? Why should you care? We’ll discuss the MQTT protocol and how AWS IoT Core is an MQTT Broker able to send and receive messages to and from devices.
AWS IoT provides connectivity to IoT devices through HTTP and MQTT. In this session we learn how to leverage AWS Core IoT as an MQTT broker, how to connect your devices using a client certificate, how policies can enforce data security, and how rules are used to move data elsewhere in the AWS infrastructure.
This talk will cover the high-level design of Kinesis, how it scales, how clients can retrieve records that have been stored in it, and the use of Kinesis Analytics to to transform data and extract outliers.