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Max Katz for IBM Developer

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Knative, Serverless, CouchDB, Machine Learning and IA in gaming – May 2019 online meetup recordings

IBM Developer SF team hosts weekly online meetups on various topics. Online events are one of the best ways to scale your Developer Relations program and reach developers anywhere, anytime and for a long time after the event.

The following online meetups we hosted in April 2019 with links to watch the recordings. I also encourage you to join our meetup so you will always know when our online meetups are scheduled. Our meetups are hosted by the wonderful Lisa Jung 👋.

💡 Edge computing and IoT devices (May 1, 2019)

In this online meetup with Marek Sadowski developers learned:

  • Dive into concepts and architecture behind this solution
  • Show you how to add a voice user interface
  • Send and analyze sensor data in the cloud
  • Manage devices from the cloud
  • Teach you how you can make your Raspberry Pi to tell you a joke

Watch the recording 📺

💡 Serverless with Docker and Kafka (May 2, 2019)

In this online meetup with Marek Sadowski developers learned:

  • Who are the players in the Serverless ecosystem?
  • What are some use cases for Serverless solutions – with using a Docker as the Polyglot action
  • Best practices for the Serverless architecture for Message Oriented Middleware events
  • Whether going Serverless is really faster, better, cheaper for developers and organizations
  • Live coding examples using Docker, Kafka

Watch the recording

💡AI in Gaming with IBM Watson (May 8, 2019)

With so many frameworks and APIs it can quickly become overwhelming. In this online meetup with Amara Graham developers learned:

  • A small Unity and ARKit demo using Watson Assistant, Speech to Text, and Text to Speech to control an animated character in AR
  • Code samples that you can tweak and add to your project!

Watch the recording

💡Introduction to Apache CouchDB (May 9, 2019)

In this online meetup with Upkar Lidder developers learned:

  • How to create a simple CRUD application in CouchDB and then explore more advance features including:
  • Design Documents to transform, update and validate documents
  • Views to query documents using MapReduce
  • Mango Query Server to write JSON queries
  • HTTP API that makes CouchDB ideal for the web

Watch the recording

💡Introduction to Machine Learning on IBM Watson Studio – live workshop (May 22, 2019)

In this online meetup/live workshop with Upkar Lidder developers learned:

  • Demo end to end machine learning lifecycle
  • Gather data and store on IBM Cloud Storage
  • Data wrangling and cleanup using IBM Refinery
  • Use Watson Machine Learning to create several classification and regression models
  • Ask Watson Studio to pick the best performing model for you
  • Deploy the model and then create a web application for prediction
  • Learn how to continuously evaluate this model and improve over time.
  • Introduction to Machine Learning on IBM Watson Studio

Watch the recording

💡The What, the why, and the how of Knative on Kubernetes (May 29, 2019)

In this online meetup with Mofi Rahman developers learned what Knative is, why it was created and how you can get started.

Wouldn’t it be nice if as developers we could just focus on our code? That is the promise of serverless. But what if we wanted to leverage our existing kubernetes service and developers? Knative focuses on building these tools and services in a way that elevates the existing Kubernetes experience.

Kubernetes excels at container scheduling, and offers useful primitives for automating infrastructure. But we’ve noticed that development teams often struggle when they use vanilla Kubernetes for application deployments. By all means, use Kubernetes to push containers all day long. But if you want to push application code — or a function — Kubernetes on its own isn’t enough.

Knative is an open source software layer that helps cloud service providers and enterprise platform operators deliver a serverless experience to developers on any cloud. It’s a way to abstract the operational overhead of deploying and managing workloads that run on K8s and provides a consistent approach so that developers can focus on writing cool code.

Watch the recording 📺

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