Futurice Tech Weeklies

"Hey Alexa, when does the tram 3 to Meilahti leave?"

Kha Nguyen built an application combining Amazon Alexa's voice assistant with Helsinki Regional Transport Authority's (HSL) data API to build functionality to know when specific buses and trams leave from near his home.

As you know, Amazon Alexa is a virtual assistant that can be programmed to make your life easier. Kha explains how Alexa works behind the scenes and how to use its interfaces to run custom Javascript code based on different voice commands and intents.

After this talk, you'll know the basics of building custom Alexa commands.

"Hey Alexa, when does the tram 3 to Meilahti leave?"

Kha Nguyen built an application combining Amazon Alexa's voice assistant with Helsinki Regional Transport Authority's (HSL) data API to build functionality to know when specific buses and trams leave from near his home.

As you know, Amazon Alexa is a virtual assistant that can be programmed to make your life easier. Kha explains how Alexa works behind the scenes and how to use its interfaces to run custom Javascript code based on different voice commands and intents.

After this talk, you'll know the basics of building custom Alexa commands.

Many projects these days do not use a traditional backend any more, but have moved their logic to FaaS (Function as a Service) like AWS Lambda.

The core idea is that you don’t have to manage a server, and instead you just upload code and it will be executed on some event. Normally AWS only supports Nodejs, Python and a few more languages for this service. But with custom runtimes, we can deploy any language!

This Tech Weeklies episode shows you how to write a stateless service (in our case a telegram bot) in Haskell and deploy it to AWS Lambda with Terraform.

 

Presenter: Jan van Brügge

Many projects these days do not use a traditional backend any more, but have moved their logic to FaaS (Function as a Service) like AWS Lambda.

The core idea is that you don’t have to manage a server, and instead you just upload code and it will be executed on some event. Normally AWS only supports Nodejs, Python and a few more languages for this service. But with custom runtimes, we can deploy any language!

This Tech Weeklies episode shows you how to write a stateless service (in our case a telegram bot) in Haskell and deploy it to AWS Lambda with Terraform.

 

Presenter: Jan van Brügge

If you have worked with GraphQL and React, you’ve probably used Apollo Client as the GraphQL client library. For those who aren't familiar with it, Apollo Client is a comprehensive GraphQL client library providing features for state management, caching, and data management in the frontend.

In July 2020, version 3.0 was released, and it brought some new features, especially to state management. This talk introduces some of these features.

 

Presenter: Eeva-Jonna Panula

If you have worked with GraphQL and React, you’ve probably used Apollo Client as the GraphQL client library. For those who aren't familiar with it, Apollo Client is a comprehensive GraphQL client library providing features for state management, caching, and data management in the frontend.

In July 2020, version 3.0 was released, and it brought some new features, especially to state management. This talk introduces some of these features.

 

Presenter: Eeva-Jonna Panula

In our last episode we talked about using a stream library. You understand a concept better if you implement it yourself. So we will build our own small streaming library in this live coding session.

 

Presenter: Jan van Brügge

In our last episode we talked about using a stream library.  You understand a concept better if you implement it yourself. So we will build our own small streaming library in this live coding session.

 

Watch the video.

 

Presenter: Jan van Brügge

Streams are a handy tool to structure your application with asynchronous execution in mind. The core idea is to model the dataflow as a stream where at runtime data can be emitted at any time.

In this talk we will first go over the basic usage of streams, then build our own small RxJS with that to see what the differences between hot and cold streams are.

 

Presenter: Jan van Brügge

Streams are a handy tool to structure your application with asynchronous execution in mind. The core idea is to model the dataflow as a stream where at runtime data can be emitted at any time.

In this talk we will first go over the basic usage of streams, then build our own small RxJS with that to see what the differences between hot and cold streams are.

 

Presenter: Jan van Brügge