Mineral Bluff, GA, USA
Jun 26, 2020 | By Janaka Bandara
Slack is already the de-facto “channel” for team collaboration as well as low-to-moderate scale event monitoring and notifications. When we started working on the world’s first serverless MFT platform, we decided we should go down the Slack path for first-level monitoring; similar to how we already do it efficiently with our conventional AS2 Gateway.
Jun 24, 2020 | By Janaka Bandara
I have been developing and blogging about Sigma, the world’s first serverless IDE for serverless developers – but haven’t really been using it for my non-serverless work. That was why, when a (somewhat) peculiar situation came up recently, I decided to give Sigma a full-scale spin.
Jun 17, 2020 | By Udith Gunaratna
When you are working as an engineer for a software development company, it is apparent that you have to troubleshoot issues reported by the users of your software. In such a case, more often than not, you need to get various types of files from your customer for these troubleshooting purposes. For example, you may request them to send the application log files to troubleshoot a certain issue they are facing in their production environment.
May 30, 2020 | By Asankha Perera
The Sigma IDE has added Alexa skill development support that makes skill development in NodeJS or Python a breeze! This post includes the tutorial walk-through for the YouTube video which you can find below.
May 30, 2020 | By Asankha Perera
This is an article that continues from the Building an Alexa Skill in 5 minutes with NodeJS or Python without installing any software!, and followed by either the Creation of the AWS Lambda function backend for Alexa with NodeJS or Creation of the AWS Lambda function backend for Alexa with Python articles.
This is a live and unedited recording of a complete Alexa skill development including the VUI creation in the Alexa Developer Console, and a NodeJS Lambda backend integrating with a DynamoDB database to return data. The last 2 minutes thereafter shows how subsequent code changes can be updated to the Alexa skill in less than 3 seconds, and how the Lambda function could be stepped through and debugged live while it executes on AWS. There is no software to install on your local machine, and you only need a web browser.
This is a live and unedited recording of a complete Alexa skill development including the VUI creation in the Alexa Developer Console, and a Python Lambda backend integrating with a DynamoDB database to return data. We use a stopwatch to time the effort, and including the deployment time of about a minute, we still complete everything in less than 5 minutes! The last part shows how subsequent code changes can be updated to the Alexa skill in less than 3 seconds. There is no software to install on your local machine, and you only need a web browser.
Using just a web browser you can develop Alexa skills, test them and debug them while they execute live on AWS Lambda, with the Sigma IDE. Follow through this demonstration where we create an Alexa Skill from its Voice User Interface (VUI) creation to the Lambda function development in NodeJS or Python.
Apr 24, 2020 | By SLAppForge
A 15 minute video showing the complete process of building a simple Alexa skill using a Lambda function in Python, developed with the Sigma IDE without any other software to download or use. Sigma allows you to update the code on AWS live within about 3 seconds for each iteration - which is significantly lesser than any other IDE or local development framework. Finally drag-and-drop to develop code to integrate with DynamoDB without having to search for sample code and cut and paste them to your functions which is ineffective and error prone.
Mar 31, 2020 | By SLAppForge
SLAppForge Debugger for Java is a toolkit that can be utilized to perform step-through debugging for the Lambda functions executing on live AWS environment, using your own local IDE. It is now available to debug live lambda functions on IntelliJ IDEA. This video is a walkthrough on how to debug AWS Lambda functions in Java on IntelliJ IDEA. For more information visit.