Agile Team Health Sensor

Health sense is proof of concept (POC) project using cloud technologies to help enable teams to self self navigate their end to end production pipeline across their  Agile Planning  and their DevOps Deployment using the  OODA  (Observe, Orientate, Decide , Act loops ) as a learning and adaption process 

The goal is help anchor the teams focus to improve the flow of information and expand expertise so the team can learn enabling teaming practices to emerge faster and be scaled as  fractals  across the enterprise ecosystem   

Health sensor is being developed using in S3 static, with Google Chart Tools to enable a rich gallery of interactive charts to promote a more immersive visual experience. And provisioned with a server less stack across Amazon Restful AWS endpoint with synchronous (push) into an AWS Node,js Lambda function using Amazon DynamoDB as the back end

Agile Game - Story Telling

We are experimenting with an online story and visualization, as an agile process. Where the user community is building the story-line. To build and interact with the community through multiple channels and layers of interactivity.

With this contextual storytelling localized to teams that can make things more personnel an connect people to build story bridges. 

In this emergent “game play” we do not understand the end result. It emerges through story telling and chaos theory

It will be built on multiple interaction points, cloud native and not dictated by any any format and using multiple access technologies , to provide the user an immersive experience

Sentiment Analysis of Agile Maturity Parameters

A fictitious organization has been growing very quickly and maturing the health of their DevOps. After each product release the Delivery Teams want to understand how consumers are enjoying and using their products. Additionally the delivery teams want to ensure that the consumers are are having a good experience with their services .

The company sees an opportunity the Delivery and customer experience teams to work closer together to capture the following insights from social media and  operational metrics and logs. Specifically from social media :

  • How consumers are using their products
  • Ensure customer satisfaction
  • Plan future road maps 

Hence we chose Amazon Kinesis as a way to ingest and process incoming events.

Will use AWS Amazon Kinesis is scalable to ingest the information from social media sites and other data producers to and will scale it up/down your Streams by adding/removing more shards. And we will use Lambda functions (i.e. executable piece of code) to process events by linking it to the Kinesis stream. As soon as an event appears on the stream the Lambda function will be executed, to complete the sentiment analysis .


Establishing  POC using AWS cloud based services to build and application on Amazon EC2, to poll the social media sites through their respective API’s and operational metrics to create AWS Kinesis streams for  each site and then using lambda function for processing and normalizing the data and requesting  sentiment analysis predictions from Amazon Machine Learning 

Business Process Management - The Next Wave

The promise of the next wave of BPM services will be more be more visually driven, low-code environment to better enable collaboration across business and IT and foster greater innovation and organisational agility 

The cloud will provide more opportunities to develop integrate and automate processes with artificial intelligence and robotics, to unify business processes, customer journeys and DevOps end-to-end. And through real-time insights from operations and market intelligence will increase the agility and scalability of business  

The cloud will redefine BPM to manage much richer immersive complex environments. The cloud will continue to build “virtual networks of inter-operating clouds (private, public and hybrid), and business complexity will grow exponentially. A new wave of BPM tools and methods is required to build businesses that can operate in complex ecosystems, and are adaptive work on the edge of chaos  

First phase will automate business rules management to provide the process triggers from events 

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