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Murali Cheruvu (FA18-516-11)

Week 1: 08/20 - 08/24

Week 2: 08/27 - 08/31

  • Joined the class
  • Created the Biodata in Piaza
  • Created accounts with GitHub, - Chameleon, and future systems
  • Going through the Plagiarism Course

Week 3: 09/03 - 09/07

  • Went through Cloud Computing Material
  • Started looking around (kaggle) for the project ideas

Week 4: 09/10 - 09/14

  • Continue reading Cloud Computing Material, mainly the difference between IaaS and PaaS
  • Selected Cloud Foundry as my contribution to the chapters

Week 5: 09/17 - 09/21

  • Reading and playing with Cloud Foundry as documenting my findings towards the chapter
  • Attended online class
  • Talked to Professor about my project idea - Converting images of Math equations to LaTex equations using Deep Learning - CNN and RNN networks.
  • Continue reading Cloud Computing concepts
  • Continue research on the project and playing with python deep learning libraries - keras and Tensorflow.

Week 6: 09/24 - 09/28

  • Completed the draft of Cloud Foundry MD file and requested professor to review it
  • Need to work on the topics - how to deploy Cloud Foundry onto public clouds: AWS and Azure

Week 7: 10/01 - 10/05

  • Read Cloud DevOp Concepts - CI/CD pipelines, Infrastructure-as-Code and Continuous Improvement
  • Write Topic on DevOp -Conntinuous Improvement

Week 8: 10/08 - 10/12

  • Learn Azure DevOp Tools - Azure Monitor and related tools
  • Write Topic on Azure DevOp Tools

Week 9: 10/15 - 10/19

  • Learn AWS DevOp Tools
  • Write Topic on AWS DevOp Tools

Week 10: 10/22 - 10/26

  • Learn Function-as-Service (FaaS) concepts
  • Play with Azure Functions using C# to write Web-hooks, timer/scheduler jobs, messaging events to event grid/hub

Week 11: 10/29 - 11/02

  • Play with AWS Lambda
  • Deploy C# FaaS to AWS Lamdd

Week 12: 11/05 - 11/09

  • Learn OpenFaaS - open source Function-as-service platform
  • Learn how to write/deploy python applications onto OpenFaaS
  • Continue the project report

Week 13: 11/12 - 11/16

  • Work on the project using Machine Learning - CNN Algorithm for image classification
  • Work on OpenFaaS function to classify the uploaded image using the model that has been created (a-head of the time)
  • Continue the project report

Week 14: 11/19 - 11/23

  • Compplete the project end-to-end using OpenFaaS, Docker Container to create, test, deploy and test the deployed package
  • Implement couple of FaaS functions
  • Deploy to Azure and test it there
  • Continue the project report

Week 15: 11/26 - 11/30

  • Make necessary changes to the project and/or project report based on the feedback from Professor and/or TA