Cloud Community Days

17-19 June 2020 Online

"Ride the Cloud Revolution"

Thank you for joining us!

3 Days 22 communities 29 Experts 3000+ Participants

Speakers

Aaron

Serverless DevOps

Aaron Powell

Microsoft

Abhishek Gupta

Tour of Dapr: a runtime for microservices development

Abhishek Gupta

Microsoft

aditya

Together in COVID-19: Health of India

Aditya Raman

KonfHub

Anisha

Stepping into the world of Open Source

Anisha Swain

Red Hat

Aravind

Running Elasticsearch {Stack} on Kubernetes

Aravind Putrevu

Elastic

Arjun

Build a sentiment analysis Bot by Integrating A2019 (RPA platform) with Microsoft Azure cognitive services

Arjun S Meda

Automation Anywhere

Arjun

End to End machine learning model development using Microsoft Azure

Arpita Gupta

Accenture

chinmaye

How open source contribution helps in AI

Chinmaye Jain

Witsy limited

dave_glover

Raspberry Pi Air quality monitor and Azure IoT Central

Dave Glover

Microsoft

hamida

Containerize Microservices with Service Fabric

Hamida Rebai

Revenu Quebec

hamida

Understanding ML through Memes

Harsh Aryan

Microsoft Student Partner

Henk

Build and deploy PyTorch models with Azure Machine Learning

Henk Boelman

Microsoft

Kamesh

4K Streaming in Cloud with Kubernetes, Knative, Kafka, Kamel

Kamesh Sampath

Red Hat

leena

Accelerating deployment with Azure DevOps

Leena N

Yoga Tree

mamtha

Building, Deploying and Managing Microservices-based Applications with Azure pipeline and AKS

Mamta Jha

TechScalable

Menaka

Leading Edge of Modern Web Apps on Azure

Menaka Basker

Accenture Digital

mithun

My experiences building CloudSkew (a browser-based, real-time diagram editor on the cloud)

Mithun Shanbhag

Skewed Ventures

murugan

Accelerating deployment with Azure DevOps

Murughan Palaniachari

EY

nancy

Service Mesh and Why You Should Use It

Nancy Chauhan

Grofers

Niharika_Krishnan

Diving into the world of spell checks!

Niharika Krishnan

Tata Consultancy Services

niloshima

Understanding Azure Batch Service

Niloshima Srivastava

Vichara Technologies

Abhishek Gupta

Machine Learning with Azure Cognitive Services: Face Recognition and Deep Fake Detection

Priyanka Shah

Franklin Templeton

Ritesh

Identifying People Wearing Masks from Image using Cognitive Services

Ritesh Modi

Hon. Regional Director Microsoft

sandeep

Life is what YOU make it!

Sandeep Kanabar

NortonLifeLock

Seema

The World of Containers with - Podman, Buildah, Skopeo.

Seema Saharan

Mentor and Open Source Contributor

Sayantika

Intro to debugging Django and Building insights

Sayantika Banik

Continual Engine

Usha

Natural Language Processing using Azure

Usha Rengaraju

Infinite-Sum Modeling

Vishal

MagicScaling event pipelines with Keda & Virtual Kubelet

Vishal Biyani

InfraCloud Technologies

Vivek

AI/ML solutions to tackle COVID-19

Vivek Raja

15x Hackathon Winner

Conference Day-wise Themes

location

Day 1: Cloud Native

17 June 2020

Transport

Day 2: AI & ML

18 June 2020

Hotel & Restaurant

Day 3: Serverless, DevOps ...

19 June 2020

AGENDA

Staring 2019, we started to see “Serverless” taking center stage in all application architectures with enterprise integration and data streaming being no exception. With Kubernetes becoming the standard to run your application workloads in cloud, there isn’t’ one simple way to build highly scalable platform to integrate streaming data and enterprise applications without compromising enterprise compliance. In this session we will explore the four pillars Kubernetes,Knative,Kafka and Kamel to know how they help you build the much needed platform for enterprise integration and data streaming which can scale to infinity without comprising on your cloud resource costs.

Elasticsearch is the world's most popular open source search engine. Kubernetes (k8s) is the popular container orchestration engine giving developers the flexibility to run all sorts of workloads easily. Elastic launched the Elasticsearch k8s operator sometime ago. With this, one can not only run Elasticsearch on k8s but also can launch other Elastic Stack solutions like APM Server. Help run rolling upgrades, manage data etc.

Dapr (or Distributed Application Runtime) is a portable, event-driven runtime that makes it easy for developers to build resilient, microservice stateless and stateful applications that run on the cloud. This talk provides an overview of Dapr, how it works and enables distributed application development. Dapr simplies things by codifying development best practices into open, independent, building blocks that enable you to build portable applications with the language and framework of your choice. The talk also goes deeper into these components such as state stores, messaging, resource bindings etc. along with demos to see things “in action”.

What do you do when life throws you a curveball? How do you handle interview phone calls when you have lost the ability to hear? How do you deal with a client when you are unable to lip-read him? Laced with humour and real life experiences, this talk is about how Life is what YOU make it!

Join Dave Glover and learn about the pollution monitor solution he built and used during the Australian bush fires. You will learn about using Visual Studio to build a Python application on a Raspberry Pi, and how to create a free IoT Central application to chart the current pollution levels.

I'll talk about lessons learnt, key decisions & trade offs made while building cloudskew.com, an online editor for creating cloud architecture diagrams. Some topics I'll touch upon: 

  • Why PaaS + Serverless instead of IaaS?
  • Horizontal auto-scaling
  • Queue based load
  • levelling
  • Centralized configuration management
  • Debouncing calls to server
  • Continuous Integration vs deployment vs release
  • Upcoming architectural changes to handle scale

Are you bored of installing Virtual Machines(VM) every time, and waiting for the time to install one? Are you still doing all your Linux container management using an insecure, bloated daemon? In this era, we are using containers in the IT industry, there are many container tools present in the enterprise. I will be talking about the three daemon-less Linux Container tools i.e. Podman, Buildah, and Skepeo by Redhat.

The health of India is an initiative to fight against the pandemic COVID-19. This is an open-source project, where we collect health data from people living in different parts of the world. We are trying to sufficient and efficient nationwide self-assessed database of people who are showing symptoms of COVID19. This database can be used by developers and concerned authorities to establish some relationship between the geographical areas, climatic conditions, age and health condition of the people. Use cases of these data and still trying to figure out more - Help data scientists forecast the next outbreak - Channelize government sanitization efforts in places where sick patients are found. - Find symptomatic and infected patients near you - See real-time data of COVID-19 patients on the map.

Service Fabric is the foundational technology introduced by Microsoft Azure to empower the large-scale Azure service. In this session, you’ll get an overview of containers like Docker after an overview of Service Fabric, explain the difference between it and Kubernetes as a new way To Orchestrate Microservices. You’ll learn how to develop a Microservices application and how to deploy those services to Service Fabric clusters and the new serverless Service Fabric Mesh service. We’ll dive into the platform and programming model advantages including stateful services and actors for low-latency data processing and more. You will learn: Overview of containers Overview of Service Fabric Difference between Kubernetes and Service Fabric Setup Environment to start developing an application using Microservices with Service Fabric.