Tryst 2018 IIT Delhi

Cloud Computing Workshop

 

Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications.

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Vivek Kumar Singh +91-8744059520
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  • cloud computing applications, Training, Course

Course Description

OVERVIEW

Cloud computing has recently emerged as one of the buzzwords in the IT industry. Numerous IT vendors are promising to offer computation, storage, and application hosting services and to provide coverage in several continents, offering service level agreements (SLA) backed performance and uptime promises for their services. While these "clouds" are the natural evolution of traditional data centers, they are distinguished by exposing resources (computation, data, and applications) as standards-based Web services and following a "utility" pricing model where customers are charged based on their utilization of computational resources, storage, and transfer of data. They offer subscription-based access to infrastructure, platforms, and applications that are popularly referred to as IaaS (Infrastructure as a Service), PaaS (Platformas a Service), and SaaS (Software as a Service).

The duration of this workshop will be 1 day, with Ten hours session ,.Certificate of participation will be provided by RoboTryst 2018 in association with Tryst IIT Delhi.


Best Suited for: All B.Tech/B.E./BCA/BSc Students

Day 1 (Session 1)

Introduction to Cloud Computing
  • What is the cloud?
  • History of Cloud Computing
  • How Cloud Computing Works
  • Advantages & Disadvantages
  • Traditional Computing Vs Cloud Computing
  • Types of cloud Computing
  • Cloud Service Model (IAAS, PAAS, SAAS)
  • Deployment model of Cloud Computing Private | Public | Hybrid

Day 1 (Session 2)

Concept building : IAAS, PASS & SAAS

Introduction to IAAS Service Providers

  • Amazon Web Services EC2
  • Rackspace
  • Eucalyptus

Introduction to PAAS Providers(Integrated)

  • Google AppEngine
  • Microsoft Azure

Introduction to PAAS Providers(Anchored)

  • SalesForce.com Force.com Platform
  • Intuit

Introduction to SAAS providers

  • SalesForce.com Ecosystem

Day 1 (Session 3)

Introduction to Virtualization

  • Cloud Computing Architecture & Terminology.
  • Types of Virtualization < type1, type 2 & hybrid >.
  • Difference between Traditional & Virtualized Environment.
  • Practically accessing Cloud Virtual Machine.
Entering the World of IAAS
  • Virtualization benefits.
  • Server Virtualization.
  • Virtualization Hypervisor(Hyper-v) & Virtual Network Management Software (SCVMM).
  • Understanding types of VHD'S.
  • Understanding different types of Virtual Network.
Big Data, Hadoop & Analytics
  • Differentiate b/w serial and parallel file system.
  • Introduction to Distributed file system.
  • Understanding Big Data.
  • Understanding Data Generation Sources.
  • Defining Big DATA.
  • History OF Google File System.
  • Introduction to APACHE HADOOP.
  • Concept Building for HDFS & MapReduce.
  • Installation of IBM Info-sight HADOOP Virtual Instance.
  • Learning to load / unload data sets into HDFS.
  • Running Word Count Job using MAP- REDUCE.
  • Guidelines for setting up of CLOUDS LAB

Practicals: Installation & Configuration of Microsoft server 2008 R2 Server Operating System, domain & AD-DS, configuring Server –Client Model. Installing Hyper-v, configuring virtual machines, Snapshots, failover clustering with High Availability on Virtual network.

Note:  *depending on the time availability and lab setup

Photo Gallery

Video Gallery

Software tool kit (cd)

Overview

OVERVIEW

Cloud computing has recently emerged as one of the buzzwords in the IT industry. Numerous IT vendors are promising to offer computation, storage, and application hosting services and to provide coverage in several continents, offering service level agreements (SLA) backed performance and uptime promises for their services. While these "clouds" are the natural evolution of traditional data centers, they are distinguished by exposing resources (computation, data, and applications) as standards-based Web services and following a "utility" pricing model where customers are charged based on their utilization of computational resources, storage, and transfer of data. They offer subscription-based access to infrastructure, platforms, and applications that are popularly referred to as IaaS (Infrastructure as a Service), PaaS (Platformas a Service), and SaaS (Software as a Service).

The duration of this workshop will be 1 day, with Ten hours session ,.Certificate of participation will be provided by RoboTryst 2018 in association with Tryst IIT Delhi.


Best Suited for: All B.Tech/B.E./BCA/BSc Students

Course

Day 1 (Session 1)

Introduction to Cloud Computing
  • What is the cloud?
  • History of Cloud Computing
  • How Cloud Computing Works
  • Advantages & Disadvantages
  • Traditional Computing Vs Cloud Computing
  • Types of cloud Computing
  • Cloud Service Model (IAAS, PAAS, SAAS)
  • Deployment model of Cloud Computing Private | Public | Hybrid

Day 1 (Session 2)

Concept building : IAAS, PASS & SAAS

Introduction to IAAS Service Providers

  • Amazon Web Services EC2
  • Rackspace
  • Eucalyptus

Introduction to PAAS Providers(Integrated)

  • Google AppEngine
  • Microsoft Azure

Introduction to PAAS Providers(Anchored)

  • SalesForce.com Force.com Platform
  • Intuit

Introduction to SAAS providers

  • SalesForce.com Ecosystem

Day 1 (Session 3)

Introduction to Virtualization

  • Cloud Computing Architecture & Terminology.
  • Types of Virtualization < type1, type 2 & hybrid >.
  • Difference between Traditional & Virtualized Environment.
  • Practically accessing Cloud Virtual Machine.
Entering the World of IAAS
  • Virtualization benefits.
  • Server Virtualization.
  • Virtualization Hypervisor(Hyper-v) & Virtual Network Management Software (SCVMM).
  • Understanding types of VHD'S.
  • Understanding different types of Virtual Network.
Big Data, Hadoop & Analytics
  • Differentiate b/w serial and parallel file system.
  • Introduction to Distributed file system.
  • Understanding Big Data.
  • Understanding Data Generation Sources.
  • Defining Big DATA.
  • History OF Google File System.
  • Introduction to APACHE HADOOP.
  • Concept Building for HDFS & MapReduce.
  • Installation of IBM Info-sight HADOOP Virtual Instance.
  • Learning to load / unload data sets into HDFS.
  • Running Word Count Job using MAP- REDUCE.

Project

Project to be Covered

  • Guidelines for setting up of CLOUDS LAB

Practicals: Installation & Configuration of Microsoft server 2008 R2 Server Operating System, domain & AD-DS, configuring Server –Client Model. Installing Hyper-v, configuring virtual machines, Snapshots, failover clustering with High Availability on Virtual network.

Note:  *depending on the time availability and lab setup

Kit

Software tool kit (cd)

Photo Gallery

Photo Gallery