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The Cloud and Amazon Web Services 2014 AWS

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The Cloud and Amazon Web Services , Introduction of Various AWS Services, Virtualization, Stateful and Stateless Applications

The Cloud and Amazon Web Services , Introduction of Various AWS Services, Virtualization, Stateful and Stateless Applications

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The Cloud and Amazon Web Services 2014 AWS The Cloud and Amazon Web Services 2014 AWS Presentation Transcript

  • The Cloud & Amazon Web Services P.S.R Patnaik (www.psrpatnaik.com)
  • Session Outline • What's Cloud Computing ? • Features of Cloud Computing • Virtualization as enabling technology for Cloud • Introduction to Amazon Web Services (AWS) • Services under AWS • Scaling in AWS • Prominent Case Studies (Indian perspective)
  • 3 What is Cloud Computing ? • Computing as a service over the Internet • IBM says: Cloud computing, often referred to as simply “the cloud,” is the delivery of on-demand computing resources—everything from applications to data centers—over the Internet on a pay-for-use basis. • Gartner says: Cloud computing is a style of computing where scalable and elastic IT enabled capabilities are delivered as a service to external customers using Internet technologies
  • 4 Prominent features of Cloud • Elasticity : Cloud is elastic , It can scale up or down to meet increase or decrease in demand. • Pay for what you use: Metered service so you only pay for what you use • Optimal Resource Utilization with help of Virtualization • Delivers Computing paradigm as IaaS , SaaS, PaaS models.
  • 5 Understanding Virtualization • Virtualization technology led to Cloud Computing • Fundamental idea of virtualization is to abstract the hardware of a single computer into several different execution environments. This creates the illusion that each environment is running its own private computer • Virtualization: 1) Hosted Hypervisor virtualization E.g. Virtual Box 2) Bare metal Hypervisor virtualization E.g. VMware ESX
  • 6 Understanding Virtualization… Hosted Hypervisor Bare Metal Hypervisor
  • 7 Amazon Web Services • The Top Cloud solutions provider as date. • Gartner: Magic Quadrant for Cloud Infrastructure as a Service • Forrester Research finds that Amazon Web Services is among the leaders and is "the best fit to the DevOps pro segment and scores high for all segments"
  • 8 Why AWS ? • Flexible: AWS enables organizations to use various programming models, operating systems, databases, and application architectures • Cost-effective: Organizations pay only for what they use, without up-front commitments. • Scalable and Elastic. • Secure: AWS services are in accordance with security best practices & standards. • Experienced: More than fifteen years of experience in delivering large-scale, global infrastructure in a reliable, secure fashion.
  • 9 AWS:Compute & Networking • Amazon EC2 (Virtual Servers in the Cloud) • Auto Scaling • Elastic Load Balancing • Amazon WorkSpaces (Virtual Desktops in the Cloud ) • Amazon VPC (Isolated Cloud Resources) • Amazon Route 53 (Scalable Domain Name System (DNS) ) • AWS Direct Connect (Dedicated Network Connection to AWS )
  • 10 AWS:Storage & CDN • Amazon S3 (Scalable Storage in the Cloud ) • Amazon Glacier( Low-Cost Archive Storage in the Cloud) • Amazon EBS ( EC2 Block Storage Volumes ) • AWS Import/Export ( Large Volume Data Transfer ) • AWS Storage Gateway (Integrates on-premises IT environments with Cloud storage ) • Amazon CloudFront ( Global Content Delivery Network (CDN) )
  • 11 AWS:Database • Amazon RDS ( Managed Relational Database Service for MySQL, Oracle, SQL Server, and PostgreSQL) • Amazon DynamoDB (Fast, Predictable, Highly- scalable NoSQL data store) • Amazon ElastiCache (In-Memory Caching Service • Amazon Redshift (Fast, Powerful, Fully Managed, Petabyte-scale Data Warehouse Service )
  • 12 AWS: Analytics • Amazon EMR (Hosted Hadoop Framework) • Amazon Kinesis (Real-Time Data Stream Processing) • AWS Data Pipeline (Orchestration Service for Periodic, Data-Driven Workflows) • Amazon Redshift (Fast, Powerful, Fully Managed, Petabyte-scale Data Warehouse Service)
  • 13 AWS:Application Services • Amazon AppStream (Low-Latency Application Streaming) • Amazon CloudSearch (Managed Search Service ) • Amazon SWF (Workflow service for coordinating application components) • Amazon SQS (Message Queue Service) • Amazon SES (Email Sending Service) • Amazon SNS (Push Notification Service) • Amazon FPS( API based payment service) • Amazon Elastic Transcoder (Easy-to-use scalable media transcoding)
  • 14 AWS:Deployment and Management Services • AWS Management Console (Web-Based User Interface) • AWS Identity and Access Management (IAM) (Configurable AWS Access Controls) • AWS CloudTrail (User Activity and Change Tracking) • Amazon CloudWatch ( Resource and Application Monitoring ) • AWS Elastic Beanstalk (AWS Application Container ) • AWS CloudFormation (Templates for AWS Resource Creation) • AWS OpsWorks (DevOps Application Management Services) • AWS CloudHSM (Hardware-based Key Storage for Regulatory Compliance)
  • 15 Problems faced by every startup • Fault tolerance, high availability & scalability are essential prerequisites for any enterprise application deployment • One of the major concerns is avoiding single points of failure • There is a high cost associated with achieving high availability & scalability.
  • 16 Solutions • Traditional solution – Buying safety-net capacity (not affordable and feasible for startups) • Better solution (Need for cloud) – Scale-up the system when the load increases – Scale-down the system when the load decreases – Should not have idling nodes – Virtualization – Pay only for the actual computing power & bandwidth utilized
  • Scaling (AWS Perspective) • Vertical Scaling : Supports Stateless and Stateful applications • Horizontal Scaling: Supports Stateless applications.
  • Vertical Scaling
  • Vertical Scaling…
  • Vertical Scaling…
  • Vertical Scaling…
  • Vertical Scaling…
  • Horizontal Scaling
  • Horizontal Scaling…
  • Horizontal Scaling…
  • Horizontal Scaling…
  • Horizontal Scaling…
  • Horizontal Scaling…
  • Scaling (AWS Perspective) • Vertical Scaling Pros: – Simple & Easy – Less code – Less machines to maintained Cons: – Downtime involved – Coarse Granularity of Scaling • Horizontal Scaling Pros – No downtime involved – Smooth Scaling Cons: – More code – Application has to be stateless
  • Case studies: Indian Companies using AWS
  • Asia Pacific Companies Using AWS
  • Global Inc Using AWS
  • Thank you !!!