Cloud Computing
- 1. By: 1398003 1398025 ##nicest friends
- 3. NEEDS To reduce the IT operations and management costs Cloud model of software architecture
- 4. Different Cloud Service Models ? Infrastructure as a service (IaaS) Platform as a service (PaaS) Software as a service (SaaS)
- 10. Amazon Web Services(AWS) :- Amazon Web Services (AWS), a collection of remote computing services, also called web services, make up a cloud- computing platform offered by Amazon.com. These services operate from 11 geographical regions across the world. The most central and well-known of these services arguably include Amazon Elastic Compute Cloud and Amazon S3. Amazon markets these products as a service to provide large computing-capacity more quickly and more cheaply than a client company building an actual physical server farm.
- 11. Microsoft Azure : Microsoft Azure is a cloud computing platform and infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft- managed and Microsoft partner hosted datacenters. It provides both PaaS and IaaS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014.
- 12. AWS: Comparing the Basics In broad strokes, both Amazon and Microsoft organize AWS' and Azure's respective features into similar groups. AWS' four core features consist of: 1. Compute 2. Storage & Content Delivery 3. Databases 4. Networking --all operating under Amazon's extensive admin controls, which include identity management, auditing, encryption key creation/control/storage, monitoring and logging, and more. AWS also gives its customers powerful analytics (Amazon EMR is the company's Hadoop framework, and Kinesis can do data stream processing in real time) and tons of application services and deployment options.
- 13. AZURE: Comparing the Basics Azure essentially covers these bases, too, lumping them into four general categories or functions: 1. Build infrastructure 2. Develop modern applications 3. Gain insights from data 4. Manage identity and access. Azure has its own Hadoop implementation, HD Insight, and Apache Storm can do real-time stream processing. You can get virtual machines (VMs) off the ground quickly and give your devices what they need to build and deploy apps. Storage and database options abound, as well.
- 14. TYPES OF CLOUD Public Cloud Private Cloud Community Cloud Hybrid Cloud Combined Cloud
- 15. ISSUES RELATED TO CLOUD COMPUTING Cloud computing may create a dependence on the provider (Google, Amazon) and may make it difficult to move to another platform. Google itself admits that Google App Engine is targeted at consumer applications, not businesses. There’s always the risk that the Cloud provider may change business models or even go out of business.
- 16. PROS AND CONS : ADVANTAGES: Software as a Subscription Reduced Software Maintenance Increased Reliability Environmentally Friendly Cost Reduction Portability/Accessibility
- 17. PROS AND CONS : DISADVANTAGES: Bandwidth could bust your budget App performance could suffer Data might not be cloud-worthy Too big to scale
- 18. Conclusions Cloud Computing is the fastest growing part of IT Tremendous benefits to customers of all sizes Cloud services are simpler to acquire and scale up or down Public clouds work great for some but not all applications Private clouds offer many benefits for internal applications Public and private clouds can be used in combination
- 19. THANK YOU For any doubt and questions Contact us : carvalhostephen20@gmail.com darshilparmar33@gmail.com Or call me maybe :P