1 00:00:00,140 --> 00:00:01,540 ‫As we will see in this course, 2 00:00:01,540 --> 00:00:03,500 ‫there are different types of Cloud Computing, 3 00:00:03,500 --> 00:00:06,380 ‫and it is important for us to be able to recognize them. 4 00:00:06,380 --> 00:00:11,350 ‫The first one is called Infrastructure as a Service or IaaS. 5 00:00:11,350 --> 00:00:14,760 ‫This is to provide the building blocks for cloud IT. 6 00:00:14,760 --> 00:00:18,180 ‫With this IaaS, we're going to provide networking, 7 00:00:18,180 --> 00:00:21,870 ‫computers and data storage space in its raw form. 8 00:00:21,870 --> 00:00:24,650 ‫And using these building blocks deals building Legos, 9 00:00:24,650 --> 00:00:27,690 ‫we're going to be given a very high level of flexibility, 10 00:00:27,690 --> 00:00:29,770 ‫and we can easily understand 11 00:00:29,770 --> 00:00:31,600 ‫how we can migrate from traditional 12 00:00:31,600 --> 00:00:33,262 ‫on-premises IT to the cloud. 13 00:00:33,262 --> 00:00:36,890 ‫That is the first service we'll see in this course, 14 00:00:36,890 --> 00:00:38,790 ‫which is going to be easy too. 15 00:00:38,790 --> 00:00:41,570 ‫Then we're going to get Platform as a Service. 16 00:00:41,570 --> 00:00:43,370 ‫In this, we're going to remove the need 17 00:00:43,370 --> 00:00:45,090 ‫for your organization to manage 18 00:00:45,090 --> 00:00:47,150 ‫the underlying infrastructure. 19 00:00:47,150 --> 00:00:49,250 ‫And you can just focus on the deployment 20 00:00:49,250 --> 00:00:51,400 ‫and management of your applications. 21 00:00:51,400 --> 00:00:53,280 ‫And then one step even further, 22 00:00:53,280 --> 00:00:55,423 ‫is Software as a Service or SAS. 23 00:00:55,423 --> 00:00:58,060 ‫This is a completed product 24 00:00:58,060 --> 00:01:02,020 ‫that is going to be run and managed by the service provider. 25 00:01:02,020 --> 00:01:03,950 ‫So if you want to compare all these things, 26 00:01:03,950 --> 00:01:05,650 ‫well, let's take an example. 27 00:01:05,650 --> 00:01:08,280 ‫On-premise is you're going to manage everything. 28 00:01:08,280 --> 00:01:10,220 ‫So your applications, your data, 29 00:01:10,220 --> 00:01:12,020 ‫your runtime, your middleware, 30 00:01:12,020 --> 00:01:15,000 ‫the operating system, virtualization, servers, 31 00:01:15,000 --> 00:01:17,130 ‫storage and networking. 32 00:01:17,130 --> 00:01:18,580 ‫And that's a lot. 33 00:01:18,580 --> 00:01:21,580 ‫With IaaS, Infrastructure as a Service, 34 00:01:21,580 --> 00:01:23,380 ‫we're going to manage the application, 35 00:01:23,380 --> 00:01:25,160 ‫the data, the runtime, the middleware, 36 00:01:25,160 --> 00:01:28,620 ‫and the OS, but all the virtualization, 37 00:01:28,620 --> 00:01:30,520 ‫servers, storage and networking, 38 00:01:30,520 --> 00:01:32,460 ‫are going to be managed by others. 39 00:01:32,460 --> 00:01:34,610 ‫And in our case, AWS. 40 00:01:34,610 --> 00:01:35,860 ‫With Platform as a Service, 41 00:01:35,860 --> 00:01:37,540 ‫we manage even less. 42 00:01:37,540 --> 00:01:39,600 ‫So everything from the runtime 43 00:01:39,600 --> 00:01:41,350 ‫to the networking is managed by AWS. 44 00:01:41,350 --> 00:01:43,970 ‫And the only thing we care about 45 00:01:43,970 --> 00:01:45,860 ‫when we use a Platform as a Service 46 00:01:45,860 --> 00:01:48,720 ‫is our application and our data. 47 00:01:48,720 --> 00:01:51,610 ‫And finally, well if you're using Software as a Service, 48 00:01:51,610 --> 00:01:54,960 ‫everything is going to be managed by AWS. 49 00:01:54,960 --> 00:01:56,540 ‫So how does it translate? 50 00:01:56,540 --> 00:02:00,270 ‫Well, with IaaS, we can use Amazon EC2 on AWS. 51 00:02:00,270 --> 00:02:02,440 ‫We have other services such as Google Cloud, 52 00:02:02,440 --> 00:02:05,400 ‫Azure, Rackspace, Digital Ocean, and Linode, 53 00:02:05,400 --> 00:02:06,550 ‫which will provide us 54 00:02:06,550 --> 00:02:09,910 ‫Cloud Computing Infrastructure as a Service. 55 00:02:09,910 --> 00:02:10,743 ‫Platform as a Service 56 00:02:10,743 --> 00:02:13,350 ‫also exists on AWS with Elastic Beanstalk 57 00:02:13,350 --> 00:02:15,920 ‫and we'll see all these services obviously in this course. 58 00:02:15,920 --> 00:02:17,800 ‫And outside of AWS, 59 00:02:17,800 --> 00:02:22,120 ‫we have Heroku, Google App Engine and Windows Azure. 60 00:02:22,120 --> 00:02:23,300 ‫For Software as a Service, 61 00:02:23,300 --> 00:02:25,120 ‫we'll also have this on AWS, 62 00:02:25,120 --> 00:02:28,230 ‫that represents many services of AWS for example, 63 00:02:28,230 --> 00:02:31,220 ‫recognition when we want to do some Machine Learning, 64 00:02:31,220 --> 00:02:32,660 ‫but we've been using it as well 65 00:02:32,660 --> 00:02:35,560 ‫in the real world with Google Apps such as Gmail, 66 00:02:35,560 --> 00:02:38,430 ‫or Dropbox or zoom for your meetings. 67 00:02:38,430 --> 00:02:40,260 ‫So the clouds have different flavors. 68 00:02:40,260 --> 00:02:41,650 ‫But one thing is common 69 00:02:41,650 --> 00:02:44,905 ‫is that the pricing is very different from what you know. 70 00:02:44,905 --> 00:02:47,730 ‫AWS has three pricing fundamentals 71 00:02:47,730 --> 00:02:50,330 ‫and it will follow the pay-as-you-go pricing model. 72 00:02:50,330 --> 00:02:53,310 ‫So for the compute, and that represents various services, 73 00:02:53,310 --> 00:02:54,143 ‫where you're going to pay 74 00:02:54,143 --> 00:02:56,270 ‫for the exact compute time. 75 00:02:56,270 --> 00:02:57,990 ‫For the storage, we're going to pay 76 00:02:57,990 --> 00:03:00,817 ‫for the exact amount of data stored in the cloud. 77 00:03:00,817 --> 00:03:03,720 ‫And for the networking, we're going to only pay 78 00:03:03,720 --> 00:03:05,760 ‫when the data leaves the cloud. 79 00:03:05,760 --> 00:03:09,090 ‫Any data that goes into the cloud is free. 80 00:03:09,090 --> 00:03:13,350 ‫And this solves the expensive issue of traditional IT. 81 00:03:13,350 --> 00:03:15,520 ‫Because now we only pay exactly what we need 82 00:03:15,520 --> 00:03:18,430 ‫and so we have huge cost savings ahead of us. 83 00:03:18,430 --> 00:03:19,830 ‫So that's it for this lecture. 84 00:03:19,830 --> 00:03:20,663 ‫In the next lecture, 85 00:03:20,663 --> 00:03:22,713 ‫we'll be having a deeper dive on AWS