1 00:00:00,270 --> 00:00:05,400 In this video, we are going to talk about a cost management. 2 00:00:06,380 --> 00:00:14,390 During the course, we will provision and deploy lots of aid services on a soulless cloud environment 3 00:00:14,480 --> 00:00:18,680 and these are mostly free services with the PDT account. 4 00:00:19,600 --> 00:00:21,310 Then I prepared this course. 5 00:00:21,370 --> 00:00:27,160 Ada didn't charge me any amount of money from Ada Lovelace with definitive account. 6 00:00:27,280 --> 00:00:30,970 So if you follow me with pretty record, you don't get charged. 7 00:00:31,270 --> 00:00:37,390 But you should consider and careful that these are paid services that come with the cost. 8 00:00:38,180 --> 00:00:40,490 So let me show my billing result. 9 00:00:40,520 --> 00:00:45,710 Here is my cost and usage for our course development. 10 00:00:45,830 --> 00:00:53,540 As you can see that I didn't charge any amount of cost for my usage and here is the multi-tier usage 11 00:00:53,540 --> 00:00:55,550 of the services. 12 00:00:55,580 --> 00:01:01,520 As you can see that I have sent lots of requests to the services when preparing this course. 13 00:01:01,790 --> 00:01:06,920 And all these services has zero cost of me with following the detailed account. 14 00:01:07,340 --> 00:01:16,190 See that I have almost 300 request usage for a lambda 200 request for a case and these are spending 15 00:01:16,190 --> 00:01:18,140 very low amount of the limits. 16 00:01:19,180 --> 00:01:27,820 You can also see the place finisher account usage limits under the second column here, the limits in 17 00:01:27,820 --> 00:01:32,050 here, and we only use very low amount of the limit. 18 00:01:33,460 --> 00:01:40,870 So you can see this detail page into the cost management module than you can access from your dashboard 19 00:01:40,870 --> 00:01:43,030 page in the management console. 20 00:01:43,060 --> 00:01:45,310 But you should log in with the root user. 21 00:01:45,340 --> 00:01:47,860 Only root user can see these details. 22 00:01:48,460 --> 00:01:52,150 Now I would like to show you a place visitor account limits. 23 00:01:52,150 --> 00:01:56,650 You can also see a little account limits from the official website. 24 00:01:56,680 --> 00:02:04,510 If you open the a free tier account page, you can scroll down and see in here. 25 00:02:04,780 --> 00:02:08,350 As you can see that there is some filters according to type. 26 00:02:08,350 --> 00:02:16,210 If you click the always free, you can see that really good amount of free usage limits giving. 27 00:02:16,210 --> 00:02:22,630 With the free tier account which is free to account, we can use more than 100 products for building 28 00:02:22,630 --> 00:02:27,700 applications and most of the services allow a good amount of users depending on the product. 29 00:02:27,760 --> 00:02:34,090 But I can say that these free tier account is really, really sufficient to develop something like average 30 00:02:34,090 --> 00:02:35,650 applications on a list. 31 00:02:36,280 --> 00:02:38,350 So infinity, the account details. 32 00:02:38,350 --> 00:02:46,240 If you click the always free checkbox in here, we can see that 25 gigabyte dynamo DB 1 million Lambda 33 00:02:46,240 --> 00:02:53,470 Requests, 1 million Amazon SNS request and one Terabyte, Amazon Cloud Pro and so on. 34 00:02:53,470 --> 00:02:59,050 So these are good amount of numbers that you can create your own startup application with this three 35 00:02:59,350 --> 00:03:04,150 tier account and the power of the high scalability and high availability. 36 00:03:05,530 --> 00:03:07,780 So if you come back to our slide. 37 00:03:09,790 --> 00:03:13,930 So now we can talk about to be careful when following this course. 38 00:03:14,080 --> 00:03:21,370 I always clear resources after finish the section or leave from computer at this stage. 39 00:03:21,400 --> 00:03:28,810 I would like to emphasize the quote from the ADA CTO Werner Vogels about the cloud usage and global 40 00:03:28,810 --> 00:03:29,500 warming. 41 00:03:29,980 --> 00:03:33,790 Why don't Google set that turn off the lights before leaving the room? 42 00:03:34,360 --> 00:03:40,960 So you can think that if you leave from your computer and shut the light off, that means you also shut 43 00:03:40,960 --> 00:03:42,850 down the resources. 44 00:03:43,240 --> 00:03:49,720 He's saying this for the unused resources on the cloud, but from our course perspective, we can also 45 00:03:49,720 --> 00:03:54,230 follow this code because we don't need to stay live on production. 46 00:03:54,250 --> 00:04:01,120 We can think that we are going to prepare demo session with your customer and you should show the serverless 47 00:04:01,120 --> 00:04:03,670 applications during the customer presentation. 48 00:04:03,670 --> 00:04:08,800 And after that we should shut down the resources since new customer session arranged. 49 00:04:09,530 --> 00:04:16,100 Please consider this and clear all resources after you finish the work at that day or you are leaving 50 00:04:16,100 --> 00:04:16,910 to your computer. 51 00:04:16,940 --> 00:04:24,920 This is very important and the second consideration is don't share a place, account, sub user or API 52 00:04:24,920 --> 00:04:26,840 access K with anyone. 53 00:04:27,410 --> 00:04:35,540 So this is another important topic that we should consider that a s account has sub user and API access 54 00:04:35,540 --> 00:04:41,510 case and we should not share this information for anyone or any time period. 55 00:04:41,540 --> 00:04:48,410 This is so important rule to avoid unexpected costs from a w is when you share this, that means you 56 00:04:48,410 --> 00:04:50,570 allow someone to create resources on a w. 57 00:04:51,110 --> 00:04:53,060 So please consider these warnings. 58 00:04:53,060 --> 00:04:58,040 And if you follow these principles, you won't be charged any costs during the course. 59 00:04:58,070 --> 00:04:59,930 Now we can start our course.