1 00:00:00,480 --> 00:00:06,030 In this section, we are going to create and develop our first lambda function. 2 00:00:06,540 --> 00:00:09,940 So let me start with a lambda of information. 3 00:00:10,410 --> 00:00:17,340 A lambda is the most popular serverless compute platform that is using millions of customers and running 4 00:00:17,340 --> 00:00:20,040 billions of invocations all over the world. 5 00:00:20,760 --> 00:00:24,240 In this video, we are going to order a wave of data which is lambda. 6 00:00:24,630 --> 00:00:30,480 We will see what is a lambda overview of the Lambda Core Concepts. 7 00:00:30,480 --> 00:00:35,640 Example Use cases, main features, best practices of a lambda. 8 00:00:36,060 --> 00:00:42,360 And of course we will walk through a management console with a lambda creating functions, run and testing 9 00:00:42,360 --> 00:00:45,450 functions and see configurations and so on. 10 00:00:45,840 --> 00:00:48,690 So let's start with what is a lambda. 11 00:00:49,320 --> 00:00:55,950 A lambda is a compute service that runs code without thinking any servers or underlying services. 12 00:00:56,460 --> 00:01:01,350 It is a serverless function that you only responsible for your actual code. 13 00:01:01,920 --> 00:01:09,600 So if you look at the Wikipedia definition, a table is lambda is a one table serverless computing platform 14 00:01:09,600 --> 00:01:13,500 provided by Amazon as part of the Amazon Web Services. 15 00:01:13,860 --> 00:01:20,070 It is a computing service that runs code in response to events and automatically manage the computing 16 00:01:20,070 --> 00:01:22,470 resources required by that code. 17 00:01:22,500 --> 00:01:26,040 So it was introduced November 2014. 18 00:01:26,970 --> 00:01:32,760 ADA, which is Lambda provide to create functions self contain the application routine in one of the 19 00:01:32,760 --> 00:01:36,360 supported languages and runtimes and upload to code. 20 00:01:36,360 --> 00:01:43,950 The ADA is lambda and execute towards those functions in an efficient way without thinking, scalability 21 00:01:43,950 --> 00:01:45,480 and availability issues. 22 00:01:46,200 --> 00:01:52,260 So therefore you don't need to worry about which ADA is resources to launch or how will you manage them. 23 00:01:52,470 --> 00:01:56,310 Instead, you need to put the code on lambda and run it. 24 00:01:56,940 --> 00:02:05,430 So there is a supported language runtimes like Node.js, Python, Java, go, ruby, dot net and so 25 00:02:05,430 --> 00:02:05,790 on. 26 00:02:06,180 --> 00:02:10,350 So ADA, which is Lambda, is designed for the event driven architectures. 27 00:02:10,560 --> 00:02:19,530 So example use case such as image or object uploads to Amazon S3 or updates to dynamic DB table responding 28 00:02:19,530 --> 00:02:21,360 to website click and so on. 29 00:02:21,360 --> 00:02:26,550 So that means Amazon a lambda design for the event driven architecture. 30 00:02:26,730 --> 00:02:35,580 Also, a lambda can be used automatically provision backend services triggered by the custom HTTP request 31 00:02:35,580 --> 00:02:39,780 and zipping down such services when not in use to save resources. 32 00:02:40,080 --> 00:02:46,830 So these custom HTTP requests are configured in a API gateway, which can also handle authentication 33 00:02:46,830 --> 00:02:50,150 authorization in conjunction with the ADA, which is cognita. 34 00:02:52,480 --> 00:02:57,610 So if you summarize what is a bullish lambda, we can say that it is. 35 00:02:57,610 --> 00:03:03,790 Lambda is a serverless event driven compute service that lets you run code for virtually any type of 36 00:03:03,790 --> 00:03:09,040 application or backend services without thinking, provisioning or managing servers. 37 00:03:10,400 --> 00:03:16,580 We can trigger lambda function from over 200 Ada Willis services. 38 00:03:16,580 --> 00:03:24,110 So that means a lambda has incredible natural integration with ADA resources and also able to integrate 39 00:03:24,110 --> 00:03:25,610 source applications. 40 00:03:27,000 --> 00:03:30,390 Run code without provisioning or managing infrastructure. 41 00:03:30,420 --> 00:03:34,680 Simply write and upload code as a zip file or container image. 42 00:03:34,710 --> 00:03:41,700 It's automatically respond to the code execution request at any scale from a dozen events for per day 43 00:03:41,700 --> 00:03:44,130 or hundreds or thousands per seconds. 44 00:03:44,130 --> 00:03:48,480 So Lambda is very powerful when it comes to scalability and availability. 45 00:03:48,510 --> 00:03:55,140 You only upload your cost and it will automatically execute your code according to incoming events or 46 00:03:55,140 --> 00:03:56,160 incoming requests. 47 00:03:57,840 --> 00:04:05,010 So you can save your cost by paying only for the complete time you use by per millisecond instead of 48 00:04:05,010 --> 00:04:08,160 provision infrastructure upfront for the peak capacity. 49 00:04:08,190 --> 00:04:11,130 We call this pay as you go model. 50 00:04:11,340 --> 00:04:18,870 This is a common feature for several services, but for a lambda, a charger is per millisecond level. 51 00:04:18,900 --> 00:04:25,710 It is really fair because when it comes to pay as you go model, you can charge by per millisecond execution 52 00:04:25,710 --> 00:04:26,160 time. 53 00:04:26,190 --> 00:04:34,530 It is one of the power of the lambda in terms of the cost management and you can also optimize code 54 00:04:34,530 --> 00:04:39,030 execution time and performance with the right function memory size. 55 00:04:39,180 --> 00:04:45,620 It is response to high demand in double digit milliseconds with provision concurrency feature. 56 00:04:45,660 --> 00:04:52,530 Lambda has a provision concurrency feature that is really powerful when it comes to execute your code 57 00:04:52,530 --> 00:04:54,930 in performance or high demand. 58 00:04:55,410 --> 00:05:00,250 As you can see that we have understand understand that what is a lambda. 59 00:05:00,270 --> 00:05:04,170 In the next video we will see how a lambda is works.