For two reasons really – at work we have quite a few scenarios when the same objects in S3 need to be presented in different shapes or forms, data extracted, or content transformed. So I've volunteered to speak about it and its use cases. The second reason is to practise using AWS CDK for C# more – I've mentioned a few times that there are very few examples in C#, and I thought it's be a good idea to provide one more and hopefully make someone's life easier. In a nutshell, S3 Object Lambda allows you to amend the data that you usually get by using S3 Get requests. A Lambda function which will do the transformation.
AWS Lambda and the Serverless Framework is the QUICKEST way to get started in the serverless world, to deploy AWS Lambda functions in Amazon Web Services that infinitely scale without managing any servers! This is the course that could change your AWS skills. Learning and getting hands-on on AWS Lambda and Serverless Framework helps you to enhance your career opportunities and helps to boost your income. An investment in your career is an investment in yourself. There is no time like the present to take charge of your career.
Serverless computing has gained popularity in the last few years primarily because it supports both ease of development and high scalability. Serverless functions are stateless, event-driven, and highly scalable, and they don't have any dependencies on the underlying infrastructure. AWS Lambda is the leading example of a serverless computing platform. In this article, we'll talk about how we can use .NET Core to build and deploy serverless functions on AWS Lambda. To work with the code examples provided in this article, you should have Visual Studio 2019 installed in your system.
Amazon Lambda is probably the most famous serverless service available today offering low cost and practically no cloud infrastructure governance needed. It offers a relatively simple and straightforward platform for implementing functions on different languages like Python, Node.js, Amazon Lambda can be tested through the AWS console or AWS Command Line Interface. One of the main problems about Lambda is that it becomes tricky to set up as soon as your functions and triggers get more complex. The goal of this article is to present you a digestible tutorial for configuring your first Amazon Lambda function with external libraries and doing something more useful than just printing "Hello world!".
If you are not a newbie of Python, I bet you must know Lambda function. I have to say that I like to use the Lambda function in some circumstances. For example, the Pandas data frame apply() function, map() or filter() functions, they are naturally compatible with Lambda functions and make our life easier. We don't need to literally declare a proper function and just define a logic in-line. However, in this article today, I will say something on the negative said about Lambda functions.