Figuring Out Computer
A Closer Look at Serverless Monitoring Tools
Serverless computing, like that found in platforms such as AWS Lambda, actually represent a new paradigm in computing. Through the process of virtualizing the hardware server, serverless computing actually removes the necessity of a host server from the equation entirely. Because of this fact, serverless computing forces you to rethink how you do things, including your use of computer monitoring functions. These changes are particularly important in AWS Lambda, but also apply in any other serverless computing environment.
Traditional computing environments force you to monitor the performance of the network as well as the servers. Whenever you are working in a new, serverless environment like AWS Lambda, these metrics will no longer be of importance to you. In this case, the vendor will be responsible to manage the network. server, and underlying infrastructure, while you are free to concentrate entirely upon the application code.
At first, you may wonder why this would be so important for you? When you use a serverless platform, you will be free to execute your code without having to think about the computing power of your underlying servers. Serverless computing platforms like Lambda always scale the available computing power to ensure that you have enough power to always execute your code.
In the Lambda platform, all of these consideration are hidden from you and handled automatically. The element that you control is the application code, which is uploaded to Lambda as a function and AWS then handles as code. An application called CloudWatch is the default program for monitoring Lambda for errors in running code. AWS also provides monitoring on Lambda for application performance using an application called X-Ray. Whenever it is necessary to address errors in Lambda, you can consult the CloudWatch logs, in which all applicable error information is stored and from which you can derive valuable insights for correcting problems and errors in code.
Beginning work in a computing environment like Lambda can be quite a lot to get used to. Monitoring in Lambda is much different than monitoring in traditional applications. In this instance, you should take advantage of the natural, built in monitoring tools available to you in AWS such as CloudWatch, X-Ray, and the custom metrics that you will find.
Anyone who would like to discover more about serverless monitoring tools for Lambda and AWS should begin by visiting the website of software development companies who offer these products. The best way to get started is to perform a search engine search for python error handling, AWS pricing calculator, and more information about Lambda functions.