A Closer Look at Serverless Monitoring Tools
AWS Lambda and other forms of serverless computing platforms actually represent a completely new way of doing things in the world of 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 the major differences between traditional and serverless computing, the user is forced to rethink several important pieces of the puzzle, including their use of monitoring functions. These changes are particularly important in Aws calculator Lambda, but also apply in any other serverless computing environment.
In a traditional computing environment, it is necessary to monitor your servers and network, as well as other metrics to gauge performance. However, in serverless computer environments, monitoring these will be irrelevant for you. This is because they will be monitored by the vendor, who manages the server and underlying infrastructure, while you are able to concentrate on your application code entirely.
There are many out there who may be wondering why this is such an important point? Serverless computing systems allow you to execute and monitor your code without having to concentrate on your computing power and servers. Another important feature is that AWS lambda automatically calculates and scales to your available computing power to ensure that your code is always executed.
In the Lambda platform, all of these consideration are hidden from you and handled automatically. As user, the thing you control in this system is the application code, which you begin by uploading into Lambda as a function and is then implemented in AWS as code. AWS primarily uses an application called CloudWatch to automatically monitor the performance of Lambda in the error free implementing of code and running of applications. If you want to further monitor application performance on Lambda, you can do so by using an application called X-Ray. All trouble shooting and crucial source code information is stored in the CloudWatch logs, which provide you with invaluable insights for troubleshooting your serverless applications.
Beginning work in a computing environment like Lambda can be quite a lot to get used to. When you are monitoring Lambda, it can be quite different from more traditional applications. Therefore, you will need to leverage the already built in monitoring features in AWS like X-Ray, CloudWatch, and custom metrics that are available to you.
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.