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A General Overview of 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. In serverless computing, the host server is virtualized, meaning that the host computing hardware is removed from the computing situation 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.

In a traditional computing environment, it is necessary to monitor your servers and network, as well as other metrics to gauge performance. Whenever you are working in a new, serverless environment like AWS Lambda, these metrics will no longer be of importance to 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.

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. 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. The element that you control is the application code, which is uploaded to Lambda as a function and AWS then handles as code. The primary application used by AWS to monitor the performance of Lambda is called CloudWatch, which monitors Lambda to ensure it is running error free. AWS also provides monitoring on Lambda for application performance using an application called X-Ray. Valuable insights for troubleshooting AWS Lambda errors and for correcting errors in code are stored in the Cloudwatch logs which can be consulted whenever you need to address errors.

Beginning work in a computing environment like Lambda can be quite a lot to get used to. When you are monitoring in Lambda, it can be quite a bit different from monitoring in more traditional environments. 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.

Those who would like to find out more about all of the serverless monitoring solutions available for Lambda and AWS systems should begin by visiting the website of a software development firm that offers serverless monitoring systems. All you need to do to get started is search the web for serverless monitoring tools, python error handling, and the AWS pricing calculator.

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