A General Overview of Serverless Monitoring Tools
Serverless computing represents a new paradigm and is best represent by emergent platforms like AWS Lambda. Through a technical process involving the virtualizing of hardware servers, serverless computing systems remove the host server from the computing equation. Because of this fact, serverless computing forces you to rethink how you do things, including your use of computer monitoring functions. Thought the monitoring systems discussed here are meant to apply to AWS Lambda systems, they may apply to any other serverless computing system.
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.
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. To ensure that you always have enough computing power to execute your code, AWS Lambda always scales the available computing capacity to your needs.
In AWS Lambda, all of these monitoring functions are actually hidden from you and handled automatically by the platform. 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. 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.
As you begin to work in a serverless environment like Lambda, there will be 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.
If you would like to find out more about serverless monitoring tools in Lambda and AWS, the best thing you can do is is take a moment to visit the website of a software developer who offers these tools online. All you need to do to get started is search the web for serverless monitoring tools, python error handling, and the AWS pricing calculator.