A Closer Look at Serverless Monitoring Tools

09 Aug

Serverless computing represents a new paradigm and is best represent by emergent platforms like AWS Lambda. 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. Such changes are particularly applicable to Lambda function, but may also apply to just about any serverless computing environment.
When you are working in a traditional computing environment, there are numerous performance metrics to monitor, particularly the performance of the server and the network. When you work in a serverless platform, like Lambda, these traditional metrics no longer matter. It is the application vendor who will manage the underlying infrastructure like the server and network performance, and you will be left to manage your application code.

There are many out there who may be wondering why this is such an important point? 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. 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 thing that you control in this platform is the application code, which you upload to Lambda as a function, and which is implemented and executed automatically 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 in Lambda, it can be quite a bit different from monitoring in more traditional environments. 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. To begin, simply search the Internet for 
AWS calculator, Lambda functions, and python error handling.

View more details here at https://www.youtube.com/watch?v=NIWwJbo-9_8

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