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How To Perform QA Testing On A Serverless Application

Are you pursuing your career in Software testing and need to boost up your skills? Here I’ve got something to enhance your skill. Testing a serverless application that is hosted on AWS cloud.

I’ll try to break the ice by briefing you on the subject in this article.

 

What is serverless architecture? What are its advantages?

Serverless architecture is a way to build and run applications and services without having to manage infrastructure. Your application still runs on servers, but all the server management is done by AWS.

You no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Learn more about serverless computing below.

 

Why use a serverless architecture?

By using a serverless architecture, your developers can focus on their core product instead of worrying about managing and operating servers or runtimes, either in the cloud or on-premises.

This reduced overhead lets developers reclaim time and energy that can be spent on developing great products which scale and that are reliable.

Let’s get right into it, shall we? Here is how you test a serverless application.

 

Through API

Generating a Job ID

1. With respect to (clic/clime), the prerequisite is a POST request with a body encoded in JSON format.

 

2. Run the API and in response, we will be getting an alphanumeric id.

 

Checking the Job Status in a batch

3. Open AWS and search “batch” in the search bar.

 

4. Click on the second option “job” located on the left-hand side.

 

5. Select the required project from the dropdown and click on the refresh button.

 

6. The job description that you have entered at the API level will now be shown under the name column and the alphanumeric ID obtained from running the API will be located under the ID column. Further, for this job – a bucket will be generated and it will be named with the same alphanumeric code obtained above.

 

7. Click on the job name and it will redirect you to the status of the job.

 

8. On further scrolling the page, “Log stream name” will be there.

 

9. Clicking on that link will lead to current code execution and it will be getting updated continuously until it gets completed.

 

Checking the email logs

10. Email logs can be checked with the “SNS” and “SES” services of AWS CloudWatch.

 

11. On the same page, click on “Log groups” located at the left-hand side of the page.

 

12. Click on the lambda function of the required project and check if the email is being triggered or not.

 

Checking the bucket generation

13. After the job has been moved to “succeeded” status, it will be assigned a bucket with the same alphanumeric ID that has been obtained at the API level.

 

14. Search for the S3 bucket and open the bucket of that project. On opening the job folder under the bucket, we will be getting the result files that have been generated after running the current job.

 

 

 

15. The genes symbols that have been entered in JSON will be placed separately in the “PARAMS” folder of that application.

 

Inspecting the uploaded files in case the user has opted for a predefined method from the dropdown

16. This could also be done by directly uploading the gene file inside the “PARAMS” folder and then giving the file name in API parameters {“gene list name” and “genes”}.

NOTE – Both the matrix and .nwk files need to be uploaded for result generation.

 

17. In case the user has opted “predefined” method from the dropdown and has uploaded matrix and “.nwk” files then those files can be found under the “PARAMS” folder with the name that can be taken from the command box inside the “container” section of the job status page.

Pursuing that, files can be opened from the S3 bucket as mentioned above.

 

 

Here, we have explained how you can test a serverless application without any hassle. This would enhance your efficiency and help you track the performance of the server with the help of CloudWatch. It wouldn’t need a server to set up. In this modern age of computing, the serverless application acts as rocket fuel for the existing system of development. Microservices.io is another great introduction to serverless architectures built around microservices.

Stay tuned for upcoming blogs on some cutting-edge technology!