Laboratorio #3: pruebas de funcionamiento del stack

How to verify the performance of resources on AWS?

Understanding and verifying resource performance on AWS is crucial to ensure effective deployment and achieve optimal results. This process can often seem daunting at first, but with a structured approach and the use of appropriate tools, any developer can handle it with confidence. In this article, I will guide you on how to verify Bota net resources using AWS, using various services such as DynamoDB and AWS Lambda.

How to manage and verify data in DynamoDB?

First, to start the verification, our initial task is to go to the DynamoDB database. Once inside, it is essential to identify the tables created, in our case, the 'Platzi' table. After this, we access the 'Items' section to add and manage data, with simple but powerful steps that allow us to maintain full control of the information.

1. Add items: Enter the table and, in the 'Items' section, create a new record.
2. Fields to consider: Fields such as citizenship card, name, address and neighborhood are handled. For example, you can use names like Carlos Zambrano and addresses like Calle One, Two, Three.
3. Save changes: Finally, press the Save button to register all the new data.

How to test with AWS Lambda?

After having registered the data in DynamoDB, the next step is to verify the functionality in AWS Lambda. This process ensures that Lambda functions can access and retrieve data from DynamoDB efficiently.

• Create a test event: Assign a name to the event, such as "My Test", and send a JSON with the necessary information, in this case, the ID number.
• Test the Lambda function: Execute the test event and verify the response. Lambda should return the complete information of the record queried from DynamoDB.

How to integrate with API Gateway?

Integration with API Gateway is essential for extending access to the outside world. Through API Gateway you can expose your Lambda functions and make them accessible from external applications or web clients.

• Configure the API Gateway: Verify that you have access to the configured Lambda function.
• Make a test request: Use tools such as cURL or Postman to send requests to the API Gateway. For example, a cURL can be sent like this:

curl -X POST -H "Content-Type: application/json" -d '{"cédula": "111"}' [API_URL].

This request will check that the communication between API Gateway and Lambda is effective and the system returns the expected data correctly.

What to do if you want to go deeper?

For those who want to expand their skills, it is advisable to dive into specialized database courses on AWS. Exploring the capabilities of AWS will give you a broader perspective and control over your application architecture.

Also, in addition to this technical learning, always remember to analyze factors such as runtime and resource efficiency, as AWS charges based on the duration and memory management during the execution of Lambda functions. Keep learning and experimenting to continually optimize your cloud infrastructure!