Which of these are recommendations for structuring your Lambda functions?

Best Practices for Developing on AWS Lambda

• Tip #1: When to VPC-Enable a Lambda Function.
• Tip #2: Deploy Common Code to a Lambda Layer (i.e. the AWS SDK)
• Tip #3: Watch Your Package Size and Dependencies.
• Tip #4: Monitor Your Concurrency (and Set Alarms)

How does AWS Lambda connect to database?

Creating a database proxy (console)

1. Open the Functions page of the Lambda console.
2. Choose a function.
3. Choose Configuration and then choose Database proxies.
4. Choose Add database proxy.
5. Configure the following options. Proxy identifier – The name of the proxy.
6. Choose Add.

How do I use AWS Lambda function in AWS RDS MySQL?

Tutorial: Configuring a Lambda function to access Amazon RDS in an Amazon VPC

1. Launch an Amazon RDS MySQL database engine instance in your default Amazon VPC.
2. Create a Lambda function to access the ExampleDB database, create a table (Employee), add a few records, and retrieve the records from the table.

What is connection pooling and why it is used?

In software engineering, a connection pool is a cache of database connections maintained so that the connections can be reused when future requests to the database are required. Connection pools are used to enhance the performance of executing commands on a database.

How do you optimize Lambda functions?

If a function is CPU-, network- or memory-bound, then changing the memory setting can dramatically improve its performance. Since the Lambda service charges for the total amount of gigabyte-seconds consumed by a function, increasing the memory has an impact on overall cost if the total duration stays constant.

How do you end a Lambda function?

Can You Stop An AWS Lambda Execution?

1. Set Concurrency To Zero. One of the main ways you can stop your Lambda is to set the concurrency limit to zero.
2. Disable Integrations (e.g. Kinesis)
3. Set A Lower Timeout.
4. Remove IAM Permissions.
5. Remove Retries.

Does AWS Lambda support SQL?

Yes, of course. Your Lambda function can execute SQL on the database you’re calling from, or on any other database or data source for which it has connection credentials. Create a deployment package which includes your function code along with the required database client libraries.

Can AWS Lambda connect to external database?

Connect to External DB Similar to connecting to RDS connection, connecting to an external database can be as simple as adding credentials to your AWS Lambda and connecting as you would in a typical server application.

Which of the following should you implement to connect AWS Lambda function to its RDS instance?

You can configure Lambda to access your RDS instance. You can enable this using Lambda management console. Select Lambda function which need access to RDS instance and then go to Configuration -> Advanced settings and select the VPC (which is your RDS instance is in) you need it to access.

What is Lambda service in AWS?

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own backend services that operate at AWS scale, performance, and security.

Do we need to close connection in connection pool?

Yes, certainly you need to close the pooled connection as well. It’s actually a wrapper around the actual connection. It wil under the covers release the actual connection back to the pool.

How does connection pooling impact performance?

It lets your database scale effectively as the data stored there and the number of clients accessing it grow. Traffic is never constant, so pooling can better manage traffic peaks without causing outages.

How do I create a lambda function in AWS Lambda?

The AWS::Lambda::Function resource creates a Lambda function. To create a function, you need a deployment package and an execution role. The deployment package contains your function code. The execution role grants the function permission to use AWS services, such as Amazon CloudWatch Logs for log streaming and AWS X-Ray for request tracing.

What is the previous execution context in AWS Lambda?

And if that happens, then you get the previous Execution Context which includes all declarations and database connections (except the handler code) as is from the previous execution. After a Lambda function is executed, AWS Lambda maintains the Execution Context for some time in anticipation of another Lambda function invocation.

What are the different types of AWS_Lambda_function_name and memory_size?

AWS_LAMBDA_FUNCTION_NAME – The name of the function. AWS_LAMBDA_FUNCTION_MEMORY_SIZE – The amount of memory available to the function in MB. AWS_LAMBDA_FUNCTION_VERSION – The version of the function being executed. AWS_LAMBDA_INITIALIZATION_TYPE – The initialization type of the function, which is either on-demand or provisioned-concurrency.

How are environment variables encrypted in AWS Lambda?

Lambda encrypts environment variables with a key that it creates in your account (an AWS managed customer master key (CMK)). Use of this key is free. You can also choose to provide your own key for Lambda to use instead of the default key.