Data Management Glossary
What is AWS Lambda?
AWS Lambda is a serverless, event-driven compute service provided by Amazon Web Services (AWS) that allows developers to run code without managing servers or infrastructure. AWS Lambda provides a scalable, flexible, and cost-effective way to run code in response to events, such as changes to data in an Amazon S3 bucket or an update to a DynamoDB table.
With AWS Lambda, developers can write code in a variety of programming languages, including Python, Java, C#, and Node.js. They can then upload this code to AWS Lambda, where it is executed in response to events triggered by other AWS services, such as Amazon S3, DynamoDB, or API Gateway.
AWS Lambda automatically scales the number of instances needed to handle incoming requests, and developers only pay for the compute time they consume, which makes it a cost-effective option for many use cases. AWS Lambda also provides built-in monitoring and logging capabilities, making it easy for developers to monitor the performance and behavior of their functions.
One of the key benefits of AWS Lambda is its serverless architecture, which eliminates the need for developers to manage infrastructure, allowing them to focus on writing code and building applications. This makes it easier and faster to develop and deploy new applications, as well as reducing the cost and complexity of managing infrastructure.
AWS Lambda is a powerful and flexible tool for building serverless applications and integrating them with other AWS services. Its scalability, cost-effectiveness, and ease of use make it a popular choice for developers looking to build modern, cloud-native applications.
AWS Lambda Data Management
AWS Lambda provides several options for managing data within your functions, including:
- Environment Variables: Environment variables can be used to store configuration data, such as API keys or database connection strings, that are used by your function. These variables can be set and managed within the AWS Lambda console or via the AWS CLI.
- Local File Storage: AWS Lambda provides a temporary storage area for your function to read and write files during execution. This storage area is deleted when the function completes, so it should not be used for permanent data storage.
- AWS Services: AWS Lambda can interact with various AWS services, including Amazon S3, Amazon DynamoDB, and Amazon RDS. These services provide persistent storage options for your data that can be accessed by multiple functions.
- External Services: AWS Lambda functions can also interact with external services, such as third-party APIs or databases. These services can be accessed via the internet or through a virtual private network (VPN) connection.