In the world of cloud storage, Amazon S3 (Simple Storage Service) has been a game-changer, providing scalable, durable, and highly available object storage. One of the recent additions to the S3 family is S3 Object Lambda, a powerful serverless compute capability that allows you to transform and process data on the fly as it is being retrieved from S3. In this blog post, we will delve into S3 Object Lambda, exploring its use cases, benefits, and potential considerations.
Continue reading "S3 Object Lambda: Unleashing the Power of Serverless Data Transformations"
AWS provides several services to host and serve static websites, with Amazon S3 (Simple Storage Service) being the most common choice. When hosting a static website on AWS, the website's files are stored in an S3 bucket, and the bucket is configured to serve those files to users.
Continue reading "Static website with S3"
Here is an example AWS Lambda function written in Python that reads a file from an S3 bucket. In this example, the lambda_handler function is the entry point for the Lambda function. It takes two parameters, event and context.
The event parameter contains information about the S3 bucket and object that triggered the Lambda function, and the context parameter contains information about the runtime environment of the function.
Continue reading "Read contents of S3 bucket using AWS lambda"
AWS DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It is a high-performance, scalable, and highly available database that can handle millions of requests per second and can automatically partition and re-partition data across a cluster of machines.
DynamoDB allows you to store and retrieve any amount of data and serve any level of request traffic, and provides a flexible and efficient data model that supports both document and key-value store paradigms. It also offers advanced features such as automated backups, global replication, and fine-grained access control.
Continue reading "Intro to AWS DynamoDB"
AWS Serverless is a cloud computing model in which the cloud provider (AWS) manages the infrastructure and automatically provisions, scales, and manages the computing resources required to run an application. In a Serverless architecture, the customer only pays for the actual usage of the application, rather than paying for fixed computing capacity.
AWS Serverless computing is based on the concept of functions as a service (FaaS). A function is a self-contained piece of code that performs a specific task, such as processing data or responding to an event. The AWS Lambda service is a FaaS service that allows developers to write and deploy functions in a variety of programming languages, including Java, Python, Node.js, C#, and more.
Continue reading "Intro to AWS Serverless"