aws-lambda-java-libs

Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform. (by aws)

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aws-lambda-java-libs reviews and mentions

Posts with mentions or reviews of aws-lambda-java-libs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-04-14.
  • Exploring Serverless APIs: A Guide for Developers
    3 projects | dev.to | 14 Apr 2025
    AWS Lambda charges per millisecond with configurable memory allocations, offering 1 million free requests monthly
  • Verifying Cognito access tokens - Comparing three JWT packages for Lambda authorizers
    5 projects | dev.to | 3 Apr 2025
    When the built-in Amazon API Gateway authorization methods don’t fully meet our needs, we can set up Lambda authorizers to manage the access control process. Even when using Cognito user pools and Cognito access tokens, there may still be a need for custom authorization logic.
  • Get Started with Serverless Architectures: Top Tools You Need to Know
    5 projects | dev.to | 1 Apr 2025
    AWS Lambda AWS Lambda is a compute service that runs your backend code in response to events such as object uploads and HTTP requests. It automatically handles all the capacity, patching, scaling, and administration of the infrastructure to run your AWS Lambda functions. Lambda also provides visibility and performance and automatically manages the computing resources, making it easy to build applications that respond quickly to new information. Like other serverless providers, Lambda as a service doesn't come with built-in storage. Lambda functions are stateless; each invocation is considered a clean slate. Nevertheless, Lambda functions can work with additional services that provide storage. Common examples include S3 (Simple Storage Service), EFS (Elastic File System), and databases like RDS, Neon, and DynamoDB.
  • AWS SnapStart - Part 27 Using insights from AWS Lambda Profiler Extension for Java to reduce Lambda cold starts
    2 projects | dev.to | 1 Apr 2025
    I'd like to include the copy of my article AWS Lambda Profiler Extension for Java- Part 2 Improving Lambda performance with Lambda SnapStart and priming into this SnapStart series. In this article of the series I'd like to show you how AWS Lambda Profiler Extension for Java helped me to improve Lambda performance (especially to reduce Lambda cold start times) by identifying additional SnapStart priming potential in my sample application. For the information how to build AWS Lambda Profiler for Java as a Lambda extension, publish it as a Lambda layer and use this layer in our sample application, please read my article AWS Lambda Profiler Extension for Java- Part 1 Introduction of the series, we introduced recently released AWS Lambda Profiler Extension for Java.
  • Building Custom Kendra Connectors and Managing Data Sources with IaC
    2 projects | dev.to | 30 Mar 2025
    AWS Lambda will be used with Python 3.12 to interact with the Jira APIs. But before we dive into the code, there are a few key functionalities to understand.
  • Deploy AWS Lambda Functions and Amazon DynamoDB with AWS CDK on LocalStack
    4 projects | dev.to | 28 Mar 2025
    In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources.
  • AWS Lambda Profiler Extension for Java- Part 2 Improving Lambda performance with Lambda SnapStart and priming
    3 projects | dev.to | 26 Mar 2025
    In the part 1 of the series, we introduced recently released AWS Lambda Profiler Extension for Java. We explored how to build it as a Lambda extension, publish it as a Lambda layer and use this layer in our sample application. In this article of series I'd like to show you how it helped me to improve Lambda SnapStart priming of my sample application.
  • AWS Lambda Profiler Extension for Java- Part 1 Introduction
    5 projects | dev.to | 24 Mar 2025
    AWS recently released AWS Lambda Profiler Extension for Java. The Lambda profiler extension allows you to profile your Java functions invoke by invoke, with high fidelity, and no code changes. It uses the async-profiler project to produce profiling data and automatically uploads the data as HTML flame graphs to S3 which can be viewed in the browser. If you'd like to know more about the async-profiler you can read these articles:
  • Mastering AWS for Scalable Web Apps — A Beginner’s Guide
    2 projects | dev.to | 20 Mar 2025
    📌 Learn about Lambda: https://aws.amazon.com/lambda/
  • SSR Deep Dive for React Developers
    12 projects | dev.to | 20 Mar 2025
    We can use the serverless functions of the hosting provider that serve the static resources: Cloudflare Workers, Netlify Functions, Vercel Functions, Amazon Lambdas, etc. Most of the static resource hosting providers probably have them in one form or another.
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