terraform VS aws-lambda-java-libs

2. Terraform (hashicorp/terraform) – Infrastructure as Code

Terraform is used to manage infrastructure. You can define your servers, databases, and networks in code, and Terraform will create them for you. It’s like DevOps magic. Written in Go.

Terraform: https://developer.hashicorp.com/terraform

Terraform or OpenTofu for infra as code

For more information on Docker, you can refer to the official Docker documentation and explore relevant open-source projects on Docker's GitHub. Additionally, for Terraform-related resources, check out the official Terraform documentation and Terraform GitHub.

In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated deployment pipeline using Github Actions to deploy your conversational IVR solutions efficiently.

We manage infrastructure with Terraform and lean heavily on GitHub Actions for CI/CD. Very simple but it works! Oh and a lot of bash scripts of course.

You can download Terraform from terraform.io and install it on your machine.

Claude also created the IAC for deploying the app on Hetzner, using Terraform as the configuration tool. I only had to provide my Hetzner API key for VPS resource provisioning and my Cloudflare API key for domain name DNS entry management. 🌐

Terraform Installed: Download and install Terraform from the website: https://www.terraform.io/

In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining infrastructure as code (hereafter IaC) for serverless applications.

Lambda supports various programming languages, including Node.js, Python, Java, Go, Ruby, .NET, and even custom runtimes via containers. For the most up-to-date list and details, check out the official AWS Lambda documentation.

In this tutorial, you will walk through the process of building, testing, and deploying a multi-agent AI system using LangGraph, Docker, AWS Lambda, and CircleCI. You will develop a research-driven AI workflow where different agents,such as fact-checking, summarization, and search agents, work together seamlessly. You will package this application into a Docker container, deploy it to AWS Lambda, and automate the entire pipeline using CircleCI.

Backend: It handles API functions (e.g. AWS Lambda, Cloudflare Workers, GCP Functions)

Teachers, freelancers, and inbox zero purists rejoice: I built EmailDrop, a one-click AWS deployment that turns incoming emails into automatic Google Drive uploads. With Postmark's new inbound webhooks, AWS Lambda, and a little OAuth wizardry, attachments fly straight from your inbox to your Google Drive. In this post, I’ll walk through how I built it using Postmark, CloudFormation, Google Drive, and serverless tools, and how you can deploy it with zero manual code.

Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically.

In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining infrastructure as code (hereafter IaC) for serverless applications. For this article, I assume a basic understanding of the mentioned AWS services, serverless architectures in AWS, Quarkus framework and GraalVM including its Native Image capabilities.

AWS CloudFront is the star of the show here. It caches static content (like media, scripts, and images) to ensure fast, reliable delivery. Other AWS services that run at the edge include Route 53 for DNS routing, Shield and WAF for security, and even Lambda via Lambda@Edge — giving you the ability to run serverless logic closer to the user.

AWS Lambda charges per millisecond with configurable memory allocations, offering 1 million free requests monthly

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.