The Developer Space

AWS IAM is your first line of defense in cloud security, but misconfigured permissions can leave applications vulnerable. This guide unlocks professional IAM practices—from writing least-privilege policies to automating credential rotation. You’ll learn to replace risky access keys with temporary roles, enforce MFA via JSON policies, and monitor every API call through CloudTrail integration. We provide actionable Python and CLI examples for real-world scenarios, whether you’re securing Lambda functions or EC2 instances. Master these techniques, and you’ll deploy applications with enterprise-grade security while maintaining developer agility.

DeepSeek offers powerful AI models through its API, enabling developers to integrate advanced AI capabilities into their applications. When combined with AWS Lambda’s serverless architecture, you can create scalable, cost-effective AI-powered solutions. This tutorial will guide you through the process of invoking DeepSeek APIs from AWS Lambda functions.

Unlock the power of Amazon DynamoDB with this comprehensive guide designed for developers. Dive deep into the core concepts, including tables, primary keys, secondary indexes, and data types, all while exploring practical examples using Python. Whether you’re building scalable applications, handling real-time data, or optimizing your database operations, this primer provides the foundational knowledge and advanced features to make the most of DynamoDB’s performance and scalability. Read on for expert insights and code examples to integrate DynamoDB into your projects effectively.

Master symmetric encryption in just 5 minutes using AWS KMS! This guide walks you through creating KMS keys, encrypting and decrypting data, and implementing best practices like key rotation, MFA, and CloudTrail monitoring. Secure your AWS environment today!

Discover the power of serverless computing with this quick guide! Learn what serverless functions are, how they work, their benefits, and common use cases. Perfect for developers exploring AWS Lambda, Azure Functions, or Google Cloud Functions. Dive in and start leveraging serverless for scalable, cost-effective, and efficient applications.

Generative AI using Amazon Bedrock for Developers helps you discover how to build and scale Generative AI applications. Explore how developers can leverage Amazon Bedrock to build powerful generative AI applications. Learn about Foundation Models, prompt engineering, and deploying scalable AI solutions on AWS.

Discover the power of Generative AI on AWS in 2024 with this comprehensive guide. Learn how to leverage AWS Bedrock, Foundation Models, and SageMaker to build, deploy, and scale cutting-edge AI solutions. Stay ahead in AI innovation by exploring key features, practical use cases, and integration strategies tailored for modern developers and businesses.

Discover a comprehensive comparison of Generative AI solutions offered by AWS, Azure, and Google Cloud in 2024. Explore the key features, supported models, pricing, and use cases of each platform to help you choose the best AI solution for your business needs.

Serverless is generally seen as a cost-effective solution since it runs in the Cloud and is billed only for its execution time. However, this is far from the truth and serverless can end up being very expensive if not used correctly. This article lists all the factors that need to be considered before deciding to adopt serverless model for your needs.

This article will take you through the step-by-step process to build a REST API using API Gateway. The API invokes a Lambda function that in turn invokes OpenAI APIs and returns a response. Your applications can invoke this API to embed Artificial Intelligence capabilities similar to ChatGPT.

Learn how to fix “‘StreamingBody’ object is not subscriptable” error in boto3 framework when invoking functions in AWS Lambda.

The First Edition of this book was released in May 2020, about two and a half years ago. Since its…

AWS Lambda makes it easy to build highly available serverless applications quickly. However, setting up resources in multiple regions makes…

Are you looking for resources to get started with migrating SQL Server Databases to PostgreSQL? This is the book for you. This concise eBook is intended to be a ready reference and a checklist for migrating your databases, applications and services from Microsoft SQL Server to PostgreSQL and discusses all the important information you need to be aware of before beginning a migration project.

One of the major challenges in Cloud is controlling costs effectively. This article discusses various strategies you can adopt to set up and operate non-critical workloads of your databases with minimal cost.

This post explains a neat way to check if your are running on open source PostgreSQL or AWS Aurora (PostgreSQL compatible)

This article describes a simple and elegant way to allow write access to ASP.NET apps to the App_Data folder. This is required for applications to work properly when deployed in AWS Beanstalk.