In this article we explore how to effectively manage prompts in Amazon Bedrock, covering key functionalities such as versioning, optimization and collaboration to enhance your AI-based projects.

Discover how to design effective prompts in Amazon Bedrock to improve the quality of AI model responses. Learn how to structure your prompts, apply advanced techniques, and validate their effectiveness.

Discover how Amazon Bedrock simplifies access to AI foundation models, their use cases, advantages, and how to integrate them into applications to generate content, analyze data, and improve processes.

Explore AWS's generative AI offerings, including Amazon Q Developer, Amazon Bedrock, and Amazon SageMaker, through hands-on experiences and insights from AWS re:Invent 2024.

Amazon Q Developer is an advanced AI-powered tool designed to assist AWS developers. It offers seamless code suggestions, transformations, testing, and documentation directly in IDEs. This article demonstrates its practical applications while addressing security, privacy, and ease of use.

Practical guide to using the AWS Well-Architected Tool, explaining why assessments matter and covering how to assess, refine, and optimize cloud workloads, with detailed steps, recommendations, and tips for continuous improvement.

Discover actionable quick wins for each AWS Well-Architected Pillar, helping you optimize cloud performance, security, and cost-efficiency.

Explore a deep dive into the Six Pillars of the AWS Well-Architected Framework, with best practices, key services, and role-based responsibilities for building secure, resilient, and cost-efficient cloud systems, optimized for performance and sustainability.

This article provides a comprehensive introduction to the AWS Well-Architected Framework, explaining its core design principles and the six pillars. It demonstrates how cloud professionals can apply these best practices to build cloud architectures while driving continuous improvement.

Learn how to automate the deployment of AWS resources using Terraform and GitHub Actions in this step-by-step guide.

Learn how to build real-time applications with AWS AppSync and Subscriptions.

This article walks you through the fundamentals of AWS AppSync, guiding you through the process of setting up, developing, and deploying a GraphQL API.

Explore how AWS Step Functions revolutionize cloud architecture, offering insights into creating efficient, scalable serverless workflows.

Explore Amazon API Gateway integrations, highlighting key advantages, performance, security, costs, and use cases to help developers optimize their serverless application architectures.

This guide explores Amazon API Gateway's endpoint exposure options, detailing their implementation, advantages, use cases, architectural impacts, limitations, troubleshooting, costs and more.

The guide provides a step-by-step walkthrough on setting up a Cloud9 environment, integrating with Git, and preparing Docker applications for testing, using two microservices (in Node.js and Python).

Embark on a 30-day challenge and follow this ultimate guide to obtain the AWS Certified Data Analytics Specialty certification.

This article provides a comprehensive overview of data analytics, including its fundamentals, different types, and applications. If you are new to Data Analytics start here!

This guide outlines 10 crucial steps for conquering any AWS certification exam. Begin your journey to AWS mastery with confidence, knowing you are equipped with the necessary tools for success.

Learn how AWS WAF helps protect your web applications from malicious attacks with its agile protection, ease of deployment and maintenance, cost-effectiveness, and scalability.