Building a Cost-Aware RAG Application with Amazon Bedrock
What if your Client can have a Chatbot that throws a highly accurate responses based on your documents? Without having a guilt of the monthly expenses. Without even subscribing to any costly, AI-support subscriptions. Only pay per inquiry requests to your model provider, and of course only costs you cents, and it lessens when your client is already satisfied with the answer, as it returns a fully verified response based from the documents you [...]
Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot
Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM [...]
The Year of the Agent: Anthropic’s Claude AI Models and Agents
Looking back on the past year of 2025 coding with the help of artificial intelligence, we can safely say that it was the year of agents, especially pioneered by Anthropic with Claude Code. AI products have matured to offer highly reliable agents that can understand, navigate, and work seamlessly on large codebases. It is the end of the old ways: of manually copying and pasting code into web AI applications. Agents are now [...]
AI-Driven Cloud Security at AWS re:Invent 2025
Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key architectural decisions are already finalized. As a result, teams spend more time fixing problems than preventing them. Although many organizations attempt to shift security earlier [...]
Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers
Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working [...]
AWS Security Agent: Context-Aware Application Security
The Problem: Security Can't Keep Up In the current engineering landscape of our industry, modern software teams are supposed to be built to be able to move fast. Continuous integration, automated deployments, and agile workflows have seen the rise of weekly and even daily releases to be the norm. With rising business and customer demands in the time of rapid advancements in technology, new features, fixes, and changes are constantly pushed to production. However, [...]
Build a Model-Agnostic AI Text Summarizer Web Extension
Browser extensions are a great way to bring AI directly into your everyday workflows. Instead of copying text into external tools and websites to be summarized, you can do it right on the page. In this tutorial, we'll build a lightweight, model-agnostic Chrome extension that summarizes selected text using AI. With a simple right-click, users can send any highlighted text to an AI model of their choice and instantly view a concise summary in [...]
AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control
AWS Lambda Managed Instances marks a significant evolution in serverless computing. For years, standard Lambda was the default for running code without infrastructure management, but it offered limited control over the underlying hardware. This new capability changes that by combining serverless simplicity with Amazon EC2 flexibility. Announced at AWS re:Invent 2025, this feature enables Lambda functions to run on designated Amazon EC2 instances. You choose the hardware configuration, while AWS manages the infrastructure. [...]
How to Generate Simple Document Embeddings with Python
Document embeddings are one of the simplest ways to give machines an understanding of text, and in our previous article, Document Embeddings Explained: A Guide for Beginners, we explored how they turn entire documents into dense numerical vectors that capture meaning and context. Now that you understand what embeddings are and why they’re useful for tasks like semantic search, classification, and clustering, this tutorial will show you how to generate them in practice using [...]
Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake
Amazon Security Lake is a managed service that collects and stores security logs from AWS services, on-premises systems, and supported third-party tools. It automatically converts all incoming data into Apache Parquet and formats everything using the OCSF schema. This setup allows different kinds of security logs to follow one consistent structure instead of having separate formats. With this unified approach, teams no longer need to decode or reorganize data manually because Security Lake handles [...]
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