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Amazon Bedrock AgentCore Memory Cheat Sheet

2025-12-08T06:13:27+00:00

Bookmarks How Memory Works Memory Types  Implementation Integration Security Best Practices Pricing A managed service that enables AI agents to store, retrieve, and maintain context across conversations, allowing them to remember user information, preferences, and interaction history for more coherent and personalized responses. How Memory Works Memory Storage and Retrieval The Memory service automatically captures relevant information from agent-user conversations and stores it for future use. When an agent needs context, it queries the memory to retrieve past interactions, user details, or learned facts. The system uses semantic search to [...]

Amazon Bedrock AgentCore Memory Cheat Sheet2025-12-08T06:13:27+00:00

Amazon Bedrock AgentCore Gateway Cheat Sheet

2025-12-05T03:21:09+00:00

Bookmarks Overview Features Use Cases Implementation Security Best Practices Pricing A fully managed service that transforms how AI agents discover, access, and utilize tools by providing a centralized, secure gateway for tool management and execution across your organization. Overview The Amazon Bedrock AgentCore Gateway acts as a single point of entry for AI agents to discover and use approved tools and APIs. It streamlines tool management by centralizing authentication, monitoring, and access control for all agent interactions. This gateway enables consistent governance and security while maintaining development flexibility across teams [...]

Amazon Bedrock AgentCore Gateway Cheat Sheet2025-12-05T03:21:09+00:00

Amazon Bedrock AgentCore Cheat Sheet

2025-12-02T03:28:38+00:00

Bookmarks Core Concepts Key Components Features & Capabilities Implementation Guide Use Cases & Examples Integration Patterns Best Practices Pricing Structure Troubleshooting A fully managed service that enables developers to build, deploy, and manage AI agents that can execute complex, multi-step tasks by leveraging company data, APIs, and business logic.   Amazon Bedrock AgentCore Core Concepts What are AI Agents Intelligent assistants understand natural language requests and break them down into actionable steps. These agents can reason, plan, and execute multi-step workflows while maintaining context and memory across conversations. [...]

Amazon Bedrock AgentCore Cheat Sheet2025-12-02T03:28:38+00:00

Signed, Sealed, Secured: Amazon S3 Style

2025-04-11T10:08:31+00:00

Building applications requires extensive planning, ranging from UI design and data flow to database interactions. However, one of the most crucial aspects is figuring out how to allow users to save files such as images, PDFs, and videos  securely and reliably within our application. Fortunately, AWS offers a robust and scalable service for handling file storage: Amazon Simple Storage Service (S3). Nevertheless, the real challenge lies in controlling how users upload and download their files. While Amazon S3 is simple to use, it’s essential to ensure that the interactions between our application and S3 are reliable, fast, and secure. Therefore, [...]

Signed, Sealed, Secured: Amazon S3 Style2025-04-11T10:08:31+00:00

Retrieval-Augmented Generation (RAG) for Foundation Model Customization

2024-12-02T06:01:45+00:00

Artificial Intelligence (AI) has rapidly advanced, pushing the limits of what machines can accomplish. However, one significant challenge remains: ensuring that AI responses are both accurate and contextually relevant while being up-to-date. This is where Retrieval-Augmented Generation (RAG) comes in—a cutting-edge approach that integrates the capabilities of data retrieval with advanced AI generation techniques. In this blog, we will explore the details of RAG, discussing its benefits, applications, and how to implement it using AWS. Understanding Retrieval-Augmented Generation (RAG) RAG (Retrieval-Augmented Generation) incorporates real-time data retrieval into the generative process. Unlike traditional models that depend solely on pre-trained data, RAG [...]

Retrieval-Augmented Generation (RAG) for Foundation Model Customization2024-12-02T06:01:45+00:00

AWS Console-to-Code: Seamlessly Transform Manual Actions into Reusable Code

2024-10-29T08:00:35+00:00

Cloud computing today demands efficiency and automation like never before. AWS Console-to-Code is an innovative tool designed to bridge manual operations with automated infrastructure management. By transforming console actions into reusable Infrastructure-as-Code (IaC), this feature streamlines workflows, enhances consistency, and accelerates deployment processes. This article will guide you through the process of implementing AWS Console-to-Code to launch Amazon EC2, VPC, and RDS. What is AWS Console-to-Code? AWS Console-to-Code utilizes Amazon Q Developer to simplify the process of automatically converting your console actions into reusable code snippets. Whether you're setting up an EC2 instance or configuring a VPC, AWS Console-to-Code can generate code in [...]

AWS Console-to-Code: Seamlessly Transform Manual Actions into Reusable Code2024-10-29T08:00:35+00:00

Streamline Your Workflow: Automating User Email Retrieval in WordPress with AWS SSM and Lambda via Slack command

2024-10-24T11:16:45+00:00

In today’s fast-paced digital environment, operational efficiency and security are important. This blog post explores a streamlined approach to retrieving user emails from specific IPs in WordPress using Slack Slash commands powered by AWS Systems Manager (SSM) and AWS Lambda. Automating this process significantly reduces the operational overhead associated with running SQL commands manually. Additionally, this method enhances security by allowing users who lack access to production environments to execute necessary scripts through Slack commands, ensuring they can perform their tasks without compromising system integrity. Retrieving User Emails in WordPress via MySQL To retrieve user emails from WordPress based on [...]

Streamline Your Workflow: Automating User Email Retrieval in WordPress with AWS SSM and Lambda via Slack command2024-10-24T11:16:45+00:00

Email Sender Application with Amazon SES

2024-08-28T11:39:59+00:00

Whether you’re part of a business or organization, sending out emails is crucial for connecting with people. More often than not, you’ll find yourself needing to send similar emails to a group and sometimes, they need to be dynamic. Yes, you can send out one email and just add everyone to the BCC but having a dynamic and more personalized email helps create a better connection between you and the recipient. This is a tutorial on how you can create your very own Batch Email Sender Application with just AWS and Python.   Prerequisites In order to follow this tutorial, [...]

Email Sender Application with Amazon SES2024-08-28T11:39:59+00:00

Automated RDS Snapshot Management for Improved Data Security

2024-07-17T06:42:57+00:00

The Automated Daily RDS Export ensures that daily snapshots of Amazon RDS instances are created and made shareable. While RDS takes daily snapshots automatically, these are not shareable by default. To address this, we copy the snapshots and share the copies with a designated backup account. This process uses AWS Lambda Functions and Amazon EventBridge to automate the task. EventBridge triggers the Lambda function daily, which handles copying and sharing the snapshots. This automation ensures that shareable snapshots are created every day without manual intervention, enhancing the reliability and accessibility of database backups. The Automated Daily RDS Export has several [...]

Automated RDS Snapshot Management for Improved Data Security2024-07-17T06:42:57+00:00

Basics of the Basics to AWS – Bonus Part: Machine Learning and AI

2024-05-29T01:20:23+00:00

Over the past few years, AI has become the number 1 trend in the tech industry and it's easy to see why. With powerful generative AI models like GPT4, we are starting to experience what AI can really do. Fast forward to the present, many businesses rely on AI to improve their efficiency and optimize their expenses. With our growing application, we can utilize AI to give a better user experience and grow our user base. Welcome to the bonus part of my 6-part series called Basics of the Basics to AWS, where I introduce you to AWS by breaking it [...]

Basics of the Basics to AWS – Bonus Part: Machine Learning and AI2024-05-29T01:20:23+00:00

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