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joshuasanti

Home » Collections for Joshua Emmanuel Santiago » Page 2

About Joshua Emmanuel Santiago

Joshua, a college student at Mapúa University pursuing BS IT course, serves as an intern at Tutorials Dojo.

Amazon Bedrock Knowledge Bases Cheat Sheet

2025-12-23T08:18:07+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing   A fully managed Retrieval-Augmented Generation (RAG) service that securely connects foundation models to your company's private data sources. It automates the entire pipeline—from ingestion and indexing to retrieval and source attribution—enabling accurate, contextual, and verifiable AI responses without building custom data pipelines.   Amazon Bedrock Knowledge Bases Features Fully Managed RAG Pipeline Automates the end-to-end workflow from data ingestion to indexed storage. Handles parsing of complex documents (text, tables, images), intelligent chunking, vector embedding generation, and storage in your chosen vector database. Broad Data [...]

Amazon Bedrock Knowledge Bases Cheat Sheet2025-12-23T08:18:07+00:00

Amazon Bedrock AgentCore Runtime Cheat Sheet

2025-12-20T06:21:59+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing Amazon Bedrock AgentCore Runtime is the execution engine within the Bedrock AgentCore platform, providing a low-latency, serverless environment to run AI agents. It handles the complex infrastructure of scaling, security, and session management, allowing you to focus on developing agent logic. The service supports everything from rapid prototyping to production-scale deployments. Amazon Bedrock AgentCore Runtime Features Framework Agnostic Runtime lets you transform any local agent code to cloud-native deployments with a few lines of code. It works seamlessly with popular frameworks like LangGraph, [...]

Amazon Bedrock AgentCore Runtime Cheat Sheet2025-12-20T06:21:59+00:00

Amazon Bedrock AgentCore Identity Cheat Sheet

2025-12-18T08:10:29+00:00

Bookmarks Features How It Works Implementation Integration Security Best Practices Pricing A specialized identity and credential management service for AI agents and automated workloads. It provides secure authentication, authorization, and credential management, enabling agents to access AWS and third-party services on behalf of users while maintaining security controls and audit trails. Agent identities are implemented as dedicated workload identities. Amazon Bedrock AgentCore Identity Features Centralized Agent Identity Management Provides a unified directory to create, manage, and organize unique workload identities for every AI agent. Each identity includes specialized metadata and [...]

Amazon Bedrock AgentCore Identity Cheat Sheet2025-12-18T08:10:29+00:00

Amazon Bedrock AgentCore Observability Cheat Sheet

2025-12-18T09:15:12+00:00

Bookmarks Features Use Cases Implementation Integration Security Best Practices Pricing Amazon Bedrock AgentCore Observability Cheat Sheet Amazon Bedrock AgentCore Observability delivers complete visibility into AI agent operations, enabling developers to monitor, analyze, and optimize agent performance, understand decision patterns, and troubleshoot issues across complex multi-agent workflows. It provides insights into agent reasoning, tool usage, and conversation flows. Amazon Bedrock AgentCore Observability Features Comprehensive Metrics and Monitoring Collect detailed performance metrics including response times, token usage, success rates, and error patterns. Monitor agent health and availability with configurable thresholds and alerts. [...]

Amazon Bedrock AgentCore Observability Cheat Sheet2025-12-18T09:15:12+00:00

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 Browser Tools Cheat Sheet

2025-12-02T03:32:25+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing A web browsing capability that enables AI agents to access and interact with live websites, extract real-time information, and perform automated web tasks through natural language instructions.   Amazon Bedrock AgentCore Browser Tool Features Live Web Content Access The Browser tool enables agents to navigate to specific URLs and extract text, links, and structured data from web pages. It handles dynamic content rendered by JavaScript and modern web frameworks, automatically managing sessions and following redirects. The tool can access both public websites [...]

Amazon Bedrock AgentCore Browser Tools Cheat Sheet2025-12-02T03:32:25+00:00

Amazon Bedrock AgentCore Code Interpreter Cheat Sheet

2025-12-02T03:31:23+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing   A specialized tool that enables AI agents to write, execute, and debug Python code in a secure sandboxed environment for data analysis, mathematical computations, and file processing tasks.   Amazon Bedrock AgentCore Code Interpreter Features Secure Code Execution The Code Interpreter runs Python code in an isolated sandbox environment with no external network access. It includes popular data science libraries like pandas, numpy, and matplotlib for comprehensive analysis. The environment automatically manages memory and computational resources to ensure safe operation. File [...]

Amazon Bedrock AgentCore Code Interpreter Cheat Sheet2025-12-02T03:31:23+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

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

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!