Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

⏳ Get 30% OFF on Microsoft Azure and GitHub Reviewers this Black Friday Sale!

AWS Cheat Sheets

Home » AWS Cheat Sheets » Page 4

Amazon Forecast

2025-12-23T14:30:58+00:00

Bookmarks Features Key Concepts High-Level Architecture Diagram Common Use Cases Best Practices Pricing Security Amazon Forecast Cheat Sheet A fully-managed time-series forecasting service that utilizes machine learning to generate highly accurate predictions without requiring deep ML expertise. It helps businesses predict future outcomes such as demand, sales, inventory, staffing, or resource usage by analyzing historical time-series data and related variables. Features Fully managed service that handles data preprocessing, model training, tuning, and hosting for you. Uses machine learning or ML models that are purpose-built for time-series forecasting. Automatically detects seasonality, [...]

Amazon Forecast2025-12-23T14:30:58+00:00

AWS Resource Explorer

2025-12-23T13:54:17+00:00

Bookmarks Key Features Automatic Enablement Core Concepts  Setup Options Search Query Syntax Search Limitations Access Methods Pricing Best Practices Troubleshooting Regional Availability AWS Resource Explorer Cheat Sheet A resource search and discovery service that helps you find and discover AWS resources across Regions and accounts using an internet search engine-like experience. AWS Resource Explorer Key Features Search for resources using metadata like names, tags, IDs, and resource types Internet search engine-like experience with keywords and filters Cross-Region and multi-account search capabilities Integration with Unified Search in [...]

AWS Resource Explorer2025-12-23T13:54:17+00:00

Amazon GameLift

2025-12-23T12:16:06+00:00

Bookmarks Amazon GameLift Family Key Features Architecture Components  Hosting Options FlexMatch Matchmaking  Pricing Monitoring and Operations  Security Best Practices Common Use Cases  AWS Service Integration  Limitations  Amazon GameLift Cheatsheet A fully managed service for deploying, operating, and scaling dedicated game servers for session-based multiplayer games Handles up to 100 million concurrent players in a single game and can launch up to 9,000 game servers per minute Built on AWS global infrastructure with 99.95% availability SLA across 26 Regions and 9 Local Zones Amazon GameLift Family Amazon [...]

Amazon GameLift2025-12-23T12:16:06+00:00

Amazon Managed Blockchain (AMB)

2025-12-23T11:08:21+00:00

Bookmarks Key Terms and Concepts Key Components Supported Blockchains Key Features Hyperledger Fabric Network Editions Security Pricing  Use Cases Integrations AMB vs Amazon QLDB Regional Availability Amazon Managed Blockchain (AMB) Cheat Sheet A fully managed service designed to help you build resilient Web3 applications on both public and private blockchains Reduces the overhead required to create and manage blockchain networks and access blockchain data Currently supports Ethereum, Polygon, Bitcoin, and Hyperledger Fabric blockchains Enables multiple parties to securely transact and share data on a distributed and [...]

Amazon Managed Blockchain (AMB)2025-12-23T11:08:21+00:00

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

AI-Driven Cloud Security at AWS re:Invent 2025

2025-12-26T11:28:51+00:00

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 in development, the results are often disappointing. Security tools may run during build or deployment stages, yet they frequently lack the context required to provide meaningful [...]

AI-Driven Cloud Security at AWS re:Invent 20252025-12-26T11:28:51+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

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!