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amazon aws cheat sheet

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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 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

Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2024-10-03T13:28:49+00:00

Amazon EKS vs Amazon ECS

2024-08-27T11:41:51+00:00

    Elastic Container Service (ECS) Elastic Kubernetes Service (EKS) Overview AWS’s fully managed container orchestration service for Docker containers. Designed for simplicity and ease of use. Seamless integration with AWS services and minimal management overhead. Tightly coupled with AWS, making it a cloud-native service. AWS’s managed Kubernetes service. Offers Kubernetes flexibility with AWS’s management and scaling. Ideal for teams needing Kubernetes features and ecosystem. Kubernetes is cloud-agnostic and has a loosely coupled architecture, allowing it to run across various cloud providers like Google Cloud, Azure, and others. Features Simplifies container management without the need for control plane management. Deeply [...]

Amazon EKS vs Amazon ECS2024-08-27T11:41:51+00:00

AWS CloudShell

2023-10-24T01:51:05+00:00

Bookmarks Features Security Pricing AWS CloudShell Cheat Sheet A terminal that you can access from the AWS Management Console to interact with your AWS resources without installing any software on your local computer.  To run AWS CLI commands, you can use any command-line interpreter:  Bash (bash) PowerShell (pwsh) Z shell (zsh) The compute environment is built on Amazon Linux 2. 1 vCPU 2 GiB RAM 1 GB persistent storage Features The shell environment is pre-configured with tools, utilities, runtimes, and AWS SDKs. You can use up to 1 GB of persistent storage (home directory) [...]

AWS CloudShell2023-10-24T01:51:05+00:00

Amazon MemoryDB for Redis

2023-10-07T14:02:50+00:00

Bookmarks Features Concepts Security Networking Pricing Amazon MemoryDB for Redis Cheat Sheet  An in-memory database service for microservices-based applications. MemoryDB stores all of your data in memory, allowing you to achieve microsecond read and single-digit millisecond write latency and high throughput. It also uses a Multi-AZ transactional log to store data across multiple AZs in order to enable fast failover, database recovery, and node restarts. Features Primary nodes have strong consistency, and replica nodes have guaranteed eventual consistency.  Scale horizontally by adding and removing nodes or vertically by changing node types. Write [...]

Amazon MemoryDB for Redis2023-10-07T14:02:50+00:00

AWS Data Exchange

2023-09-27T17:34:50+00:00

Bookmarks Concepts Security Pricing AWS Data Exchange Cheat Sheet A service that enables users to search, subscribe to, and use third-party data in the cloud. Provides a central catalog where data providers may publish their data products, and data subscribers can search and subscribe to them. You can also find and use publicly available data sets that are part of the Open Data on AWS program with or without an AWS account. Concepts Data AWS Data Exchange organizes data using these three building blocks: Assets - a piece of data. Revisions - container for [...]

AWS Data Exchange2023-09-27T17:34:50+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!

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