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amazon aws cheat sheets

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Bring Your Own Container Made Easy: Introducing AWS ml-container-creator

2026-01-27T18:51:07+00:00

If you’ve ever struggled to package your ML model in a custom Docker image for SageMaker, the new ml-container-creator tool is here to help. This friendly open-source wizard guides you through building a SageMaker-compatible container without all the usual Docker headaches. It’s like having an assistant that writes your Dockerfile, server code, and config files for you, so you can focus on your model. What is BYOC on SageMaker? BYOC stands for Bring Your Own Container. In SageMaker, BYOC means you supply your own Docker image with everything needed to serve your ML model (the code, libraries, dependencies, etc.). AWS [...]

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator2026-01-27T18:51:07+00:00

Amazon Sagemaker Jumpstart Cheat Sheet

2026-01-12T07:23:56+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing    A centralized machine learning hub within Amazon SageMaker AI designed to drastically reduce the time and expertise required to build, train, and deploy models. It provides instant access to a curated catalog of production-ready assets.   Features Foundation Models Hub Access a broad selection of state-of-the-art foundation models from providers like AI21 Labs, Cohere, Meta, Mistral AI, and Stability AI, alongside hundreds of open-source models from Hugging Face. You can evaluate, compare, and perform tasks like text summarization, [...]

Amazon Sagemaker Jumpstart Cheat Sheet2026-01-12T07:23:56+00:00

Amazon Bedrock Runtime

2026-01-07T13:42:57+00:00

Bookmarks Amazon Bedrock Runtime Actions Key Data Types Inference Concepts Security Pricing Amazon Bedrock Runtime Cheat Sheet Amazon Bedrock Runtime is a high-performance, serverless API that enables developers to make inference requests to Foundation Models (FMs) available in Amazon Bedrock. It serves as the primary runtime interface for building generative AI applications, supporting use cases including text generation, multi-turn conversations, real-time streaming, image generation, embeddings, and more. The API is optimized for low latency and high throughput and provides unified access across multiple model providers.   Amazon Bedrock [...]

Amazon Bedrock Runtime2026-01-07T13:42:57+00:00

Amazon Bedrock API Reference

2026-01-07T13:33:19+00:00

Bookmarks Amazon Bedrock API Reference Common Parameters Amazon Bedrock API Reference Common Errors API Endpoint Structure Best Practices Amazon Bedrock API Reference Sheet Amazon Bedrock API Reference is the master specification for the Amazon Bedrock service. It encompasses protocols, authentication methods, endpoints, common parameters, and error-handling standards used across the entire Bedrock ecosystem (both the Control Plane and the Data Plane).   Amazon Bedrock API Reference Common Parameters Action: (String) Specifies the particular API action to be performed. Version: (String) Indicates the API version used for the request, formatted as [...]

Amazon Bedrock API Reference2026-01-07T13:33:19+00:00

Amazon Sagemaker Ground Truth Cheat Sheet

2026-01-07T05:39:07+00:00

Bookmarks Features How It Works Implementation Use Cases Integration Best Practices Pricing    A fully managed data labeling service that uses a combination of human workers and machine learning to build high-quality datasets for training machine learning models. It provides built-in workflows, multiple workforce options, and automated labeling to reduce cost and time.   Features Automated Data Labeling (Active Learning) Uses a machine learning model to pre-label datasets and continuously learns from human feedback. It sends only low-confidence data to human reviewers, reducing labeling costs by up to 70% compared to [...]

Amazon Sagemaker Ground Truth Cheat Sheet2026-01-07T05:39:07+00:00

Amazon Bedrock Flows Cheat Sheet

2025-12-30T05:34:25+00:00

Bookmarks Features Use Cases Implementation Security Best Practices Pricing    Amazon Bedrock Flows is a core feature for implementing production-ready, complex generative AI applications. It abstracts the heavy lifting of coding integrations, state management, and deployment pipelines into a drag-and-drop visual interface or API. This allows teams—from developers to subject-matter experts—to collaborate and rapidly iterate on AI workflows, moving from prototyping to scalable, versioned deployments in minutes.   Amazon Bedrock Flows Features Visual, Low-Code/No-Code Builder Design workflows using a drag-and-drop interface in Amazon Bedrock Studio. Link nodes representing Prompts, Foundation Models (FMs), Knowledge [...]

Amazon Bedrock Flows Cheat Sheet2025-12-30T05:34:25+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

AWS Fault Injection Service

2025-12-07T12:42:42+00:00

Bookmarks Features Key Concepts Experiment Structure Overview Monitoring & Observability Best Practices Security Pricing AWS Fault Injection Service Cheat Sheet A fully managed chaos engineering service that help you improve the resilience and performance of your AWS applications by injecting controlled faults into your environment. It allows you to simulate real-world failures such as instance interruptions, pod crashes, network issues, and service throttling. Features No infrastructure maintenance required as it is a managed chaos engineering platform. Provides pre-built fault actions for EC2, EKS, ECS, RDS, DynamoDB, EBS, ELB, and many [...]

AWS Fault Injection Service2025-12-07T12:42:42+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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