Amazon Athena - Serverless SQL Analytics
A comprehensive reference for Amazon Athena: serverless query engine for S3 data, integration with Glue Data Catalog, and analytics patterns …
Aws
Amazon Athena vs Redshift for Analytics
Comparing Amazon Athena and Amazon Redshift for analytics workloads, covering query patterns, performance, cost, and integration with AI/ML …
Amazon Bedrock AgentCore
Amazon Bedrock AgentCore is a managed runtime and governance layer for deploying, operating, and securing AI agents at enterprise scale on …
Amazon Bedrock vs Google Vertex AI - Cloud AI Platforms Compared
Comparing Amazon Bedrock and Google Vertex AI for foundation model access, fine-tuning, RAG, and enterprise AI deployment.
Amazon Connect - AI-Powered Contact Center
A comprehensive reference for Amazon Connect: cloud contact center platform, AI integration with Lex and Bedrock, real-time analytics, and …
Amazon DynamoDB
What DynamoDB is, how its key-value model works, and when to choose DynamoDB for AI application data.
Amazon DynamoDB - Fully Managed NoSQL Database
Amazon DynamoDB is a fully managed, serverless NoSQL database service that delivers single-digit millisecond performance at any scale for …
Amazon EMR - Big Data Processing for AI
A comprehensive reference for Amazon EMR: managed Spark and Hadoop clusters, large-scale data processing, and feature engineering for …
Amazon Forecast - Time Series Forecasting
A comprehensive reference for Amazon Forecast: managed time series prediction, predictor training, and integration patterns for demand …
Amazon Fraud Detector - ML-Based Fraud Prevention
A comprehensive reference for Amazon Fraud Detector: building fraud detection models, defining rules, and integrating real-time fraud …
Amazon Glue - Serverless ETL and Data Integration
A comprehensive reference for Amazon Glue: serverless data integration, ETL jobs, data catalog, and data preparation for AI/ML pipelines.
Amazon HealthLake - Healthcare Data Store
A comprehensive reference for Amazon HealthLake: FHIR-compliant healthcare data storage, NLP enrichment, and analytics for health AI …
Amazon Kendra - Intelligent Enterprise Search
A comprehensive reference for Amazon Kendra: ML-powered enterprise search, document indexing, natural language queries, and integration …
Amazon Kendra vs OpenSearch for RAG Retrieval
Comparing Amazon Kendra and OpenSearch as the retrieval layer for RAG architectures, covering relevance, connectors, and cost.
Amazon Kinesis
What Amazon Kinesis is, how it processes streaming data in real time, and when to use Kinesis versus other streaming options.
Amazon Lex - Conversational AI Interfaces
A comprehensive reference for Amazon Lex: building chatbots and voice interfaces, intent recognition, slot filling, and integration with …
Amazon Lex vs Amazon Connect for Conversational AI
Comparing Amazon Lex and Amazon Connect for building conversational AI experiences, covering use cases, NLU capabilities, and integration …
Amazon Lookout for Metrics - Anomaly Detection
A comprehensive reference for Amazon Lookout for Metrics: automated anomaly detection in business and operational metrics, alerting, and …
Amazon Lookout for Vision - Visual Anomaly Detection
A comprehensive reference for Amazon Lookout for Vision: automated visual inspection, defect detection, and deployment patterns for …
Amazon Managed Grafana - Operational Dashboards
A comprehensive reference for Amazon Managed Grafana: managed visualization service, data source integration, and dashboard patterns for …
Amazon MSK - Managed Streaming for Apache Kafka
A comprehensive reference for Amazon MSK: managed Kafka clusters, event streaming patterns, and integration with AI/ML data pipelines.
Amazon MWAA - Managed Workflows for Apache Airflow
Amazon MWAA is a fully managed service that runs Apache Airflow on AWS, providing workflow orchestration for data pipelines, ETL jobs, and …
Amazon Neptune - Graph Database for AI Applications
A comprehensive reference for Amazon Neptune: graph data modeling, knowledge graphs, fraud detection patterns, and integration with AI/ML …
Amazon Neptune vs OpenSearch for Graph Queries
Comparing Amazon Neptune and OpenSearch for graph data and relationship queries, covering data models, query languages, and AI use cases.
Amazon Personalize - ML-Powered Recommendations
A comprehensive reference for Amazon Personalize: building recommendation engines, real-time personalization, and campaign management for …
Amazon Pinpoint - AI-Driven Customer Engagement
A comprehensive reference for Amazon Pinpoint: multi-channel messaging, audience segmentation, campaign analytics, and ML-powered engagement …
Amazon QuickSight - Business Intelligence and AI Insights
A comprehensive reference for Amazon QuickSight: managed BI dashboards, ML-powered insights, natural language queries, and embedded …
Amazon Redshift - Cloud Data Warehouse
A comprehensive reference for Amazon Redshift: columnar data warehousing, ML integration, and analytics patterns for AI-driven enterprise …
Amazon SageMaker vs Google Vertex AI
A service-by-service comparison of AWS SageMaker and Google Cloud Vertex AI for ML platform capabilities, covering training, deployment, …
Amazon Textract vs Comprehend for Document Processing
Comparing Amazon Textract and Amazon Comprehend for document processing workflows, covering text extraction, entity recognition, and when to …
Amazon Timestream - Time Series Database
A comprehensive reference for Amazon Timestream: purpose-built time series storage, query patterns, and integration with IoT and operational …
Amazon Timestream vs DynamoDB for Time-Series Data
Comparing Amazon Timestream and DynamoDB for time-series data storage, covering query capabilities, data lifecycle, and AI/ML integration.
API Gateway
What an API gateway is, how it manages API traffic, and when to use managed gateways versus custom solutions.
AWS Cloud Governance for AI Workloads
Practical guide for implementing cloud governance on AWS for AI and ML workloads, covering Organizations, SCPs, tagging, cost management, …
AWS Fargate - Serverless Container Compute
AWS Fargate is a serverless compute engine for containers that eliminates the need to manage underlying EC2 instances when running …
AWS IoT Core - IoT Platform for AI Applications
A comprehensive reference for AWS IoT Core: device connectivity, message routing, rules engine, and integration patterns for IoT-driven AI …
AWS Lambda vs Fargate for AI Workloads
Comparing Lambda and Fargate for AI inference and processing workloads, covering latency, cost, scaling, container support, and GPU …
AWS vs Azure Governance Tools
Comparison of AWS and Azure governance capabilities for AI workloads, covering organization management, policy enforcement, cost control, …
AWS WAF - Web Application Firewall
AWS WAF is a web application firewall that protects web applications and APIs from common exploits, bot traffic, and malicious requests at …
Cost Estimation for AWS AI Services
How to estimate and manage costs for AI workloads on AWS, covering Bedrock, SageMaker, compute, storage, and strategies for cost …
DynamoDB vs OpenSearch for AI Applications
Comparing DynamoDB and OpenSearch for AI application backends, covering data patterns, vector search, performance, cost, and use case fit.
Kiro
What Kiro is, how AWS's spec-driven AI IDE structures development through requirements, design, and task specifications, and how it differs …
Kubernetes vs ECS for AI Workloads
Comparing Kubernetes (EKS) and Amazon ECS for running AI training and inference workloads, covering GPU support, scaling, operations, and …
Load Balancer
What load balancers do, the types available on AWS, and how to choose the right one for your workload.
Migrating AI Workloads to the Cloud
A practical guide for migrating on-premise AI and ML workloads to cloud platforms, covering assessment, planning, execution, and …
NAT Gateway
What NAT gateways do, how they enable private subnet internet access, and cost considerations for AWS deployments.
S3 vs EFS for AI Workloads
Comparing Amazon S3 and Amazon EFS for AI training data, model storage, and inference workloads, covering performance, cost, and access …
Subnet
What subnets are, how they segment VPC networks, and best practices for subnet architecture on AWS.
VPC - Virtual Private Cloud
What a VPC is, how it provides network isolation on AWS, and essential VPC design considerations for AI workloads.
AWS Well-Architected AI/ML Lens - Applying Best Practices to Machine Learning
The AWS ML Lens extends the Well-Architected Framework to cover ML lifecycle phases, ML pipeline automation, model security, inference …
Cost Optimization (Well-Architected Pillar)
The Well-Architected pillar covering right-sizing, reserved capacity, spot instances, and cost allocation - and how it applies to AI …
Hybrid Cloud AI Video Pipeline with Amazon FSx for NetApp ONTAP
How to build an AI video processing pipeline that spans on-premises storage and AWS cloud using FSx for NetApp ONTAP as a hybrid bridge, …
Operational Excellence (Well-Architected Pillar)
The Well-Architected pillar covering runbooks, automation, observability, incident response, and continuous improvement - and how it applies …
Performance Efficiency (Well-Architected Pillar)
The Well-Architected pillar covering compute selection, storage, database, and networking choices - and how it applies to AI workloads …
Reliability (Well-Architected Pillar)
The Well-Architected pillar covering fault tolerance, disaster recovery, health checks, and scaling - and how it applies to AI workloads …
Security (Well-Architected Pillar)
The Well-Architected pillar covering IAM, encryption, network security, and detection - and how it applies to AI workloads including …
Sustainability (Well-Architected Pillar)
The Well-Architected pillar added in 2021 covering efficient resource usage, managed services, and data lifecycle management - and how it …
The Well-Architected Framework - Why Every Cloud Provider Has One
What the Well-Architected Framework is, its origins at AWS, how Azure and GCP adopted it, its six pillars, and why it matters especially for …
Amazon Bedrock AgentCore - Serverless AI Agent Hosting
How Amazon Bedrock AgentCore provides managed infrastructure for running AI agents at scale without managing servers.
Amazon OpenSearch Service - Search and Analytics for AI
Using Amazon OpenSearch Service for vector search, full-text search, and log analytics in AI-powered applications.
Amazon Polly - Text-to-Speech for Applications
Using Amazon Polly to generate natural-sounding speech from text in AI applications, with SSML control and neural voice options.
Amazon S3 - Object Storage for AI Pipelines
How Amazon S3 functions as the storage backbone for AI data pipelines: ingest, staging, output, and lifecycle management.
Amazon Translate - Neural Machine Translation
Using Amazon Translate for real-time and batch document translation in multilingual AI applications.
AWS Elemental MediaConvert - Video Processing at Scale
Using AWS Elemental MediaConvert for transcoding, format conversion, and video processing in AI media pipelines.
Shared Responsibility Model
What the shared responsibility model is, how AWS, Azure, and GCP divide security duties, and special considerations for AI and ML workloads.
Strands Agents - AWS-Native Agent SDK
What Strands Agents is, how it differs from CrewAI and LangGraph, and when to use it for AWS-hosted agent applications.
The Shared Responsibility Model for AI on AWS
How AWS shared responsibility applies to AI and ML workloads: data, model, and infrastructure responsibilities across Bedrock and SageMaker.
AI Transcription with Accurate Speaker Attribution
How to achieve production-quality multi-speaker transcription with speaker diarization, using AWS Transcribe and Bedrock post-processing.
Amazon Bedrock - Enterprise AI Foundation
A comprehensive reference for Amazon Bedrock: available models, key features, use cases, and pricing patterns for enterprise teams.
Amazon Cognito - User Authentication for AI Apps
Amazon Cognito User Pools and Identity Pools: JWT token structure and expiry, MFA options, SAML/OIDC federation, Lambda triggers, rate …
Amazon Comprehend - NLP at Scale
Sentiment analysis, entity extraction, topic modeling, and language detection with Amazon Comprehend. When to use Comprehend vs Bedrock for …
Amazon Rekognition - Image and Video Analysis
What Rekognition does, which features work well in enterprise applications, accuracy considerations, pricing, and common integration …
Amazon SageMaker - Custom ML Model Training and Deployment
What SageMaker is, when to use it instead of Bedrock, key capabilities, pricing model, and the workflows that suit it best.
Amazon SageMaker vs Bedrock - Build vs Buy
When to use SageMaker for custom ML versus Bedrock for managed foundation models - a practical comparison for enterprise AI teams.
Amazon Textract - Document Data Extraction
A reference guide to Amazon Textract: OCR capabilities, table and form extraction, query-based extraction, and integration patterns for …
Amazon Transcribe - Speech-to-Text for Enterprise
Amazon Transcribe capabilities, accuracy characteristics, pricing, and the integration patterns that work well for enterprise transcription …
AWS AI Services vs Azure AI - Complete Comparison
A service-by-service map of AWS AI and ML services to their Azure AI equivalents, covering language models, speech, vision, and MLOps.
AWS AI Services vs Google Cloud AI - Complete Comparison
A service-by-service map of AWS AI and ML services to their Google Cloud equivalents, covering language models, speech, vision, and MLOps.
AWS Amplify - Full-Stack App Development
Using AWS Amplify to deploy front-end applications, host static sites, and connect to AWS AI backends.
AWS Lambda for AI Pipelines
Serverless inference, event-driven processing, and integration patterns with Bedrock, SageMaker, and Step Functions. Cost optimization for …
AWS Step Functions - Workflow Orchestration for AI Pipelines
How Step Functions orchestrates multi-step AI workflows, handles retries and errors, and integrates with other AWS services - with practical …
Building an AI Video Pipeline on AWS
Architecture guide for an end-to-end AI video pipeline: S3 ingest, Lambda trigger, Rekognition analysis, Bedrock processing, FFmpeg editing, …
Case Pattern: AI Video Processing Pipeline for a National Broadcaster
Architecture and lessons from building a production AI pipeline that processes, indexes, and makes searchable a large library of broadcast …
Case Pattern: Building a Geospatial AI Platform from Public Data
How a team built a geospatial intelligence platform combining satellite imagery, public datasets, and AI analysis to generate location-based …
Case Pattern: Multi-Track Audio Analysis for Film Production
Architecture for an AI system that processes multi-track audio from film production, identifying issues, categorizing content, and …
Getting Started with Amazon Bedrock for Enterprise AI
A practical introduction to Amazon Bedrock: what it is, which models are available, how pricing works, and how to get your first use case …
Well-Architected Framework
The cloud architecture review methodology used by AWS, Azure, and Google Cloud to evaluate workloads against proven best practices across …