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Azure

37 services

Cloud reference — Microsoft AI stack

The Azure stack behind enterprise AI

Thirty-seven services across eight layers — from Azure OpenAI and AI Foundry down to Entra ID, Key Vault, and the KQL queries that keep it accountable. Each entry carries real quotas, pricing shape, integration points, and its closest AWS equivalent for anyone translating between clouds.

60+
Regions
200+
Services
192
Front Door PoPs
Microsoft global backbone

Generative AI

5 services
Generative AIAWS · Amazon Bedrock

Azure OpenAI

OpenAI frontier models inside Azure's security boundary

GPT-4o, GPT-4o mini, o1/o1-mini/o3-mini reasoning models, DALL-E 3, Whisper, text-embedding-3-large/small
Global, Data Zone, and Regional deployment types with different quota pools and data-residency guarantees
Provisioned Throughput Units (PTU) — reserved capacity with predictable latency for production workloads
Details →2023
Generative AIAWS · Amazon Bedrock + SageMaker Studio

AI Foundry

Unified portal and SDK for building, evaluating, and shipping AI apps

Model catalog: 1,600+ models — OpenAI, Llama 3.x, Mistral, Cohere, Phi, DeepSeek, Hugging Face
Serverless API (pay-per-token MaaS) or managed compute deployment for open models
Prompt flow: DAG-based LLM workflow authoring with Python/LLM/prompt nodes and variants
Details →2023
Generative AIAWS · Amazon Q Business

Copilot Studio

Low-code platform for building copilots and autonomous agents

Generative answers grounded on SharePoint, Dataverse, websites, and uploaded documents
Generative orchestration — LLM-driven selection of topics, knowledge, and actions per turn
Topic authoring canvas with variables, conditions, and adaptive cards
Details →2023
Generative AIAWS · Amazon Bedrock Guardrails

AI Content Safety

Harm detection, prompt shields, and groundedness checks for GenAI

Four harm categories — hate, violence, sexual, self-harm — with 0–7 severity scoring
Prompt Shields: jailbreak (direct) and indirect prompt-injection attack detection
Groundedness detection — verifies responses against source documents, with optional correction
Details →2023
Generative AIAWS · Amazon Nova Micro / Titan Models

Phi Models

Small language models punching far above their parameter count

Phi-4 (14B): frontier-class math and reasoning performance at SLM size
Phi-3 family: mini (3.8B), small (7B), medium (14B) with 4K and 128K context variants
Phi-3 Vision / Phi-3.5 Vision for image + text multimodal understanding
Details →2023

ML Platform

1 service
ML PlatformAWS · Amazon SageMaker

Azure Machine Learning

End-to-end enterprise MLOps — train, track, deploy, govern

Compute clusters: auto-scale 0→N CPU/GPU nodes, spot/low-priority VMs, A100/H100 ND-series with InfiniBand for distributed training
Compute instances: managed dev boxes with JupyterLab, VS Code Remote, auto-shutdown schedules, and setup scripts
AutoML for classification, regression, forecasting, NLP, and computer vision with model explainability built in
Details →2018

AI Applications

9 services
AI ApplicationsAWS · Amazon Rekognition

AI Vision

Image analysis, OCR, faces, and spatial video understanding

Image Analysis 4.0 on the Florence foundation model — captioning, dense captions, tags, objects in one call
Read OCR: printed + handwritten text, 160+ languages, images and multi-page PDFs
Smart cropping and thumbnail generation aware of regions of interest
Details →2017
AI ApplicationsAWS · Amazon Comprehend

AI Language

NLP suite — NER, sentiment, summarization, PII, custom QA

Named entity recognition across 100+ entity types, plus entity linking to Wikipedia
PII detection and redaction (SSNs, credit cards, names, addresses) for text and conversations
Sentiment analysis with aspect-based opinion mining (target + assessment pairs)
Details →2021
AI ApplicationsAWS · Amazon Transcribe + Polly

AI Speech

Speech-to-text, 400+ neural voices, translation, voice cloning

Real-time streaming STT with interim results, word-level timestamps, and punctuation
Batch transcription API for large audio archives (diarization, multi-channel)
Custom Speech: acoustic + language model adaptation for domain vocabulary and accents
Details →2018
AI ApplicationsAWS · Amazon Textract

Document Intelligence

Layout-aware document extraction — invoices, IDs, custom models

Layout model: paragraphs, tables, selection marks, barcodes, formulas, reading order — with Markdown output for RAG
Read model: high-accuracy print + handwriting OCR across 300+ languages
Prebuilt models: invoice, receipt, ID document, W-2, 1098/1099, health insurance card, contract, pay stub
Details →2020
AI ApplicationsAWS · Amazon Kendra + OpenSearch

AI Search

Hybrid vector + keyword retrieval with semantic reranking

Vector search with HNSW (approximate) and exhaustive KNN, up to 4,096-dimension embeddings
Hybrid retrieval: BM25 + vector results fused with Reciprocal Rank Fusion (RRF)
Semantic ranker: cross-encoder L2 reranking with extractive captions and answers
Details →2015
AI ApplicationsAWS · Amazon Translate

AI Translator

Neural machine translation across 100+ languages

Text translation across 100+ languages, multiple target languages per request
Document Translation: async batch for DOCX/PPTX/XLSX/PDF/HTML with layout preservation
Synchronous single-document translation endpoint (no Blob staging required)
Details →2016
AI ApplicationsAWS · Amazon Lex

Bot Service

Bot Framework runtime and omnichannel connectivity

Bot Framework SDK v4 for C#, JavaScript, and Python with dialog and state management
Omnichannel: Teams, web chat, Slack, Facebook, email, SMS, Direct Line custom clients
Direct Line and Direct Line Speech channels for embedded and voice experiences
Details →2017
AI ApplicationsAWS · Amazon Personalize

AI Personalizer

Contextual-bandit reinforcement learning for content ranking

Contextual bandit learning loop: Rank API chooses, Reward API teaches
Action features + context features as arbitrary JSON namespaces
Configurable exploration percentage to balance exploit vs discover
Details →2019
AI ApplicationsAWS · Amazon Lookout for Metrics

Anomaly Detector

Univariate and multivariate time-series anomaly detection

Univariate detection: ensemble of spectral residual, ESD, and seasonal decomposition algorithms
Automatic seasonality detection and per-series algorithm selection
Streaming (last-point) and batch (entire-series) detection modes
Details →2021

Compute & Serverless

5 services
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Compute & ServerlessAWS · AWS Lambda

Functions

Event-driven serverless compute with Durable orchestration

Triggers: HTTP, Timer (CRON), Blob, Queue, Service Bus, Event Hubs, Event Grid, Cosmos DB change feed, Kafka, SignalR
Declarative input/output bindings — read/write queues, blobs, and databases without SDK plumbing
Durable Functions: stateful orchestrators with fan-out/fan-in, chaining, human interaction, and entity patterns
Details →2016
Compute & ServerlessAWS · AWS App Runner / ECS Fargate

Container Apps

Serverless containers with KEDA scaling, Dapr, and GPU profiles

Scale to zero and event-driven autoscaling via 50+ KEDA scalers (HTTP, queues, Kafka, CRON)
Integrated Dapr sidecars: service invocation, pub/sub, state stores, bindings, secrets
Revisions with traffic splitting for blue/green and canary deployment
Details →2022
Compute & ServerlessAWS · Amazon EKS

AKS

Managed Kubernetes with GPU pools and an AI toolchain operator

Managed control plane with uptime SLA (Standard), automatic upgrade channels, and maintenance windows
System + user node pools, spot node pools, and cluster autoscaler with KEDA event scaling
AKS Automatic: preset production clusters with node auto-provisioning (Karpenter-based)
Details →2018
Compute & ServerlessAWS · AWS Elastic Beanstalk

App Service

Managed PaaS web hosting with slots and zero-downtime swaps

Runtimes: .NET, Node, Python, Java/Tomcat, PHP, plus custom containers on Linux/Windows
Deployment slots with zero-downtime swap, slot-specific config, and % traffic routing
Autoscale: schedule + metric rules (Premium v3 adds automatic scaling with pre-warmed instances)
Details →2015
Compute & ServerlessAWS · AWS Fargate

Container Instances

Single containers on demand, billed per second

Containers start in seconds with no cluster or plan to provision
Per-second billing — pay only while the container group runs
Container groups: multi-container sidecars with shared localhost network and volumes
Details →2018

Data & Storage

7 services
Data & StorageAWS · Amazon S3

Blob Storage

Massively scalable object storage with a data-lake mode

Hot / Cool / Cold / Archive access tiers with lifecycle management policies
Azure Data Lake Storage Gen2 mode: hierarchical namespace, POSIX ACLs, Hadoop ABFS driver
Block blobs up to 190.7 TiB; append blobs for logs; page blobs for random I/O
Details →2010
Data & StorageAWS · Amazon DynamoDB

Cosmos DB

Planet-scale NoSQL with multi-region writes and DiskANN vectors

99.999% availability SLA with multi-region writes and automatic failover
Five consistency levels: strong, bounded staleness, session, consistent prefix, eventual
APIs: NoSQL, MongoDB, Cassandra, Gremlin (graph), Table, PostgreSQL (Citus)
Details →2017
Data & StorageAWS · Amazon Aurora / RDS

SQL Database

Managed SQL Server with serverless and 100 TB Hyperscale tiers

Serverless tier: per-second vCore billing with auto-pause/resume on idle
Hyperscale: up to 100 TB, page-server storage architecture, near-instant backups, fast named replicas
Business Critical: in-memory OLTP, local SSD, built-in readable secondary replica
Details →2010
Data & StorageAWS · Amazon ElastiCache

Cache for Redis

Managed in-memory cache with RediSearch vector similarity

Sub-millisecond latency for cache, session, counter, and queue patterns
Tiers: Basic, Standard (replicated), Premium (cluster + persistence + VNet), Enterprise (Redis Stack)
RediSearch vector similarity (HNSW/FLAT) for embeddings and semantic caching
Details →2014
Data & StorageAWS · AWS Glue

Data Factory

Serverless data integration with 100+ connectors

100+ connectors: SaaS (Salesforce, SAP, Dynamics), databases, files, REST/OData
Copy Activity with parallel DIU-scaled movement, staging, and fault-tolerant skip/log
Mapping Data Flows: visual Spark transformations on managed clusters
Details →2015
Data & StorageAWS · Amazon Kinesis Data Streams

Event Hubs

Kafka-compatible event streaming at millions of events per second

Millions of events/second with partitioned consumers and consumer groups
Apache Kafka protocol endpoint — existing Kafka clients work unchanged
Capture: automatic archival of streams to Blob/ADLS Gen2 in Avro
Details →2014
Data & StorageAWS · Amazon SQS + SNS

Service Bus

Enterprise message broker — queues, topics, sessions, DLQs

Queues with peek-lock, at-least-once or at-most-once receive, and competing consumers
Topics + subscriptions with SQL filter and correlation filter rules per subscription
Dead-letter queues on every entity with automatic poison-message routing
Details →2011

Networking & APIs

4 services
Networking & APIsAWS · Amazon API Gateway

API Management

Full API lifecycle gateway — now the AI gateway for LLM traffic

Policy engine: inbound/backend/outbound XML policies at global/product/API/operation scope
AI gateway: llm-token-limit (TPM per subscription), token quotas, and token-metric emitting policies
Semantic caching of LLM responses backed by Azure Cache for Redis
Details →2014
Networking & APIsAWS · Amazon CloudFront

Front Door

Global anycast entry point — CDN, WAF, and L7 load balancing

192+ global PoPs with anycast TLS termination and split TCP for faster handshakes
Traffic rides the Microsoft global backbone from edge to origin
Global load balancing: latency/priority/weighted routing with health probes
Details →2019
Networking & APIsAWS · Application Load Balancer (ALB)

Application Gateway

Regional L7 load balancer with WAF and end-to-end TLS

URL path-based and multi-site (host header) routing to backend pools
v2 autoscaling capacity units with zone redundancy and static VIP
WAF: OWASP CRS 3.x managed rules, per-site policies, exclusions, custom rules, bot protection
Details →2015
Networking & APIsAWS · AWS Amplify Hosting

Static Web Apps

Git-driven Jamstack hosting with managed Functions APIs

Git-driven CI/CD: push to build and deploy via GitHub Actions/Azure Pipelines automatically
Globally distributed static content with free managed SSL
Integrated /api backend: managed Azure Functions or linked BYO backends (App Service, Container Apps, APIM)
Details →2021

Security & Identity

3 services
Security & IdentityAWS · AWS IAM + Cognito

Entra ID

Cloud identity platform — OAuth, Conditional Access, managed identities

OAuth 2.0 / OpenID Connect / SAML identity provider with MSAL libraries for every stack
Managed identities (system- and user-assigned) — credential-free auth between Azure resources
Conditional Access: policy-driven MFA, device compliance, location, and risk gating per app
Details →2012
Security & IdentityAWS · AWS Secrets Manager + KMS

Key Vault

Centralized secrets, keys, and certificates with HSM backing

Secrets management with versioning, expiry dates, and activation windows
Keys: RSA 2048–4096, EC, software or FIPS 140-2 validated HSM protection (Premium)
Certificate lifecycle: issuance and auto-renewal via DigiCert/GlobalSign integration
Details →2015
Security & IdentityAWS · AWS Security Hub + GuardDuty

Defender for Cloud

CSPM + workload protection across Azure, AWS, and GCP

Secure Score: continuous posture assessment against Microsoft Cloud Security Benchmark
Attack-path analysis chaining misconfigs into exploitable routes (Defender CSPM)
Multicloud coverage: native connectors for AWS accounts and GCP projects
Details →2016

Monitoring & Ops

3 services
Monitoring & OpsAWS · Amazon CloudWatch

Azure Monitor

Unified metrics, logs, alerts, and autoscale for all Azure resources

Platform metrics: 1-min granularity, 93-day retention, free for all Azure resources
Diagnostic settings routing resource logs to Log Analytics, Event Hubs, or Storage
Metric alerts with dynamic thresholds (ML-trained baselines) and multi-resource scoping
Details →2017
Monitoring & OpsAWS · AWS X-Ray

Application Insights

APM — distributed tracing, dependency maps, live metrics

Auto-instrumentation for App Service, Functions, and AKS — no code changes
OpenTelemetry distro for .NET, Java, Node.js, and Python with Azure exporters
Distributed tracing with W3C trace context across service and queue hops
Details →2016
Monitoring & OpsAWS · CloudWatch Logs Insights

Log Analytics

KQL query workspace over all operational telemetry

KQL: pipe-based query language with summarize, join, parse, ML operators (autocluster, series_decompose_anomalies), and render
Table plans: Analytics, Basic, and Auxiliary tiers balancing cost vs query capability
Long-term archive up to 12 years with search jobs and restore for rehydration
Details →2015

Reference architecture — Azure GenAI app

The request path, end to end

User

Browser / mobile client

Azure Front Door

Global edge — TLS, WAF, caching

API Management

AI gateway — auth, token limits

Container Apps / Functions

Orchestration & business logic

Azure OpenAI

GPT-4o / o-series inference

AI Search

Hybrid vector retrieval (RAG)

Cosmos DB

Session & conversation state

Requests land on Azure Front Door's 192 edge PoPs, ride the Microsoft global backbone, and hit API Management acting as an AI gateway — validating Entra ID tokens, enforcing per-subscriber token-rate limits, and load-balancing across Azure OpenAI deployments with semantic caching. The orchestration tier in Container Apps or Durable Functions grounds the prompt with hybrid vector + semantic results from AI Search, calls Azure OpenAI with streaming, and persists each turn to Cosmos DB — with managed identities securing every hop, so no connection string ever leaves Key Vault.