The AWS services reference covers over 40 key services organized by category: Compute, Storage, Database, Networking, AI/ML, and Developer Tools. Each entry includes a description, common use cases, and pricing model. Search to find services quickly.
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How to Use This AWS Services Reference
AWS has over 200 services. This AWS services reference focuses on the 40+ services that appear most frequently in production architectures, grouped by function.
Step 1: Filter by category
Use the category tabs to narrow to a specific area — Compute, Storage, Database, Networking, AI/ML, or Developer Tools. Each tab shows only services in that category.
Step 2: Search by use case
The search bar filters across service names, descriptions, and use cases. Try searching "serverless", "cache", "container", or "relational" to find services for a specific pattern.
Step 3: Understanding pricing models
Each service lists its pricing model: On-Demand (pay per use, no commitment), Reserved (1-3 year commitment, 30-60% discount), Spot (up to 90% discount, can be interrupted), Serverless (pay per invocation/execution), and Managed (flat or usage-based).
Frequently Asked Questions
Is this AWS services reference free?
Yes, completely free with no signup. All service descriptions and pricing model notes are built into the page.
What is the difference between EC2 and Lambda?
EC2 gives you a virtual machine that runs continuously — you control the OS, install software, and pay per hour. Lambda runs code in response to events without managing servers — you pay per invocation and execution time. Lambda is ideal for event-driven, intermittent workloads; EC2 for persistent applications.
What is S3 used for?
S3 (Simple Storage Service) is AWS's object storage — store and retrieve any amount of data at any time. Common uses: static website hosting, backups, data lakes, storing media files, and as a source/destination for data pipelines. S3 offers 11 nines (99.999999999%) of durability.
What AWS database should I use?
RDS for relational (PostgreSQL, MySQL, SQL Server). DynamoDB for key-value/document with massive scale and single-digit ms latency. Aurora for high-performance relational with MySQL/PostgreSQL compatibility. ElastiCache (Redis/Memcached) for caching. Redshift for analytics/data warehouse workloads.
Is my data safe when using this reference?
Yes. This reference is purely static and runs in your browser. No data is sent anywhere.