AWS / Amazon Web Services – Definition, Use Cases and Best Practices at a Glance
Amazon's leading cloud platform with over 200 services for compute, storage, AI, databases and more – the basis for modern web apps and AI projects.
What is AWS? Cloud Services Explained
Amazon Web Services is the clear market leader in cloud computing with over 30% share. From startups to Fortune 500 – Netflix, Airbnb, BMW and Siemens use AWS. With over 200 services AWS covers almost every IT need – from simple web hosting to complex machine learning pipelines. For many companies the question is not whether to use AWS but how to use it best.
This glossary entry for AWS / Amazon Web Services gives you a clear Definition, practical Use Cases and Best Practices at a glance – with examples, pros and cons, and FAQs.
What is AWS / Amazon Web Services?
- AWS / Amazon Web Services – Amazon's leading cloud platform with over 200 services for compute, storage, AI, databases and more – the basis for modern web apps and AI projects.
AWS (Amazon Web Services) is a cloud computing platform that has provided IT infrastructure and services on demand since 2006. Instead of buying and running their own servers, companies rent compute, storage, databases, networking and AI services and pay only for what they use (pay-as-you-go).
AWS runs 33 regions with over 100 Availability Zones worldwide and offers high availability and compliance (including GDPR-aligned regions in Frankfurt and Ireland).
How does AWS / Amazon Web Services work?
AWS provides infrastructure as code: resources can be provisioned in seconds via APIs, SDKs or the Management Console. EC2 provides virtual servers, S3 offers object storage, RDS manages databases, Lambda runs code serverlessly. Access is controlled with IAM (Identity and Access Management). With Infrastructure as Code (Terraform, CloudFormation) the whole setup is versioned and reproducible.
Auto Scaling adjusts capacity to load – scale up for Black Friday, scale down at night.
Practical Examples
Startup stack: EC2 for web server, RDS for PostgreSQL, S3 for images/uploads, CloudFront as CDN, SES for email – set up in an hour.
AI pipeline: SageMaker trains models, Lambda exposes them as API, S3 stores training data, CloudWatch monitors performance.
Disaster recovery: Critical systems replicated between Frankfurt and Ireland – the other region takes over if one fails.
Big data: Redshift (data warehouse) analyses terabytes of business data; Athena runs SQL directly on S3.
IoT: AWS IoT Core connects millions of sensors; Kinesis processes streams in real time; DynamoDB stores sensor data.
Typical Use Cases
Web applications: Hosting, CDN, databases and load balancing for sites and SaaS
AI and machine learning: Training and deploying models with SageMaker, Rekognition, Comprehend
Analytics: Data lakes on S3, ETL with Glue, analysis with Redshift and QuickSight
Enterprise migration: Gradual migration from on-premise to the cloud
DevOps: CI/CD with CodePipeline, container orchestration with ECS/EKS
Advantages and Disadvantages
Advantages
- Broadest service portfolio: Over 200 services for practically every use case
- Global presence: 33 regions worldwide including GDPR-aligned locations in Europe
- Pay-as-you-go: No upfront investment, billing by actual use
- Mature ecosystem: Largest community, documentation and certifications
- Enterprise-ready: SOC 2, ISO 27001, HIPAA, PCI-DSS and more
Disadvantages
- Complexity: The number of services and options can be overwhelming
- Cost risk: Without monitoring, costs can surprise (forgotten resources, data transfer)
- Vendor lock-in: Proprietary services (DynamoDB, Lambda) make switching harder
- Learning curve: AWS expertise requires significant investment or certified partners
Frequently Asked Questions about AWS / Amazon Web Services
What does AWS cost?
AWS offers a 12-month free tier (e.g. 750h EC2, 5 GB S3, 750h RDS). After that, pricing is usage-based: a small web server (t3.micro) is about €8/month; a medium web app €100–500/month. Enterprise setups with HA, multiple environments and large data can be €1,000–10,000+/month. AWS has a pricing calculator and Reserved Instances for up to 72% savings.
AWS, Azure or Google Cloud – which is better?
AWS has the broadest portfolio and greatest maturity. Azure is strong for Microsoft integration (Office 365, Active Directory, .NET). Google Cloud is strong for data and AI/ML (TensorFlow, BigQuery). For most projects AWS is a safe choice. With a strong Microsoft stack, Azure is natural. For data-heavy AI, Google Cloud can be advantageous.
Is AWS GDPR compliant?
Yes. AWS offers GDPR-aligned infrastructure in Europe (eu-central-1 Frankfurt, eu-west-1 Ireland). AWS provides Data Processing Agreements (DPA), standard contractual clauses and compliance documentation. Responsibility is shared: AWS secures infrastructure; the customer is responsible for configuration and data processing (Shared Responsibility Model).
Direct next steps
If you want to apply or evaluate AWS / Amazon Web Services in a real project, start with these transactional pages:
AWS / Amazon Web Services in the Context of Modern IT Projects
This page provides a concise definition of AWS / Amazon Web Services, practical use cases and best practices at a glance — everything you need to evaluate the technology for your next project. AWS / Amazon Web Services falls within the domain of Infrastructure and plays a significant role across a wide range of IT projects. When evaluating whether AWS / Amazon Web Services is the right fit, organizations should look beyond the technical merits and consider factors such as existing team expertise, current infrastructure, long-term maintainability, and total cost of ownership.
Drawing on our experience from over 250 software projects, we have found that correctly positioning a technology or methodology within the broader project context often matters more than its isolated strengths.
At Groenewold IT Solutions, we have worked with AWS / Amazon Web Services across multiple client engagements and understand both its advantages and the typical challenges that arise during adoption. If you are unsure whether AWS / Amazon Web Services suits your particular requirements, we are happy to provide an honest, no-obligation assessment. We analyze your specific situation and recommend the approach that delivers the most value — even if that means suggesting an alternative solution.
For more terms in the area of Infrastructure and related topics, see our IT Glossary. For concrete applications, costs, and processes we recommend our service pages and topic pages — there you will find many of the concepts explained here put into practice.
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