AWS (Amazon Web Services): the cloud backbone for your data
Discover AWS (Amazon Web Services), one of the most widely used clouds in the world
AWS (Amazon Web Services) is Amazon's cloud computing platform, putting hundreds of compute, storage, data and AI services at the disposal of your applications.
Launching a web application without buying servers, archiving terabytes of documents, building a data warehouse or deploying an AI assistant: AWS covers the whole spectrum, with a global infrastructure and usage-based billing. It is the technical backbone of countless startups and large enterprises alike.
AWS is built around four functional pillars:
Each pillar groups managed services that you combine to fit your needs.
1. Compute and hosting: power on demand
Scale your resources to actual load, with no hardware investment.
- Deploy your applications on virtual servers with Amazon EC2
- Run code without managing servers using AWS Lambda
- Orchestrate your containers with Amazon ECS or managed Kubernetes (EKS)
- Distribute workloads across regions worldwide to bring services closer to your users
- Discover the service here
2. Storage and databases: your data kept safe
From raw files to transactional databases, every type of data has its service.
- Store files, backups and data lakes in Amazon S3
- Run managed relational databases with Amazon RDS (PostgreSQL, MySQL and more)
- Handle very high loads with DynamoDB, the serverless NoSQL database
- Automate backups, replication and disaster recovery
3. Data and analytics: turn your data into decisions
Build your entire data platform without leaving the AWS ecosystem.
- Centralise your analytical data in the Amazon Redshift warehouse
- Prepare and catalogue your data with AWS Glue
- Query your S3 files directly in SQL with Amazon Athena
- Process real-time data streams with Amazon Kinesis
4. AI and machine learning: generative AI with Bedrock
AWS provides access to leading AI models and the tools to put them into production.
- Integrate generative AI models (including Claude by Anthropic) through Amazon Bedrock
- Train and deploy your machine learning models with Amazon SageMaker
- Add transcription, translation or document analysis with ready-to-use AI services
- Build RAG applications by connecting Bedrock to your knowledge bases
- Discover the service here
Planning an AWS project? turnK designs your cloud architecture and deploys your data and AI platforms end to end. Take a look at our Data & AI services or contact us: our consultants reply within 48 hours.
Les questions les plus fréquentes
AWS is Amazon's cloud computing platform, one of the most comprehensive on the market. It offers hundreds of compute, storage, database, data and AI services to build and scale applications worldwide.
Startups and large enterprises alike: usage-based billing lets you start small and scale without limits. AWS primarily targets technical teams, but a partner like turnK lets you benefit from it without in-house cloud expertise.
Compute (EC2, Lambda, containers), storage and databases (S3, RDS, DynamoDB), analytics (Redshift, Glue, Athena) and AI with Amazon Bedrock for generative AI and SageMaker for machine learning.
AWS uses pay-as-you-go pricing: you pay for the resources you consume, with discounts for longer-term commitments and a free tier to try selected services. Up-to-date pricing is available on the official AWS website.
All three cover the essentials; the choice depends on your existing stack (Microsoft ecosystem, Google tools), your data and AI needs, and your in-house skills. turnK helps you compare architectures and costs before you commit.
