Amazon Web Services (AWS)

EC2 offers diverse virtual server options, including Graviton-based instances that provide excellent price-performance for many workloads. Server deployment workflows generally have high success rates when using infrastructure-as-code tools. However, choosing the right instance type for your specific needs requires careful consideration of factors like CPU, memory, and network performance.

S3 provides highly scalable and durable object storage, boasting impressive data durability. With low latency, it's suitable for website hosting, data archiving, and more. While S3's scalability is a major advantage, understanding storage classes and access patterns is crucial for optimizing costs and performance.

RDS offers managed relational databases like MySQL and PostgreSQL, while DynamoDB is a NoSQL database for high-throughput, low-latency workloads. DynamoDB's ability to handle massive scale is a significant benefit, but it requires a different approach to data modeling compared to traditional relational databases.

CloudFront accelerates content delivery globally, reducing website loading times and improving user experience, especially for geographically dispersed users. Optimizing CloudFront configurations and caching policies can further enhance performance and reduce costs.

Lambda allows you to run code without managing servers, offering high scalability and cost-effectiveness for event-driven applications. While execution duration is limited and cold starts can introduce latency, Lambda is a powerful tool for building modern, scalable applications.