Amazon Web Services (AWS), founded in 2006 as a subsidiary of Amazon.com, has become the world’s largest cloud provider by offering a broad portfolio of IT infrastructure services across compute, storage, networking, databases, mobile, analytics, application development, and IoT management. With global data centers across 16 geographic regions, millions of customers, aggressive pricing, and a large partner network, AWS is positioned as a default “cloud” choice for organizations aiming to cut IT costs and overcome scalability constraints.
Cloud adoption reshapes not only operations but software development: teams want faster delivery, elastic scaling, and the ability to offload commodity capabilities (such as authentication or messaging) to managed services. Yet even in the cloud, developers still manage infrastructure (provisioning virtual machines, securing networks). Serverless computing—Function as a Service (FaaS)—pushes further by removing infrastructure management, letting developers build systems as small independent services or functions invoked via standard APIs, while the provider provisions resources and bills only for requests served.
AWS Lambda, introduced in 2014, is an event-driven serverless platform where “Lambda functions” execute on demand, integrate tightly with services like S3, DynamoDB, Kinesis, SNS, and API Gateway, and can be orchestrated using AWS Step Functions. Lambda supports Node.js, Python, Java, and C#, can use third-party and native libraries, and can run Linux executables within a sandbox. Use cases include S3-triggered image thumbnail generation and real-time stream processing for IoT and social media. Identity and access control rely on AWS IAM. Recent extensions include Lambda@Edge for low-latency execution at CloudFront edge locations and AWS Greengrass to run Lambda locally on connected devices. Key limitations include cold-start latency, unsuitability for long-running workloads, potential vendor lock-in, limited logging/monitoring, and lack of built-in local testing.
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