What are some common use cases for AWS in real-world applications?

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AWS (Amazon Web Services) supports DevOps and Continuous Integration/Continuous Deployment (CI/CD) through a wide range of tools and services designed to automate software development, testing, and deployment.

AWS Lambda is a server less compute service that lets you run your code without managing servers. You just upload your code, set up triggers (events), and Lambda automatically runs your code in response to those events — scaling automatically as needed.

1. Web Hosting and Content Delivery

Hosting websites and web applications on scalable, secure infrastructure.

Using Amazon Cloud Front for fast content delivery with low latency globally.

2. Data Storage and Backup

Storing vast amounts of data securely in services like Amazon S3.

Automating backups and disaster recovery to protect critical information.

3. Big Data Analytics

Processing and analyzing large datasets with services like Amazon EMR, Redshift, and Athena.

Gaining business insights through data warehousing and real-time analytics.

4. Machine Learning and AI

Building AI-powered applications using Amazon Sage Maker, Recognition (image recognition), or Lex (chatbots).

Automating tasks like natural language processing, fraud detection, and predictive analytics.

5. IoT (Internet of Things)

Connecting and managing IoT devices securely via AWS IoT Core.

Analyzing device data to improve operational efficiency.

6. Server less Computing

Running code without managing servers using AWS Lambda.

Building scalable event-driven applications and microservices.

7. Enterprise Applications

Migrating ERP, CRM, and other business-critical applications to AWS for better scalability and availability.

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How do you use AWS Lambda for server less data processing?

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