Explain the difference between EC2 and Lambda.

Quality Thought is the best AWS Data Engineering Training Institute in Hyderabad, offering top-notch training with expert faculty and hands-on experience. Our AWS Data Engineering Training covers key concepts like AWS Glue, Amazon Redshift, AWS Lambda, Apache Spark, Data Lakes, ETL pipelines, and Big Data processing. With industry-oriented projects, real-time case studies, and placement assistance, we ensure our students gain in-depth knowledge and practical skills.

At Quality Thought, we provide structured learning paths, live interactive sessions, and certification guidance to help learners master AWS Data Engineering. Our AWS Data Engineering Course in Hyderabad is designed for freshers and professionals looking to enhance their cloud data skills.

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Amazon EC2 and AWS Lambda are both compute services offered by AWS, but they differ significantly in architecture, management, and use cases.

Amazon EC2 (Elastic Compute Cloud)

EC2 provides virtual servers in the cloud. You can choose the instance type, operating system, and software. It offers full control over the server, just like a physical machine.

  • Infrastructure-as-a-Service (IaaS)

  • You manage the OS, runtime, and server configuration.

  • Suitable for long-running applications or those requiring custom environments.

  • You pay for compute time whether the server is idle or active.

  • Use cases: web hosting, databases, backend services, legacy applications.

AWS Lambda

Lambda is a serverless compute service. You run code without provisioning or managing servers. You simply upload your function, and Lambda runs it in response to triggers (e.g., HTTP requests, file uploads, etc.).

  • Function-as-a-Service (FaaS)

  • Fully managed by AWS – no server maintenance needed.

  • Auto-scales and only charges for actual execution time (in milliseconds).

  • Ideal for event-driven, short-lived tasks.

  • Use cases: APIs, real-time file processing, automation scripts.

In summary, EC2 is best for full control and persistent workloads, while Lambda excels in lightweight, event-driven applications.

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