Amazon EC2

About Amazon EC2

Amazon Elastic Compute Cloud provides secure, resizable compute capacity in the cloud. Offers wide selection of instance types optimized for different use cases including compute-intensive, memory-intensive, and storage-optimized workloads. Perfect for running data processing jobs, ML training, and distributed applications.

Key Features

• 1Hundreds of instance types optimized for compute, memory, and GPU workloads
• 2Spot instances offer up to 90% cost reduction for fault-tolerant batch jobs
• 3Auto Scaling Groups adjust capacity based on CPU or custom metrics
• 4Placement groups for low-latency communication between cluster nodes
• 5AMIs enable reproducible environment snapshots for consistent deployments

How Python Data Engineers Use Amazon EC2

Python data engineers use EC2 to run compute-intensive batch processing jobs that outgrow serverless limits. Spot instances are commonly used for large PySpark or pandas processing jobs — engineers provision fleets via boto3, run the Python job, write results to S3, and terminate the instance automatically to minimize cost.