Docker fixes production code breaks

Short summary

Docker packages applications with their dependencies into portable containers, eliminating 'works on my machine' failures across environments. Docker Compose orchestrates multi-service data pipelines—like Airflow schedulers, PostgreSQL databases, and Spark workers—with a single configuration file. Key best practices: localhost refers to the container itself, use volume mounts to persist data, and optimize Dockerfile structure to speed builds and reduce rebuilds.

• •Docker packages apps with dependencies into portable containers, solving environment inconsistency issues
• •Docker Compose runs multi-service data pipelines (Airflow, PostgreSQL, Spark) with one command
• •Avoid common mistakes: localhost means the container, use volumes for persistence, optimize Dockerfile structure

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