Bloated 2GB Docker images slow down CI/CD builds, delay Kubernetes/Cloud Run autoscaling cold starts, and ship unnecessary OS packages with known CVEs into production. Meanwhile, microservices teams struggle to run AWS DynamoDB, SQS, and S3 offline on developer laptops.

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About the Author — Hire Freelance Programmer Aldian Fazrihady

Aldian Fazrihady is a Top-Rated Senior Freelance Programmer, Freelance Full Stack Developer, and AI Application Engineer with 15+ years of production software engineering experience and Google Cloud Professional Cloud Architect & Data Engineer certifications. He specializes in building custom LLM & autonomous AI agents, RAG pipelines, Next.js/React PWAs, Python (Django/FastAPI), Go microservices, and serverless cloud infrastructure on Google Cloud Run and AWS.

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