Leaping to next generation technologies

  Complete, end-to-end architecture guide and production deployment strategy for deploying an LLM service to AWS ECS using a GitLab CI/CD Pipeline. Key LLM Production Considerations Model Cache Persistence (EFS): Download heavy weights (e.g., Llama-3, Qwen) to an AWS Elastic File System (EFS) mounted to /root/.cache/huggingface. This prevents re-downloading multi-gigabyte models on container restarts. GPU / Compute Launch Type: Use ECS EC2 Launch Type with GPU-enabled instances (e.g., g5.xlarge or g4dn.xlarge with NVIDIA A10G/T4) or Fargate (CPU-only / quantized lightweight models). vLLM / TensorRT-LLM Engine: Use high-throughput inference engines like vLLM wrapped inside a FastAPI application for OpenAI-compatible endpoint serving. complete, single-block solution containing the Dockerfile, vLLM/FastAPI App Server, AWS ECS Task Definition Template, and the complete .gitlab-ci.yml Pipeline. # ============================================================================== # SECTION ...

  Server Health & Storage Management: Automated Cleanup, Disk Offloading, and MySQL Backups When running high-traffic web applications, database services, and build environments, server disks can rapidly fill up due to log aggregation, build caches, and upload directories. Reaching 100% disk usage on the root partition (/) often results in service crashes, database corruption, and deployment failures. This guide details a multi-tiered strategy for managing server storage using secondary disks, directory symlinking, log truncation, and scheduled database backups. Key Architecture Strategies Offloading Storage via Symlinks Instead of reconfiguring internal application paths, heavy folders (such as file upload directories, media storage, or virtual environments) can be moved to an external or secondary mount point (e.g., /data). By creating a symbolic link (ln -s) from the original directory path pointing to the secondary disk, applications continue reading and writing seamlessl...