Provisioning Automation for Agriculture Data Processing Infrastructure

Added Jun 2025 3 design docs

Modern agriculture runs on data — sensor readings, imagery, yield records — and the platforms that process it need infrastructure that can be rebuilt, scaled, and modified without anyone hand-configuring a server. This project brings full infrastructure automation to an agriculture data processing stack. The intern uses Terraform to define and provision the processing infrastructure as code — compute, networking, and storage expressed declaratively so environments can be created or destroyed on demand. Ansible playbooks then configure the provisioned machines, installing dependencies and enforcing consistent state, so no server is ever a one-off. Application deployment is automated through Jenkins pipelines, and the data processing workloads themselves are containerized with Docker, making them portable across environments and simple to upgrade. The intern documents the full flow so a teammate could rebuild the entire platform from the repository alone. The project teaches the provisioning-and-configuration layer of DevOps that underpins everything else: idempotent automation, infrastructure versioning, and pipeline-driven deployment — skills that transfer to any sector while giving the intern a distinctive agriculture technology story to tell.

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