# Smart Video Analysis Event-processing microservices for video analysis events over Kafka and PostgreSQL, deployed with Docker, Terraform and GitHub Actions. > Canonical URL: https://sudohulk.com/projects/smart-video-analysis > Status: paused > Tags: kafka, postgresql, docker, terraform, github actions > Author: Vignesh Kumar A > Licence: CC BY 4.0. Quote freely, cite the canonical URL. --- ## What it does Takes a stream of events emitted by a video-analysis pipeline, processes them through a small set of Kafka consumers, and stores the results in PostgreSQL for querying. ## Why I built it To practise the full loop I only saw parts of at work: infrastructure as code, a CI/CD pipeline that tests and deploys on every push, dashboards for the running system. Nothing about it is novel; the point was owning every layer. ## How it works Producers publish analysis events to Kafka. Consumer services, one per concern, write to PostgreSQL. Terraform provisions the containers and networking; GitHub Actions runs tests and redeploys. In a local benchmark the consumers kept up with roughly a thousand events per second, which was enough to find the first real bottleneck (batching writes). ## Status and what's next Paused. The code is not public yet; I want to strip the credentials handling and add the benchmark script before it is.