Go microservices on Kubernetes
Microservices, queues and monitoring — with a pipeline that cut deploy time by 70%.
An inventory platform built as Go microservices running on Kubernetes, backed by Redis for caching and RabbitMQ for asynchronous work.
The operational layer got equal weight: Prometheus and Grafana for monitoring, and a GitHub Actions CI/CD pipeline that reduced deploy time by 70%.
Splitting a system into services multiplies the number of things that can fail silently. Without monitoring in place from the start, a distributed system is harder to operate than the monolith it replaced.
Slow deploys discourage small changes, which is how large risky ones accumulate.
Services are written in Go and orchestrated on Kubernetes, so each scales on its own resource profile rather than the whole system scaling together.
Redis absorbs read-heavy traffic and RabbitMQ moves slow work off the request path, keeping the synchronous surface fast.
Prometheus metrics and Grafana dashboards were built alongside the services, not retrofitted after the first outage.
A GitHub Actions CI/CD pipeline cut deploy time by 70%, making small and frequent releases the path of least resistance.
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