environment: staging: cloud: gcp service: cloud-run region: us-central1 memory: 512Mi production: cloud: aws service: ecs cluster: main task_memory: 1024 Then, a single command promotes the build across environments:
cldeploy promote --from staging --to production cldeploy fits into the larger trend of platform engineering — where internal tooling abstracts cloud complexity. It doesn’t replace infrastructure-as-code (Terraform, Pulumi) but works alongside it, focusing on the deploy loop rather than initial provisioning. cldeploy
In modern DevOps workflows, deployment often means juggling multiple tools—Docker, kubectl, Terraform, and CI configuration files. Enter cldeploy : a hypothetical but archetypal CLI tool designed to reduce friction between local development and cloud infrastructure. What cldeploy Does At its core, cldeploy automates the repetitive steps of getting code running on a target environment. A typical cldeploy workflow might look like: Enter cldeploy : a hypothetical but archetypal CLI