Docker, Compose, Caddy, SSH
A live process, a service ready for its critical path, and a service with every optional feature working are different facts. Putting them into one ready value can turn an optional model outage into a full restart, whil…
Observability answers incident questions; it is not a contest to store the most data. Collect Rate, Errors, and Duration by route template, then connect logs and asynchronous work with request context.
A running container may still lack a database connection, required tables, or an internal dependency. Liveness says the process is alive; readiness says it can receive user traffic.
Some ports need to be reachable from the internet, others should only be used inside the same host. The simplest tool to separate the two is the bind address. When a path that only outsiders can take is needed, an SSH t…
Some modern web features simply do not work over HTTP. Service Worker, WebAuthn, parts of the media APIs, and the Secure flag for Cookie SameSite=None are the cases. In production HTTPS is naturally there, but local dev…
Reverse proxy, HTTPS termination, and static file serving show up in nearly every web service. nginx has been the long-standing standard, and Caddy carved out its place by emphasizing automatic HTTPS and simple configur…
> The multi-emulator paths and commands below are an architectural example, not a claim about a particular repository. Select only the providers and cost envelope you actually need.
When running several containers on a single host (web, DB, cache, queue) Compose is the lightest path. One YAML file ties together dependencies, networks, volumes, and healthchecks. Not being a full orchestrator is both…
A container is an isolated user space that runs on top of the OS, letting the same application run anywhere with the same shape. Docker is the decisive moment that bundled containers into a standard tool and brought the…
When a service is in its early stage, it is often most reasonable to bring everything up on a single VPS with docker compose. Operational cognitive load is small and costs are predictable. How far this model goes, when…