Reliability
A service that is usually up is a service nobody trusts. Predictable behaviour under failure matters more than peak performance.
Altair Lab is a small independent technical workspace focused on infrastructure, networking and software experimentation.
The lab exists to answer practical questions with running systems rather than theory: how a service behaves when its upstream is slow, what a routing change looks like from the outside, how much monitoring is enough before it becomes noise.
Everything here is built and maintained by hand, at a scale small enough to understand completely. That constraint is deliberate — a system you can hold in your head is a system you can debug at three in the morning.
Work is organised around four areas: Linux systems and services, network behaviour, web infrastructure at the edge, and the automation that keeps the first three from needing constant attention.
Five ideas that decide most technical arguments before they start.
A service that is usually up is a service nobody trusts. Predictable behaviour under failure matters more than peak performance.
Fewer moving parts, fewer surprises. Every added component has to justify the operational cost it brings with it.
If a change cannot be measured, it cannot be verified. Services are expected to describe their own health.
Anything done twice by hand becomes a script; anything done on a schedule becomes a unit with logs and a last-run time.
HTTP, DNS, TLS and plain text formats. Standard interfaces keep tools replaceable and knowledge portable.
Notes are written while the context is fresh, so the reasoning survives longer than the configuration file does.
A single server, a handful of services and the first attempts at repeatable setup. Most of the early work was learning what breaks when nothing is documented.
Health checks, scheduled maintenance and log collection moved from ad-hoc scripts into proper units with their own history and alerting.
The separate pieces became one platform with a shared edge, a common check schedule, a public status page and notes published alongside the work.