Platforms are products, and engineers are the users
A platform nobody wants to use gets routed around, and the routing-around is where outages come from. So we build platforms the way we build products: the golden path is the easy path, the defaults are safe, and the escape hatches are documented rather than hidden.
Delivery: from commit to production
Every change moves through the same declarative path. Git is the source of truth; the cluster reconciles towards it; nobody applies anything by hand. That gives you a reviewable history of every production change and a rollback that is a revert rather than an archaeology project.
- Reproducible builds — pinned dependencies, containerised toolchains, and artefacts that are identical whether they were built in CI or on a laptop.
- Provenance — SBOMs generated at build time, artefacts signed, and admission policy that refuses anything unsigned.
- Progressive rollout — canary or blue/green with automated analysis against real SLIs, and an abort that fires without a human in the loop.
- Environment parity — the same manifests across environments, differing only in explicitly declared values.
Observability that answers questions
Dashboards full of green graphs are not observability; they are decoration. The test is whether an engineer can answer a question they did not anticipate.
We instrument with OpenTelemetry so that traces, metrics and logs share correlation identifiers, and structure telemetry around user-visible outcomes: service level indicators first, resource utilisation second. Alerts are tied to error-budget burn rate, not to CPU percentages — which means the pager fires when customers are affected and stays quiet when they are not.
Reliability as a practice, not a title
Reliability comes from a small number of habits applied consistently:
Define the objective. An SLO that nobody agreed to is a number on a wiki. We define availability and latency objectives with the people who own the business outcome, and we make the error budget a real input to release decisions.
Rehearse the failure. Backups that have never been restored are not backups. Disaster recovery gets exercised, RTO and RPO get measured against the exercise, and the runbook gets corrected by the person who just followed it.
Learn without blame. Postmortems examine the system that allowed the error, not the engineer who made it. The output is a change to the system — a guardrail, a test, a default — not a reminder to be more careful.
Running it on your own metal
Not everything belongs in a hyperscaler. Where cost, latency, data residency or plain sovereignty argue for self-hosting, we design for it properly: capacity and failure-domain planning, network and storage layout, backup and restore, patching strategy, and the observability to run it without a support contract to hide behind.
Cloud-native practices and owned hardware are not in conflict. Applied together they produce infrastructure that is both modern and genuinely yours.