Reliability you can put a number on.
“More reliable” is not a target. 99.95% with an agreed error budget is. We build the delivery and operations discipline that gets you there and keeps you there.
We take delivery pipelines and production operations from artisanal to industrial: CI/CD that ships every merge, observability that answers questions instead of storing data, SLOs that turn reliability arguments into budget decisions, and incident practice that makes the third outage cheaper than the first.
- 01 CI/CD pipeline engineering (GitHub Actions)
- 02 GitOps delivery with ArgoCD
- 03 Observability: metrics, traces, logs that correlate
- 04 SLOs, error budgets, and alerting that respects sleep
- 05 Incident response process and post-incident review
- 06 On-call design and toil reduction
- 07 Release engineering: canaries, feature flags, rollback
- 08 Production-readiness reviews
Discover
We measure your four key metrics — lead time, deploy frequency, change failure rate, time to restore — and your real availability, not the dashboard one.
Build
Pipelines, dashboards, and SLOs land service by service. Each team keeps shipping while its path to production gets shorter underneath it.
Run
We run the first incident reviews with you, coach the on-call rota, and leave when reliability is a habit rather than a project.
Is this a tooling project or a culture project?
Both, in that order. Tooling first because it changes behaviour fastest: when deploys take 4 minutes, people deploy differently. The habits — SLO reviews, blameless post-incident analysis — build on top of working tools.
How long until we see results?
The first service typically has a full pipeline, dashboards, and an SLO inside 4–6 weeks. Organisation-wide change is a 2–3 quarter programme depending on service count.
Do you take over our on-call?
No — outsourced on-call removes the feedback loop that makes systems better. We design the rota, cut the noise, and sit in with your engineers until the pager is quiet enough to hold.
We already have dashboards. Why are incidents still hard?
Dashboards store data; observability answers questions. The usual gap is correlation — metrics, traces, and logs that cannot be joined during an incident. We fix the joins, not the chart count.
Who owns the configuration and runbooks?
You do, in your repositories, from day one. We work in your tooling accounts — nothing routes through infrastructure we control.