DevOps as a Service · Buenos Aires, Argentina · US Eastern hours · SLA 99.99%
The foundation everything else runs on: Kubernetes, CI/CD, infrastructure as code, monitoring and 24/7 on-call. Take it on its own, or as the layer underneath your private AI infrastructure.
§01 / Ongoing
The main way we work: we monitor, maintain and evolve your infrastructure continuously, so your engineers can stay on the product.
Ideal for: 1–3 services, <100K users/mo
Discuss your project →Ideal for: 3–10 services, 100K–1M users/mo
Discuss your project →Ideal for: 10+ services, 1M+ users/mo, regulated industries
Discuss your project →Book a 30-minute call — we'll go through your infrastructure, team size and support needs, and recommend the right option.
Book a call →§02 / Where to start
An expert read of what you have today: bottlenecks, risks and a prioritised plan of work. If GPU spend is the problem rather than reliability, take the GPU & AI readiness audit instead.
The final price depends on how complex the infrastructure is (number of services, environments, integrations).
// Continue into implementation and the audit fee counts toward the project
→Teams planning an infrastructure modernisation
→Companies heading into a deal, audit or partner review
→Companies hitting reliability or scaling problems
→Engineering leaders who need an outside opinion
§03 / One-off project
If ongoing support isn't what you need yet — we'll build the infrastructure as a one-off project in 2–7 days: Kubernetes, CI/CD, monitoring, security and documentation. Fixed scope, fixed price.
Self-hosted inference, GPU cost control and vector databases are covered by our private AI infrastructure offer — this DevOps layer is what it sits on.
Private AI infrastructure →If your infrastructure is already in place and you only need someone on call, the L1–L3 support plans are the same tiers, described from the support angle.
24/7 support →