Cloud-native engineering
Operations is not handoff.
Calvrix runs Kubernetes (AKS / EKS), Terraform, and CI/CD for enterprises: owning posture, observability, and cost. Cloud-native platform engineering with full team ownership, multi-cloud where the business stage genuinely needs it.
Operating standards
What hands-on operations actually means.
No deploy without review.
Pipelines, environment parity, reviewed merges, provable rollback. The system always knows what is in production.
Observability before launch.
If you cannot see the platform behave, you cannot operate it. Built before launch, not retrofitted after the first incident.
Cost as a first-class signal.
Attribution per workload, per environment, per customer. Cost surprises are operational failures.
Posture as a baseline.
IAM, secrets, network, dependencies. Audit-ready by default, not by sprint.
How engagement works
A four-week platform assessment. Then operations or scoped build: your choice, signed off in writing.
A cloud-native engagement starts with a four-week platform assessment: current Kubernetes posture, IaC quality, observability coverage, security posture, cost trajectory. Output: a written assessment of where the platform is, where it should be, and the work in between, with the customer choosing build, operate, or both.
- Assessment phase. Four weeks. Posture audit, IaC review, observability inventory, security baseline, cost attribution. We will tell you what is healthy and what is not, with the evidence behind each call.
- Build engagements. Scoped outcomes: a new cluster brought to production-grade, a multi-cloud migration, an IDP rolled out to a team, with milestones, success criteria, and a signed-off rollback plan per phase.
- Ongoing operations. Senior retainer for platforms we operate after build. On-call rotation matched to the customer time zone, with attributable cost per workload and a defined FinOps review cadence.
- What we will not do. Resell capacity. Multi-cloud for its own sake when single-cloud is the right answer. Operations on platforms that lack the observability to be operated honestly.
// start the conversation · [email protected]
Frequently asked
What buyers ask about cloud-native engineering.
Cloud-native means everything and nothing. What do you actually run?
Containerised workloads on Kubernetes (AKS / EKS), declared in code (Terraform), shipped through automated CI/CD (GitHub Actions), with observability and cost control as first-class concerns. Multi-cloud only where the business stage genuinely needs it; otherwise the simplest viable substrate.
You will steer us toward whichever cloud you know best. How do you pick?
We run AKS and EKS in production today. The choice follows the customer business: AKS where the platform leans Microsoft-stack and the team already operates in Azure; EKS where the workload is AWS-native. We do not pick the cloud; we pick the substrate that the workload should live on.
Kubernetes costs got away from us last time. How do you stop that happening again?
Right-sizing requests/limits to actual observed usage, horizontal autoscaling tied to genuine demand signals, spot/preemptible nodes for non-critical workloads, and a kept FinOps review on a defined cadence. We will not optimise for cost at the expense of correctness, but we will not let unused capacity quietly compound either.
The board wants multi-cloud. Can you deliver it?
Where the business stage requires it (regulatory, resilience, cost arbitrage on workloads with clear shape): yes. Multi-cloud is not a default; it is a deliberate decision with an explicit operating cost. We will tell you if you do not actually need it.
We already have dashboards. What would you actually add?
OpenTelemetry as the instrumentation contract, with the back-end chosen per engagement (Azure Monitor, Datadog, Grafana stack: all in production today). Every prod path covered, every service emitting traces with the same conventions. Observability before launch is policy, not optional.
We do not want to depend on you after go-live. Do you hand it over?
Whichever the engagement asks for. The default at Calvrix is full team ownership: we build to be handed over with documented runbooks, ADRs, and post-incident review records, ongoing operation is available where an engagement asks for it. Where that work involves personal data, a data processing agreement is signed before it starts.