Cloud & DevOps Consulting Services for US & EU Teams

Pricing is fixed-scope and all-in, quoted in USD. An infrastructure audit runs from $700; a turnkey CI/CD and cloud implementation from $1,800; managed DevOps from $1,100 per month; and a dedicated DevOps engineer via staff augmentation from $100 per hour. The exact number depends on estate size, the migration and refactor mix, compliance scope and how long you keep the managed retainer. You see the line-item budget at the end of discovery and sign off before any work starts. There is no recruitment markup, no tool surcharges, and cloud fees run on your own accounts so you keep the cost lever.

We pick by workload, region availability (EU and US), existing skills and total cost of ownership over three years. EU SaaS typically land on AWS Frankfurt or Azure West Europe; US workloads land on AWS us-east-1/us-west-2 or Azure East US; data-heavy ML often goes GCP. We will not push a preferred logo.

A lift-and-shift of a mid-size SaaS lands in three to four months. A re-platform onto Kubernetes with rebuilt CI/CD, observability and IaC usually takes six to nine months including a parallel-run period.

Yes. A FinOps audit takes two to three weeks and typically uncovers 20 to 40 percent of waste through right-sizing, savings plans, storage tiering and idle workload retirement. We share the playbook so savings stick.

No. Kubernetes is great when you need multi-team isolation, complex networking or polyglot workloads. For smaller estates, ECS, App Service, Cloud Run or even managed PaaS stay cheaper and simpler. We recommend the smallest tool that fits.

We default to EU regions for EU clients (GDPR + data residency, EU-only KMS keys, EU support contracts, EU CDN edges); we deploy to US regions with US-only KMS keys for US clients (SOC 2 + CCPA + HIPAA where required), with US-resident support and US CDN edges. Where cross-Atlantic services are unavoidable, we apply DPF, SCCs and data-minimization patterns and document the decision. For a full vetting checklist and EU rate ranges, see our guide to choosing European DevOps consultants.

GitOps treats your Git repository as the single source of truth for infrastructure and application state: a push to main triggers a reconciliation loop (Argo CD or Flux) that brings the cluster in line with the declared state in the repo. The benefits are full auditability of every change, instant rollback via a git revert, and drift detection that alerts when someone applies a manual kubectl patch. We recommend GitOps for teams running Kubernetes who want strong change governance without a heavyweight ITSM process. For smaller estates on ECS or App Service, a conventional CI/CD push model is usually simpler and sufficient.

The technique depends on the architecture. For stateless services we use rolling updates with a configurable surge and max-unavailable, or blue-green deployments where the load balancer swaps targets after a smoke-test gate. Canary releases, managed by Argo Rollouts or a feature-flag layer, direct a small percentage of traffic to the new version and auto-rollback on error-rate breach. Database schema changes are the hardest part: we apply expand-contract migration patterns so old and new code both work against the schema during the transition window, removing the need for a maintenance page.

Our managed retainer includes a 99.9 percent platform uptime SLO (measured at the load-balancer health check, not the cloud provider's status page), a 15-minute SLA for P1 incident acknowledgement, and a four-hour SLA for P1 resolution. P2 incidents (service degraded, not down) are acknowledged within one hour and resolved within 24 hours. SLOs are reviewed quarterly and adjusted to match your product's actual reliability needs; we do not sell a blanket "five nines" figure without first understanding your traffic and failure modes.

Yes, and this is one of the most common engagement shapes. We typically augment an internal team in one of three ways: platform build (we design and implement the platform layer while your team owns application pipelines), specialist capability (we bring Kubernetes, FinOps or security depth that your team does not have in-house), or capacity extension (we carry on-call rotation to extend coverage to 24/7 without burning your engineers). In all cases we work in your Jira, your Slack and your runbooks, and we document everything so knowledge stays with your team.

We start with a business impact analysis: what does one hour of downtime cost versus what does it cost to achieve one-hour RTO? That calculation usually reveals that most small SaaS products need a warm-standby strategy (RTO 30–60 min, RPO 5–15 min) rather than an active-active multi-region setup, which costs three to five times more to run. We document recovery procedures, test them quarterly with game-day exercises, and measure actual RTO against target rather than assuming the runbook works. For regulated workloads (financial, health) we align DR test cadence and evidence to the framework requirement — SOC 2 A1.3, HIPAA contingency plan — so tests double as audit evidence.