Cloud Solutions & DevOps
Cloud architecture, automated pipelines, and observability that let your team deploy on Tuesday afternoon without holding their breath.
Cloud architecture, automated pipelines, and observability that let your team deploy on Tuesday afternoon without holding their breath.
Manual deploys fail. Untracked servers rot. Bills climb while nobody knows which service burned the budget.
We build cloud foundations and DevOps workflows around how your product actually runs — traffic spikes, data residency rules, on-call rotations, and the two engineers who maintain everything after we leave. Pipelines catch regressions before users do. Dashboards surface the metric that matters, not fifty charts nobody opens. Infrastructure lives in version control beside your application code, so staging matches production and rollbacks take minutes.
We scope each engagement to where your infrastructure hurts most — migration, pipelines, observability, or all three in sequence.
Landing-zone design, network segmentation, and a phased migration plan that keeps production online while workloads move.
Build, test, and deploy automation with approval gates, artifact signing, and rollback hooks wired into every release.
Terraform, Pulumi, or CloudFormation modules versioned in Git — reproducible environments from dev through production.
Docker images hardened for production, plus Kubernetes or managed container services configured for autoscaling and zero-downtime deploys.
Structured logs, RED metrics, distributed tracing, and alert routing tuned so pages wake the right person — not the whole company.
Right-sizing, reserved capacity analysis, idle resource cleanup, and monthly spend reports tied to product teams.
No surprise re-architecture halfway through. Each phase ends with something your team can run without us in the room.
We inventory servers, pipelines, secrets, and monthly spend. You get a risk report with the three changes that buy the most reliability per euro.
Architecture diagrams, environment layout, and IaC structure reviewed with your leads. Decisions documented so the next hire understands why.
Pipelines go live in staging first. Workloads shift in waves with rollback scripts tested before traffic moves. Downtime windows agreed in writing.
Runbooks, on-call playbooks, dashboard walkthrough, and a paired session where your engineer deploys while we watch. Then we step back.
We have cleaned up after all three. Naming them early keeps your budget on product work.
Moving a monolith to the cloud unchanged doubles the bill and keeps the same deploy pain. We identify what to containerize, what to retire, and what to rebuild before migration day.
Console changes drift. Nobody can recreate staging. We codify every environment so a pull request is the only path to production change.
Fifty noisy pages train teams to ignore Slack. We define SLOs, tune thresholds, and route alerts to owners who can fix the root cause — not a mailing list.