Cloud, MLOps & DevOps
AWS, GCP, and Digital Ocean infrastructure with CI/CD, model deployment pipelines, and monitoring baked in — so releases are boring and uptime is high.
What's included
Cloud architecture
Right-sized infrastructure — no over-engineering, no surprise bills.
CI/CD pipelines
Every commit tested and deployable; releases become a non-event.
Containerization
Docker-based environments that run the same everywhere.
Monitoring & security
Alerts, backups, and security hardening before you need them.
Stack we use
Good fit if you're
Deploying by hand and paying for it in downtime.
Facing a cloud bill that grew faster than the product.
Needing SOC 2-ready practices for enterprise deals.
Use cases we deliver
Cloud architecture & migration
Right-sized AWS, GCP, or Digital Ocean setups; monolith-to-containers migrations.
CI/CD pipelines
Automated testing, security scanning, staged deploys for web, mobile, and AI.
Model deployment & MLOps
Serving, versioning, and monitoring for LLM and ML workloads.
Observability
Logs, traces, metrics, alerts, and cost attribution per feature and tenant.
Security hardening
IAM, secrets, network policies, backups, and compliance-aligned controls.
Cost optimisation
Autoscaling, spot, scheduling, caching, and model routing.
How the engagement runs
What you receive
- Architecture and security assessment
- Terraform/Pulumi infrastructure as code
- CI/CD pipelines with tests and scans
- Monitoring, alerting, and cost dashboards
- Backup, recovery, and incident runbooks
- Documentation and handover
Frequently asked questions
Do we need Kubernetes?
Usually not at first. Managed containers (Cloud Run, ECS Fargate) cover most needs with far less overhead; we scale to Kubernetes when justified.
Which cloud is best for us?
GCP for BigQuery-centric data work, AWS for breadth and enterprise needs, Digital Ocean for cost-sensitive simple workloads. We're neutral.
Can you reduce our cloud bill?
Typically 20–40% through right-sizing, scheduling, spot instances, caching, and model routing for AI workloads.
Do you offer ongoing DevOps support?
Yes — managed DevOps and AI-ops retainers with monitoring, cost reviews, and 24/7 incident response.
Is the infrastructure ours?
Everything is built in your cloud account with infrastructure as code — you own and control it.
Want deployments you don't dread?
Reply within one business day with a tailored proposal.
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