DevOps Support
DevOps as a Service
Senior DevOps support without hiring a full platform team.
We help teams improve delivery workflows, automate infrastructure, clean up CI/CD pipelines, manage environments, and support production operations.
- CI/CD pipeline design and improvement.
- Infrastructure automation and environment management.
- Release reliability, containerization support, and developer workflow improvement.
- Operational documentation and ongoing DevOps support.
Best fit: teams that have product engineers but not enough DevOps or platform capacity.
Migration
Cloud Migration
Move legacy, VPS, self-hosted, or on-prem systems into a cleaner cloud operating model.
We help plan and execute migrations to AWS, GCP, Kubernetes, containers, or self-hosted cloud environments.
- Current infrastructure review and migration planning.
- Target cloud architecture and containerization strategy.
- Data, service, deployment, and rollback planning.
- Networking, monitoring, operational readiness, and post-migration support.
Best fit: teams that need to modernize without breaking production systems.
Operations
Cloud Management and CloudOps
Operate cloud infrastructure with better visibility, discipline, and reliability.
We help teams manage cloud environments after deployment, including monitoring, backups, alerts, cost visibility, and operational hygiene.
- AWS and GCP environment management.
- Monitoring, alerting, backup, and recovery checks.
- Cloud account cleanup, infrastructure review, and cost visibility.
- Incident readiness, operational runbooks, and monthly cloud support.
Best fit: teams that already run production systems in the cloud but need stronger operations.
Platform
Kubernetes and Platform Operations
Design, migrate, stabilize, and operate Kubernetes or containerized environments.
We help teams use Kubernetes where it makes sense, and simplify it where the complexity is unnecessary.
- Kubernetes architecture review, cluster setup, and operations.
- Workload migration, Helm-based deployments, and GitOps workflows.
- Ingress, networking, autoscaling, and observability setup.
- Platform reliability improvements.
Best fit: teams using or considering Kubernetes, but lacking dedicated platform engineering depth.