Platform engineering
Kubernetes & Containers
Production-ready Kubernetes environments for scalable and resilient workloads.
Discuss your projectWhat we deliver
- Kubernetes cluster setup
- Container orchestration
- CI/CD integration
- Monitoring, scaling & hardening
How we approach the work
We start with workload, security and availability requirements, then design the architecture, automate delivery and establish observable day-to-day operations.
Illustrative delivery scenario
Migration to a production Kubernetes platform
This is a representative project pattern, not a claim about a specific client or completed engagement.
Typical challenge
A team has containerized applications but lacks predictable deployments, controlled rollbacks and a consistent operating model.
Delivery approach
Design cluster boundaries, automate delivery, define resource and security policies, and add workload-level observability before migration.
Acceptance checks
- Deployment and rollback test
- Worker-node failure simulation
- Autoscaling verification
- Access and network policy review
How outcomes are verified
Targets are agreed before implementation and supported by reproducible measurements rather than marketing estimates.
- Availability
- Measured by agreed external probes over a defined reporting window, with maintenance and exclusions documented.
- Incident response
- Calculated from monitoring or ticket timestamps between detection and acknowledgement.
- Recovery
- RTO and RPO are checked through scheduled restore and failover exercises.
- Performance
- Latency, throughput and resource utilization are recorded under an agreed representative workload.