We package your applications into containers and configure Kubernetes environments to manage and scale them automatically with load. Monitoring and self-healing controls raise service availability and reduce downtime. This architecture gives you elastic resource usage and smooth portability across different cloud environments.
What's included
- Kubernetes cluster design: nodes, namespaces, scheduling policies, and environment isolation
- Containerizing applications and versioning them via Helm and reusable charts
- Horizontal and vertical autoscaling with resource management, limits, and requests
- A service mesh for traffic management, mutual TLS, and inter-service observability
- Secrets and configuration management, network policies, and role-based access control (RBAC)
- Container security: image scanning, signing, and runtime hardening against reference baselines
Methodology & standards
Assess workloads and requirements, then design cluster topology and resource boundaries
Package services into optimized containers and build modular Helm charts for deployment
Establish security: RBAC, network policies, secrets management, and pre-deployment image scanning
Enable autoscaling, the service mesh, and full observability of the cluster and workloads
Hand over with a runbook and chaos tests confirming self-healing behavior
Deliverables
- A configured, documented Kubernetes cluster across environments with clear isolation
- Modular Helm charts and optimized, scanned container images
- Documented RBAC, network, and secrets-management policies
- Service-mesh configuration with mutual TLS and observability dashboards
- An autoscaling setup with documented load tests
- A runbook and a security-hardening report against CIS benchmarks for containers and the cluster
Regulatory controls it satisfies
Typical timeline
Standing up a Kubernetes container platform typically takes 5 to 10 weeks depending on workload count, scaling and security requirements, and environment count.
Common questions
Do we really need Kubernetes, or are containers alone enough?
We advise based on workload scale and resilience needs: Kubernetes earns its complexity when services multiply and require autoscaling and self-healing; otherwise simpler orchestration may suffice.
How do you secure the cluster?
Through layered controls: image scanning and signing, RBAC and least privilege, network policies that isolate workloads, encrypted secrets management, and CIS-based hardening with continuous runtime monitoring.
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