Kubernetes & Container Orchestration
Designs hardens and operates Kubernetes clusters so containerized workloads get consistent scheduling scaling and networking across cloud and on-premise environments without becoming a full-time archaeology project.
Everything included under this practice line.
Cluster architecture across EKS AKS GKE or self-managed control planes
Multi-tenancy design with namespaces resource quotas and network policies
Ingress and service mesh setup covering traffic routing mTLS and observability
GitOps-driven deployment through Argo CD or Flux with environment promotion
Autoscaling at pod node and cluster level with sensible defaults for cost and headroom
Cluster upgrade and lifecycle strategy including add-on version management
Security baseline: pod security standards image signing admission control and secret handling
Observability stack for containers: metrics logs traces and cost per workload
The stack we reach for.
What the business gets, measured.
- Consistent runtime for applications regardless of cloud or region
- Better utilization of compute through bin packing and autoscaling
- Reduced blast radius during upgrades and node failures
- Faster onboarding for new services through shared cluster patterns
- Security controls enforced at admission instead of caught in audit
The specialists behind this practice line.
Kubernetes and container platform engineers own the cluster design and hardening with networking specialists pulled in for CNI and mesh choices and security engineers involved on admission control and image policy. Application teams engage on workload profiling so resource requests and limits reflect real behavior instead of copied defaults.
Compose several capabilities into one engagement.
Cloud Consulting & Migration (AWS, Azure, GCP)
We plan the target landing zone then move workloads across in waves so nothing goes dark. Lift-and-shift where it makes sense replatform where the payoff is real.
DevOps Consulting
We audit how your team ships today find the actual bottleneck and fix it. Usually it's not the tooling it's the handoff between dev and ops.
CI/CD Pipeline Automation
Pipelines that build test scan and deploy on every merge without a human in the loop. Same pipeline for every service so nobody has to relearn it.
Infrastructure as Code (Terraform)
Every resource in a repo reviewed like application code. No click-ops no drift and no server that only one person knows how to rebuild.
Platform Engineering
Internal developer platform so product teams ship services without filing tickets. Golden paths for the common cases escape hatches for the rest.
Site Reliability Engineering (SRE)
SLOs tied to what users actually feel error budgets that gate risky changes and on-call rotations that don't burn people out. Postmortems that fix causes not symptoms.
Cloud Cost Optimization
We find the money leaking on idle instances oversized nodes forgotten volumes and egress. Then we set guardrails so it doesn't creep back next quarter.
Disaster Recovery & Business Continuity
RTO and RPO targets you can actually meet backed by restores we test on a schedule. Backups nobody has restored are not backups.
Let's talk
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