Consulting services

B2B offers for Kubernetes, Azure and OpenShift platform teams.

From assessment to implementation, I help teams improve reliability, cost transparency, governance, sovereignty readiness, intelligent operations and developer delivery flow.

1. Kubernetes / AKS / OpenShift Platform Assessment

A structured review of your current Kubernetes, AKS or OpenShift platform to identify operational risks, cost drivers, security gaps and improvement opportunities.

Typical scope

  • Cluster architecture, topology, node pools, projects/namespaces and scaling model
  • Networking, ingress, load balancing, service exposure and network policies
  • RBAC, secrets, policy controls, quotas and cluster security posture
  • GitOps, CI/CD, Helm standards and release process
  • Monitoring, logging, alerting, backup and recovery setup
  • Cost drivers, capacity waste and quick wins for optimization

Deliverables

Assessment report, prioritized roadmap, quick wins, risk overview and recommended target architecture.

2. FinOps & Platform Cost Optimization

For companies that need transparency and control over cloud and Kubernetes platform costs across subscriptions, clusters, teams, namespaces and cost centers.

Typical scope

  • Azure Cost Management, budgets, alerts, exports and forecasting
  • Tagging, labeling and ownership models for cost allocation
  • Rightsizing for AKS, VMs, storage, networking, logging and Kubernetes capacity
  • Analysis of Log Analytics, Defender, Policy and AI-related cost drivers
  • Showback / chargeback concepts for business units and platform users
  • Power BI / Excel-based reporting and management-ready decision support

Deliverables

Cost baseline, optimization backlog, savings opportunities, reporting structure and FinOps operating recommendations.

3. Cloud & Kubernetes Governance

Design and implementation support for scalable cloud and platform foundations that are secure, auditable and ready for enterprise growth.

Typical scope

  • Azure management groups, subscriptions and resource group structure
  • RBAC, least privilege, identity, namespace/project and role concepts
  • Azure Policy, Kubernetes admission controls, guardrails and resource locks
  • Tagging, labels, quotas, budget governance and cost allocation standards
  • Network foundations, hub-spoke patterns, security boundaries and auditability
  • Terraform / Bicep modules and policy-as-code for repeatable governance

Deliverables

Governance model, landing zone blueprint, policy baseline, RBAC model and implementation roadmap.

4. Kubernetes Platform Engineering & GitOps

Build or improve internal Kubernetes platforms that help development teams deploy faster without sacrificing reliability, security, governance or cost control.

Typical scope

  • AKS, Kubernetes and OpenShift platform architecture and reusable standards
  • Argo CD, Helm, GitOps workflows and environment promotion
  • CI/CD integration with Azure DevOps, GitHub Actions or GitLab
  • Observability stack with Prometheus, Grafana, ELK and Azure Monitor
  • Secrets management, backup, recovery and operational runbooks
  • Developer enablement, documentation and platform onboarding

Deliverables

Target architecture, implementation support, reusable templates, operating standards and knowledge transfer.

5. Sovereign Kubernetes & OpenShift Platforms

For regulated organizations that need hybrid, on-premises or restricted platform patterns to keep stronger control over workloads, data flows and operations.

Typical scope

  • Hybrid and on-prem Kubernetes/OpenShift platform architecture
  • Private registries, image governance and controlled software supply chains
  • Disconnected or restricted environment concepts and operational constraints
  • Backup, recovery, secrets management, audit logs and compliance evidence
  • Policy enforcement, RBAC, quotas, network policies and platform hardening
  • Operating model for regulated teams, platform ownership and lifecycle management

Deliverables

Sovereign platform target architecture, control model, implementation roadmap and operational governance recommendations.

6. AIOps & Intelligent Cloud Operations

Improve operational visibility and reduce alert fatigue by combining observability, automation and AI-assisted analysis across Azure, Kubernetes and OpenShift environments.

Typical scope

  • Alert review, noise reduction and prioritization models
  • Anomaly detection concepts for costs, logs, metrics and platform behavior
  • Correlation of Azure Monitor, Log Analytics, Prometheus, Grafana and ELK signals
  • Cost anomaly analysis for AKS, logging, compute, storage and AI workloads
  • Incident insights, operational dashboards and management reporting
  • Automation opportunities for recurring operational tasks and runbooks

Deliverables

AIOps readiness review, alert optimization backlog, anomaly detection recommendations, dashboard concepts and automation roadmap.

Engagement models

How we can work together.

1

Assessment

Short, focused analysis to identify risks, cost drivers, governance gaps, sovereignty constraints, operational noise and quick wins.

2

Implementation

Hands-on delivery of Azure, AKS, OpenShift, GitOps, IaC, observability, AIOps, governance and FinOps improvements.

3

Advisory

Ongoing support for CTOs, cloud teams and platform teams that need senior architecture guidance.

Not sure which offer fits?

Start with a platform assessment. It creates clarity before investing in implementation.

Discuss Your Platform