No. The audit is completely non-invasive. We perform the check on a running environment using strict read-only access, ensuring zero downtime for your users.
Kubernetes is frequently over-provisioned. By identifying the gap between requested and used resources, and utilizing Spot Instances, we often see compute cost reductions of 40-60%.
Our focus is on the containerization and orchestration layer (Infrastructure), not business logic. However, we can include code review if requested as part of a broader App Modernization scope.
Yes. While we have an Advanced Specialization in Azure (AKS), our engineers are CNCF-certified and apply universal Kubernetes best practices applicable to any distribution or cloud.
While Azure Advisor provides high-level suggestions, our Health Check is a deep-dive forensic examination. We utilize specialized industry-standard tools like Polaris, Popeye, and Trivy to analyze granular configurations that Azure Advisor often misses—such as specific container security contexts, CNI vs. Kubenet network model impacts, and "slack" in resource requests that drives up costs.
Yes. The primary deliverable is a Technical Health Report containing specific YAML snippets to fix configuration errors immediately. However, if your team needs hands-on assistance applying these fixes, we can discuss an engagement to implement the Roadmap or assist with App Modernization.
We are designed to be fast and non-invasive. Since we use automated scanning tools combined with expert review, we can usually deliver your Technical Health Report and Cost Optimization Plan within a short timeframe, minimizing the delay between diagnosis and stability.
Yes. We specifically analyze storage performance to identify storage class misconfigurations. A common issue we find is workloads utilizing expensive Premium SSDs for simple log storage, which inflates costs without providing necessary value.
Absolutely. Our security analysis aligns your cluster with CNCF best practices. We review Image Vulnerabilities (ACR), Network Policies, and RBAC integration. These are fundamental controls required for major compliance frameworks, ensuring you aren't running containers as root or exposing your API server.
Our analysis targets the "Works on My Machine" syndrome, where pushed configurations fail under load. We review the actual running state of the cluster (Control and Data Plane) to ensure that what is defined in your IaC matches the reality of the production environment, helping you reconcile drift.
