AKS Health Check: Performance, stability, and security for mission-critical clusters
Subheadline: A deep-dive forensic analysis of your Azure Kubernetes Service. Eliminate crashes, cut cloud costs by up to 60%, and align with CNCF security best practices.
Is your cluster showing these symptoms?
If your team is spending more time fighting fires than shipping features, your cluster is likely suffering from technical debt. We diagnose and cure:
Instability & deployment failures
Are you battling constant OOMKilled restarts or CrashLoopBackOff errors immediately after a deployment?
The "Black Hole" of costs
Are you paying for premium nodes that sit at 15% utilization? We often find that a lack of proper requests/limits is burning your budget unnecessarily.
Security blind spots
Are your containers running as root? Is your API server inadvertently exposed? Default AKS configurations are rarely secure enough for production standards.
The "It works locally" trap
Configurations that work on a developer’s laptop often crumble under production load due to missing resource constraints.
Observability gaps
When downtime strikes, do you see the root cause instantly, or do you waste hours digging through raw logs?
We don’t just look at the dashboard; we perform a forensic examination of both the Control Plane and Data Plane.
Infrastructure & Architecture
Configuration Audit:
We review AKS versioning strategies and Network Models (CNI vs. Kubenet) to ensure optimal throughput.Node Pool Optimization:
We identify “slack” resources and opportunities to implement Spot Instances for non-critical workloads to drive down costs.Storage Efficiency:
Detection of storage class misconfigurations (e.g., paying for Premium SSDs for simple log storage) that inflate bills without performance gains.
Security & Compliance (CNCF Standards)
Vulnerability Scanning:
Full image scanning via Azure Container Registry (ACR) and integration with tools like Trivy.Hardening:
Verification of Network Policies, RBAC integration, and Pod Security Context analysis to prevent privilege escalation.
Observability & Reliability
Health Probes:
Verification of Liveness and Readiness probes to ensure traffic is only sent to healthy pods.Monitoring Stack:
Assessment of your integration with Azure Monitor or Prometheus to ensure you have visibility when it matters most.
The toolchain
We utilize industry-standard, open-source scanning tools for an objective assessment, combined with manual expert review:
01
Polaris
For validation of best practices.
02
Popeye
For live cluster sanitization and resource metrics.
03
Trivy
For comprehensive vulnerability scanning.
Deliverables: what you get
We don’t just give you a list of problems; we provide a roadmap to fix them.
Deliverable
What It Contains
Value to Business
Technical Health Report
Detailed findings with copy-paste YAML snippets to fix configuration errors immediately.
Immediate stability improvements.
Cost Optimization Plan
Calculation of potential savings via Rightsizing and Spot Instances.
Potentially reduce compute costs by 40-60%.
Reference Architecture
A recommended design (e.g., Private Cluster, Azure Policy) for future scalability.
Long-term scalability and reduced technical debt.
Observability Roadmap
Recommendations for implementing better monitoring (e.g., Service Mesh, Prometheus).
Reduced Mean Time to Recovery (MTTR).
How we engage: the process
01
Onboarding
We sign an NDA and you grant us Read-Only access.
02
Automated Scan
We run our suite of tools (Polaris, Trivy, Popeye) against your environment.
03
Expert Review
Our CKA/CKAD certified engineers manually review the architecture and logic.
04
Report & Workshop
We present the findings and guide your team through the remediation steps.
Frequently Asked Questions
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.
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