Contributed Content
What Dependency Mocking Software Needs to Handle in a Cloud Native Architecture
Much of the dependency mocking software in use today was not designed with cloud native architectures in mind. The tools that dominate the category today were built for a world where services ...
Why Kubernetes RBAC Misconfigurations Are the Easiest Privilege Escalation You’ll Ever Find
Ask any penetration tester which part of a Kubernetes assessment reliably produces a finding, and RBAC comes up almost every time. Not because Kubernetes’ permission model is poorly designed — it’s genuinely ...
Your Service Is Healthy, but Its Data Isn’t: Rethinking Cloud-Native Health Checks
Some of the most difficult production issues do not start with a failed service. The application is running, the database is reachable, requests are completed successfully and the monitoring dashboard is green ...
Why Your Kubernetes Readiness Probes Are Lying During Rolling Updates
Kubernetes readiness probes can pass while applications are still unable to serve real traffic. Protocol-aware checks help close the gap between “running” and truly “ready.” ...
Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead
Kubernetes autoscaling works best when teams match the metric to the workload: queue latency for synchronous web traffic, queue depth for background jobs ...
Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation
Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...
Production-Safe Security Testing: A Missing Layer in Cloud-Native Application Security
Cloud-native applications keep changing after deployment, making production-safe security testing essential for validating real vulnerabilities, misconfigurations and access-control gaps without disrupting live systems ...
Dharmesh Acharya | | API security, application security, attack surface management, business logic flaws, CI/CD security, cloud native security, cloud security, container security, continuous security testing, DevSecOps, IAM security, microservices security, misconfiguration, non-destructive testing, penetration testing, production security testing, production validation, runtime security, security posture, vulnerability validation
K8sGPT and the Guardrails for AI-Assisted Kubernetes Troubleshooting
A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...
From Controls to Continuous Assurance: Rethinking GRC for Cloud-Native Environments
The standard process of building governance, risk, and compliance (GRC) programs has been straightforward: define a control, document a control, test the control on a regular basis, and generate a report for ...
Securing North-South Traffic in AKS Using Application Gateway, WAF and AGIC
Secure AKS north-south traffic with Application Gateway, WAF and AGIC, combining Layer 7 protection, end-to-end TLS, private back ends and strong ingress visibility ...
Olaitan Falolu | | AGIC, AKS security, Application Gateway Ingress Controller, application security, Azure Application Gateway, Azure Kubernetes Service, Azure security, cloud native security, DevSecOps, end-to-end TLS, Ingress controller, ingress protection, Kubernetes ingress security, Kubernetes networking, Kubernetes security, Layer 7 security, north-south traffic, private AKS, WAF, web application firewall

