Timeline

A GitHub Actions pipeline that builds a container image, gates it on fixable CVEs, signs it with Cosign keyless, attaches SLSA provenance, and refuses to call it deployable unless all of that verifies against the exact repo that built it.

How to wire Security Hub, GuardDuty Extended Threat Detection, and a Step Functions pipeline together so a HIGH finding automatically quarantines the affected EC2 instance within seconds.

How to stack three runtime security layers on EKS so one kills processes in-kernel, one generates a queryable alert history, and one catches what the other two miss using AWS threat intelligence.

Attaching SCPs and RCPs to an AWS Organization, enforcing the new aws:VpceOrgID condition, and running denial tests against an external account with CloudTrail evidence.

How to design a three-layer AWS data perimeter using SCPs, RCPs, and VPC endpoint policies, and build the substrate to validate it against an external account.

OIDC and IRSA for Amazon EKS: how to scope AWS access per workload without embedding credentials, and when Pod Identity is the better choice.

Finding misconfigurations before they become incidents. Privilege escalation paths, Access Analyzer, CloudTrail auditing, and the IAM security checks I run on every account.

Moving beyond basic policies. How to implement attribute-based access control, permission boundaries, and organizational guardrails.

Temporary credentials, STS operations, and the federation patterns that actually matter for AWS security.

IAM identity types, policy evaluation logic, and the fundamentals that matter for AWS security work.

Chaos engineering practices using Chaos Mesh on Amazon EKS to build more resilient cloud-native applications

AWS secrets management solution with Infrastructure as Code, cost optimization, automated rotation, and monitoring

That simple vulnerability patching pattern everyone shows? It doesn't work when you use it.

I've used these commands to catch everything from wide-open S3 buckets to overprivileged IAM roles. Here's your practical guide to AWS security auditing that comes in handy.

Building a container security scanner using Trivy, Grype, and Snyk with AWS ECR and EKS deployment automation

AWS security engineering project implementing OWASP Juice Shop on ECS Fargate with AWS WAF protection, Terraform IaC, real-time Athena analytics, CI/CD security pipeline, and emergency response

The irony is that Go makes building secure applications relatively straightforward, but its simplicity can be deceptive when it comes to secrets management.

As a security engineer who's implemented security controls across cloud environments, I've always been curious about how policy engines actually work under the hood

A 4-part series for AWS Security Specialty exam preparation.

Most organizations think they have observability when they really just have expensive monitoring. What is the difference and why it matters for both DevOps and security teams.

I spent years thinking I was just 'not a good reader' until a casual conversation led to a diagnosis that explained everything. Here's how dyslexia shapes my approach to learning and career in tech.

When working with Docker, one of the biggest questions you'll run into is: 'How do I store data in a container without losing it when it stops?'

We solved the 'works on my machine' problem by packaging applications in containers. But success creates its own challenges. What happens when you're running not just one container, but hundreds? Or thousands?

Remember when deploying software meant crossing your fingers and hoping it would work on the production server? When 'but it works on my machine' was the most dreaded phrase in tech? Those days are fading fast, thanks to a technology that's quietly revolutionizing how we build and ship software: containers

Let's takes you inside real organizations implementing Defense in Depth strategies, revealing what works, what doesn't, and what you can apply to your own cloud journey

The Defense in Depth is beautifully simple: never rely on just one defense. Instead, create multiple safeguards that work together. If one fails, others are ready to step in.

Two fundamental principles that sound similar but serve completely different purposes in cloud security. Here's why the distinction matters