Skill UI

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.

A comprehensive guide featuring best practices and patterns for building robust GitLab CI/CD pipelines. Covers multi-stage deployments, containerization (Docker), infrastructure as code (Terraform), security scanning, caching strategies, and advanced GitOps workflows for automated testing and deployment to Kubernetes.

An expert architect specializing in designing, implementing, and managing complex hybrid and multi-cloud environments. Expertise spans major public clouds (AWS, Azure, GCP), private clouds (OpenStack, VMware), and container platforms (Kubernetes). Focus areas include cross-cloud networking, Infrastructure as Code (IaC) using Terraform, workload optimization, zero-trust security implementation, and FinOps cost management.

This skill provides methods and rules for detecting advanced container escape attempts, where an adversary attempts to break out of container isolation. Detection relies on monitoring critical system activities such as namespace manipulation, capability abuse (e.g., CAP_SYS_ADMIN), kernel exploits, and access to sensitive host paths. Tools like Falco, Sysdig, and eBPF are leveraged to monitor syscalls and process behavior in real-time, crucial for security incident response and threat hunting in containerized environments like Kubernetes or Docker.

This guide details how to write and tune Falco rules to monitor Linux syscalls in real-time. It is designed to detect critical container escape techniques, such as mounting host filesystems, accessing sensitive host paths, loading kernel modules, and exploiting privileged container capabilities. Ideal for security hardening, threat hunting, and incident response in Kubernetes or containerized environments.

A comprehensive guide detailing how to implement Microsoft Defender for Cloud across various workloads (VMs, containers, SQL, storage) to achieve continuous security monitoring and compliance assessment. This process utilizes Azure Policy, Log Analytics, and Azure Arc for holistic protection, enabling adaptive remediation and meeting stringent regulatory requirements like PCI-DSS and CIS standards.

Utilizes Google Distroless images and multi-stage Docker builds to drastically reduce container attack surface. By eliminating unnecessary OS components like shells, package managers, and core utilities, this technique is essential for hardening container security, meeting compliance requirements, or mitigating risks associated with bloated base images.

This skill guides the implementation and auditing of advanced network segmentation within Kubernetes using Calico. It enables establishing zero-trust microsegmentation by creating and managing NetworkPolicy and GlobalNetworkPolicy resources. Use this to strictly control pod-to-pod traffic, enforce namespace isolation, restrict egress rules, and apply DNS-based security policies, significantly hardening your cluster's security posture.

This guide details the implementation of GCP Binary Authorization, a crucial deploy-time security control. It ensures that only trusted, verified container images are deployed on GKE or Cloud Run by requiring cryptographic attestations. Learn how to set up KMS-backed attestors, configure policies, and integrate the validation process into your CI/CD pipeline to enforce robust supply chain integrity.

Guides the implementation of Kubernetes Pod Security Standards (PSS) using the Pod Security Admission (PSA) controller. This process involves labeling namespaces with security profiles (Privileged, Baseline, Restricted) and enforcing policies via 'enforce', 'audit', or 'warn' modes. It is crucial for hardening container workloads, migrating away from deprecated PodSecurityPolicy, and ensuring compliance at the namespace level.

Tetragon is a CNCF project that provides advanced, high-performance runtime security observability and enforcement for Kubernetes clusters. By utilizing eBPF, it operates directly at the Linux kernel level to monitor and enforce policies on process execution, file system access, network traffic, and dangerous system calls (syscalls). It offers low-overhead threat detection, making it essential for securing containerized environments against container escapes and unauthorized activity.

Leverage the in-toto framework to enforce software supply chain integrity for container builds. This method generates cryptographically signed attestations (link metadata) at every stage—from code checkout to scanning—verifying that the deployed container image followed a predefined and approved build process. It is essential for implementing robust security controls, especially when requiring verifiable provenance before deployment in Kubernetes environments.