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This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

This comprehensive skill provides a security posture assessment for AWS environments. It uses AWS CLI commands to audit critical security areas, including IAM policy review, network security groups, data encryption status (EBS, S3, RDS), and logging mechanisms (CloudTrail, VPC Flow Logs). Use this to proactively identify misconfigurations and ensure adherence to security best practices and compliance standards.

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.

Expert in designing, building, and optimizing scalable data pipelines, modern data warehouses, and real-time streaming architectures. Mastery covers the complete modern data stack, including Spark, dbt, Airflow, and cloud services (AWS, Azure, GCP). Focuses on ELT/ETL, data lakehouse implementation (Delta Lake, Iceberg), data governance, and ensuring high data quality and operational reliability.

An expert guide for designing, implementing, and optimizing large-scale, secure, and highly available cloud-native infrastructure using Kubernetes. Covers advanced topics including GitOps workflows (ArgoCD/Flux), service mesh architecture (Istio), multi-cluster management, Policy as Code (OPA), and infrastructure automation with Terraform. Ideal for platform engineers building enterprise-grade container orchestration solutions.

A comprehensive, multi-phase workflow designed for Infrastructure as Code (IaC) using Terraform. It guides users through provisioning cloud resources, creating reusable modules, managing complex state, handling multi-environment deployments, and integrating robust CI/CD pipelines and security practices. Ideal for establishing scalable, repeatable, and auditable cloud infrastructure.

A comprehensive guide and workflow for detecting unauthorized data exfiltration from AWS S3 buckets. It details how to leverage multiple AWS services—including CloudTrail, GuardDuty, Amazon Macie, and Athena—to analyze access patterns, identify bulk downloads, and detect cross-account data transfers, ensuring robust cloud compliance and security monitoring.

A comprehensive guide for security professionals to detect data exfiltration by analyzing network telemetry (Zeek, Suricata) and logs. Techniques include identifying DNS tunneling, unusual cloud uploads, and detecting large/abusive data flows across various channels during incident response and proactive threat hunting.

This comprehensive guide details how to establish AWS Security Hub as a centralized Cloud Security Posture Management (CSPM) platform. It aggregates security findings from multiple AWS services (GuardDuty, Inspector, Macie) and third-party tools. Users can enforce compliance against industry standards (CIS, PCI-DSS, NIST), automate remediation workflows via EventBridge, and generate comprehensive evidence for compliance audits.

A comprehensive guide to continuously monitoring multi-cloud environments (AWS, Azure, GCP) for security misconfigurations, compliance violations, and risk drift. This solution leverages industry tools like Prowler and ScoutSuite to enforce compliance standards (CIS, SOC 2, PCI DSS) across heterogeneous cloud infrastructures, providing deep visibility into security gaps and automating remediation workflows.

This skill covers the deployment and fine-tuning of Web Application Firewall (WAF) rules across major cloud platforms like AWS, Azure, and Cloudflare. It addresses critical security needs such as mitigating OWASP vulnerabilities (SQLi, XSS), managing bot traffic, implementing rate limiting, and ensuring compliance (e.g., PCI-DSS). The workflow guides users through deploying managed rule sets, creating custom rate-based logic, and minimizing false positives.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.