Skill UI

Automates guidance and code generation for managing Helm values within advanced DevOps workflows, including Kubernetes, Terraform, CI/CD, monitoring, and infrastructure-as-code best practices.

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.

Automates Istio service mesh configuration guidance for DevOps Advanced users, offering best-practice patterns, production-ready code, validation, and infrastructure-as-code support across Kubernetes, Terraform, and monitoring workflows.

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.

Automates Kubernetes ConfigMap handler tasks by providing step-by-step guidance, best practice patterns, and production-ready code as part of an advanced DevOps workflow focused on Terraform, Helm, and infrastructure-as-code.

Auto-activating DevOps skill that guides Kubernetes deployment creation with best practices, production-ready IaC configurations, and validation across Terraform, Helm, and monitoring workflows.

Automates guidance for managing Kubernetes secrets, covering best practices, Terraform/Helm patterns, and IaC validation ideal for advanced DevOps scenarios.

Automated guidance for Kubernetes service management in the DevOps Advanced domain, offering best-practice advice, code snippets, and config checks for services, Terraform, Helm, and monitoring workflows.

This comprehensive guide covers the entire MLOps lifecycle, specializing in building robust, scalable, and production-grade Machine Learning systems. Expertise includes orchestrating complex ML pipelines using Kubeflow, Airflow, Prefect, and cloud-native services (AWS SageMaker, Azure ML, GCP Vertex AI). It covers experiment tracking (MLflow, W&B), model versioning, model registries, infrastructure as code (Terraform), and container deployment using Kubernetes. Ideal for engineers tasked with moving ML models from research to reliable, managed production environments.

This comprehensive skill profile models an expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. It covers multi-cloud environments (AWS, Azure, GCP), advanced concepts like Zero Trust, Service Mesh (Istio), and high-availability design. Key capabilities include implementing IaC (Terraform), load balancing, DNS management, and deep network troubleshooting. Ideal for complex DevOps, SRE, or infrastructure design roles.

Automates nginx ingress manager tasks within the DevOps Advanced domain, guiding Kubernetes, Terraform, Helm, and monitoring setups with production-ready configurations and best practices.

Generates Prometheus configuration files on demand, guiding DevOps engineers through best practices for Kubernetes, Terraform, CI/CD, and monitoring while validating outputs against common standards.