Browse Skills

Design, author, and maintain operational runbooks that enable on-call engineers to diagnose and resolve incidents faster with structured response procedures, escalation frameworks, and toil reduction strategies.

Design and implement controlled failure injection tests for API dependencies to validate system resilience, graceful degradation, and recovery mechanisms before production incidents occur.

Designs comprehensive database backup and disaster recovery strategies including RPO/RTO targets, backup rotation schemes, cross-region replication, point-in-time recovery, and automated restore testing.

Designs and enforces security baselines for Kubernetes clusters using Pod Security Standards, CIS Benchmarks, admission controllers, and network policies to harden workloads against common attack vectors.

Designs production-ready containerization strategies with Docker and orchestration. Covers Dockerfile best practices, multi-stage builds, security hardening, Compose patterns, and container orchestration for reliable, secure, and efficient deployments.

Design, optimize, and scale GitLab CI/CD pipelines for any project size. Produces production-ready .gitlab-ci.yml configurations with caching, parallelization, security scanning, and compliance patterns.

Design and operate Terraform state management strategies including remote backends, state locking, workspace topology, state splitting, migration, and disaster recovery for team-scale infrastructure-as-code workflows.

Comprehensive DevOps guidance covering CI/CD pipelines, Docker, Kubernetes, cloud platforms (AWS/GCP/Azure), infrastructure as code, monitoring, incident response, and production reliability engineering.

Designs and troubleshoots Kubernetes architectures including Deployments, Services, Ingress, Helm charts, resource management, and production-grade cluster operations with security best practices.

Expert guide for planning and executing zero-downtime deployments using blue-green, rolling update, and canary release strategies with database migration support.

Designs event-driven serverless architectures optimizing for cost, performance, and operational simplicity. Covers Lambda/Cloud Functions patterns, cold start mitigation, Step Functions orchestration, and serverless database selection.

Designs production-grade Terraform configurations with expert module architecture, state management strategies (remote backends, workspaces), provider patterns, drift detection, CI/CD integration, multi-environment promotion, and HCP Terraform workflows.

Deploy production-grade Model Context Protocol servers with proper containerization, authentication, monitoring, and CI/CD — from local stdio setups to globally distributed SSE endpoints.

Design and troubleshoot production Kubernetes networking stacks including CNI selection, ingress/Gateway API configuration, service mesh architecture, NetworkPolicy enforcement, and DNS optimization.

Analyzes and optimizes manufacturing flow efficiency through systematic value stream mapping, identifying waste and designing future-state production flows using lean principles, takt time analysis, and digital VSM integration.

Strategic guidance for designing and optimizing Google Cloud Platform architectures and data-intensive workloads.

Designs production-grade Kubernetes Helm v3 charts with expert-level Go templating, values.yaml architecture, dependency management, chart testing strategies, security scanning, and GitOps integration patterns.

Build production-grade applications on Firebase with expert guidance on Firestore data modeling, Security Rules, Cloud Functions, Authentication, and cost optimization.

Design and optimize CI/CD pipelines for monorepo architectures. Provides task orchestration, caching strategies, affected-command patterns, and release coordination for multi-package repositories using Nx, Turborepo, or Bazel.

Design production-grade AWS Step Functions workflows with proper state machine patterns, error handling, saga orchestration, and cost-optimized execution strategies.

Designs and provisions production-grade Google Cloud data platform infrastructure using Terraform. Covers BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, IAM, networking, and cost optimization with reusable module patterns.

Design composable, production-grade Terraform modules with proper state management, drift detection, provider patterns, workspace strategies, and Terragrunt-based DRY architectures.

Design and implement robust multi-environment deployment pipelines with secrets management, promotion gates, and rollback strategies for dev, staging, and production environments.

Designs optimal database replication topologies balancing durability, availability, performance, and operational complexity across relational and distributed systems.