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.

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

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 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.

Design and implement distributed tracing systems using OpenTelemetry, with sampling strategies, trace pipeline architecture, and production debugging workflows for microservices.

Design production-grade serverless applications on AWS using Lambda, API Gateway, DynamoDB, Step Functions, and EventBridge with cost-optimized, secure architectures.

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

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.

Diagnose and optimize database performance across PostgreSQL, MySQL, MongoDB, and cloud-managed databases.

Design and implement canary release strategies with automated analysis, traffic shifting policies, rollback triggers, and compliance-ready governance for progressive delivery pipelines.

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 resilient n8n workflows with intelligent retry strategies, error routing, dead letter queues, and alerting — transforming fragile automations into production-ready systems.

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.

Implements cloud cost tagging, FinOps dashboards, and per-team/per-product cost allocation using AWS Cost Explorer, GCP BigQuery billing exports, and Kubernetes resource quotas for accountability.

Analyzes Kubernetes cluster resource utilization and recommends cost optimization strategies including right-sizing, autoscaler tuning, spot instance adoption, and commitment discount planning to reduce cloud spend by 30-60%.

Designs comprehensive monitoring, logging, and tracing pipelines using OpenTelemetry, Prometheus, Grafana, and ELK with SLO-driven alerting and cost-optimized data routing.

Analyze and optimize AWS cloud spending through commitment-based discounts, right-sizing, spot strategies, and automated cost governance using FinOps best practices.

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

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.

Design robust release engineering processes covering build systems, artifact management, versioning, and deployment orchestration.

Expert guidance for deploying and managing containerized applications on Google Cloud Run — from container optimization and autoscaling to IAM security, VPC networking, and cost management.

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.