2. DevOps & Infrastructure

Provides Terraform-based AWS infrastructure scaffolds for VPC, IAM, S3, and security groups following best practices.

Manages Cloudflare R2 object storage buckets and objects via Wrangler CLI, including file operations, domain configuration, and storage policies.

Creates a new configuration step for macOS bootstrap, enabling users to add custom setup tasks during system initialization.

Provides workflows for querying Grafana dashboards, Prometheus metrics, and Loki logs with datasource discovery and efficient dashboard access patterns.

Queries Google Cloud Monitoring metrics including Kubernetes resource usage (CPU/memory/network) and container metrics for infrastructure analysis.

Enforces POSIX-compliant shell scripting with best practices, utilizing bats-core for testing and shellcheck for linting.

Configures and manages CI/CD pipelines, Docker, Kubernetes, and infrastructure as code for domain-specific deployments.

Automates end-to-end DevOps workflows including infrastructure as code, CI/CD pipelines, and cloud deployment for scalable applications.

Automates mobile app development workflows including CI/CD, testing, app store deployment, and monitoring for iOS and Android platforms.

Automates Vercel production deployments with error analysis, automatic fixes, and retries for successful deployment.

Provides foundational DevOps principles, CALMS culture, and DORA metrics to guide effective software delivery practices.

Provides comprehensive production monitoring, observability, SLO/SLI management, and incident response capabilities for reliable system operations.

Comprehensive guide for building robust, secure, and efficient CI/CD pipelines with GitHub Actions, covering workflows, jobs, and secret management.

Enables production monitoring, observability, SLO/SLI management, and incident response through comprehensive tooling and runbook automation.

Provides end-to-end observability workflow for metrics, logging, tracing, and alerting with APM integration and incident automation.

Configures local development deployment strategies using containerization and environment orchestration for efficient coding and testing.

Provides best practices for implementing observability with OpenTelemetry tracing, Prometheus metrics, and structured logging in production systems.

Provides patterns for building efficient GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners to optimize automation.

Optimizes cloud infrastructure costs through resource rightsizing, reserved instances, and tagging strategies for effective cost governance.

Architects multi-stage CI/CD pipelines with approval gates, security checks, and GitOps implementation for continuous delivery.

Enables error tracking and monitoring with Sentry to improve application stability and accelerate issue resolution.

Manages Git workflows to automate release engineering and integrate with CI/CD pipelines.

Automates external service monitoring setup using UptimeRobot and Healthchecks.io for Cloud Run and VM services with Pushover integration.

Monitors and troubleshoots dual-pipeline data collection systems on GCP, supporting Cloud Run Jobs and VM systemd services for batch and real-time workflows.