2. DevOps & Infrastructure

Automates setup, deployment, and orchestration of Google Cloud agents including containerized environments and CI/CD pipelines.

Executes chaos engineering experiments to test system resilience through failure injection, latency simulation, and resource exhaustion using tools like Chaos Mesh and Gremlin.

Manages Nginx Ingress Controller operations for Kubernetes clusters, including configuration and traffic routing.

Automates production-ready load balancer configuration generation for ALB, NLB, Nginx, and HAProxy based on user requirements.

Manages Google Cloud Platform (GCP) service account operations including creation, deletion, and permissions. Auto-activating for GCP infrastructure management.

Configures Clerk authentication integration with GitHub Actions for automated testing and CI pipeline setup.

Automates AWS API Gateway configuration setup and activation for seamless API management within cloud environments.

Produces production-ready Helm charts with multi-environment deployment best practices for Kubernetes applications.

Collects and aggregates performance metrics from compute, storage, network, containers, load balancers, and databases for infrastructure monitoring and troubleshooting.

Generates production-ready auto-scaling configurations for cloud infrastructure, implementing best practices for scalability and security.

Generates Fluentd configuration files for log aggregation and management in DevOps infrastructure environments.

Configures Instantly CI/CD integration with GitHub Actions for automated testing and pipeline setup.

Automates the setup of Google Cloud SQL instances, streamlining database deployment in GCP environments.

Generates Kubernetes deployment manifests, services, and related configurations in YAML format following best practices.

Provides AI-enhanced terminal command execution and debugging support for DevOps workflows, activated via specific user prompts.

Automates AWS cost analysis to identify optimization opportunities and recommend resource adjustments for cloud infrastructure.

Creates intelligent alerting rules for proactive performance monitoring, enabling threshold definition and automated system health checks.

Automates deployment of Vercel-powered applications to Vercel, Fly.io, and Cloud Run with platform-specific configuration and secrets management.

Configures Groq API access across development, staging, and production environments with environment-specific secrets and settings.

Designs, executes, and analyzes performance tests including load, stress, spike, and endurance testing with bottleneck identification and metric reporting.

Automates creation, update, and management of Kubernetes ConfigMaps for seamless configuration deployment in containerized environments.

Generates production-ready Docker Compose configurations for multi-container applications with services, networks, volumes, and health checks.

Automates creation of AWS ECS task definitions for container deployment configuration in cloud environments.

Automates response to Google Cloud Platform (GCP) monitoring alerts, enabling real-time infrastructure issue detection and resolution.