2. DevOps & Infrastructure

Executes Vast.ai migration strategies using the strangler fig pattern for major re-architecture, version upgrades, and integration re-platforming.

Monitors PostgreSQL and MySQL database health in real-time, detecting performance degradation, resource exhaustion, and replication issues with automated alerts and remediation.

Automatically configures Google Cloud Pub/Sub subscriptions for seamless messaging infrastructure setup within GCP environments.

Calculates Apdex scores to measure user satisfaction with application performance in testing scenarios.

Executes load and stress tests on APIs to validate performance and scalability under simulated user loads.

Provides foundational guidance for configuring and managing GitLab CI pipelines in DevOps workflows.

Executes a structured checklist for Juicebox production deployment, validating all readiness criteria before launch.

Configures Juicebox CI/CD pipelines with GitHub Actions for automated testing and seamless build integration.

Analyzes cloud infrastructure costs across AWS, Azure, and GCP to identify savings opportunities and provide actionable optimization recommendations.

Manages package.json operations including dependency handling and configuration for Node.js projects within DevOps pipelines.

Configures Fireflies.ai for development, staging, and production environments with environment-specific secrets and settings.

Validates load balancer behavior, failover mechanisms, and traffic distribution patterns for infrastructure reliability.

Deploys Clay-powered applications to Vercel, Fly.io, and Cloud Run with platform-specific configuration and pipeline setup.

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

Advanced debugging toolkit for resolving complex Vercel deployment and runtime issues beyond standard troubleshooting methods.

Automates cloud infrastructure scaling policy configuration for dynamic resource allocation and cost optimization.

Automates the setup and configuration of Amazon RDS database instances within AWS cloud infrastructure.

Automates the setup of Amazon RDS database instances on AWS, streamlining cloud database deployment for developers and DevOps teams.

Automates the creation and planning of load test scenarios to evaluate system performance under expected user workloads and stress conditions.

Executes predefined incident response procedures for Juicebox production outages, guiding teams through troubleshooting and resolution steps.

Automates Perplexity load testing, auto-scaling, and capacity planning for infrastructure optimization.

Executes production deployment and rollback checklists for Instantly integrations, ensuring smooth go-live and deployment readiness.

Generates production-ready CI/CD configurations and multi-stage deployment pipelines from user requirements.

Automates AWS S3 lifecycle policy configuration for efficient storage management and cost optimization.