2. DevOps & Infrastructure

Guides teams through Vercel incident response, including triage, mitigation, and postmortem procedures for outages and integration failures.

Analyzes system throughput to identify bottlenecks and optimize resource utilization for improved performance and scalability.

Configures Retell AI across development, staging, and production environments with environment-specific secrets and settings.

Automates configuration of synthetic monitoring for uptime, transaction, and API checks to proactively track application performance and availability.

Manages environment variable operations for DevOps workflows, enabling seamless configuration across development, staging, and production environments.

Automates creation and management of AWS security group rules to enforce network access controls within cloud infrastructure.

Validates YAML configuration files for correctness and schema adherence, preventing deployment errors in DevOps workflows.

Manages container registries (ECR, GCR, Harbor) for creation, configuration, and security, generating production-ready DevOps pipeline configurations.

Enforces Replit code quality standards through automated linting, policy checks, and CI integration for development workflows.

Automates AWS VPC network design and configuration for cloud infrastructure deployment and management.

Configures PostHog across development, staging, and production environments with environment-specific settings and secret management.

Configures monitoring, logging, and alerting for Linear API integrations, including metrics collection and dashboard setup.

Integrates Kling AI video outputs with cloud storage services (S3, GCS, Azure Blob) for seamless video storage and management.

Ensures Clerk authentication service deployment meets production readiness requirements through configuration, security, and validation checks.

Automatically generates Ansible playbooks for infrastructure configuration and deployment automation.

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

Automates database backups for PostgreSQL, MySQL, MongoDB, and SQLite with scheduling, compression, encryption, and restore procedures.

Generates production-ready backup configurations for databases and applications, ensuring data protection and disaster recovery through secure, scalable automation.

Monitors and optimizes application resource consumption (CPU, memory, I/O) to enhance performance and reduce operational costs.

Configures and manages environment-specific settings for Juicebox across development, staging, and production environments.

Monitors and analyzes application error rates including HTTP, database, and external API errors, setting up tracking and alerting based on thresholds.

Automates the creation and management of AWS SAM (Serverless Application Model) templates for serverless infrastructure deployment.

Automates creation of AWS CloudWatch alarms for monitoring cloud resources and triggering actions.

Configures metrics, traces, and alerts for Vast.ai integrations to monitor system health and performance.