2. DevOps & Infrastructure

Automates Cloud Tasks queue setup in Google Cloud Platform for asynchronous task execution and workflow management.

Deploys production-ready monitoring stacks (Prometheus, Grafana, Datadog) with best practices for infrastructure monitoring across multiple platforms.

Generates production-ready infrastructure as code configurations for cloud platforms using Terraform, CloudFormation, and Pulumi.

Validates application performance against predefined budgets in CI/CD pipelines to detect regressions early.

Monitors and analyzes CPU usage patterns to identify hotspots, algorithmic complexity, and blocking operations for system observability.

Analyzes infrastructure capacity, forecasts growth trends, and recommends scaling strategies to prevent performance bottlenecks.

Automates database recovery operations including disaster recovery, point-in-time recovery, and failover strategies for production systems.

Detects, analyzes, and prevents database deadlocks by monitoring lock contention and suggesting resolution strategies for production systems.

Configures AWS ElastiCache settings for efficient in-memory data storage and application performance in cloud environments.

Validates load balancer configurations including traffic distribution, failover, sticky sessions, and health checks.

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

Automates Vertex AI infrastructure deployment including Model Garden, Gemini endpoints, and vector search via Terraform with encryption and auto-scaling.

Configures monitoring, metrics, logging, and alerting for Customer.io integrations to ensure operational visibility and system health.

Monitors and optimizes application resource usage including CPU, memory, and I/O for performance and cost efficiency.

Automates creation of AWS Identity and Access Management (IAM) roles for secure resource access in cloud environments.

Optimizes Vercel cloud costs through tier selection, usage monitoring, and budget alert implementation for efficient resource management.

Configures Envoy Proxy settings for service mesh and infrastructure traffic routing in distributed systems.

Executes Vast.ai incident response procedures including triage, mitigation, and postmortem for outages and integration failures.

Provides strategic guidance for migrating systems to or from Perplexity using the strangler fig pattern, including major version upgrades and re-platforming.

Optimizes Sentry monitoring for high-traffic applications, managing event volume, cost, and performance at scale.

Automates generation of Artillery configuration files for performance testing of systems and services.

Analyzes application logs to identify performance bottlenecks, error patterns, and resource issues for troubleshooting and stability improvement.

Configures Google Kubernetes Engine (GKE) cluster settings for cloud infrastructure management and service deployment.

Executes Retell AI production deployment and rollback procedures for seamless integration launches and recoveries.