gcloud
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
vercel
Deploy and manage Vercel projects, domains, environment variables, and serverless functions using the `vercel` CLI.
sf-metadata
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sf-deploy
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lettactl
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
release-planning
Plan, coordinate, and execute software releases across environments. Manage versioning, rollout strategies, rollback procedures, and stakeholder communication for smooth deployments.
terraform-infrastructure
Infrastructure as Code using Terraform with modular components, state management, and multi-cloud deployments. Use for provisioning and managing cloud resources.
service-mesh-implementation
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
Model Deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
load-balancer-setup
Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.
kubernetes-deployment
Deploy, manage, and scale containerized applications on Kubernetes clusters with best practices for production workloads, resource management, and rolling updates.
graceful-shutdown
Implement graceful shutdown procedures to handle SIGTERM signals, drain connections, complete in-flight requests, and clean up resources properly. Use when deploying containerized applications, handling server restarts, or ensuring zero-downtime deployments.
gcp-cloud-run
Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.
health-check-endpoints
Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.
feature-flag-system
Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.
deployment-automation
Automate deployments across environments using Helm, Terraform, and ArgoCD. Implement blue-green deployments, canary releases, and rollback strategies.
container-registry-management
Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.
cloud-migration-planning
Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
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