Cloud Platforms

Deploy Next.js apps to Vercel with environment setup and production hosting

Keep files and outputs that outlive a sandbox in a volume shared across spaces

Design serverless AWS architectures with CloudFormation and cost controls

Design Azure architectures with Bicep templates and cost optimization

Design GCP architectures on Cloud Run, GKE and BigQuery with cost controls

Run durable remote commands on cmux Cloud machines and present their workspaces

Deploy apps to Cloudflare Workers and Pages with the right platform services

Deploy and link web projects on Netlify with preview and production builds

Deploy a site to Vercel and return a live or preview link

Move Gemini API apps from AI Studio to Google Cloud Agent Platform

Troubleshoot 403, 500 and permission errors in Agent Gateway, Identity and IAP

Add API keys, JWT auth and rate limits to backends behind Google Cloud API Gateway

Deploy and manage Cloud Run services, scheduled jobs and worker pools

Install the Data Manager API client library and set up its authentication

Choose Google Cloud services for compute, databases, storage and AI

Set up the Firebase CLI, create projects and download app config files

Validate and guard gcloud CLI commands before running them on Google Cloud

Containerize an app and write deployment manifests to onboard it onto GKE

Create GKE clusters, fetch credentials and choose between Autopilot and Standard

Run batch and HPC jobs on GKE with job queues and parallel processing

Enable and tune GKE cluster autoscaler and troubleshoot nodes that will not scale

Plan and create production-ready GKE clusters from Autopilot, Standard or GPU templates

Monitor Filestore capacity and autoscale instance shares up or down

Troubleshoot Filestore NFS mount failures, EACCES errors and timeouts

Browse and read Filestore NFS files and metadata without mounting the share

Design global Application Load Balancers with Cloud CDN and Cloud Armor

Investigate dropped packets, VPC Flow Logs and firewall issues on GCP

Set up IAM, service accounts and Application Default Credentials on Google Cloud

Deploy a Google Cloud landing zone with org policies, folders and logging

Set up a first Google Cloud project with billing and a test deployment

Design end-to-end Google Cloud system architectures and deployment blueprints

Design secure n-tier serverless web apps with Terraform on Google Cloud

Store, transfer and manage objects in Cloud Storage buckets

Design secure Cloud Storage buckets for a workload with validated settings

Mount Cloud Storage buckets as file systems with gcsfuse on GKE or VMs

Review Google Cloud workloads for cost efficiency and rightsizing

Build CI/CD, monitoring and incident guidance for Google Cloud workloads

Review Google Cloud workloads for performance using the WAF pillar

Improve Google Cloud workload reliability, failover and disaster recovery

Cut Google Cloud carbon footprint and improve workload energy efficiency

Run Workload Manager evaluations for SAP and Google Cloud rule checks

Flag AWS spend that breaks from its per-service baseline and alert with likely drivers

Build and deploy Kortix Apps with servers, workers, databases and sign-in

Publish a static site or web app to a public URL and get a live link

Run untrusted or agent-generated code in ephemeral microVM sandboxes

Work with AWS services like EC2, S3, Lambda and IAM through the AWS CLI

Manage Azure resources with the az CLI, AKS and App Service

Work with Google Cloud using gcloud, GKE, Cloud Run and managed services

Rent, manage and destroy GPU instances on vast.ai without owning hardware