Features

The AI cloud terminal

Command and control across AWS, Google Cloud, Azure, Tailscale, and Kubernetes — one encrypted desktop app instead of a drawer of CLIs, key files, and browser tabs.

Deep divesComputeServerlessKubernetesSQL

Multi-cloud terminal

Every session in one window

Connect AWS, Google Cloud, Azure, Tailscale, and Kubernetes, then open SSH, AWS SSM, and Tailscale SSH sessions in tabs, and move any live session into its own window. No juggling CLIs or context.

Cloud-aware AI

Help that knows your infra

Ask in plain English. AI uses your cloud and session context to help you debug, troubleshoot, explain output, generate commands, and run them.

Architecture diagrams

See where everything lives

Diagrams drawn from your real accounts place each server, database, and cluster in its network, zone, and subnet, with its egress path and load balancers. A Connectivity overlay shows how you can reach it: SSM, IAP, SSH, or Tailscale.

Encrypted vault

Your keys stay on your device

SSH keys, cloud credentials, and notes are encrypted on your device with Argon2id + AES-GCM before they sync. Neither your master password nor the keys derived from it is ever transmitted to us.

Terminal rendering

Fast when the logs won't stop

GPU-accelerated terminal rendering — over 900% faster than traditional rendering — so log floods and busy sessions stay fluid. Look for this badge in the app: GPU Accelerated

Cloud SSO

Accounts appear. You're in.

Sign in with AWS IAM Identity Center and Google Cloud OAuth. CloudCMD discovers your accounts and servers so you're connected in seconds.

Deep dive 01

Compute

Your servers' health and every way in, right next to the sessions you open on them.

Compute metrics

Every server, charted

A server's Properties tab charts CPU, disk, and network history from your cloud provider's monitoring. Turn on real-time metrics and the charts fill in second by second from the host over SSM, IAP, or SSH, with a detail view for load, swap, per-core CPU, per-disk I/O, and per-mount disk space.

Connectivity

See how you'll reach a server

Turn on Show connectivity in a server's Diagram tab to draw each way in from You — SSM, IAP, SSH, or Tailscale — marked Ready, Needs setup, or Blocked. Click a dashed line for the read-only checks behind it, such as the SSM agent's status or a security group rule for port 22.

Advanced metrics

See bottlenecks as they happen

Turn on real-time metrics and CloudCMD charts second-by-second CPU, memory, network, and disk from the host over the same SSM, IAP, or Tailscale SSH connection you already use, alongside your cloud provider's metrics.

Deep dive 02

Serverless

Lambda, Cloud Run, Cloud Functions, Azure Functions, and Container Apps under each cloud: logs, metrics, and actions without the console.

Serverless

Functions and containers, live

Lambda, Cloud Run, Cloud Functions, Azure Functions, and Container Apps appear under each cloud. View logs, metrics, and config, invoke functions or execute jobs, and shift traffic between versions and revisions.

Serverless logs

Follow the logs of any service

View logs opens a live log tab for Lambda, Cloud Run services and jobs, Cloud Functions, Azure Functions, and Container Apps, with filtered logs per revision, execution, and inner function.

Serverless metrics

Requests, errors, and latency at a glance

Properties opens on headline metric tiles, the traffic split, and the last hour's recent errors. The Metrics tab charts each service over 1 hour, 24 hours, or 7 days: requests, errors, latency percentiles, and instances, depending on the kind.

Serverless actions

Run it without the console

Execute a Cloud Run job, invoke a Lambda function with a JSON payload, or start, stop, and restart Azure Function Apps and Container Apps. Stops, restarts, executions, and invokes ask first, naming the resource, region, and cloud.

Deep dive 03

Kubernetes

EKS, GKE, and AKS clusters, browsed live: where your pods run, what they're logging, and the controls to fix them.

Deployment diagrams

Where every pod actually runs

A Deployment or StatefulSet's Diagram tab draws its pods inside the nodes they're scheduled on, within the cluster's VPC, zones, and subnets, with the load balancer, Ingress, and Service in front. Unscheduled pods sit apart, every tile shows its health, and clicking a pod shows its status, owner, and IP.

Kubernetes

EKS, GKE, and AKS — no extra tool

Browse clusters, describe resources, tail pod logs, and run kubectl from an integrated view — no separate context switching.

Pod logs and exec

Logs and a shell, one click from the pod

Follow a pod's logs, including the previous instance or every container, or exec into it in its own tab. Port-forward to a pod or Service, or open a shell already pointed at the cluster for kubectl, helm, or k9s.

Workload actions

Scale and restart from the tree

Scale a Deployment or StatefulSet, trigger a rollout restart, or delete a stuck pod from its menu, then watch the change land: every Kubernetes view is watch-backed, with no polling.

Deep dive 04

SQL

RDS, Aurora, Cloud SQL, and Azure databases: what they are, how to reach them, and a place to query them.

SQL overview

Everything about an instance, on one page

Each database's Overview shows its engine, endpoint, network, and auth settings with console links, and ranks the ways to reach it (direct, SSH bastion, SSM relay, or the Cloud SQL connector) as Ready or Needs setup, with a checklist for the direct path.

Database connectivity

Every path to your database, drawn

The instance's Diagram tab places the database in its network, subnet, and region. Show connectivity adds your routes from You, direct or through a relay server drawn as the hop it goes through, with a legend and each path's checks in the detail panel.

SQL

Query your cloud databases in place

RDS, Aurora, Cloud SQL, and Azure database instances appear in your environment tree. Browse schemas, tables, and users, and run queries in a built-in editor for PostgreSQL, MySQL, and SQL Server, using cloud-native auth where it's available.

SQL AI assistant

An assistant that knows your database

Opt in and the AI pane joins the SQL editor. It knows the engine, version, and schema you're connected to, and helps you write, fix, and explain queries, users, roles, and grants in the right dialect.

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