Analyze, diagnose, plan, apply, and verify
Nimbus maps cloud resources into an analyzed workflow and applies gated, verified actions rather than making changes directly.
Nimbus
Nimbus is a cloud engineer agent for AWS and GCP that analyzes, plans, and verifies cloud changes in a controlled workflow.
Overview
Nimbus is a cloud engineer agent for AWS and GCP that also mentions support for Azure and PostgreSQL in its product pages. It is designed for users who want to describe cloud work in plain language and have the agent analyze, plan, and carry out the task through a controlled workflow.
The product emphasizes safety and reviewability: tasks run in isolated sandboxes, changes are presented as readable IaC diffs, and actions require approval before they affect live systems. Nimbus also includes a canvas for designing infrastructure, live cost breakdowns, and reusable workflows for recurring operational tasks.
Features
Connect to multiple clouds and databases
You can connect AWS, GCP, Azure, and PostgreSQL using scoped, revocable credentials, with no agent installation required.
Run work in isolated sandboxes
Tasks run in isolated sandboxes with ephemeral filesystems, scoped credentials, an egress allowlist, and automatic teardown when the session closes.
Use your machine, a shared runtime, or managed compute
Nimbus can work on your own machine, a teammate's machine, or a managed ephemeral machine, all through native Claude or Codex sessions.
Design infrastructure on a live canvas
The canvas view lays out infrastructure as connected nodes so you can drag, rewire, and edit architecture before provisioning.
Review costs and rightsizing opportunities
Nimbus shows live cost breakdowns, flags over-provisioned resources, and suggests rightsizing before changes are applied.
Use Cases
Troubleshoot cloud bugs safely
Ask Nimbus to inspect a cloud issue, reproduce it in a sandbox, propose a fix, and verify the result before applying changes to production.
Plan and review infrastructure
Draft an architecture on the live canvas, then review and edit the resource graph before provisioning any infrastructure.
Automate recurring operations
Turn a one-off operational fix into a reusable workflow with a trigger such as cron, webhook, or cloud alarm so it can run again later.
Run cloud work from an existing machine
Connect Nimbus to an existing machine or a teammate's shared runtime when you want it to work inside your current environment and credentials.
Check cost impact before changing a stack
Review service-level spend, spot over-provisioned resources, and apply rightsizing changes after approval.
Pros and Cons
Pros
- Supports plain-language interaction through native Claude or Codex sessions.
- Uses scoped, revocable credentials and isolated sandboxes for safer cloud work.
- Covers a full workflow from analysis and diagnosis to plan, apply, and verification.
- Includes a live canvas for infrastructure design and review before provisioning.
- Shows service-level cost breakdowns and rightsizing suggestions.
Cons
- The source does not provide pricing tiers, quotas, or plan details beyond managed runtime billing by the second.
- Supported integrations are described only at a high level, so the exact toolchain and service coverage are not fully specified.
FAQ
What cloud platforms does Nimbus work with?
Nimbus connects to AWS, GCP, Azure, and PostgreSQL through scoped, revocable credentials. The source also says there is no agent to install, and that tasks run in isolated sandboxes before anything is applied to a live environment.
How does Nimbus connect to a machine?
Nimbus can run on your own machine, on a teammate's shared runtime, or on a managed ephemeral machine billed by the second. It attaches through a native Claude or Codex session.
Does Nimbus apply changes automatically?
Nimbus shows a readable IaC diff, waits for approval, then applies changes. It also records command and diff logs and updates the runbook after before-and-after verification.
What does Nimbus cost?
The source does not describe pricing tiers or a free plan. It only indicates that managed runtimes are billed by the second.
Quick Facts
- Category
- Developer Tool
- Primary focus
- Cloud engineering and infrastructure operations
- Supported cloud services
- AWS, GCP, Azure, PostgreSQL
- Connection modes
- Your machine, shared runtime, managed runtime
- Pricing shape
- Managed runtimes billed by the second; other plan details not stated
- Source domain
- trynimbus.dev
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