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AstroPulse
AstroPulse

The trust layer for AI operations. Nova investigates, plans, and acts. The runtime decides what can safely run.

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Nova

Ask in context, continue in the full workspace

Nova

Ask about Nova

Nova answers from what AstroPulse publishes. Acting on your own infrastructure happens in the full workspace.This chat is not saved. Nothing is stored on your device or in your account, and it disappears when you close the tab.
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Everyone can diagnose. Almost nobody can safely act.

Your AI platformengineer.

Nova works on the stack you already run, with every production action scoped, approved, audited, and reversible.

Everyone diagnoses. The control plane for safe action is the moat.

or start from your terminal

astroctl
$ astroctl nova
Open NovaSee Astro Platform
Watch Nova provision and ship

Currently onboarding early design partners.

Your team could be here. Become a design partner.

what nova actually does

Nova is not just chat. It is an operator model.

Investigate, mitigate, remediate, verify, postmortem — one loop, with a gate where the writes begin.

Ask it

Answers about your own clusters and applications, not generic advice — with the evidence and the pages it used.

Tell it to ship

Describe the change and it writes the artifacts, plans the steps, and carries them out through governed skills.

Page it

It runs the whole loop, and can fix what it finds — once a person opens the gate.

InvestigateMitigateRemediateVerifyPostmortemapprovalone loopevery incident
  1. Investigate

    Forms hypotheses, collects evidence, names findings. Nothing that can write is on the table yet, and a read that would expose customer data still asks.

  2. Mitigate

  3. Remediate

  4. Verify

  5. Postmortem

earned autonomy

Most of an incident does not need you.

Everything Nova touches goes through Astro Platform. Reads that expose nothing run unattended, reads that expose customer data stop where writes stop, and anything past the approved scope is refused and recorded.

4

ran unattended

Health, events and rollout history. Reading them exposes nothing and changes nothing, so nobody is asked.

2

held at the gate

One read and one write. The logs can expose a customer; the rollback changes production. Both wait.

1

refused outright

Out of scope, so no one was asked. A gate that only ever opens is not a gate.

every step of one incident

  1. Read the fleet

    ran

    Cluster and application health across the org. checkout-api on prod-us-east is the one that is degraded.

  2. Read the rollout history

    ran

    v2.3.1 replaced v2.3.0 twenty minutes ago. v2.3.0 had been healthy for six days.

  3. Read the application events

    ran

    The 5xx rate went from a 0.4% baseline to 3.2%, starting at the minute of the rollout.

  4. Read the application health

    ran

    The new version is up and passing its checks, and still serving 500s. The fault is the release, not the platform.

  5. checkout-api v2.3.1 is serving 500s.

    90% confidence, from three independent signals that agree.

  6. Read the application logs

    held

    A log line can carry a customer’s data, so a read that exposes one is gated exactly like a change. Approved, and it named the checkout path.

  7. Roll checkout-api back to v2.3.0

    held

    A production write on a tier-one workload, so it waits for an admin or an SRE. Blast radius: one service on prod-us-east. Approved, then executed and watched back to baseline.

  8. Destroy and redeploy prod-us-east

    refused

    Past the approved blast radius. Denied and written to the audit trail before the approved rollback ran.

prompt to production · preview

Say “deploy this”. Get a live endpoint.

Add astro-deploy to Claude Code, Cursor or VS Code once. It runs on your machine, so your source stays there: the repository is read where it sits, a blueprint is resolved, and the artifacts are written with the production defaults most teams meet during an incident.

›/deploy this service to dev

local → dev → staging → prod

Deploy builds for the entry environment. Promotion moves the image that was already validated rather than building a new one, and an environment will not take a release until the one before it is healthy.

read from your repository

language TypeScript · framework Next.js · port 3000 · stateful no

blueprint resolved

Server-rendered web apps with a backend. Standard infrastructure.

installs ingress · TLS certificates · DNS records

2 nodes · Deployment

written for you

Dockerfile · Helm chart · GitHub Actions

production defaults you did not have to know

liveness probereadiness proberesource requests and limitsruns as non-rootseccomp RuntimeDefaultno privilege escalationall capabilities droppedpod disruption budgetrolling update, maxUnavailable 0autoscaling (opt-in)

The difference between a service that deploys and one that survives its first bad night.

claude
$ claude mcp add astro-deploy -s project -- mcp-server-astro-deploy
Set it up in Nova Connect

the real question

Why not just wire an LLM to your connectors?

Diagnosis is becoming a commodity. Permission to act in production is not.

LLM + connectorsNova
ActingLLM + connectorsDescribes what broke.NovaChanges production inside a scope it cannot exceed, with a blast radius ceiling and a rollback.
GovernanceLLM + connectorsAn approval button.NovaIdentity, scope, policy and expiry on every action, written to an append-only audit trail.
MemoryLLM + connectorsForgets when the chat closes.NovaKeeps what worked, what was ruled out, and your topology — so the next incident starts warmer.
RuntimeLLM + connectorsCalls APIs and hopes.NovaEnforces what is safe to run at the runtime itself, with a first-party map of your environment.
SeamsLLM + connectorsA cluster tool, a delivery tool and an agent — three permission models, three audit trails, and nobody owns the joins.NovaOne system provisions the cluster, deploys the app and runs the agent, so there is one audit trail because there is one runtime.

The model was never the bottleneck. The control layer was. Everyone can diagnose, and everyone will tell you their agent asks permission. The question worth asking is whether the policy sits in the execution path, or beside it.

Read our take: The AI SRE race is running the wrong way

How we designed Nova's investigation engine: lessons from SRE at scale

see it in action

Watch Nova work

Real recordings of the real product, acting under governed approval.

Governed outcomes

Nova applies the fix when it can, and holds off when it should, honest about every write.

opening the gate

Held is not the same as blocked.

The runtime stops the change. A person releases it, without leaving the thread they are already in.

Slack

Approve without opening a console

The plan arrives in your channel with its steps and which of them need a decision. Approve or reject it there, or @mention Nova in the thread to ask why first.

See Nova in Slack

Astro Platform

The runtime that does the holding

Scope, blast radius and rollback target are decided by the runtime rather than asked of the model, because it reads clusters, rollouts, cost and audit as first-party state.

See Astro Platform

skills & integrations

The skills Nova ships with today

Ten skills today, plus any MCP server you bring — each one scoped, policy checked and audited.

  • Astropulse PlatformConnected

    Manage Kubernetes clusters, deploy apps, and analyze infrastructure.

  • HelmConnected

    Create and manage Helm charts for Kubernetes. Five actions.

  • TerraformConnected

    Look up provider docs, verified modules, versions and policies.

  • AWSConnected

    Calculate service costs and pricing estimates.

  • Google CloudConnected

    Calculate service costs and pricing estimates.

  • Microsoft AzureConnected

    Calculate service costs and pricing estimates.

  • GitHubAvailable

    Manage repositories, pull requests and workflows.

  • SlackAvailable

    Chat with Nova directly in Slack.

  • DatadogEnterprise

    Connect logs, metrics, monitors, incidents and dashboards.

  • Operational MemoryEnterprise

    Connect your runbooks, internal docs and postmortems.

Core skills

Connect in one click.

Authenticate once and the skill is Nova's to use — every action scoped to what you granted, policy checked, and written to an audit trail.

One-click connect · governed actions · per-tenant isolation · full audit trail

Custom MCP servers

Bring any MCP server.

Paste an MCP server URL, add a bearer token or API key, and Nova discovers its tools in seconds — indistinguishable from the skills we ship.

Streamable HTTP · bearer or API key · auto tool discovery · first-class skill

how you run nova

Three ways to run Nova

Managed

Recommended

Nova Cloud

Browser, terminal and Slack over one managed backend — start in one, continue in another, same session throughout.

Open Nova Cloud

Self-hosted

Early access

Nova Direct

Docker Compose, with local model execution for when data has to stay inside your boundary.

Open Nova Direct

In your editor

Request preview

Nova Connect

A hosted MCP endpoint for Claude Code, Cursor and VS Code. Add the config and Nova investigates from where you already work.

Open Nova Connect
In the terminal

A full interactive chat in your terminal. Paste logs, ask questions, and pick a prior session back up where you left it.

astroctl
$ astroctl nova
astroctl
$ astroctl nova --continue
astroctl
$ astroctl nova --resume
astroctl
$ astroctl nova sessions list --limit 25

Nova in the AstroPulse system.

Nova is the AI platform engineer. Skills connect it to your systems. Astro Platform is the runtime that unlocks governed production execution.

Launch NovaAstro Platform details