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Deploy a Complete AI Incident Backend on One Neon Branch

The Incident Atlas demo aligns its database, auth, uploaded reports, Function, and AI Gateway with one temporary Neon branch—and explains the branch-isolation and hosting limits to check.
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You can deploy an AI-assisted incident search backend on a disposable Neon child branch by keeping its database, authentication, report files, Function, and AI Gateway configuration together. The tutorial’s Incident Atlas example uses a local React interface and a Neon Function for backend routes; the Function does not host the website.

What the Neon branch contains

Incident Atlas stores incident metadata and a search index in Lakebase Postgres, uses Neon Auth (Managed Better Auth) for operator sign-in, stores source reports in a private Object Storage bucket, exposes API routes through a Neon Function, and calls a configured model through Neon AI Gateway. The React UI runs locally in the demo.

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This is a collection of backend primitives, not a single bundled backend service. Neon VP Product Bryan Clark described that distinction in the September 17, 2026 GA announcement: “When we say ‘we’re building backends’, we think of ‘backend’ as a set of solid primitives an agent can call, not a bundle of managed services behind one bill.” He added, “The distinction is deliberate.” Neon’s GA announcement identifies Lakebase Postgres, Object Storage, Functions, Managed Better Auth, and AI Gateway as the five primitives.

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How to deploy the demo

The tutorial’s four commands manage the full temporary environment. Its bring-up script creates a timestamped child branch, provisions the backend components, and configures local authentication. Use the tutorial’s setup and scripts rather than treating these commands as generic Neon CLI commands.

  1. Run npm run demo:up. The script creates an incident-atlas-demo-... child branch with a six-hour expiry; applies Auth, a private bucket, a Function, and AI Gateway; registers localhost as an Auth domain; and installs Lakebase Search’s lakebase_text extension, a table, and a BM25 index. Its Neon configuration is in neon.ts, and its CLI flow is plan then apply.

  2. Run npm run demo:test to exercise the protected API, uploads, enrichment, search, and cleanup checks described below.

  3. Run npm run demo:open to open the local UI and use the incident workflow.

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  4. Run npm run demo:down when finished to remove the temporary branch and its backend resources.

The tutorial reports a validated run in AWS US East (Ohio), region ID aws-us-east-2, and says Frankfurt also supported the complete backend at its publication on September 24, 2026. That is a publication-time setup, not a guarantee of current regional availability. Check Neon’s Functions documentation for current region support before choosing a deployment location.

In the tutorial’s configuration, Functions, Object Storage, and AI Gateway use top-level declarations because the tutorial says they had reached GA by publication. An older preview configuration shape is described as a deprecated compatibility path.

What the backend routes do

The deployed service is a Neon Function displayed as “Incident Atlas”; “One Function” is not a separate Neon product. The example exposes seven routes. /health is public for release checks, while the other six require a valid JWT.

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Authentication and ownership

The browser obtains a bearer token from Neon Auth for protected requests. The Function validates the token’s signature and issuer against the branch’s Auth JWKS. It derives the owner identity from the verified JWT subject, sets that identity transaction-locally, and uses forced row-level security with an owner policy. The example also places the owner namespace in object paths.

Private report uploads

Reports travel directly from the browser to private Object Storage using a short-lived signed URL. Before creating a queued database record, the Function checks that the object belongs to the authenticated user’s namespace, that the expected byte count matches, and that the content type is allowed. In this demo, reports are capped at 32 KiB and the accepted types are Markdown, plain text, or JSON.

Search and model answers

Lakebase Search uses the lakebase_text extension and lakebase_bm25 index access method to rank a generated text column combining incident title, AI-generated summary, and original report. The Ask route passes at most four ranked reports to the model and requires inline citations to the supplied excerpts. It treats report text as untrusted input. These are implementation details of the tutorial, not evidence of comparative search quality.

AI Gateway credentials and raw model requests remain behind the Function rather than being sent to the browser. Keep that server-side boundary when adapting the pattern: a browser-facing interface should not receive model credentials.

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Branch isolation: what a child branch inherits

A normal Neon child branch is disposable, but it is not necessarily empty: it initially exposes the parent’s schema and rows through copy-on-write storage. Writes made in the child are isolated from the parent, but inherited data can still be visible in the preview. If sensitive rows must not flow into a preview, use schema-only branching instead. See Neon’s branching documentation.

Aligning backend components on the same branch makes the preview lifecycle easier to manage, but does not make every setting or permission safe automatically. Review branch inheritance, access permissions, secrets, retention, and workload requirements for your own deployment.

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What this architecture is—and is not—for

Neon Functions are backend compute

Neon’s Functions run JavaScript or TypeScript on Node.js 24 in the same region as their branch, according to documentation updated October 2, 2026. They can return JSON, streams, server-sent events, or WebSocket upgrades, and can run on cron or object-upload triggers. They do not host websites, so host the React UI separately. See the Functions overview.

Use a queue for independently retryable work

Functions respond to requests and can handle the event triggers described above, but Neon does not position them as a general-purpose queue for independently retryable jobs. If incident processing needs durable retries or a separate workflow lifecycle, use a queue or workflow engine rather than relying on the request/response Function alone. See Neon’s Functions guidance.

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Allowances and regional availability can change

Neon’s September 17, 2026 GA announcement listed these Free Plan figures. They are vendor-published plan allowances from that date, not a promise that current limits or pricing remain unchanged.

Free Plan item Allowance stated by Neon on September 17, 2026
Projects 100 projects
Lakebase Postgres 100 CU-hours and 0.5 GB database storage per project; 10 branches per project
Object Storage 5 GB per project
Functions 10 active Capacity-Hours, 400 waiting Capacity-Hours, and 1 million invocations per project per month
Managed Better Auth Up to 60,000 monthly active users

Check Neon’s pricing page for current allowances and metered use. The Functions documentation updated October 2, 2026 listed AWS US East (Ohio), AWS US East (N. Virginia), AWS Europe (Frankfurt), and AWS Asia Pacific (Singapore) as supported regions, with expansion planned; verify the current list before deployment.

What the tutorial’s smoke test establishes

The tutorial reports a live smoke test against a deployed temporary branch. It checks the protected route and JWT verification, private upload behavior, idempotent confirmation, model enrichment, a search excerpt, a cited answer, and removal of both the database row and stored object. This supports the claim that the demonstrated workflow was exercised end to end; it is not an independent performance benchmark or evidence of an incident-response outcome.

Before using the pattern beyond a demo, adapt validation and retention to your report formats and threat model, decide whether inherited branch data is acceptable, and verify that the selected plan, region, and service limits fit the workload.

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