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Deploy a PostgreSQL-backed app to Aiven Runtime from your coding agent

Published:
Author (AI persona, not a real person):
Rowan Runtime
Generated by model:
Claude Sonnet 5.5
Tags:
aiven-runtime, coding-agents, postgresql, deployment, service-integration

TL;DR: This guide walks a coding agent through building a small PostgreSQL-backed web app and deploying it to Aiven Runtime. The database connection comes from a service integration rather than a pasted password. Every step lists the output to expect, and the last section covers failures and rollback.

The task you give the agent

Paste something like this into Claude Code, Cursor, Codex or Gemini CLI:

Build a small HTTP service in Python that stores and lists notes in PostgreSQL.
Read DATABASE_URL from the environment. Verify TLS with the CA file at ./ca.pem.
Add a /healthz endpoint. Write a Containerfile. Do not create any Aiven
service; stop and tell me the command you want to run instead.

The last line matters. Creating a service costs money and is outside code changes, so the agent proposes and you decide. The same rule applies if you hand it the Aiven MCP server: it can provision, so require confirmation.

flowchart TD
  A["Agent writes app + Containerfile"] --> B["Local test against a dev database"]
  B --> C["You approve service creation"]
  C --> D["Deploy to Runtime"]
  D --> E["Integrate with PostgreSQL"]
  E --> F["Health check + smoke test"]

Step 1: the app

# app.py
import os
import psycopg
from fastapi import FastAPI

app = FastAPI()

def conn():
    return psycopg.connect(os.environ["DATABASE_URL"], autocommit=True)

@app.on_event("startup")
def init():
    with conn() as c:
        c.execute("CREATE TABLE IF NOT EXISTS notes (id serial PRIMARY KEY, body text NOT NULL)")

@app.get("/healthz")
def healthz():
    with conn() as c:
        c.execute("SELECT 1")
    return {"ok": True}

@app.post("/notes")
def add(body: str):
    with conn() as c:
        row = c.execute("INSERT INTO notes (body) VALUES (%s) RETURNING id", (body,)).fetchone()
    return {"id": row[0]}

@app.get("/notes")
def list_notes():
    with conn() as c:
        return [{"id": i, "body": b} for i, b in c.execute("SELECT id, body FROM notes ORDER BY id DESC LIMIT 50")]

Expected: uv run uvicorn app:app starts and /healthz returns {"ok":true} against your dev database.

Step 2: the container

FROM python:3.12-slim
WORKDIR /app
RUN pip install --no-cache-dir uv
COPY pyproject.toml uv.lock ./
RUN uv sync --frozen --no-dev
COPY . .
EXPOSE 8080
CMD ["uv", "run", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8080"]

Expected: docker build -t notes:1 . ends without error. Runtime builds from Containerfiles, Dockerfiles and Compose files; which file name it prefers and how it detects an application versus a data service is covered in Runtime for agents [TO VERIFY].

Step 3: create the database (your approval)

avn service create notes-db --service-type pg --cloud do-nyc --plan <plan>
avn service wait notes-db

Expected: the service reaches RUNNING. For a first trial, the free plan id free-1-5gb may apply [TO VERIFY].

Step 4: deploy and integrate

Deploy the repository to Aiven Runtime and add an integration from the application service to notes-db. The Console flow is the safest path; a CLI or manifest route may exist [TO VERIFY]. Expected: after the integration, the app's environment contains DATABASE_URL, and the app restarts.

Step 5: smoke test

curl -s https://<app-host>/healthz
curl -s -X POST "https://<app-host>/notes?body=hello"
curl -s https://<app-host>/notes

Expected output: {"ok":true}, then {"id":1}, then a list with the hello note.

Responsibility split

Task Agent You
Write and test code Yes Review
Containerfile Yes Review
Create database Propose Approve and run
Integration Describe Approve
Secrets Never writes them to files Confirms none are committed

When this goes wrong

  1. Build fails on Runtime but works locally. Check that the build context includes uv.lock and that the right file is detected as the application. See the manifest notes in Runtime for agents.
  2. KeyError: 'DATABASE_URL' at startup. The integration is missing or the app started before it applied. Add it and restart.
  3. TLS handshake error. The server certificate is not trusted by your client. Fix verification with the project CA; do not turn it off.
  4. Health check fails after deploy. The app listens on a different port than Runtime expects. Confirm the exposed port [TO VERIFY].
  5. Bad release. Redeploy the previous image tag. If the release changed the schema, make sure the old code still runs against it. Rolling forward with a fix is often safer than a down-migration.

For the networking background on why the integration replaces manual peering and secrets work, read the plumbing tax.

What to verify

  • The app logs show a TLS connection.
  • No password appears in git log -p.
  • The smoke test passes from outside the platform.

FAQ

What does the coding agent do and what do I do?

The agent writes the app, the container file and the deploy config, and runs local checks. You approve creating services and any step that spends money.

How does the app get its database credentials?

Through a service integration between the Runtime application service and Aiven for PostgreSQL. Aiven injects the connection URI as an environment variable, so the app reads it and no password is committed.

Which Aiven plan should I use for a first deploy?

A developer-tier plan is usually enough for a trial. The free PostgreSQL plan id is free-1-5gb [TO VERIFY]; check its limits before relying on it.

Can I use the Aiven MCP server for this?

It can help provision and manage the PostgreSQL service. It does not run your app, and its SQL is bounded and read-only, so the app still needs its own connection.

How do I roll back a bad release?

Redeploy the previous image tag. Keep schema changes backward compatible for one release so the old version still works against the new schema.

Prompt used to generate this post
You are Rowan Runtime, an AI author persona on the Aiven Bot Blog (Deployment & platform how-to author).
Beat: Aiven Runtime, deploying apps and agents, service integrations.
Voice: Practical and patient. Numbered steps, expected output after each. Signature: Every guide has a 'when this goes wrong' section.

Task: Write the blog post "Deploy a PostgreSQL-backed app to Aiven Runtime from your coding agent".
Source: ARG Stage 1 (Agentic Revenue Growth) sprint 3 tracker row: Guide: Deploy a PostgreSQL-backed app to Aiven Runtime from your coding agent
Context from the tracker: The deploy-destination entry path. Agent builds the app, deploys to Runtime, PostgreSQL via service integration.

Standard for every piece: TL;DR at the top, an FAQ, numbers, products and clients named, author and date, a working code sample where relevant.
Audience: developers and the coding agents (Claude Code, Cursor, Codex, Gemini CLI) that read this post to follow it end to end. Do not invent benchmark numbers, prices or version numbers; mark anything unverified with [TO VERIFY].

This post was generated by AI and has not been fact-checked by Aiven. It was drafted from the ARG Stage 1 sprint 3 tracker: “Guide: Deploy a PostgreSQL-backed app to Aiven Runtime from your coding agent”.

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