Base44 Has No SLA — Reduce Outage Risk Until You Migrate

What's happening

You built your business on Base44. The platform goes down. Your app goes down with it. Customers hit a blank screen or an error page. You check the Base44 status page — it still shows green for the first 20 minutes. You check Twitter — other Base44 customers are posting about the same outage.

This happened on February 3, 2026, and on smaller scales repeatedly through 2025. statusgator.com, an independent status aggregator, has tracked Base44's incidents independently of the platform's own page. The pattern is consistent: outages are detected externally before they appear on the platform's status indicator, and post-mortems, when they exist, are sparse.

Here is the core issue. Base44 has no contractual SLA. There is no document at base44.com that says "we guarantee 99.9% uptime measured monthly, with credits if we miss." When the platform is down, you have no recourse. Your refunds, your credits, your compensation: zero, unless the platform team chooses good will.

For a prototype, that is fine. For a business with paying customers, that is unbounded risk.

Why this happens

SLAs are operational commitments, not marketing copy. They require:

• Formal incident response procedures with defined response times.
• Public post-mortems on every significant incident.
• Refund or service-credit obligations tied to uptime measurements.
• Audited monitoring infrastructure so customers can independently verify uptime claims.

Base44 has not committed to these publicly. The platform's pricing is consumer/prosumer (low monthly tiers, credit-based usage), which is structurally hard to pair with enterprise uptime obligations. A platform team that has to refund $10/month customers for outages either ends up with margin destruction or with operational complexity that does not match the price point.

Post-Wix acquisition (June 2025), there was an expectation that enterprise terms might appear. As of May 2026, nothing has shipped publicly. The status page (status.base44.com) is the only signal customers have, and it has been documented to lag real outages by 15-60 minutes.

This is not unique to Base44 — most low-code platforms have similar gaps. But for customers building production businesses on the platform, it changes risk calculus. Outages cost money. Without an SLA, the platform is not financially incentivized to minimize them, and you have no contractual leverage when they happen.

Sources: status.base44.com, statusgator.com/services/base44, feedback.base44.com posts on uptime and customer support, G2/Trustpilot reviews mentioning outage incidents.

How to test your exposure

This is not a reproducible bug — it is a structural condition. The relevant exercises are exposure-mapping, not reproduction.

1. List every customer-facing feature in your app. For each, mark whether it requires Base44's platform to function (most will).
2. List every internal operation you depend on (admin tools, data exports, scheduled jobs). Mark which depend on Base44.
3. Estimate the business cost of a 1-hour outage during business hours and during peak traffic. Translate to dollars.
4. Estimate the business cost of an 8-hour outage during a launch or busy period.
5. If the answer to either step 3 or 4 is more than you can absorb without operational damage, you are over-exposed and need mitigation immediately.
6. Check status.base44.com and statusgator.com/services/base44 for incidents in the last 90 days. Cross-reference the dates with your own customer-support tickets. If you had complaints during platform incidents, those are quantifiable past damage.

Step-by-step fix

You cannot create an SLA where none exists. You can build resilience and you can shorten time-to-detect. Both reduce your exposure.

1. Set up external uptime monitoring

Use BetterStack, UptimeRobot, or Pingdom to ping your app's homepage and 3-5 critical functions every 1-5 minutes. Configure alerts to PagerDuty, Slack, or email. Do not rely on the Base44 status page; it lags real outages.

# BetterStack monitor config (sample)
- url: https://yourapp.base44.app/
  interval: 1m
  timeout: 10s
  alert_after: 2 failures

- url: https://yourapp.base44.app/functions/healthcheck
  method: POST
  body: '{"ping": true}'
  interval: 1m
  timeout: 10s
  alert_after: 2 failures

Now you know within 2-3 minutes when the platform is down, before customers complain.

2. Host a static fallback page off-platform

Buy a $4/month Vercel hobby tier or use Cloudflare Pages. Host a minimal static site at a separate subdomain. Make sure it loads from CDN cache and does not depend on Base44 in any way.

app.yourdomain.com  → Base44 (your real app)
status.yourdomain.com → Vercel (your fallback page)

Set up DNS so that during an outage you can flip a record (or set up automated failover with Cloudflare load balancing) to point app.yourdomain.com at the fallback. The fallback should explain the situation, link to your status updates, and provide contact info.

3. Replicate critical data to an external store hourly

Pick the 1-3 collections that matter most for read availability. Set up an hourly job (a Vercel cron, a GitHub Action, or a small VPS) that reads them from Base44 and writes a JSON snapshot to S3 or a static file. During an outage, your fallback page can display the most recent snapshot.

// vercel-cron/sync-data.ts
import { base44 } from "@base44/sdk";
import { put } from "@vercel/blob";

export default async function handler() {
  const orders = await base44.collection("orders").list({ limit: 1000 });
  await put("snapshots/orders.json", JSON.stringify(orders), { access: "public" });
  return new Response("ok");
}

This will not let customers transact during an outage. It lets them see information, which is often enough to prevent panic and bounce.

4. Document a runbook

Write down, in plain text, exactly what your team does when Base44 goes down. Cover:

• Who detects (the monitor) and who is notified (you, on call).
• Who flips DNS to the fallback page (and how).
• Who posts to your status page (your own — separate from base44's).
• Who handles inbound customer emails and support.
• When you escalate to Base44 support and via what channel.
• Post-incident: what gets logged, what gets reviewed.

Save it in your repo as INCIDENT-RUNBOOK.md. Practice it with your team annually.

5. Maintain a migration plan in writing

Even if you have no plan to migrate today, write a migration plan and update it quarterly. Include the work in the SDK decoupling fix, the target stack you would move to, and a rough timeline. When the platform's reliability degrades — or your business outgrows the platform — you do not want to start the plan from scratch.

6. Negotiate (if you have leverage)

If you are a high-revenue customer or a brand-name customer, ask Base44 for a private SLA in writing. Some platforms offer enterprise terms outside of public pricing. The worst case is they say no. The best case is you get contractual recourse where none was advertised.

DIY vs hire decision

DIY this if: You have an engineer with time, your app is small enough to map manually, and your business can absorb a half-day outage with discomfort but not damage.

Hire help if: Your business has paying customers and revenue at risk during outages, your team is too lean to do incident response, or you are evaluating whether to migrate. Our $497 audit produces a written exposure assessment, a fallback architecture, a runbook, and a migration cost estimate. Most teams use the audit as the input to a board-level decision on whether to migrate, when, and at what budget.

Need an exposure assessment?

Our $497 audit reviews your platform exposure, designs the fallback architecture, writes your incident runbook, and gives you a written migration cost estimate suitable for stakeholder review. Five business days, fixed price.

Order an exposure audit

Related problems

• Functions stop working after a few hours — the most common form of partial outage you'll see day to day.
• Vendor lock-in via SDK dependency — the migration prerequisite you do before reliability forces your hand.
• Customer support is non-existent — the operational reality that makes outage handling worse.