Why Startups Should Skip AWS and Start on PandaStack

# Why Startups Should Skip AWS and Start on PandaStack

There's a moment in every startup's life when someone suggests "we should just use AWS." It sounds responsible. It's what serious companies use. It's infinitely flexible.

It's also, for most early-stage teams, completely the wrong call.

What AWS Actually Costs You (Beyond the Bill)

AWS pricing is notoriously hard to predict. But the bigger cost isn't money — it's attention.

Setting up a production-ready environment on AWS means:

• IAM roles and policies for every service
• VPC configuration (subnets, security groups, route tables)
• ECS task definitions or EKS cluster management
• RDS instance setup, parameter groups, subnet groups
• ALB configuration, target groups, listener rules
• CloudWatch log groups and retention policies
• ACM certificates and Route 53 records

Before you've deployed a single line of your actual product, you've spent days on infrastructure. For a 5-person startup, those are days you're not building features.

The PaaS Tradeoff

Platforms like PandaStack abstract all of that. You push code, you get a running app with HTTPS, logging, and a database. The tradeoff is that you have less control over the underlying infrastructure.

For most startups, that's a great deal. You're not optimizing infrastructure — you're trying to find product-market fit. The fastest path to your first 1,000 users is not a perfectly tuned AWS setup.

When to Start on PandaStack

The answer is almost always "from the beginning." PandaStack handles:

• Container deployments (your API, your workers)
• Managed PostgreSQL, MySQL, Redis, MongoDB
• Scheduled cronjobs (data sync, emails, reports)
• Static site hosting (landing page, docs)
• Custom domains with automatic HTTPS

That covers 90% of what early-stage startups need.

When to Eventually Move to AWS

There are real reasons to move to AWS eventually:

• You need services with no PaaS equivalent (ML training on GPUs, IoT, custom CDN rules)
• You're at a scale where compute unit economics matter more than developer time
• Compliance requirements demand fine-grained infrastructure control

None of these apply at $0 in revenue or even $1M ARR for most B2B SaaS companies.

The Math

Time is a startup's scarcest resource. Spending it on Kubernetes YAML and IAM debugging instead of customer development is a choice that compounds badly.

The Migration Question

"But won't migrating away later be painful?"

Yes, a little. But:

1. 1Most startups don't get to the scale where the migration is needed
2. 2If you do, it means you have the engineering headcount to handle it
3. 3The time you saved early on funded the engineers who'll do the migration

Start with the tool that lets you ship fastest. Optimize infrastructure when infrastructure is actually your bottleneck.

Get started at [dashboard.pandastack.io](https://dashboard.pandastack.io).