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AWS Serverless API Deployment

Lambda behind API Gateway, with the database connections and the failure paths thought through.

Price and scope

From $549

Typically $549–$1,599, fixed in writing before anything starts.

3–7 days
Working days, counted from the moment I have access — not from the day you agree.

What moves it up

  • More than about ten endpoints, where routing and shared code stop being trivial
  • Authentication and authorisation, especially against an existing identity provider
  • Functions attached to a VPC, which changes both networking and cold-start behaviour
Two hundred functions against eighty-seven connectionsAPI Gateway invoking Lambda, which scales to two hundred concurrent executions, each opening its own connection to an RDS instance configured to accept eighty-seven.API Gateway29s, whatever Lambda saysLambda200 concurrentRDSmax_connections 87200 connectionsone connection per invocation, and nothing pooling them
AWS Serverless API Deployment

What actually goes wrong

Serverless fails in a way that looks like success right up until traffic arrives. A function that talks to RDS opens a connection per invocation, so an API that scales to two hundred concurrent executions opens two hundred connections to a database configured for eighty-seven, and the errors that follow look like database problems rather than architecture ones. Alongside that, API Gateway gives up at twenty-nine seconds regardless of the fifteen-minute timeout on the function behind it, and an async invocation that fails with no dead-letter queue simply disappears.

How I find it

  • aws lambda get-function-configuration --query '[Timeout,MemorySize,VpcConfig]'
  • SELECT count(*) FROM pg_stat_activity, sampled while the API is under load rather than idle
  • CloudWatch metrics for Throttles and ConcurrentExecutions against the account limit
  • aws lambda get-function-event-invoke-config — whether a failed async invoke goes anywhere at all

What you get

  • Functions and routes defined as code, deployable from a clean checkout
  • Database access through RDS Proxy or an equivalent, so connections survive scaling
  • Timeouts that agree with each other across API Gateway, the function and any client
  • A dead-letter queue on every async path, so a failure is visible rather than silent
  • Structured logging and X-Ray tracing, with alarms on error rate and throttles

Questions

Are cold starts going to be a problem for me?

Usually less than people expect, and when they do bite it is often because the function is VPC-attached or the package is large rather than because Lambda is slow. Both are fixable. If the workload genuinely cannot tolerate any variance, provisioned concurrency exists and it costs money — I will tell you which situation you are in.

Will this be cheaper than a server?

At low and spiky traffic, dramatically. At steady high traffic, often not — there is a crossover point and it is worth knowing which side of it you are on before you commit to the architecture rather than after.

Can serverless work with a normal SQL database?

Yes, with connection pooling in front of it. Without that it is the single most common way a serverless API falls over under load, and it is the first thing this work addresses rather than an optimisation left for later.

How do I run this locally while developing?

With SAM or a similar local emulator for the function and the API layer, and real AWS services for anything stateful. Emulating the whole cloud locally is a rabbit hole that produces an environment which agrees with nothing.

Want this done?

Tell me what you are running and I will come back with a fixed price and a date. If it turns out you do not need this, I will say that instead.

Prefer to talk? Book a free call ↗  ·  Or hire me on Upwork ↗  ·  Typical reply within one business day.

When I answer

Sunday to Thursday, 09:00–18:00 EET. Outside that I will still look, but I will not promise a time.

No 24/7 desk, and I will not pretend otherwise

One person, one time zone. If round-the-clock cover is what you need, you need a team, and I will say so rather than sell you a plan that cannot deliver it.

Your AWS bill stays yours

You pay Amazon directly and you keep control of the account. Nothing here resells your infrastructure or sits between you and your own billing.

A price that starts with "from" is a starting price

Every service page lists exactly what pushes a quote above it, before you ask. You get a fixed number in writing before any work begins.