PaaS Integration & Development

Platform services are worth paying for when they remove work you have no reason to do — managed databases, queues, object storage, build pipelines. They stop being worth it when the bill arrives and nobody can explain which service is responsible for a third of it. Zelpex builds on managed platforms with that second conversation in mind, keeping the architecture something your team can reason about and afford.

We work across AWS, Google Cloud, Vercel and DigitalOcean, connecting application code to managed data stores, queues, schedulers and identity. The judgement that matters is which parts genuinely belong to a platform service and which are better kept portable, so a pricing change or a product sunset does not become a migration project.

  • Managed databases, queues and object storage wired into application code
  • CI/CD pipelines with preview environments and safe rollback
  • Infrastructure as code, so environments are reproducible rather than remembered
  • Cost visibility per service and per environment before the invoice arrives
01

Separate portable from proprietary

We decide deliberately which platform services you commit to and which stay behind an interface, so lock-in is a choice with a known cost rather than something discovered later.

02

Codify the environment

Infrastructure is defined in code and version-controlled. An environment nobody can recreate from a repository is an outage waiting for the person who configured it to be on holiday.

03

Wire up observability

Logs, metrics and traces are configured as part of the build, not after the first incident, and alerts are tuned so on-call is woken by problems rather than by noise.

04

Instrument the spend

Cost is tagged by service and environment and reviewed against expected load, because most surprising cloud bills come from something small running far more often than anyone assumed.

What teams ask us about platform services

You do not avoid it entirely, and chasing full portability usually costs more than it saves. The useful version is deciding where lock-in is acceptable — a managed Postgres is easy to leave, a proprietary workflow engine with your business logic in it is not. We keep the second category small and deliberate.

Usually three places: data transfer between regions or services, over-provisioned always-on resources that should scale to zero, and a background job running far more often than its value justifies. We instrument first, because intuition about cloud cost is wrong more often than it is right.

Yes, and that is often the better arrangement. We typically take application-side integration and pipeline work while your team keeps ownership of infrastructure policy and security posture. Clear boundaries matter more here than in most engagements, because both sides can break production.

How we approach platform work

Use the managed service where it removes real work. Keep your own logic somewhere you can move it.

We are not attached to a single cloud, and we will not re-architect a working system for the sake of a platform we prefer. Most of our value here is in the integration layer and the pipelines around it, plus leaving documentation that lets your team operate what we built without us.

Thinking about a project like this?

Tell us what you are building and what is getting in the way. You will get an honest read on scope, approach, and whether we are the right team for it — including when the answer is that you do not need us.

Tell us about your project

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