Infrastructure, CI/CD & secure cloud delivery Two Red Kites

Use cases

Growing past a single server means someone has to own security, uptime and releases, but hiring a dedicated platform team is a large fixed cost most companies can't justify early. Without it, deploys are manual and risky, security gaps go unnoticed, and every incident becomes a fire drill for whoever's available.

Early-stage team shipping from one server

A small software team ships from a single server and shares production credentials over chat whenever someone needs to deploy. There's no review before a release goes live, and nobody's documented the setup. We would build a secure, documented single-server environment with the database off the public internet, deploys gated behind review, and secrets held centrally.
Scale-up outgrowing its original setup

A growing platform has outgrown a single server but its infrastructure was never written down, so scaling it means guessing what changed last time. Traffic spikes and security get handled reactively, if at all. We would move it onto a load-balanced, auto-scaling setup defined entirely as code, with a firewall and network monitoring in place from day one.
Company running several apps on one account

A company running several apps under one cloud account rebuilds the shared networking and security setup from scratch every time it launches a new one. Each product means re-provisioning the same load balancer and database groundwork by hand. We would give every new app its own database on shared, already-secured infrastructure, so launching one takes hours, not a fresh project.

See it in practice: Helix, Compass

What we build

Tiered cloud infrastructure that matches your stage, from a single secure server through to a fully load-balanced, auto-scaling setup.
Databases placed in a private network, not exposed to the public internet.
Security monitoring and a web application firewall on larger setups.
Automated deployment pipelines with a review-and-approve step before anything reaches production.
Secrets and credentials managed centrally instead of copied between machines and scripts.
Infrastructure defined as code so environments can be rebuilt or replicated reliably.

How it works

We provision infrastructure as versioned, reviewable code and wire it to an automated release pipeline so deploys become routine instead of risky. Security defaults (network isolation, logging, encrypted secrets) are built in from the first environment rather than retrofitted later.

What you get

Reliable, automatic releases without a dedicated platform team.
A secure setup by default, not bolted on after an incident.
Infrastructure that scales with the business instead of needing a rebuild.
Faster recovery when something goes wrong, because environments are reproducible.
Lower operational overhead for small engineering teams.

Is this you?

Deploys are manual, nerve-wracking, or only one person knows how to do them.
You don't know if your database is reachable from the public internet.
You're paying for infrastructure sized for a scale you haven't reached, or you've outgrown what you have.
Secrets and credentials live in chat messages, shared docs, or personal machines.

Services & tools we’ve used

OpenTofuAWSGitLab CI/CD1PasswordTerraformCloudflare

Where we’ve applied it

Any software teamStartupsScale-ups

Proof

We've delivered secure infrastructure and automated releases across a wide range of engagements, from single-tenant hosting through to multi-brand, multi-environment cloud platforms, including the tooling we run our own delivery on.

Infrastructure, CI/CD & secure cloud delivery

Use cases

Early-stage team shipping from one server

Scale-up outgrowing its original setup

Company running several apps on one account