Platform engineering consulting

Give engineers one supported path from repository to production

Reduce repeated pipeline work, slow environment setup and release inconsistency with one supported path for common services. Delivery is available remotely across Ireland and on-site in Dublin by agreement.

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Assess

Map developer friction, pipeline duplication, environment lead time, ownership and the highest-value path to standardise.

Build

Implement reusable repository, CI/CD, deployment, configuration and observability patterns with a real application team.

Hand over

Document ownership, support, change control and the backlog so your internal team can run and improve the platform.

Good fit

Product teams copy and maintain similar pipelines in many repositories.
New services take too long to reach a working development or test environment.
Release, secret and observability conventions differ by team.
A small platform team needs a bounded first roadmap, not a portal-first programme.

Typical outputs

Current-state delivery map, platform product scope, first paved-path implementation, adoption measures, ownership model, runbook and prioritised backlog. Scope can stop after assessment or continue through implementation.

Start with one painful developer journey, not an internal portal

Platform engineering is useful when product teams repeatedly solve the same delivery problem: creating a service, obtaining an environment, configuring CI/CD, deploying safely or adding the telemetry expected in production. The first platform decision should identify that repeated journey and the team responsible for supporting it.

A paved path is a versioned, documented and supported way to complete a common task. It can include a repository template, reusable workflows, infrastructure modules, environment configuration, deployment controls, observability defaults and runbooks. It does not need to begin with a new portal, a large Kubernetes programme or a mandate that every workload use the same design.

Adoption is the test. The path is piloted with a real product team, and feedback is captured through setup time, support demand, deployment behaviour and developer use. Escape hatches remain visible for workloads that do not fit. This keeps the platform a product engineers choose because it helps, rather than another standard they work around.

Outcomes the engagement is designed to produce

A bounded platform product

Define the first user group, problem, supported path, owner, service boundary and success measures before building a broad catalogue.

Faster service and environment setup

Automate the repeated repository, pipeline, configuration and infrastructure steps that consume engineering time and create drift.

Consistent delivery controls

Provide reusable build, security, promotion, deployment, observability and rollback defaults for common workloads.

An adoption-led roadmap

Prioritise the backlog from developer use, support demand and measurable friction instead of an infrastructure feature list.

How the work runs

Phase 1

Research

Interview product and platform engineers, map one developer journey and identify repeated delay, risk and support work.

Phase 2

Define

Set the user group, platform boundary, interfaces, ownership, measures and explicit escape hatches.

Phase 3

Pilot

Build the smallest complete paved path with one willing application team and production-relevant controls.

Phase 4

Adopt

Document, support and measure the path, then prioritise improvements and additional workload patterns.

Concrete deliverables

The exact list is agreed before access begins. A typical engagement produces:

Developer journey and friction map based on interviews and delivery evidence.
Platform product definition with users, scope, ownership and support boundary.
First paved-path design covering repository, CI/CD, environments and operations.
Implemented pilot with a representative service and acceptance evidence.
Adoption, lead-time, reliability and support-demand measurement plan.
Documentation, runbook, decision records and prioritised product backlog.

Good fit

Multiple teams copy similar pipeline, environment or observability work.
A small platform function needs to choose the first useful product boundary.
Developers wait for specialist help to perform common delivery tasks.
The organisation wants a pilot that proves value before a wider programme.

Not the right fit

The primary goal is to purchase or build a portal before identifying a user problem.
Every workload must adopt one path with no exception or feedback mechanism.
The programme has no accountable product owner or capacity to support what is built.
Success is defined only as infrastructure created, not developer or delivery outcomes.

Frequently asked questions

Does platform engineering require Kubernetes?

No. A platform is the supported capabilities and operating model offered to internal users. It may use Kubernetes, cloud services or simpler deployment targets depending on the workloads and team.

Do we need an internal developer portal?

Not necessarily. A repository template, versioned workflows, documentation and service catalogue may solve the first problem. A portal becomes useful when it improves discovery or self-service enough to justify its ownership cost.

How is platform value measured?

Measures should follow the selected journey: time to first deploy, environment lead time, adoption, support demand, deployment failure or recovery. The starting baseline and data limits are recorded.

Can you help an existing platform team?

Yes. The engagement can focus on developer research, one missing paved path, CI/CD standardisation, adoption problems, ownership or a technical implementation the internal team lacks capacity to complete.