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Control board feeding standardized deployment tiles built by platform engineering services

Platform Engineering Services

A paved path to production your product teams take because it is the fastest route, with guardrails built into the tooling. Hygge's platform engineering work starts by measuring what a team goes through today to ship one service.

What Platform Engineering Services Build Into a Platform

The parts that decide whether a platform gets adopted or becomes a second thing to work around. Hygge scopes which your teams need after watching them ship.

Service Templates

A new service starts from a working template with logging, health checks, CI, and deployment already wired. The first commit lands in a repository that is already in production shape.

Self-Service Environments

Developers provision what they need through a defined interface, within limits the platform enforces. Internal developer platform work removes the ticket that used to sit between a team and a database.

Golden Paths

One recommended way to do each common thing, documented and supported, so a team choosing the standard route gets the most help.

Guardrails in the Tooling

Standards enforced by the pipeline: security scanning, resource limits, tagging, and access policy. Platform engineering services put the rules inside the pipeline, where every build meets them.

Kubernetes and Runtime

The orchestration layer where the workload justifies it, sized and operated so teams deploy without learning it. Kubernetes consulting covers whether it belongs in your case at all.

Service Catalogue

One place listing what exists, who owns it, and how to call it, so a team finds the service that already solves their problem. An internal developer platform earns most of its adoption here.

What a Developer Experience Audit Settles

Hygge opens with an audit that follows one team shipping one service end to end. Platform engineering consulting that starts from a reference architecture builds a platform for a company that does not exist.

The audit produces each of these:

  • Time from a new repository to a service running in production, measured on a real attempt.
  • Every ticket a developer has to file, and who has to answer each one.
  • What each team has rebuilt separately because nothing shared existed.
  • Whether a platform team is justified at your size, and what it would own.
  • Fixed scope and price for phase one, agreed before anything gets built.
What a Developer Experience Audit Settles

What Sends an Organisation to Build a Platform

The situations behind most enquiries Hygge scopes.

Every team solved the same problem their own way, and a new service takes two weeks of setup. Platform engineering gives them one paved path to production. The audit collects what each team built so the platform starts from real use.

Every Team Solved the Same Problem Differently

Four teams, four ways of doing logging, four deployment approaches. Moving an engineer between them costs weeks, and fixing anything centrally means fixing it four times.

A New Service Takes Two Weeks to Stand Up

Most of that is copying configuration from another repository and filing tickets for infrastructure. The actual code takes an afternoon.

Standards Live in a Document Nobody Opens

There is a wiki page describing how things should be done. Compliance depends on whether the reviewer remembers it that day.

The Infrastructure Team Became a Queue

Every environment, database, and permission change waits behind the same three people. They are working hard, and the queue keeps growing.

The Last Platform Nobody Used

A previous internal platform was built without asking the teams, mandated, and quietly routed around. The organisation is wary of a second attempt.

How We Build an Internal Platform

From watching one team ship to a platform other teams choose, with adoption measured at every stage. This is how platform engineering services run at Hygge.

  1. Developer Experience Audit

    Three weeks following real teams through real work, ending in a measured baseline, a scope, and an exact price.

  2. Pick the First Pain

    The single step costing the most time across teams gets solved first, which is what earns the platform its first users.

  3. Build With a Pilot Team

    One team uses the platform while it is being built, so the interface is shaped by people who have to live with it. Kubernetes consulting and runtime choices get tested against that team's real work.

  4. Make It the Fastest Route

    Templates, documentation, and support that make the standard path the quickest one, which is what adoption depends on.

  5. Hand the Platform Over

    Ownership, runbooks, and a support model for your own platform team, along with the measurements that show whether it is still earning its keep.

What Changes Once the Path Is Paved

A new service ships on day one, on a path the whole company already trusts. Standards stop living in a document nobody opens, because the platform applies them by default. Platform engineering and SRE services overlap in practice: the first builds the path to production, the second decides what happens when it breaks at three in the morning. Kubernetes services sit under both, once the workload justifies the operational cost.

What Changes Once the Path Is Paved

What Platform Engineering Gives Back

Every number here is agreed with you before work starts, then measured against how things run today.

1 day
For a new service to go from empty repository to running in production
80 %
Fewer tickets to the infrastructure team for routine work
3 x
More shipping time per engineer, from hours that used to go on environments
100 %
Environments created from templates your developers run themselves

Where Shared Tooling Starts Saving Real Money

Sectors where enough teams ship that each one rebuilding the same pipeline is a visible cost.

Retail & E-Commerce

Retail & E-Commerce

Retail groups running storefront, fulfillment, and merchandising teams that each deploy on their own schedule.

See the work
Media & Entertainment

Media & Entertainment

Media organizations with catalog, playback, and rights teams sharing one delivery estate.

See the work
Sales & Marketing Technology

Sales & Marketing Technology

Revenue orgs where several squads integrate against the same CRM and step on each other.

See the work
Healthcare & Staffing

Healthcare & Staffing

Health platforms where every new service inherits the same access and audit requirements.

See the work
Logistics & Warehouse Automation

Logistics & Warehouse Automation

Logistics groups rolling the same software to sites that each have local differences.

See the work
EdTech

EdTech

Education platforms where course, assessment, and reporting teams release independently.

See the work
Real Estate & PropTech

Real Estate & PropTech

Property groups running portal, agency, and consumer products off shared services.

See the work
Aviation

Aviation

Aviation operators where every deployment has to pass the same approval gate.

See the work

Platforms Teams Chose to Use

Platform engineering services delivered and handed to internal teams.

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EdTech

Country Navigator

A decade-old monolith serving enterprise customers, rebuilt into services and given a production AI assistant, with the user base migrated without downtime.

  • 0Downtime moving a decade-old platform
  • 1 configReplaces the SSO setup only one person knew
  • 10 yearsOf monolith rebuilt into services
Read the case

What You Get From the Audit

A measured time from new repository to production, every ticket a developer has to file with its owner, an inventory of what teams rebuilt separately, an answer on whether a platform team is justified at your size, and an exact price for phase one. Platform engineering consulting that starts from your own teams.

Kubernetes Services and the Stack We Build On

Chosen against your workloads, your team size, and what your own platform people will operate.

The layer that schedules workloads, restarts what fails, and gives every team the same deployment target, so a new service inherits a working setup on day one.

KubernetesKubernetes
DockerDocker
HelmHelm
IstioIstio

Frequently Asked Questions

What engineering leaders ask before investing in platform engineering and kubernetes services.

Question mark iconWhat does a platform engineer do?
A platform engineer builds the internal tooling other engineers ship through: the deployment pipeline, environment provisioning, service templates, observability defaults, secrets handling and the self-service interface that ties them together. The measure of the work is developer throughput, tracked as time from commit to production, days for a new service to reach staging, and how often a product engineer has to open a ticket for infrastructure help.
Question mark iconWhat is the difference between DevOps and platform engineering?
DevOps is a set of practices and a culture: shared ownership of build and run, automation, fast feedback. Platform engineering is a product discipline that delivers those practices as usable internal tooling with a team maintaining it. In practice a DevOps engineer often works embedded with one product team on its pipeline, while a platform team builds paved paths that twenty teams use without asking for help. Platform engineering is how DevOps scales past a few teams.
Question mark iconWhen to use platform engineering?
Once several teams are solving the same infrastructure problems separately, the case is there. Signals: each team maintains its own CI configuration, environments take days to provision, onboarding a service to monitoring is manual, and infrastructure requests queue behind one overloaded person. Below roughly three teams the overhead of a platform exceeds its benefit, and shared templates with good documentation cover the need.
Question mark iconWhat is a platform team?
A platform team owns internal developer tooling as a product, with product engineers as its users. It runs a backlog driven by what slows those users down, publishes its interfaces, supports adoption, and measures success in their delivery metrics. Team size is typically three to six engineers. Authority to mandate adoption is a poor substitute for a platform good enough that teams choose it, which is why platform teams treat internal adoption as the primary signal.
Question mark iconWhat is platform engineering vs DevOps?
They answer different questions. DevOps asks how a team builds, deploys and runs its own software with fast feedback. Platform engineering asks how one team makes that path repeatable for every other team in the company. The tools overlap heavily, containers, CI, infrastructure as code, observability. The difference is ownership: DevOps distributes the responsibility across teams, platform engineering concentrates the tooling behind a self-service interface with a team accountable for it.
Question mark iconWhat is platform engineering?
Building the shared layer product teams use to ship: templates, environments, pipelines, and the standards enforced by tooling. The measure of success is how much faster a team gets a service into production, and whether they choose the platform without being told to.
Question mark iconHow is it different from DevOps?
DevOps work improves how a given team ships. Platform work builds the shared layer several teams use, with an interface and an owner. Organisations usually do the first before the second becomes worth funding, and the audit says which stage you are at.
Question mark iconWhen does a team need an internal platform?
When several teams rebuild the same setup work often enough for the duplicated effort to show up in delivery time. The audit counts what each team built separately and puts a number against it, so the decision rests on that figure.
Question mark iconDo we need Kubernetes for this?
Often no. A platform can sit on managed services and serverless where the workload suits them. Kubernetes consulting at Hygge starts with whether the orchestration layer earns the operational cost in your case.
Question mark iconHow long does a platform take to build?
The first useful piece ships in six to eight weeks, solving the single step costing teams the most time. A platform is a product that keeps developing, so the project is scoped in phases with adoption measured at each. Infrastructure as code services underpin every phase, so nothing gets built by hand.
Question mark iconWhat if teams ignore it?
That is the risk the process is designed around. A pilot team uses it while it is built, the standard path is made the fastest one, and adoption is measured. A platform nobody chooses is a platform that missed the pain it was aimed at.
Question mark iconWho maintains it afterwards?
Your own platform team, with ownership, runbooks, a support model, and the measurements that show whether the platform still earns its keep. Hygge stays available for changes where you want that.

From Scattered Setups to One Paved Path

Tell us how many teams you have and what it takes them to stand up a service. You get a measured baseline, a first target, and a price, the way every platform engineering services project at Hygge begins.

Tell Us How Many Teams Ship Independently

Tell Us How Many Teams Ship Independently

Share the number of product teams, how each one deploys, and where they keep rebuilding the same thing.

Get a First Consultation

Get a First Consultation

We review your teams, tooling, and deployment paths for anything that would change scope, cost, or timeline.

Receive a Detailed Proposal

Receive a Detailed Proposal

A scoped plan with the approach, timeline, and cost, built around your actual team structure.