Platform engineering
Build the golden path, not forty bespoke ones
What is platform engineering with DevOpsArk?
Platform engineering with DevOpsArk means giving product teams a paved path: self-service clusters and environments, shared delivery templates, a service catalogue derived from live infrastructure, and standards that are measured rather than documented.
What this solution addresses
- Every team invents its own delivery arrangement, and the platform team supports all of them.
- Self-service means filing a ticket and waiting.
- Standards live in a wiki that nobody reads and nothing enforces.
- The service catalogue is out of date the week it is written.
- The platform team cannot show what its work improved.
Templates are referenced, not copied, so a platform change ships once.
Clusters and container workloads without a ticket queue.
Scorecards turn "we should all do this" into a number per service.
Stage by stage, with the modules that deliver each one
Every stage links to the modules that implement it, so the path from outcome to capability is explicit.
Keep the catalogue true
A service inventory derived from what is actually running, with ownership and dependencies.
Show the improvement
Delivery, infrastructure, testing and experience tracked over time.
Everything involved in this solution
Pipelines
CI/CD pipelines with policy and provenance
ArkApps
Application inventory and lifecycle
DMK8S
DevOpsArk managed Kubernetes
CaaS
Containers as a service
360 DITE
Delivery, infrastructure, testing and experience in one score
ArkCD
Continuous delivery and progressive rollout
Platform engineering: frequently asked questions
Platform engineering is the discipline of building internal products that make it easy for product teams to build, ship and operate software: a paved path with self-service, sensible defaults and guardrails, rather than a ticket queue.
A golden path is the supported, opinionated way to do something (create a service, deploy to production, get an environment) that is easier to follow than to avoid. It works when it is genuinely the path of least resistance, not when it is mandated.
It provides much of what an IDP is expected to deliver: self-service provisioning, shared delivery templates, a live service catalogue, scorecards and golden paths. It differs in being populated from live infrastructure rather than from manifests teams maintain.
Through adoption of the paved path, standards scorecards, and the delivery and experience dimensions of 360 DITE: pipeline duration, environment availability, flaky test rate and change lead time.
The discipline starts paying off somewhere around the point where several teams ship independently and no single person can hold the estate in their head. Below that a smaller subset (shared templates and a catalogue) is usually enough.
Background on this topic
DevOps platform or toolchain? An honest comparison
The real trade-off between assembling best-of-breed tools and adopting an integrated platform, including the costs of each that vendors on both sides tend not to mention.
DevOps automation: what to automate, in what order
A practical sequence for automating a delivery path, which step gives the most back first, which automation tends to be regretted, and how to tell when a stage is genuinely done.
What is DevOps? A definition that survives contact with practice
What DevOps actually means, where the definition came from, what the lifecycle looks like in practice, and the common misreadings that turn it into a job title instead of a way of working.
Talk through platform engineering for your estate
A 30-minute conversation with a platform engineer about what you have and what would actually change.