Give your developers a platform — we'll run it.
CI/CD pipelines, GitOps, managed Kubernetes, infrastructure as code and observability, built into one internal developer platform and operated for you inside the EU. Your team ships on a paved road; we keep the road open, fast and safe.
Managed DevOps and platform engineering is the practice of building and operating the platform your developers ship software on — the CI/CD pipelines, GitOps workflow, managed Kubernetes, infrastructure as code and observability — and packaging it as an internal developer platform so teams can deliver safely without each becoming an infrastructure expert. Platform engineering is the evolution of DevOps: rather than asking every developer to own everything, a platform team paves golden paths with the security, policy and cost controls already built in. Argus Root builds that platform on open, vendor-neutral foundations and runs it for you inside the EU, with the resilience and the audit trail operating it properly requires.
In short
- Platform engineering is the evolution of DevOps — a dedicated team builds an internal developer platform (IDP) of self-service golden paths; Gartner expected 80% of software organisations to have platform-engineering teams by 2026.
- The market reflects it: DevOps from ~$19.6B (2026) toward ~$51.4B (2031), and platform engineering / IDP tooling from ~$10.4B toward ~$31.6B.
- GitOps — Git as the single source of truth, reconciled by Argo CD or Flux — cuts configuration errors by roughly 70–80% and makes every change a reviewed, reversible commit.
- Progress is measured by the four DORA delivery metrics (deployment frequency, lead time, change-failure rate, time to restore) — the DevOps Research and Assessment framework, not the EU financial regulation of the same acronym.
- We absorb managed Kubernetes, IaC/Terraform and observability into one operated platform, on the open CNCF stack, run inside the EU.
What is platform engineering, and how is it different from DevOps?
DevOps began as a corrective to a wall between development and operations: share the ownership, automate the delivery, and let the people who write the software help run it. It worked, and then it overshot. "You build it, you run it" quietly asked every developer to also be an expert in Kubernetes, networking, cloud security and a dozen pipelines, and the cognitive load of that became its own drag on delivery. Platform engineering is the industry's answer to the overshoot.
The idea is to give developers a platform instead of a pile of tools. A dedicated platform team builds an internal developer platform — a self-service layer with golden paths, the opinionated and pre-approved ways to do the common things — and bakes the security, policy and cost controls into those paths. The developer provisions an environment or ships a service through the platform without filing a ticket or learning the full depth underneath, and because the paved path is the safe path, doing the fast thing and doing the right thing become the same action. Gartner expected eighty percent of software engineering organisations to have platform teams by 2026 for exactly this reason.
The distinction matters because it changes what you are buying. Hiring a DevOps engineer gives you a person to run pipelines. Building a platform multiplies what every developer can do and gives the business a delivery capability that does not depend on a handful of heroes. Our role is to build and operate that platform, so you get the capability without first having to assemble and retain a scarce platform team of your own.
Why the platform appeared — and what it looks like.
The growth numbers track the shift. The DevOps market is heading from roughly nineteen and a half billion dollars in 2026 toward fifty-one billion by 2031, and the narrower category of platform-engineering and internal-developer-platform tooling from around ten billion toward thirty-one billion over the same span. That is not a fashion; it is organisations discovering that the bottleneck moved. Once delivery was automated, the constraint became the cognitive load on developers and the inconsistency of fifty teams each solving infrastructure their own way. A platform paves one good way and lets everyone use it.
What the picture shows is that the individual pieces are not new; the discipline is in making them one operated whole rather than six tools a team wires together and then babysits. The rest of this page walks the layers we run — managed Kubernetes, infrastructure as code and GitOps, the delivery metrics, and observability — and how they fit into a single platform we operate for you.
What does a managed Kubernetes service actually include?
The honest answer starts with a distinction: a cloud platform gives you the tools, a managed service takes responsibility for the result. Running Kubernetes well is a continuous job, not a one-time install, and it is where many teams stall. A managed service covers the control plane and its upgrades, autoscaling of worker nodes against real demand, the networking and storage integration that lets workloads talk to databases and object stores, native observability wired in from the start, and the security guardrails — role-based access control, pod security, encryption — that turn a cluster from a liability into safe infrastructure. Cost control through right-sizing runs alongside, because container estates are notorious for quiet overspend, and the whole thing is operated by engineers around the clock rather than through a ticket queue with a next-day SLA.
The judgement that matters most, though, is whether you need Kubernetes at all. It is the right tool for many workloads and overkill for plenty of others; a handful of services rarely justifies its complexity. We design the platform around what you actually run and reach for Kubernetes where it earns its place, not as a reflex. Several strong European operators have shown how good a managed, turnkey Kubernetes platform can be, and we hold ourselves to that standard while staying honest about when a simpler answer serves you better.
Infrastructure as code and GitOps: the engine room.
Underneath a good platform, two practices do the heavy lifting. Infrastructure as code defines your servers, networks and services in declarative, reviewed, version-controlled code — Terraform or its open fork OpenTofu — so an environment can be rebuilt identically and a change can be planned and inspected before it is ever applied. GitOps then makes a Git repository the single source of truth: the desired state lives in version control, and an agent such as Argo CD or Flux continuously reconciles the running system to match it. The combination turns infrastructure into something reviewed like software and reconciled automatically, rather than configured by hand and quietly drifting.
The payoff is both safety and proof. Because every change is a reviewed commit, you get a complete audit trail, rollback is a matter of reverting, and the error rate drops sharply — teams adopting GitOps report configuration mistakes down by roughly seventy to eighty percent. For a regulated organisation, that auditability is not a side benefit; it is much of the point, because it answers who changed what, when and with whose approval as a property of the system rather than a reconstruction after the fact. The commands below show the shape of a GitOps change: plan the infrastructure, reconcile the cluster to the committed state, confirm what is running.
# Git is the source of truth; the agent reconciles reality to match it $ terraform plan -out tfplan Plan: 3 to add, 1 to change, 0 to destroy. $ argocd app sync eu-prod --prune ← reconcile cluster to Git desired state eu-prod Synced Healthy revision a1b9c4e $ kubectl get deploy web -n eu-prod web 4/4 Available image: web:a1b9c4e # every change is a reviewed commit — rollback is a git revert
How do you measure whether delivery is improving?
Without a measurement framework, "faster delivery" is a feeling rather than a fact, and the easiest way to look fast is to cut the corners that keep you stable. The four delivery metrics from the DevOps Research and Assessment program exist to stop that trade going unnoticed. Two measure throughput — deployment frequency and lead time for changes — and two measure stability — change-failure rate and time to restore service. Read together, they make speed and safety visible at once, so you can see whether a team is genuinely improving or simply shipping faster by breaking more.
One clarification saves a great deal of confusion, especially for our financial-services clients: these metrics share their acronym with the EU's Digital Operational Resilience Act, but they are an entirely separate thing — a software-delivery measurement framework, not a regulation. We baseline the four metrics at the start of an engagement and report against them as the platform matures, so the improvement is something you can see in the numbers rather than something we ask you to take on trust. Better numbers on all four at once is the signal that the platform is doing its job.
Observability: running it, not just shipping it.
Monitoring tells you whether a known thing has broken. Observability lets you ask why something you never predicted is behaving the way it is, and answer it from the evidence the system emits. It rests on three kinds of signal — metrics, logs and traces — assembled from an open stack of Prometheus, Grafana, Loki and OpenTelemetry, and it is the difference between an on-call engineer who can diagnose a novel failure and one who can only confirm a red light is red. A platform without observability is shipped blind, and the gap shows up at the worst possible moment.
Running a platform properly means owning that visibility and the service levels that depend on it, not handing over dashboards and walking away. We define service-level objectives with you, watch the signals that matter against them, and use error budgets to balance the pressure to ship against the need to stay reliable — the site-reliability-engineering discipline applied to your platform rather than recited at it. Where the observability concern is specifically about AI systems and their behaviour in production, that connects to our observability for AI work, which extends the same principles to models and inference.
Can developers self-serve without losing control?
The fear that stops many organisations building a platform is that self-service means losing control — that handing developers the keys leads to a sprawl of inconsistent, insecure, expensive infrastructure. A well-built internal developer platform produces the opposite. Because the golden paths have the security, policy and cost rules built into them, the self-service route is also the governed route: a developer who provisions through the platform gets the approved network policy, the encryption, the tagging and the budget guardrail without having to think about any of them. Control moves from gatekeeping each request to designing the path, which scales far better and frustrates people far less.
Policy-as-code is what makes that real rather than aspirational. The rules about what may run, where, and at what cost are themselves declared in code, versioned and enforced automatically, so they apply consistently rather than depending on who reviewed a ticket that day. The result is the combination organisations actually want and rarely get: developers who move quickly because they are not waiting on anyone, and a platform that stays secure and within budget because the guardrails are structural, not a matter of vigilance.
What we run for you.
We take the platform on as a managed capability from design through daily operation. That means building or improving the CI/CD pipelines, standing up the GitOps workflow and the infrastructure-as-code base, running managed Kubernetes where it fits, wiring in observability, and assembling the whole into an internal developer platform with golden paths your team actually wants to use. Then we keep operating it: upgrades, scaling, incident response, cost control and the steady evolution of the paved paths as your needs change. The scarce platform-engineering skill that this requires becomes our responsibility rather than a hiring problem you have to solve before you can start.
None of it sits in isolation from the rest of what we run. The security controls in the pipeline are the province of our DevSecOps and supply chain security practice; the underlying hosts and cloud connect to managed cloud and server management; the jurisdictional and compliance story to compliance and sovereignty. The platform is the layer your developers touch every day, and we build it so the speed it gives them and the control the business needs are the same thing rather than a trade.
A sovereign platform, on open foundations.
The tools that matter here are open and vendor-neutral by design — Kubernetes, Terraform and OpenTofu, Argo CD and Flux, the Prometheus and Grafana stack, OpenTelemetry — and that is a deliberate choice, not a coincidence. A platform built on the open CNCF ecosystem stays portable and under your control, with no single vendor owning your roadmap, metering each action, or able to reprice you into a corner. We keep your platform on those foundations precisely so the control stays with you rather than migrating to a supplier.
Operating it inside the EU completes the picture. The infrastructure, the pipelines and the data they handle stay under EU jurisdiction, built on open software we run ourselves with no resale layer in between. It is the same principle behind everything Argus does — a European operator that builds and runs the platform itself and tells you the truth about how it works — applied to the layer your whole engineering organisation depends on every day.
Questions buyers ask.
What is platform engineering, and how is it different from DevOps?
What is an internal developer platform (IDP)?
What does a managed Kubernetes service include?
What is GitOps, and why does it matter?
What is infrastructure as code?
How do you measure whether delivery is actually improving?
Do we have to adopt Kubernetes to work with you?
What is observability, and how is it different from monitoring?
Can you work with our existing cloud and pipelines?
How does platform engineering reduce costs?
How does this connect to security and the supply chain?
Why run the platform with an EU provider on open foundations?
Let us review the platform your developers ship on.
We will look at how your software gets from a commit to production today — the pipelines, the infrastructure, the cluster, the gaps — and baseline the four delivery metrics so you can see where the time and the risk actually sit. You get a clear picture of what an internal developer platform would change for your team, what we would run, and what the first improvements would deliver, before any commitment.