// BY THE NUMBERS
Pipeline and platform metrics
Across customer environments today.
SME-DEVOPS-IAC
100%
Code-tracked infrastructure
SME-DEVOPS-LEAD
< 15 min
Median lead time to prod
SME-DEVOPS-PAGE
0
Midnight pages in active platforms
02 / 06DevOps and Automation
Infrastructure as code, from pipeline to prod.
Terraform, Kubernetes, and CI/CD pipelines that make your team faster, without breaking ops.
- CKA × 2
- Terraform Associate
- GitHub Advanced
// THE WORK
Three pillars. One operator.
Pipelines, platforms, and runtime. Built so your team ships faster without breaking what's already running.
- 1
Infrastructure as code
Terraform modules with policy-as-code guardrails. Drift detection, plan reviews, no console clicks.
- code-tracked infra
- 100%
- 2
CI/CD pipelines
GitHub Actions, GitLab, Azure DevOps. Build once, promote everywhere, with signed artefacts.
- lead time to prod
- < 15 min
- 3
Kubernetes platforms
EKS, AKS, GKE with golden paths. RBAC, secrets, and observability that survives day-two ops.
- midnight pages
- 0
// THE PROOF
Built. Run. Measured.
What platform engineering looks like once it stops being a side project. Active pipelines, real runtimes.
// IN PRODUCTION
Platforms your team operates after we leave.
A platform you cannot operate without us is a platform we built wrong. We hand back the modules, the runbooks, and the muscle memory, then return for advisory, not because we kept the keys.
- CKA × 2
- Terraform Associate
- GitHub Advanced
- AWS Certified
// THE DEEP DIVE
DevOps and automation, explained.
The long-form context behind the work. Written by the engineer who runs the engagement, not a marketing team.
Beyond the buzzword.
DevOps is the operating model that turns infrastructure into code, deployment into a pipeline, and runtime into an observable surface. At SMEnode we deliver three concrete artefacts: Terraform modules with policy-as-code, CI/CD on GitHub Actions or GitLab or Azure DevOps, and Kubernetes platforms on EKS, AKS, or GKE. Each one engineered so the team you have today can ship safely.Built to hand back.
Managed DevOps services typically operate your pipelines and platforms in perpetuity. SMEnode builds the platform with you, then trains your engineers to operate it. The engagement ends. You keep the documentation, the runbooks, and the muscle memory. We come back for advisory or architectural review when something changes, not because we kept the keys.Kubernetes when it earns its keep.
Kubernetes earns its complexity once you cross three boundaries: multiple environments, multiple teams, or multiple cloud regions. Below that, simpler platforms (ECS, App Service, Cloud Run) usually win. We will tell you which side of the line you sit on during discovery, even if it means a smaller engagement. Tool fit beats tool fashion.Delivery pipeline
// THE METHOD
How a platform engagement runs.
Built with your engineers, then handed back, so the platform outlives the engagement. We start by reading what you already run and right-sizing the ambition, because the wrong amount of Kubernetes is its own kind of outage. Each step below produces something version-controlled and reviewable, not a slide. You keep the modules, the pipelines, and the runbooks, and we return for advisory rather than because we held the keys.
- Step 01
Assess and right-size
A read of your current pipelines, environments, and runtime. We map where Kubernetes earns its keep and where a simpler platform wins, before writing any Terraform.
- Step 02
Code the foundation
Terraform modules with policy-as-code guardrails, drift detection, and plan reviews. The base everything else lands on, version-controlled from commit one.
- Step 03
Pipelines and golden paths
CI/CD on GitHub Actions, GitLab, or Azure DevOps with signed artefacts, plus EKS, AKS, or GKE golden paths wired for RBAC, secrets, and observability.
- Step 04
Train and hand back
Runbooks your engineers actually open, hands-on enablement, and a clean exit. We return for advisory, not because we kept the keys.
// QUESTIONS
DevOps questions, answered straight.
The questions we hear before a first platform call. Every answer is written by the engineer who builds the pipeline.
Kubernetes earns its complexity once you cross multiple environments, multiple teams, or multiple cloud regions. Below that, ECS, App Service, or Cloud Run usually win. We tell you which side of the line you sit on during discovery, even when the honest answer means a smaller engagement.
Terraform for infrastructure as code with policy-as-code guardrails and drift detection. CI/CD on GitHub Actions, GitLab, or Azure DevOps with signed artefacts. Kubernetes platforms on EKS, AKS, or GKE. We work within the stack you already run rather than forcing a rebuild around our preference.
Yes, that is the goal. We build the platform with your engineers, then train them to operate it through hands-on enablement and runbooks they actually open. The engagement ends and you keep the muscle memory. We return for advisory or architecture review, not because we held the keys.
Every change goes through version-controlled Terraform with plan reviews, so the state in code matches the state in the cloud. Drift detection flags anything changed outside the pipeline. No console clicks, no untracked resources, no surprise at the next audit about how a thing came to exist.
Median lead time to production runs under fifteen minutes on the platforms we operate, with build-once promote-everywhere pipelines. The first foundation lands in weeks, not months. A scoped statement of work arrives within three business days of the first call with a senior engineer.
// KEEP EXPLORING
Where this work connects.
These disciplines share the same senior team and tend to land together. Follow the thread to the next one.
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