Kubernetes provisioning & delivery automation

Kubernetes set up properly, automated, and handed to your team.

We provision Kubernetes clusters on your cloud or on-prem, build the CI/CD and deployment automation around them, and put everything in code. You get a working, documented platform your team owns. One focused engagement, then we are out of your way.

Cloud or on-prem · Provider and tool agnostic · We ship and hand over

[ hero graphic: simple cluster / pipeline sketch ]
The basics

What is Kubernetes?

Kubernetes (often shortened to K8s) is the standard way to run applications in containers across a group of machines. It keeps your apps running, restarts them when they fail, and scales them with demand. It is powerful, but setting it up and running it well is the hard part. That part is what we do.

Runs your apps

Packages and runs your services in containers across many machines.

Self-heals

Restarts and reschedules workloads automatically when something fails.

Scales

Adds or removes capacity as traffic goes up and down.

Portable

Runs the same way on any cloud or on your own hardware.

Problems we solve

The reasons teams bring us in.

Standing up a cluster takes forever

Doing Kubernetes right from scratch is slow and easy to get wrong. We set it up properly the first time.

Deployments are manual and risky

Shipping changes by hand leads to mistakes and downtime. We automate it so every release works the same way.

Nothing is reproducible

Hand-built infrastructure cannot be rebuilt or audited. We put everything in code.

You do not want to depend on a contractor forever

We hand over a documented setup your team can run on its own.

Common mistakes we fix

Patterns we see again and again.

Click-ops clusters

Everything configured by hand in a console. Impossible to reproduce or review. We move it into code.

Snowflake environments

Dev, staging, and production all configured differently, so "works in staging" means nothing. We make them consistent.

One person knows how it works

The whole platform lives in someone's head. We document it so the team owns it.

No safe way back

Releases with no rollback path, so every deploy is a one-way door. We build the path back in.

Default settings everywhere

Clusters running with defaults that were never reviewed. We bring them to a sane, hardened baseline.

Secrets in the wrong places

Credentials in plain text, in repos, or passed around by hand. We set up proper secrets management.

Tools we work with (whatever fits the client)
KubernetesTerraformHelm ArgoCDGateway APIGitHub / GitLab CIDocker OpenTelemetrySigNozGrafanaPrometheus

Any cloud or bare metal. Observability stack is the client's choice, not fixed.

Tech stack

What we build with.

Orchestration & routing

KubernetesGateway API

Infrastructure as Code

TerraformHelm

CI/CD & delivery

GitHub ActionsGitLab CIArgoCD

Containers

Docker

Observability

OpenTelemetrySigNozGrafanaPrometheus

Where it runs

AWSGCPAzureBare metalVPS
What we do

One job, done well: provision and automate.

A focused service, not a full menu. We set it up, you keep it.

Cluster provisioning

Kubernetes clusters on your cloud or on-prem, any provider. Set up, configured, and hardened to a sane baseline.

Delivery automation

CI/CD pipelines with the deployment model your team wants, GitOps (pull) or push-based, so changes ship safely and the same way every time.

Infrastructure as Code

Terraform and Helm. Everything reproducible and in code, so the platform is yours to keep and change.

Observability setup

Metrics and logging wired up with the tools you prefer: OpenTelemetry, SigNoz, Grafana, Prometheus, your call.

Animated concept

The DevOps loop, in motion.

This section uses an animated version of the loop below: the segments assemble one by one into the figure eight. The shape and stages are exactly these, drawn here as a static reference.

CODE BUILD TEST DEPLOY OPERATE MONITOR PLAN RELEASE

Plan, code, build, test, release, deploy, operate, monitor. Our work covers the loop from build to deploy, and wires up the monitoring.

In plain terms

What we actually do.

You tell us where you want to run, on a cloud or your own machines. We set up Kubernetes there, build the pipeline that takes your code from commit to running, and put every piece of it in code so it can be rebuilt and changed. When it works and your team understands it, we document it and hand it over.

How it fits together

The two things we build.

Delivery pipeline

Code changegit push CI: build & testcontainer image Image registryversioned artifact DeployGitOps or push Kubernetesdeployed

Your team pushes code, the pipeline builds, tests, and deploys it the same way every time.

Cluster provisioning

Terraforminfrastructure code Provision infracloud or on-prem BootstrapKubernetes Platform add-onsgateway, observability Handoverdocumented, yours

The cluster is built from code, so it can be rebuilt, audited, and changed without guesswork.

What we set up

What a provisioned setup looks like.

Users / traffic requests in Git + CI/CD build & test Kubernetes cluster Gateway Gateway API Worker node Worker node Control plane runs the cluster Observability metrics & logs traffic GitOps or push

A typical setup: your apps run on worker nodes, traffic comes in through the Gateway API, changes arrive via GitOps or push, and observability watches it all.

Traffic routing

Gateway API, not yesterday's Ingress.

Kubernetes Ingress is frozen: it still works, but it gets no new features and the Gateway API is its official successor. New clusters we provision use the Gateway API from day one, and if you are on Ingress today, we migrate you over cleanly.

New clusters

Provisioned with the Gateway API from the start, so your routing is built on the current standard, not a frozen one.

Ingress migration

Already running Ingress? We migrate your routes to the Gateway API without breaking traffic.

Why it matters

More expressive routing, clearer separation of roles, and a spec that is actively developed instead of frozen.

Deployment models

GitOps or push, your choice.

We set up whichever deployment model fits how your team works. Toggle to compare.

GitOps (pull)

Your cluster syncs itself from a git repository. The repo is the single source of truth, and every change is reviewed like code before it goes live.

  • Every change has a review and a history
  • The cluster state always matches what is in git
  • Rolling back means reverting a commit

Push

Your pipeline pushes changes straight to the cluster after build and test. Simpler to start with, and a good fit for many teams.

  • Fewer moving parts to learn
  • The pipeline you already know does the deploying
  • A natural starting point that can evolve later
Environments

Dev, staging, production. Consistent.

Because everything is in code, your environments are built from the same definitions. What you test in staging behaves the same in production.

Development

A place to try changes safely without touching anything real.

Staging

A production-like environment to validate releases before they go live.

Production

The real thing, built from the same code as the other two.

Where it runs

Cloud or on-prem. You decide.

We provision Kubernetes on any major cloud or on your own hardware. No vendor lock-in, and you choose where your workloads and data live.

AWSGoogle CloudAzureBare metalVPSHybrid
Security baseline

Sane defaults, set up from day one.

Every cluster we hand over comes with a reviewed, hardened baseline instead of factory defaults.

Access control

Role-based access so people and services can only do what they need to.

Secrets management

Credentials stored and delivered properly, not in plain text or repos.

Network rules

Policies that limit what can talk to what inside the cluster.

Reviewed settings

No unexamined defaults. The configuration is deliberate and documented.

What you get

What you keep at the end.

A working cluster

Kubernetes provisioned and configured on your infrastructure.

Delivery automation

CI/CD pipelines and your chosen deployment workflow, GitOps or push.

Everything in code

All infrastructure as code with Terraform and Helm, ready to rebuild or change.

Observability

Metrics and logging wired up with the tools you prefer.

Documentation

Clear docs so your team understands what was built and why.

A clean handover

A walkthrough so your team can run the platform without us.

What's included

Everything in one engagement.

✓  Kubernetes cluster provisioned on your infrastructure
✓  CI/CD pipeline set up
✓  GitOps or push deployment, your choice
✓  Infrastructure as code (Terraform, Helm)
✓  Observability wired up with your tools
✓  Cluster hardened to a sane baseline
✓  Documentation of the setup
✓  Handover walkthrough with your team
Why it matters

What good provisioning and automation give you.

Faster setup

A solid platform in place without months of trial and error.

Safer releases

Consistent, repeatable deployments instead of tense manual ones.

Full ownership

Infrastructure in code that you can rebuild, audit, and change.

No lock-in

Standard Kubernetes that moves between clouds and on-prem.

Who we work with

A good fit if you are.

Adopting Kubernetes

Teams moving to Kubernetes for the first time and wanting it done right.

Migrating

Teams moving between providers, or between cloud and on-prem.

Without a platform engineer

Teams that need platform work done but do not have someone in-house for it.

Wanting to own their setup

Teams that want their infrastructure in code and documented, not locked in one person's head.

Scope

Clear scope, clean ending.

How engagements work

Project-based with a defined scope, agreed up front in writing. We deliver it, hand it over, and the engagement ends there.

No retainers, no on-call

We do not run your platform for you or carry a pager. The handover is designed so your team does not need us to operate it. Need more later? Bring us back for a new scope.

How we work

Scope it, build it, hand it over.

No retainers, no on-call. We deliver the work and step away. What is realistic depends on where you are starting from, and we will be straight about that up front.

01

Scope

We look at what you run and what you need, and agree on a clear, realistic scope.

02

Build

Provision the cluster and set up the delivery automation around it.

03

Document

Everything in code and written down, so nothing lives only in one person's head.

04

Hand over

Your team owns and runs it. We move on. Need more later? Bring us back for a new scope.

How an engagement goes

Step by step.

01 · Scope

We agree on what you need and what is realistic, in writing.

02 · Build

We provision the cluster and set up the delivery automation.

03 · Document

Everything goes into code and clear documentation.

04 · Hand over

We walk your team through it and step away. You own it.

The handover

What "handed over" actually means.

The code

All infrastructure and pipeline definitions in your repositories, under your control.

The docs

Written documentation of the setup: what exists, why, and how to change it.

The walkthrough

A session with your team going through the platform end to end.

The keys

Full access transferred to you. Nothing stays dependent on us.

Questions

Good to know.

Either. You choose where it runs, and we provision it there. AWS, Google Cloud, Azure, bare metal, or VPS.

Yes. We can improve and automate what you already run instead of starting from zero.

Whichever fits your team. We set up either, and the scope conversation is where we figure out which one makes sense for you.

Your choice. OpenTelemetry, SigNoz, Grafana, Prometheus, or whatever your team already uses. We are not tied to one stack.

A running cluster, the pipelines, all infrastructure as code in your repositories, observability, documentation, and a walkthrough with your team.

No. Engagements are project-based with a clean handover, designed so your team can run the platform without us. You can bring us back later for a new scope.

It still works, but the Ingress API is frozen and gets no new features. The Gateway API is its successor, and we can migrate your routing over without breaking traffic.

It depends on where you are starting from and what you need. The scope conversation gives you a realistic answer before any work begins.

Key terms

In case the words are new.

Container

A lightweight, self-contained package of an application and everything it needs to run.

Kubernetes (K8s)

The system that runs and manages those containers across many machines.

Cluster

The group of machines Kubernetes runs your applications on.

CI/CD

The automated pipeline that builds, tests, and ships your code.

GitOps

Running your cluster from a git repository as the single source of truth.

Infrastructure as Code

Defining your servers and setup in code, so they can be rebuilt and reviewed.

Experience

Built on real production experience.

[ optional image: diagram or photo ]

Soft Digital Edge focuses on Kubernetes provisioning and delivery automation, backed by years of hands-on work in real production environments. CKA and Terraform certified, with 7+ years across Kubernetes, CI/CD, and infrastructure. Every engagement is delivered in code, documented, and handed over, so your team fully owns what we build.

CKA certifiedTerraform certified7+ years in productionKubernetes · Linux
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SoftDigitalEdge

Kubernetes provisioning and delivery automation. We set it up, you own it.

What we do
Cluster provisioningDelivery automationInfrastructure as CodeObservability setup
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