Managed Kubernetes

Build a Kubernetes platform that remains operable

For teams serving multiple container workloads, environments or customers that have established Kubernetes fits their organisation and operating budget.

Production-ready means something concrete here: repeatable infrastructure, a working delivery path, bounded access, secrets outside code, logging, metrics, agreed alerts, backups and ownership.

Recognisable signals

  • Containers run through loose scripts or on one server
  • Environments lack isolation and fixed deployment paths
  • Ingress, secrets and observability differ per workload
  • Upgrades and day-2 operations have no structural owner

What does not need replacing by default

  • Existing containers and pipelines that meet clear quality criteria
  • Managed databases outside the cluster where operationally better
  • Working cloud foundation and identity patterns
  • VM workloads that need not migrate first
Managed Kubernetes

Possible directions

Production-ready means something concrete here: repeatable infrastructure, a working delivery path, bounded access, secrets outside code, logging, metrics, agreed alerts, backups and ownership.

01

EKS or AKS as managed control plane

02

Terraform for cloud and cluster foundation, GitOps for platform and workload configuration

03

Identity, secrets, ingress, DNS and certificates as fixed platform capabilities

04

Observability, upgrades, backups and support as a day-2 design

Approach

From first picture to working improvement

  1. 01No-obligation and high-level

    First platform conversation

    We establish the situation, fit and whether Platform Discovery is the right next step.

    A focused first exploration
  2. 02Paid assessment

    Platform Discovery

    We assess workloads, cloud resources, Terraform, delivery, security, state and operations.

    Substantiated scope and estimate
  3. 03Fixed or phased

    Implementation

    Deliverables, effort estimate and budget guardrails stay visible per phase.

    Build on confirmed choices
  4. 04After go-live

    Stabilisation

    Go-live is followed by validation, documentation and controlled handover.

    From delivery to control
  5. 05Structural continuity

    Platform Support

    Bounded maintenance and support follow only within explicit agreements.

    Clear coverage and agreements

Concrete output

  • IaC for cloud and cluster foundation
  • GitOps bootstrap and representative delivery path
  • Identity, secrets and network model
  • Metrics, logging and agreed alerts
  • Architecture decisions, runbooks and operating agreements

Good fit when

  • multiple container workloads or environments need one safe path
  • the team can organise sufficient container knowledge and ownership
  • isolation, scale or automation justify the added complexity

Less suitable when

  • one simple workload fits a managed container service
  • there is no owner or budget for upgrades and operations
  • Kubernetes is chosen mainly because it sounds standard
Relevant case

Bettr Group

Designing, building and improving secure cloud environments across multiple companies with different levels of maturity and platform needs.

View case
FAQ

Frequently asked questions

What does production-ready mean?

Rebuildable from code, working delivery, safe access, observability, recovery agreements, documentation and explicit ownership.

Can databases run on Kubernetes?

Yes, for example through operators, but only when recovery, storage, upgrades and expertise justify it. Managed databases often remain suitable.

Does Platform in a Week fit?

Only with confirmed prerequisites, fast decisions and workloads outside the delivery week. Complex legacy needs a phased engagement.

First platform conversation

Discuss your platform situation

Share the broad situation and trigger. The first platform conversation establishes fit and next step; detailed analysis follows as paid Platform Discovery.

Useful context

Do not share sensitive infrastructure details in this form.

  • Current cloud and application landscape
  • Main operational or growth bottleneck
  • Relevant deadline, audit or customer requirement

Plan a first platform conversation

Share only the broad context here; do not include passwords, secrets or sensitive infrastructure details.