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
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.
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.
EKS or AKS as managed control plane
Terraform for cloud and cluster foundation, GitOps for platform and workload configuration
Identity, secrets, ingress, DNS and certificates as fixed platform capabilities
Observability, upgrades, backups and support as a day-2 design
Approach
From first picture to working improvement
- 01
First conversation
We establish the situation, fit and whether discovery is the right next step.
- 02
Paid discovery
We assess workloads, cloud resources, Terraform, delivery, security, state and operations.
- 03
Phased implementation
Deliverables, effort estimate and budget guardrails stay visible per phase.
- 04
Stabilisation and support
Go-live is followed by validation, handover and, where useful, bounded support.
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.
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 conversation
Discuss your platform situation
Share the broad situation and trigger. The first conversation establishes fit and next step; detailed analysis follows as paid 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