Recognisable signals
- Every environment is structured differently
- Deployments still contain manual steps
- Platform knowledge sits with one or two developers
- New customers or environments require too much coordination
Professionalise the cloud platform
Build a cloud platform without unnecessary complexity
For software companies with a new product, scattered cloud resources, partial Terraform, VM workloads or containers without a mature platform. The current situation is the starting point, not a predetermined tool.
A sound cloud platform connects accounts or subscriptions, networking, identity, Infrastructure as Code, delivery, observability and operations. Sometimes that means a new baseline; sometimes improving what already works is the better route.
What does not need replacing by default
- Useful Terraform modules and existing cloud resources
- VM workloads that are stable and appropriately operated
- Managed services that reduce operational load
- Delivery components that are demonstrably reliable
Professionalise the cloud platform
Possible directions
A sound cloud platform connects accounts or subscriptions, networking, identity, Infrastructure as Code, delivery, observability and operations. Sometimes that means a new baseline; sometimes improving what already works is the better route.
Cloud foundation with consistent accounts, subscriptions, networking and identity
Infrastructure as Code and repeatable environment patterns
Containerisation and managed Kubernetes when the workload and team justify it
GitOps, observability, backups, runbooks and clear ownership
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
- Inventory and target architecture
- Phased implementation estimate and budget guardrails
- Repeatable cloud and platform configuration
- Working delivery path for a representative workload
- Documentation, runbooks and operating agreements
Good fit when
- you have 5 to 40 engineers without a mature internal platform team
- growth, audit or enterprise requirements put pressure on the current baseline
- you want technology and operations treated as one system
Less suitable when
- you only need extra hands without a bounded outcome
- one tool must be the answer regardless of context
- application development is the main request
Relevant case
Solvinity
Setting up new cloud environments and delivery paths faster and more consistently, so onboarding did not become manual work every time.
FAQ
Frequently asked questions
Do we need Kubernetes?
Not automatically. Workloads, scale, availability, team knowledge and operating budget drive that choice.
Does everything need rebuilding?
No. Discovery identifies what can stay, improve, move into IaC or be replaced in phases.
Can implementation be fixed price?
Discovery has a clear paid scope. Implementation follows an estimate or budget guardrail; Platform in a Week is fixed only when prerequisites fit.
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