Organically grown AWS or Azure infrastructure
Resources, Terraform, identity and networking grew per project. Standards and ownership are missing.
Discuss the cloud estateCloud • Platform Engineering • Kubernetes • Automation
From organically grown cloud infrastructure to a platform that holds up.
Cloud and platform engineering for growing software companies that want to professionalise organically grown cloud infrastructure, containerise applications or give a new product a platform baseline that holds up.
Starting point
Where is your platform today?
The starting point differs. These four situations often signal that scattered infrastructure needs a coherent platform approach.
A new product needs a sound baseline
There is little infrastructure yet. Start safely and repeatably without immediately building an oversized platform.
Explore a fitting foundationA VM estate is becoming hard to operate
Configuration drift and manual upgrades make environments hard to reproduce. Phased containerisation may fit.
Explore VM to containersContainers without a mature platform
Delivery, isolation, observability and recovery are fragile. Kubernetes is one option, not automatically the right one.
Explore container platformsPossible outcomes
Not a tool dump, but more predictable daily work.
The combination follows workloads, team, risk and operating budget. These outcome areas often need to work together.
Foundation
Consistent AWS accounts or Azure subscriptions, networking, identity and repeatable Infrastructure as Code.
Delivery
A reviewable path from code to environment through CI/CD or GitOps, including DNS, ingress and certificates.
Security
Bounded access, secrets management, auditability and practical guardrails.
Observability
Metrics, logging, alerts, backups and recovery agreements with explicit ownership.
Automation
Repeatably create or clone customer, test and acceptance environments.
Operations
Runbooks, architecture decisions, handover and clear support boundaries.
Technology follows context
Not every organisation needs the same solution.
Existing investments are the starting point. Sometimes improving is smarter than replacing; sometimes a new foundation is safest.
- Improve existing Terraform and bring missing resources into code.
- Containerise only workloads where delivery, isolation or scale genuinely improve.
- Use EKS or AKS when workloads and organisation justify the complexity.
- Choose a simpler managed container platform when it better fits.
- Improve security, observability or environment automation first.
- Migrate in phases where state, storage or networking make a big bang unwise.
Customer journey
From a first platform conversation to a platform that remains manageable.
The first platform conversation establishes fit and next step. Platform Discovery is paid detailed work; implementation is scoped afterwards.
- 01
First platform conversation
A no-obligation broad picture, mutual fit and an appropriate next step.
- 02
Platform Discovery
Paid assessment of workloads, cloud resources, Terraform, delivery, state, security and operations.
- 03
Implementation
Platform in a Week where prerequisites fit, otherwise phased with estimate and budget guardrails.
- 04
Stabilisation
Validate, document, fix early issues and transfer ownership.
- 05
Platform Support
Bounded maintenance, monitoring response or platform and delivery support.
Proof
Platform work in real production environments.
Cases show how cloud foundations, Terraform, delivery, governance and operations come together.
Bettr Group
Designing, building and improving secure cloud environments across multiple companies with different levels of maturity and platform needs.
What this shows
View case Bettr GroupA cloud foundation only matters when teams can start faster and operations has less to repair afterwards.
Philips
Large-scale deployment automation and standardisation across hundreds of environments in a complex enterprise context.
What this shows
View case PhilipsDelivery only scales when teams can follow the same safe path without reinventing every release.
Rabobank
Platform engineering around governance, secret handling, automation and cost control on a shared platform.
What this shows
View case RabobankA shared platform stays workable only when governance, secrets, automation and cost control are part of daily use.
Founder-led
The same senior engineer assesses, designs and helps build.
No sales handoff. Sander retains technical context from first boundary through implementation, handover and possible support.
A platform is not a goal in itself. It gives software teams a safe, repeatable route from code to production: less waiting for infrastructure, fewer manual steps and faster feedback. “With a Smile” means personal, pragmatic and without unnecessary complexity.
Platform engineering that makes DevOps workable.- More than ten years of hands-on cloud, platform, CI/CD and operations experience
- AWS and Azure, Kubernetes, Terraform, security, observability and automation in context
- Direct feedback loop with CTOs, development leads and technical founders
Trust
Experience where speed and control both had to hold up.
Impressions from teams where platform work, automation and delivery had to work under production pressure.
Rabobank
Proactive, technically strong and focused on solutions that create real value for the end user. Also simply great to work with as he brings positive energy to the team!
First platform conversation
Discuss where your platform stands today.
We establish the situation, fit and next step. The introduction is free; detailed Platform Discovery is a separate paid engagement.
Useful context to share
Directly with Sander. Concise, substantive and focused on the right next step.
- Current cloud, key workloads and number of environments
- Where manual work, risk or dependency is most visible
- Which growth event, audit, customer request or deadline triggers the question