Production-ready platforms
Versioned infrastructure, secure defaults, and a platform that is straightforward to operate, evolve, and maintain.
Kubernetes platform engineering
Platforms that make shipping feel simple
Core Solutions designs and builds Kubernetes platforms, golden paths, and day-two operating systems for teams that want flexibility without the chaos.
GitOps delivery
Argo CD workflows, declarative environments, and repeatable rollout patterns built into delivery.
Lower cloud costs
Autoscaling, practical guardrails, and clearer usage signals that help teams reduce waste before it grows.
Observability stack
Centralised logging, metrics, dashboards, and runtime visibility that keep the platform healthy as teams scale.
Platform system
The platform is the cluster, the services around it, and the workflow behind it.
We build the control plane, autoscaling compute, GitOps bootstrap, and the core services around the platform.
Platform boundary
The platform is more than the cluster.
Control plane, core services, defaults, and delivery workflow need to work together as one system.
Core services
Baseline services make the platform usable.
DNS, secrets, certificates, dashboards, alerts, and runtime visibility should arrive with the platform.
GitOps workflow
Platform and app changes follow a clear path.
Platform repos bootstrap the cluster, while app repos deliver workloads into that platform through the same controlled flow.
Flexibility
Strong defaults, adaptable layers.
Service choices, runtime components, and provider details can be shaped around your requirements without throwing away the platform model.
Kubernetes platform
Flexible by design. Production-ready from day one.
Application workloads
team-owned workloadsApp deployment
Custom alerts
Custom dashboards
Core services
platform baselineGitOps services
Argo CD
Application sets
Release process
Network services
External DNS
Ingress controller
Cert Manager
Secrets and config
External Secrets
Managed secret stores
Observability stack
Prometheus
Thanos
Alertmanager
Loki
Grafana
Identity and access
Workload identity
RBAC defaults
SSO / OIDC
Storage and persistence
CSI drivers
Storage classes
Volume snapshots
Kubernetes foundation
control plane and computeControl plane
API server
Scheduler
Controller manager
Cloud controller manager
Autoscaling node groups
General workloads
Autoscaling nodes for most services.
Stateful lanes
Separated capacity for storage-heavy workloads.
GPU and high-compute
Dedicated scheduling for specialist runtime needs.
GitOps workflow
Platform repos shape the platform. App repos ship into it.
Repository lanes
Platform repo
Core Solutions or your platform team
Cluster bootstrap
Node groups
Core services and defaults
App repos
Product and application teams
Service manifests
Runtime config
Workload releases
Application delivery flow
01
Developers open and review changes against the application repository
02
Changes are merged to main once review and checks pass
03
Semantic release cuts and tags the new application version from main
04
The target version is updated in the ops repo for the chosen environment
05
Argo CD deploys automatically or waits for manual approval and sync
Platform repos follow the same GitOps pattern as well. Git stays the source of truth and Argo CD reconciles the cluster back to declared state.
Platform model
Smarter platforms. Lower costs. Faster teams.
The goal is not more infrastructure. The goal is a platform that creates confidence, keeps delivery moving, and grows with the product.
01
Build on solid ground
Lay the right foundations with versioned, documented, pipeline-driven infrastructure and a platform baseline that can evolve without rewrites.
- Predictable releases and rollback paths
- Shared runtime patterns instead of team-by-team improvisation
02
Empower teams with a path they want to use
The best paved workflows feel helpful, not restrictive. We shape self-service delivery that keeps engineers moving while protecting the platform.
- Guardrails that reduce guesswork
- Escapes available when a team truly needs them
03
Simplify day-two operations
A platform is only useful if it stays healthy under pressure. We build the observability, cost controls, and operating loops that keep it maintainable.
- Signals that help teams act quickly
- Cost and reliability posture designed into the workflow
Capabilities
A platform practice shaped around what actually helps engineers move.
We focus on the pieces that create leverage: reliable foundations, safer defaults, clearer operations, and a developer experience teams choose to keep using.
Production-ready platforms
Opinionated platform foundations that reduce drift and let teams ship into environments that already make sense.
Service workflows and templates
Service templates, workflow defaults, and paved roads that improve consistency without forcing lock-in.
Cost optimisation
Practical controls that improve visibility and reduce overspend before cloud costs become organisational drag.
Observability that drives action
Signals, dashboards, and service cues that help engineers understand what is happening and what to do next.
Secure-by-default delivery
Policy checks, runtime constraints, and operational guardrails embedded into the delivery path instead of bolted on later.
End-to-end platform partnership
We do not stop at provisioning. We help shape the platform through rollout, adoption, and the realities of day-two.
Operating model
The platform should mature with the organisation, not freeze after launch.
We treat platform work as a product and an operating system. That means clear foundations, deliberate rollout, and a feedback loop that keeps the defaults improving.
01
Phase
Foundation
Shape the core platform model, team boundaries, runtime assumptions, and the first useful defaults.
Reference architecture
Infrastructure patterns
Initial control plane and environments
02
Phase
Platform
Turn the model into a platform teams can actually adopt with service workflows, delivery guardrails, and observability.
Service workflows
Policy and release flow
Operational dashboards and platform signals
03
Phase
Enablement
Refine the platform with the teams using it so the defaults improve and the operating model stays healthy as adoption grows.
Team onboarding
Usage and cost feedback loops
Day-two optimisation
Latest thinking
Technical writing on the platform decisions, delivery workflows, and operating models behind reliable Kubernetes systems.
The blog is where we share practical lessons from building platforms, shaping delivery paths, and making day-two operations easier to run.
Infrastructure as Code
Up and Running with the Cloudflare Terraform Provider
Quick-start guide to managing Cloudflare infrastructure with OpenTofu or Terraform.
4 min read
Troubleshooting
Kubernetes ImagePullBackOff and Pending Pod Troubleshooting
Complete guide to diagnosing and fixing the most common pod deployment failures
7 min read
Security
Zero-Trust Networking in Kubernetes with Istio Service Mesh
Zero trust architecture in Kubernetes, from implementation and policy to observability.
15 min read
FAQ
Common questions from teams thinking seriously about platform work.
Platform investment lands better when the scope is clear, the operating model is realistic, and the developer experience stays central.
What kind of teams is this built for? +
Teams that want a stronger platform model without turning every engineer into a full-time platform operator. Usually that means product companies growing into multiple services, environments, and delivery lanes.
Do you only build on Kubernetes? +
Kubernetes is often part of the answer, but not the point of the engagement. The point is designing a platform that preserves flexibility while reducing operational drag and cognitive overhead.
How opinionated should a platform be? +
Opinionated enough to create speed, consistency, and safer defaults. Not so opinionated that teams cannot solve the real edges of their product. Good delivery paths support adoption because they feel useful.
Do you offer a managed platform option? +
Yes. Some teams want a bespoke platform handed over to their internal team. Others want us to build and run it with them. We shape the engagement model around what the team actually needs.
Is the platform model fixed? +
No. The diagram shows the shape we commonly build, but every layer can be adapted. If a team needs a different CNI, an inference capability such as KServe, or a different mix of core services, we shape the platform around those requirements rather than forcing a rigid stack.
What happens after the first platform release? +
That is where the real work starts. We help shape the day-two operating loop: adoption, observability, platform feedback, cost posture, and the decisions that keep the platform healthy as usage grows.
Build the right platform
Turn platform work into a real advantage instead of a permanent backlog.
Core Solutions builds platform systems that help teams ship confidently, scale responsibly, and keep the operational model understandable as the business grows.