Inconsistent cluster setup
Clusters are configured differently across environments, making troubleshooting harder.
Container platforms
Kubernetes will happily give you enormous power and enormous ways to hurt yourself.
Kubernetes is worth it when you actually need it — and a liability when it's adopted for the hype. If you need it, we build clusters (AKS, EKS or GKE) that are secure by default, right-sized, and operable by your team, with the guardrails that stop a small mistake becoming an outage. And if you don't need it, we'll say so.
Discuss Kubernetes
Architecture
flowchart LR
U[User / Client]
U -->|1 HTTPS request| DNS[DNS]
DNS -->|2 resolve| LB[Cloud Load Balancer]
LB -->|3 TLS terminate| WAF[WAF / Cloud Armor]
WAF -->|4 filtered traffic| ING[Ingress Controller]
subgraph CLUSTER[Kubernetes Cluster]
direction LR
ING -->|5 route by host/path| SVC[Service ClusterIP]
NP{Network Policy}
NP -. allow .-> SVC
SVC -->|6 kube-proxy balances| POD1[Pod A]
SVC --> POD2[Pod B]
end
POD1 -->|7 response returns| U
01
HTTPS request
Client initiates a secure request to the domain.
02
DNS resolve
DNS resolves the domain to the load balancer.
03
TLS terminate
TLS is terminated at the edge, before the cluster.
04
Filtered traffic
WAF / Cloud Armor filters malicious traffic.
05
Route by host/path
Ingress controller routes to the right Service.
06
kube-proxy balances
Traffic is load-balanced across healthy pods.
07
Response returns
Response returns to the client via the same path.
Business challenges
Kubernetes challenges we solve.
Every recommendation starts with business pressure, technical risk and the operating model required after launch.
Unmanaged secrets
Application secrets are handled inconsistently across namespaces and teams.
Limited visibility
Teams lack dashboards or alerts to understand cluster and workload health.
Solution overview
Kubernetes designed for production readiness.
If you need it, we build clusters (AKS, EKS or GKE) that are secure by default, right-sized, and operable by your team, with the guardrails that stop a small mistake becoming an outage. And if you don't need it, we'll say so.
Cluster design
Right-sized AKS, EKS or GKE clusters that are secure by default.
Deployment standards
Consistent deployment patterns so a small mistake doesn't become an outage.
Ingress and secrets
Ingress, secrets and access patterns defined once and reused across workloads.
Observability
Monitoring wired in from the start so the team has real visibility into cluster health.
Architecture model
A practical delivery architecture before implementation begins.
We define the target operating model, controls, integration points and ownership path before building, so the solution can be supported after launch.
CloudevTech
Enterprise delivery model
01
Discover
02
Architect
03
Implement
04
Validate
05
Operate
Our approach
Structured delivery from discovery to operational handover.
Every engagement is shaped around the service goal, current constraints and the operating model your team needs after launch.
Assess workload requirements
Understand scaling, availability and operational needs.
Design cluster architecture
Define cluster topology, ingress and secrets patterns.
Build and deploy
Implement the cluster and deployment standards.
Add observability
Connect monitoring so the team has real visibility into cluster health.
Business benefits
Outcomes designed for decision makers and delivery teams.
Benefits are framed around measurable improvement, operating confidence and reduced delivery risk.
Standardized cluster design
AKS, EKS or GKE clusters follow one deployment and configuration standard.
Managed secrets and ingress
Secrets and ingress follow a consistent, documented pattern.
Cluster and workload visibility
Observability tooling gives teams a real view of cluster and workload health.
Technology stack
Implemented with proven platforms and tools.
Technology choices are confirmed during discovery, with a preference for reliable, maintainable platforms your team can support.
AKS
EKS
GKE
Helm
Ingress controllers
Enterprise AI agents needed access to production tools. Security needed to sleep at night.
Controlled AI-agent tool access with least-privilege scoping, mediated APIs and BigQuery audit logging.
Read the story ->
FAQ
Common questions before engagement.
Short answers to common planning questions for Kubernetes.
Do we even need Kubernetes?
Honestly, many teams don't. We'll tell you if something simpler fits better.
Managed (AKS/EKS/GKE) or self-managed?
Almost always managed — the operational savings are real.
Enterprise consultation
Book a consultation