Platform teams
A paved road with guardrails — self-serve for product, control for platform.
Container platforms
Clusters that
earn their complexity.
We design, harden, and operate Kubernetes so product teams get self-service deploy paths — without turning every engineer into a full-time cluster whisperer.
- EKS · AKS · GKE
- GitOps
- Day-2 ops
Platform stack
PoolsNode pools sized to workload class
GitOpsDesired state as the source of truth
PDBDisruption budgets by default
24×7Platform health you can page on
Built for
Platform leverage — not kubectl heroics
Product engineering
Deploy without kubectl spelunking — templates, GitOps, and clear failure signals.
Security
Baselines that block real risk: non-root, network policy, signed images, secret hygiene.
FinOps / leadership
Clusters with unit economics — not mystery spend on idle nodes and orphaned volumes.
Platform layers
A cluster is a product — stack it deliberately
Control
- API server
- etcd
- scheduler
- controller-manager
Data plane
- Node pools
- CNI
- Ingress
- CSI storage
Workloads
- Deployments
- Jobs
- StatefulSets
- CronJobs
Platform
- GitOps
- Metrics
- Policy
- Secrets
Managed Kubernetes
EKS, AKS, GKE — pick for fit
Amazon EKS
IRSA, private endpoints, and managed add-ons structured for AWS landing zones.
- IRSA / Pod Identity
- Managed node groups + Karpenter
- VPC CNI patterns
Azure AKS
Entra-integrated RBAC, Azure CNI, and hybrid-friendly private clusters.
- Entra workload identity
- Azure CNI / overlay
- Private cluster + Key Vault
Google GKE
Autopilot or standard — strong networking, GKE Autopilot options, and BigQuery-adjacent ML.
- Workload Identity
- Dataplane V2 / Cilium
- GPU & batch friendly
Workloads
Patterns we run in production
Stateless APIs & workers
Deployments, HPAs, and graceful shutdowns tuned for traffic that spikes and recovers.
Stateful services
Operators, PVCs, and backup stories that treat data as first-class — not an afterthought volume.
Batch & ML jobs
Queues, GPU pools, and fair scheduling so expensive nodes are not idle or thrashing.
Edge & multi-cluster
When one cluster is not enough — federation patterns without inventing a new control plane religion.
Capabilities
From control plane to day-2 muscle
Production-grade control planes
Managed K8s with private endpoints, add-on baselines, and node pools by workload class.
- IRSA / workload identity
- Private networking
- Add-on pinning
GitOps & progressive rollout
Argo CD / Flux apps with health checks and automated sync policies teams can reason about.
- App of apps
- Sync waves
- Drift detection
Networking, mesh & ingress
Ingress, service mesh where it pays off, and network policies that match threat models.
- mTLS optional
- Egress control
- DNS & certs
Upgrades, capacity & incident paths
Runbooks for node failure, upgrade weekends that are not weekends, and capacity planning.
- PDB & drain
- Cluster autoscaler
- On-call playbooks
Technologies
The tools behind a trustworthy platform
Real logos for orchestration, GitOps, observability, and security we wire into production clusters.
- KubernetesOrchestration
- HelmPackaging
- DockerImages
- ArgoGitOps
- TerraformCluster IaC
- GitHub ActionsCI promote
Platform add-ons
The boring essentials that keep clusters useful
Ingress & certs
TLS termination, DNS hooks, and certificate renewal that does not page humans.
Autoscaling
HPA, VPA guidance, and cluster autoscaler tuned to real demand curves.
Storage classes
CSI defaults, backup hooks, and stateful workload placement rules.
Policy & tenancy
Namespaces, quotas, NetworkPolicies, and admission that match team boundaries.
Cost signals
Idle waste visibility, spot pools where safe, and right-size loops.
Upgrade train
Skew policy, add-on matrix, and drain playbooks that survive holidays.
Hardening
Security that ships with the platform
Pod security
Restricted profiles, non-root defaults, and admission policy that blocks known foot-guns.
Supply chain
Signed images, admission verification, and minimal base images in the golden path.
Secrets
External secrets / sealed patterns — not ConfigMaps pretending to be vaults.
Observability
Metrics, logs, and traces wired so a pod crash is diagnosable in minutes.
Day-2 operations
The work that makes clusters survive year two
Upgrade cadence
Minor versions planned; add-ons pinned; staging proves before prod.
Capacity reviews
Monthly look at saturation, pending pods, and pool mix.
Incident drills
Node loss, etcd pressure, and image-pull storms practiced.
Drift control
GitOps is source of truth — cluster edits without PR are alerts.
Case patterns
Platforms teams actually adopt
From VM snowflakes to EKS platform
Standardized namespaces, resource quotas, and GitOps — six product teams self-serving without ticket queues.
GKE cost & reliability pass
Request right-sizing and spot pools cut spend while improving HPA behavior under load.
AKS for hybrid enterprise
Private clusters, Azure CNI, and Entra-integrated RBAC for regulated workloads.
GitOps rebuild after YAML sprawl
App-of-apps, sync waves, and drift alerts replaced hand-applied manifests and weekend surprises.
Deliverables
What you leave with
Cluster baseline
Hardened managed cluster(s) with networking, identity, and add-on pins.
GitOps bootstrap
App-of-apps, environments, and sync policies teams can extend.
Golden path charts
Helm/Kustomize starters for APIs, workers, and cron jobs.
Observability pack
Metrics, logs, traces hooks and starter dashboards.
Security defaults
PSS, NetworkPolicy samples, and secret patterns.
Day-2 runbooks
Upgrade, drain, capacity, and incident playbooks with owners.
How we engage
Platform brief → golden path → operate
Platform brief
Tenancy model, blast radius, and who owns what on day two.
Cluster baseline
Networking, identity, add-ons, and security defaults.
Golden path
App templates, GitOps, and CI promotion into the cluster.
Operate
Upgrade cadence, capacity reviews, and incident drills.
FAQ
Questions about Kubernetes orchestration
Keep exploring
Related cloud & DevOps services
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