digitaltrendcontact

digital trend — kubernetes operations

We run the platform.

You ship the product.

We design, deploy and operate production Kubernetes across cloud and bare metal — migrations, delivery pipelines, and the pager after go-live.

regionus-east-2
nodeip-172-20-69-212 · arm64 · 1 vCPU
podwww-digitaltrend-5d7b7c4bcf-78dz5
imagewww-digitaltrend:2.3
uptime1d 5h
statusoperating

↑ read live from the pod serving this page — refresh to land on other replicas

services:

cloud-migration

Migration to cloud

Still running critical applications in-house? We plan and execute the move to AWS, Azure or GCP — landing zones, networking, identity and data — with a rollback path at every step.

containerisation

Migration to containers

We turn long-lived servers into Kubernetes-orchestrated workloads, so you get real horizontal scale and failover out of hardware you already pay for.

ci-cd

Delivery pipelines

Build, test and deploy on every commit. Reproducible images, progressive rollouts, and a one-command path back to the last good release.

capabilities:

managed-kubernetes

Cluster builds, upgrades and day-2 operations on EKS, GKE, AKS or your own hardware.

platform-engineering

Golden paths and self-service namespaces, so product teams deploy without filing tickets.

infrastructure-as-code

Every cluster, role and record in Terraform. No console clicks, no undocumented drift.

observability

Metrics, logs and traces wired end to end, with alerts that page a human only when they should.

security

RBAC, network policy, secret management, image scanning and audited access paths.

cost

Right-sized requests, spot and Graviton adoption, and autoscaling that gives capacity back when idle.

resilience

Multi-AZ topology, tested backups and restore drills — before you need them, not after.

support

We stay on after go-live. Upgrades, incidents and capacity planning are part of the engagement.

platform:

What we operate day to day — including on our own infrastructure.

cloud
  • AWS
  • Azure
  • GCP
  • bare metal
  • Graviton
  • spot
orchestration
  • Kubernetes
  • EKS
  • GKE
  • AKS
  • Karpenter
  • containerd
infrastructure
  • Terraform
  • OpenTofu
  • Helm
  • Kustomize
  • Ansible
delivery
  • GitHub Actions
  • GitLab CI
  • Argo CD
  • Flux
  • Jenkins
observability
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Loki
  • New Relic
networking
  • Cilium
  • Istio
  • Envoy
  • AWS LB Controller
  • CoreDNS
data
  • PostgreSQL
  • Kafka
  • Redis
  • Spark
  • Cassandra
security
  • External Secrets
  • Vault
  • Keycloak
  • IRSA
  • Trivy

approach:

Everything we build runs in your cloud accounts, under your version control. If you outgrow us, you keep all of it.

01 assess

We audit what you run today — architecture, spend, delivery process, and the failure modes you've learned to live with. You get a written findings doc either way.

02 design

A target architecture sized to your actual traffic and team, not a reference diagram. Every decision written down with the trade-off that drove it.

03 build

Clusters, pipelines and policy land as code in your repositories and your accounts. Nothing is provisioned by hand, so nothing is a mystery later.

04 operate

We stay on for upgrades, incidents and capacity planning — or hand over to your team with the runbooks and the context to own it.

work:

We build and operate GM ourselves. It runs on the same architecture we deploy for clients — same autoscaling, same GitOps, same pager.

product

GM — an AI general manager for location-based businesses

orchestration

Amazon EKS · multi-AZ

autoscaling

Karpenter · spot-first

compute

Graviton / arm64

delivery

Terraform · multi-arch images

contact:

Tell us what you run, and what hurts.

A migration you keep deferring, a cluster nobody wants to upgrade, a deploy that eats an afternoon. If we're not the right fit, we'll say so and point you at who is.