Scale on demand
Horizontal and node-pool autoscaling keep capacity matched to traffic — no manual scaling, no over-provisioning the steady state.
Usecase · Migrate to Kubernetes
Skip the Kubernetes learning curve. Go live on EKS, GKE or AKS in 30 mins.
Identical managed clusters, observability and autoscaling on your own cloud — without hiring DevOps or Kubernetes expertise into your team.
No credit card required
Managed Kubernetes on
AWS
GCP
Azure
AWSGCPAzureWhy Kubernetes
One runtime, for every workload.
Teams that standardise on Kubernetes stop reinventing deployment, scaling and recovery for each new service.
Self-heal on failure
Crashed pods reschedule automatically. Failed nodes drain and replace themselves. The cluster keeps your services up while you sleep.
Golden path: containers
One runtime contract — ship a container. Backend, frontend, jobs, ML inference all run the same way. No bespoke per-service plumbing.
Cloud-neutral runtime
Workloads are portable. The day you outgrow one cloud or need to land on a customer's, your services move without a rewrite.
Easiest path to Kubernetes
Three steps, under 30 minutes total.
Connect a cloud account, stand up a managed cluster, ship your first service — start to finish in the same coffee break.
- ~1m
Connect your cloud account
AWS, GCP or Azure — through a keyless, least-privilege role.
AWS
GCP
Azure
- ~20m
Spin up a managed cluster
One click stands up a production-grade Kubernetes environment with network, storage and security pre-configured.
cluster · ready in ~20m - ~10m
Connect repo & deploy
Install the LocalOps app on GitHub or GitLab and start shipping services to the cluster.
- GitHub
- GitLab
Total · < 30m
Managed environments
LocalOps heavy-lifts Kubernetes, so you don't have to.
Identical clusters across dev, qa, staging and production — provisioned, configured and kept up-to-date by LocalOps. You get the runtime; we own the lifecycle.
Identical clusters in ~30 mins
Dev, qa, staging and production stand up the same way, every time.
Production defaults, day one
Network, compute, storage and security configured to a hardened baseline.
Lifecycle on us
Cluster and add-on upgrades managed by LocalOps — no nights or weekends on your team.
Environment matrix~30m each
Cluster
dev
- net · ✓
- k8s · ✓
- storage · ✓
- policy · ✓
Cluster
qa
- net · ✓
- k8s · ✓
- storage · ✓
- policy · ✓
Cluster
staging
- net · ✓
- k8s · ✓
- storage · ✓
- policy · ✓
Cluster
production
- net · ✓
- k8s · ✓
- storage · ✓
- policy · ✓
Observability stack · in-clusterfree
- lokilogs · stdout / stderr
- prometheusmetrics · service + infra
- grafanadashboards + alerting
- cloudrds, sqs, lambda picked up too
AIOps readyLookout AI →
Built-in observability gives Lookout AI the signal it needs to triage alerts and root-cause incidents in under a minute — no extra instrumentation work.
Monitoring + AIOps · built in
In-built monitoring and AIOps, from day one.
Every cluster ships with the observability stack pre-installed — Loki for logs, Prometheus for metrics, Grafana for dashboards and alerts. Cloud-managed services like RDS land in the same Grafana too.
- Loki pre-installed for logs
- Prometheus records service + infra metrics
- Grafana for dashboards and alerting
- Covers cloud services like RDS too
Your extended DevOps team
We run Kubernetes, on your Slack or MS Teams.
Real DevOps engineers on a channel with your team — not a ticket queue. Pick a support plan that matches the bandwidth you already have.
Full CloudOps package
LocalOps becomes your DevOps team. We own P0 + P1, scale planning, upgrades and security reviews on your cluster.
- 24×7 P0 + P1 on-call
- Cluster + add-on upgrade ownership
- Slack + MS Teams channel with our engineers
Pick P0 / P1 support
Keep your engineers on product work. Hand off pager-duty for production incidents to LocalOps.
- P0 + P1 incident response
- Co-owned runbooks
- Slack-based escalation
Get started
Set up your first managed cluster this afternoon.
Sign up on the free plan, connect a cloud account and a repo, and start deploying services on Kubernetes inside your VPC.
FAQs
Kubernetes migration questions, answered.
Can't find what you're looking for? Email support@localops.co.
Do I need Kubernetes expertise on my team to use LocalOps?
No. LocalOps owns cluster provisioning, configuration, upgrades and add-ons. Your developers interact with a console — create services, ship code, roll back — without writing Helm charts or touching kubectl.
Which managed Kubernetes service does LocalOps use under the hood?
EKS on AWS, GKE on Google Cloud and AKS on Azure. We provision the managed control plane and a hardened node-pool layout in your account — no LocalOps-hosted control plane in the middle.
How long does it take to bring up a new cluster?
Around 30 minutes for a production-ready environment with network, storage, security and the in-cluster observability stack pre-configured. Subsequent environments (qa, staging, etc.) follow the same template.
How are cluster and add-on upgrades handled?
LocalOps tracks Kubernetes versions and the open-source add-ons we install (Loki, Prometheus, Grafana, ingress, etc.) and rolls upgrades through your environments with your approval — typically staging first, then production.
Can I still use cloud-managed databases like RDS or Cloud SQL?
Yes. LocalOps provisions managed databases on your cloud and wires services up to them. Application metrics from those services and infrastructure metrics from the managed services both land in the same Grafana.
What about workloads that need to stay outside Kubernetes?
You can run cloud-managed services (RDS, SQS, Lambda, etc.) alongside the cluster and LocalOps still tags them, monitors them and surfaces them in the same console as your Kubernetes workloads.
How does this become 'AIOps ready'?
Because every cluster ships with Loki, Prometheus and Grafana wired up to your services and infra by default, Lookout AI has the signal it needs to triage alerts and root-cause incidents from day one — no extra instrumentation project required.
Where does my code and data live?
On your own cloud account. LocalOps assumes a least-privilege role and provisions clusters and workloads inside your VPC. We don't copy your code or production data out of your cloud.
What happens if we want to leave LocalOps later?
Clusters, container images and infrastructure all live in your cloud account. You can inspect, export and continue to operate them with your own DevOps team — there's no lock-in to escape.