Cloud & DevOps / Kubernetes
Cluster provisioning, deployments, scaling policies and ongoing operations, so your containerized applications run reliably as load changes, not just on a good day.
Why It Matters
Scaling policies are set against real metrics like CPU or request volume, so the cluster adds capacity during a spike and scales back down afterward, without someone watching a dashboard at midnight.
Health checks and automatic restarts mean a crashed pod is usually back up before it causes a visible outage, and alerts tell your team what happened instead of leaving it to a support ticket.
The cluster is set up on your chosen cloud provider or infrastructure.
Your containerized applications are configured to deploy onto the cluster.
Scaling rules are set against real load metrics and agreed capacity limits.
Health checks, restarts and alerting are configured before anything goes live.
The cluster is documented and handed over, or we continue running operations under an agreed arrangement.
A cluster set up on your chosen cloud provider or infrastructure.
Your containerized applications configured to deploy and update on the cluster.
Automatic scaling rules set against real load metrics and capacity limits.
Health checks and alerts configured so failures are caught early.
Failed pods restarted and work rescheduled onto healthy nodes.
Cluster configuration documented for your team to operate or extend.
Policies are set against your actual traffic patterns and budget, not a generic default.
Health checks and alerts are in place before the cluster carries real traffic, not added afterward.
Clusters are provisioned on the infrastructure you already use, using a managed service where one exists.
We can hand the cluster over fully documented, or continue running it under an agreed arrangement.
You work with the people who provisioned the cluster, not a relay through account management.
We provision the cluster on your chosen cloud provider or on your own infrastructure, define how your containerized applications deploy onto it, set scaling policies for expected load, and put monitoring in place before handing it over or taking on ongoing operations.
Yes, Kubernetes runs containerized applications, so containers need to exist first. If your application is not containerized yet, that work happens before or alongside the cluster setup.
Scaling policies are configured against metrics like CPU or request load, so the cluster adds or removes pods automatically within limits you set, rather than someone manually adjusting capacity during a traffic spike.
Yes. Once the cluster is provisioned, we can hand it over with documentation, or continue as an ongoing operations arrangement covering upgrades, monitoring and incident response.
The cluster is set up on the cloud provider or infrastructure you already use or prefer, using a managed Kubernetes service where one is available rather than requiring a specific vendor.
Kubernetes is configured to restart failed pods and reschedule work onto healthy nodes automatically, and alerts are set up so your team knows about a failure rather than discovering it from a user complaint.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. See the cluster plan before you decide.
