Run Containers That Scale
Cluster provisioning, deployments, scaling policies and ongoing operations, so your containerized applications run reliably as load changes, not just on a good day.
50+ ERP and software projects. Zero failed projects since 2021.
A cluster that is switched on is not the same as one that is operated
Provisioning Kubernetes is the easy part. Scaling policies, health checks and upgrade practices decide whether it holds up under real traffic.
Capacity adjusts to load instead of waiting on a person
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.
- Scaling limits set to match your budget.
- No manual intervention needed for routine spikes.
- Capacity scales back down when load drops.
A failed pod is restarted automatically, not discovered from a complaint
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.
- Automatic restarts for failed pods.
- Work rescheduled onto healthy nodes.
- Alerts sent to your team, not just logged.
What a set of running pods looks like day to day
Illustrative example. Your actual pod count and status depend on your application and load.
From containerized applications to a cluster running in production
Everything covered in a Kubernetes engagement
Cluster provisioning
A cluster set up on your chosen cloud provider or infrastructure.
Deployment configuration
Your containerized applications configured to deploy and update on the cluster.
Scaling policies
Automatic scaling rules set against real load metrics and capacity limits.
Monitoring and alerts
Health checks and alerts configured so failures are caught early.
Automatic recovery
Failed pods restarted and work rescheduled onto healthy nodes.
Documentation and handover
Cluster configuration documented for your team to operate or extend.
What Kubernetes changes for how your application runs
Why teams choose TCB Infotech for Kubernetes
Kubernetes, answered
What does setting up Kubernetes for us actually involve?
Do our applications need to already be containerized?
How does scaling actually work once it is set up?
Can you operate the cluster after it is set up, not just build it?
Which cloud provider does this work with?
What happens if a pod or node fails?
Start With Your Cluster Setup
Get containers that scale with real load and recover from failures on their own. Book a free consultation to review your current infrastructure.
Book a Free Consultation →No commitment. See the cluster plan before you decide.
How Kubernetes Cluster Operations Work
From a provisioned cluster to a set of deployments that scale on their own and recover from failure. Here is how we set it up and keep it running.
Provisioning, deploying and scaling, in that order
A cluster set up on the infrastructure you already use
The cluster is provisioned on your chosen cloud provider or on your own infrastructure, using a managed Kubernetes service where one is available to reduce the operational load on your team.
- Matched to your existing cloud provider.
- Sized for your current and expected load.
- Access and networking configured securely.
Containerized applications configured to deploy onto the cluster
Each containerized service is configured with the deployment rules the cluster needs, including how many copies to run and how updates should roll out without downtime.
- Rolling updates configured to avoid downtime.
- Resource limits set per service.
- Rollback available if a deployment fails.
Capacity and health checks configured before the cluster carries real traffic
Scaling policies are tied to real load metrics, and health checks, restarts and alerts are put in place so the team knows about a problem before a user reports it.
- Scaling limits set against your budget.
- Health checks and automatic restarts configured.
- Alerts routed to your team, not just logged.
Everything included in cluster setup and operations
Cluster provisioning
A cluster set up on your chosen cloud provider or infrastructure.
Deployment configuration
Applications configured to deploy and update on the cluster.
Scaling policies
Automatic scaling rules set against real load metrics.
Monitoring and alerts
Health checks configured so failures are caught early.
Automatic recovery
Failed pods restarted and rescheduled automatically.
Documentation and handover
Cluster configuration documented for your team.