Inactive
Simplifying IT
for a complex world.
Platform partnerships
- AWS
- Google Cloud
- Microsoft
- Salesforce
Containerized applications can run in a secure and flexible cloud environment using IBM Kubernetes Service. It allows teams to focus on building and improving applications while the platform handles cluster operations in the background.
As an IBM Gold Partner, Star Systems streamlines the deployment and scaling of your containerized workloads using the IBM Cloud Kubernetes Service. We provide a fully managed, enterprise-grade environment that features automated scaling, self-healing clusters, and robust built-in security. By leveraging our expertise, your business can accelerate cloud-native innovation while we handle the operational complexity of managing and securing your Kubernetes infrastructure.
Provide end-to-end IBM Kubernetes Service implementation, from cluster design and deployment to custom workload configuration, application hosting, and automated backup strategies. Our expertise ensures your containerized applications run reliably at scale.
Production-ready Kubernetes clusters are structured for stability and scalability. The setup supports high availability and long-term workload performance.
Application workloads are configured to run efficiently inside Kubernetes clusters. Proper resource planning ensures balanced performance and reliability.
Containerized applications are hosted with controlled traffic routing and storage support. The environment supports secure communication across microservices.
Cluster backups are configured to protect applications and critical data. Disaster recovery planning ensures quick restoration during failures.
Cluster networking is structured for secure pod-level communication. Traffic control policies help protect workloads and optimize performance.
Security controls are implemented to protect clusters and application workloads. Compliance practices are aligned with enterprise governance standards.

Fully Managed Control Plane
IBM manages the master nodes, etcd, and critical control plane components. maintenance are handled as cluster operations.
Integrated Security
Advanced security scanning, RBAC configuration, and network policy controls are included.
Multi Zone Resilience
Worker nodes are distributed across multiple availability zones for fault tolerance.
Auto Scaling Capabilities
Cluster and pod auto-scaling adjusts resources automatically based on usage metrics.
Microservices Framework
Deploy distributed microservices with independent scaling, service discovery, load balancing, and automated rollouts for agile application development.
CI/CD & DevOps Platforms
Host CI/CD tools like Jenkins, GitLab, and Argo CD on Kubernetes with automated testing pipelines and containerized build environments.
Batch Processing
Run batch jobs, ETL processes, and data processing workloads using Kubernetes Jobs and CronJobs with Velero backup for data protection.

Define cluster requirements including node types, network policies, storage needs, and high-availability strategy.
Provision Kubernetes cluster with multi-zone worker pools, configure networking, and set up storage classes.
Create Kubernetes manifests, configure Helm charts, set up namespaces, and define resource quotas.
Deploy containerized applications, configure ingress routes, implement network policies, and set up monitoring.
Install Velero, configure backup schedules, test disaster recovery procedures, and document restore processes.
Optimize resource utilization, implement auto-scaling, provide operational training, and establish support procedures.
1. Can you migrate our existing applications to Kubernetes?
Yes, existing applications can be assessed and containerized based on compatibility. A structured migration approach ensures minimal disruption and proper workload optimization.
2.How do you ensure security inside the Kubernetes cluster?
Security controls such as RBAC, network policies, vulnerability scanning, and secure secret management are implemented. This ensures controlled access and protection for sensitive workloads.
3.Do you provide support for high availability deployments?
Clusters can be configured across multiple availability zones for fault tolerance. This setup improves uptime and reduces risk of service interruptions.
4. Can Kubernetes automatically scale based on demand?
Yes, cluster auto-scaling and Horizontal Pod Autoscaling can be configured. This allows applications to handle traffic growth without manual intervention.
5. Do you provide ongoing support after deployment?
Post deployment support includes monitoring, optimization, upgrades, and operational guidance. Continuous assistance helps maintain performance and long-term stability.