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Kubernetes Deployment

Production-ready Kubernetes clusters for scalable container orchestration — crafted by QTT.

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As containerized applications grow beyond a handful of services, manually managing them becomes unsustainable. Kubernetes automates deployment, scaling, and recovery — but only when the cluster is configured correctly.

At Queen Touch Technology (QTT), we set up production-ready Kubernetes clusters — on AWS, Azure, Google Cloud, or self-managed infrastructure — configuring deployments, scaling policies, and networking so your containerized applications run reliably at scale.

Explore our Docker Deployment services if you need to containerize your application before orchestrating it with Kubernetes.

1. Cluster Setup & Configuration

We set up and configure Kubernetes clusters on your cloud provider of choice, establishing the networking, storage, and security foundations your workloads need.

2. Deployment & Scaling Policies

We configure deployments, replica sets, and horizontal pod autoscaling, so your applications scale automatically based on real demand.

  • Cluster setup with proper networking and security foundations.
  • Automated scaling based on real-time resource demand.
  • Rolling updates and rollback strategies for safe deployments.

3. Service Discovery & Load Balancing

We configure services and ingress controllers for reliable internal communication and external traffic routing across your cluster.

4. Rolling Updates & Rollback Strategies

We implement rolling deployment strategies with automated rollback, minimizing downtime and risk during application updates.

5. Monitoring & Resource Management

We integrate monitoring and resource limits, giving you visibility into cluster health and preventing any single service from consuming excessive resources.

"Kubernetes is powerful, but a misconfigured cluster causes more problems than it solves. At QTT, we build Kubernetes deployments engineered to actually reduce operational overhead."

Sathish Kumar S, Founder & CEO, Queen Touch Technology