Container orchestration platform that automates deployment, scaling, and self-healing, ensuring high availability in production.
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Kubernetes monitors your application health and automatically restarts failed containers, replaces unresponsive nodes, and scales pods up or down based on traffic. Your application stays available during peak loads and recovers from failures without human intervention.
Of organisations use or evaluate Kubernetes
Downtime with rolling update deployments
Infrastructure cost savings with auto-scaling
WE WILL HELP YOU
Let's check what features we can integrate into your custom solution. Didn't find them on our list? Contact us personally, and we will offer you a custom set of features for your application development project.
We deploy production-grade Kubernetes clusters on EKS, GKE, AKS, or bare-metal, with RBAC, network policies, ingress controllers, cert-manager, and monitoring stack pre-configured and ready for workloads.
We containerise your existing applications, design Kubernetes manifests, set up Helm charts, and migrate workloads from VMs or bare-metal servers to Kubernetes with minimal disruption.
We build automated deployment pipelines using ArgoCD, Flux, or GitLab CI that deploy your applications to Kubernetes on every merge, with automated testing, canary deployments, and rollback capabilities.
We deploy Prometheus, Grafana, and Loki for comprehensive cluster monitoring, tracking resource usage, application metrics, logs, and alerting on anomalies before they affect users.
We tune resource requests/limits, implement cluster autoscaling, configure spot instances, and set up pod disruption budgets to run your Kubernetes infrastructure at optimal cost without sacrificing reliability.
