Kubernetes
Automatic orchestration, scaling and balancing of microservices for fault-tolerant operation of systems under extreme loads.
- 0s
- Downtime when rolling out updates (Zero-Downtime Deployment)
- < 10s
- Time to automatically restart a failed instance
- 100%
- Automation of load distribution between nodes
Are you facing these issues?
The complexity of manual control of dozens of services in production
Manually monitoring and restarting hundreds of containers increases the risk of human error and increases downtime.
Deploying Kubernetes with automatic Self-Healing, health checks (Probes) and horizontal autoscaling (HPA).
Risk of service failure when rolling out untested releases
Direct updating of services leads to errors for users when hidden bugs are detected in the code.
We implement Canary and Blue-Green releases using Helm, ArgoCD (GitOps) and the Istio service mesh.