Dev Ops

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?

01

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.

Solution

Deploying Kubernetes with automatic Self-Healing, health checks (Probes) and horizontal autoscaling (HPA).

02

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.

Solution

We implement Canary and Blue-Green releases using Helm, ArgoCD (GitOps) and the Istio service mesh.

Tech Stack

Competency and Stack Catalog

What do you want to do?

Explain the idea in a couple of sentences. We'll come back with an estimate, deadlines and a plan - free of charge and under NDA.