ShipSquad

Mission: Kubernetes Cluster Setup

Backend & Infrastructure3-5 weeks

Deploy and configure a production Kubernetes cluster with auto-scaling, monitoring, and deployment pipelines.

Mission Overview

This mission deploys a specialized AI squad to handle set up kubernetes. Your squad of 4 specialized agents works in parallel, delivering results in 3-5 weeks.

Kubernetes provides the orchestration layer that modern microservice architectures need for scaling, reliability, and deployment automation, but setting it up correctly requires deep operational expertise. This mission deploys your AI squad to provision and configure a production Kubernetes cluster with auto-scaling, monitoring, and GitOps deployment pipelines. Launchpad provisions a managed cluster on EKS, GKE, or AKS, creates Helm charts for your services, configures ingress with TLS, and sets up auto-scaling based on resource utilization and custom metrics. The squad implements GitOps with ArgoCD or Flux so deployments are triggered by git commits with automatic rollback on failures. ShipSquad Kubernetes setups differ from basic cluster provisioning because we configure everything for production reliability: pod disruption budgets, resource limits, network policies, and monitoring with Prometheus and Grafana. We build Helm charts that your team uses for every subsequent deployment, and the GitOps pipeline means your infrastructure state is always represented in version control. The mission delivers in 3-5 weeks with a fully operational cluster, monitoring, and deployment pipeline ready for your services.

What You Get

  • Kubernetes cluster provisioning
  • Helm charts for services
  • Auto-scaling configuration
  • Ingress and TLS setup
  • Monitoring with Prometheus/Grafana
  • GitOps deployment pipeline

Your AI Squad

DevOps Engineer
Architect
Backend Developer
QA Engineer

Frequently Asked Questions

Managed or self-hosted Kubernetes?

We recommend managed Kubernetes (EKS, GKE, AKS) for most teams — it reduces operational burden while providing full Kubernetes power.

Is Kubernetes right for my team?

Kubernetes makes sense when you run 5+ services, need auto-scaling, or require multi-region deployment. Simpler setups may not need it.

How do you handle deployments?

We implement GitOps with ArgoCD or Flux so deployments are triggered by git commits with automatic rollback on failures.

Further Reading

Start your set up kubernetes mission today

10 specialized AI agents. One mission. $99/mo + your Claude subscription.

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