Enterprise Kubernetes Deployment Guide for Space Sign

Running Space Sign on Kubernetes enables enterprise-grade scalability, high availability, and simplified operations. This comprehensive guide covers production deployment with Helm charts, auto-scaling, monitoring, and disaster recovery.

Why Kubernetes for Space Sign?

Benefits of Container Orchestration

Scalability:

High Availability:

Operational Excellence:

Cost Optimization:

Prerequisites

Before deploying, ensure you have:

Infrastructure:

Resources:

Access:

Architecture Overview

Deployment Components

Application Layer:

Data Layer:

Supporting Services:

Helm Chart Installation

Quick Start

Add the Space Sign Helm repository:

Step 1: Add Repository

helm repo add spacesign https://charts.spacesign.com

helm repo update

Step 2: Create Namespace

kubectl create namespace spacesign-prod

Step 3: Configure Values

Create a values-production.yaml file with your customizations.

Step 4: Install Chart

helm install spacesign spacesign/spacesign --namespace spacesign-prod --values values-production.yaml

Production Values Configuration

Complete production configuration:

Create a values.yaml with these production settings:

Global Configuration:

Database Configuration:

Redis Configuration:

Application Configuration:

Ingress Configuration:

Monitoring:

Storage Configuration

Persistent Volume Claims

Space Sign requires persistent storage for:

Storage Classes:

Option 1: Cloud Provider Storage

Use managed storage from your cloud provider (AWS EBS, Azure Disk, GCP Persistent Disk)

Option 2: Network Storage

Configure NFS or Ceph for shared storage across nodes

Option 3: Local Storage

Use local SSDs with StatefulSets for high performance

Database Persistence

PostgreSQL StatefulSet:

Configure with proper volume claims, backup schedules, and replication settings for production use.

High Availability Setup

Multi-Region Deployment

Active-Active Configuration:

Deploy Space Sign across multiple regions:

Regional Architecture:

Each region contains:

Pod Disruption Budgets

Protect critical services:

Configure PodDisruptionBudgets to ensure minimum availability during node maintenance and updates.

Example Configuration:

Auto-Scaling Configuration

Horizontal Pod Autoscaler

CPU-Based Scaling:

Scale frontend pods based on CPU utilization (target 70%)

Custom Metrics Scaling:

Scale based on Space Sign specific metrics:

Cluster Autoscaler

Node Auto-Scaling:

Automatically add/remove nodes based on:

Configuration:

Network Configuration

Ingress Setup

Nginx Ingress Controller:

Production configuration includes:

Service Mesh (Optional)

Istio Integration:

For advanced traffic management:

Security Hardening

Pod Security Policies

Enforce security standards:

Network Policies

Restrict pod-to-pod communication:

Frontend pods:

API pods:

Database pods:

Secrets Management

Options:

Option 1: Kubernetes Secrets

Basic secrets with encryption at rest enabled

Option 2: HashiCorp Vault

Advanced secrets management with dynamic credentials

Option 3: Cloud Provider Secrets

AWS Secrets Manager, Azure Key Vault, GCP Secret Manager

Best Practices:

Monitoring & Observability

Prometheus Metrics

Space Sign Metrics:

System Metrics:

Grafana Dashboards

Pre-built Dashboards:

Application Dashboard:

Infrastructure Dashboard:

Logging with ELK Stack

ElasticSearch + Logstash + Kibana:

Centralized logging for:

Log Aggregation:

All pods ship logs to central ElasticSearch cluster with proper indexing and retention policies.

Backup & Disaster Recovery

Database Backups

Automated Backup Strategy:

Daily Full Backups:

Hourly Incremental Backups:

Backup Testing:

Application State Backup

Velero for Kubernetes:

Backup entire namespace including:

Schedule:

CI/CD Integration

GitOps with ArgoCD

Automated Deployment Pipeline:

Development Flow:

1. Developer pushes code

2. CI builds Docker image

3. Updates Helm values in Git

4. ArgoCD detects changes

5. Automatically deploys to cluster

Benefits:

Blue-Green Deployments

Zero-Downtime Updates:

Strategy:

1. Deploy new version (green)

2. Run smoke tests

3. Switch traffic gradually

4. Monitor metrics

5. Rollback if issues detected

Performance Tuning

Resource Optimization

Right-Sizing Pods:

Frontend:

API:

Workers:

Caching Strategy

Multi-Layer Caching:

Redis Cache:

CDN Caching:

Database Optimization

PostgreSQL Tuning:

Key settings for production:

Connection Pooling:

Use PgBouncer to manage database connections efficiently.

Troubleshooting Guide

Common Issues

Pods Stuck in Pending:

High Memory Usage:

Slow API Response:

Failed Deployments:

Debug Commands

Useful kubectl commands for troubleshooting:

View Pod Status:

kubectl get pods -n spacesign-prod

View Pod Logs:

kubectl logs -f pod-name -n spacesign-prod

Describe Pod:

kubectl describe pod pod-name -n spacesign-prod

Execute in Pod:

kubectl exec -it pod-name -n spacesign-prod -- /bin/bash

View Events:

kubectl get events -n spacesign-prod --sort-by='.lastTimestamp'

Cost Optimization

Resource Efficiency

Vertical Pod Autoscaler:

Automatically adjust resource requests based on actual usage

Cluster Autoscaler:

Scale nodes down during low traffic

Spot Instances:

Use preemptible/spot instances for non-critical workloads (workers)

Cost Monitoring

Track Spending:

Estimated Monthly Costs:

Small Deployment (< 1000 users):

Medium Deployment (1000-10000 users):

Large Deployment (10000+ users):

Conclusion

Deploying Space Sign on Kubernetes provides:

✅ Enterprise-grade reliability with HA and auto-scaling

✅ Operational simplicity through automation

✅ Cost efficiency with optimized resource usage

✅ Security with network policies and secrets management

✅ Observability with comprehensive monitoring

Next Steps:

1. Set up your Kubernetes cluster

2. Install the Space Sign Helm chart

3. Configure monitoring and alerts

4. Test disaster recovery procedures

5. Optimize performance based on metrics

Need help with your Kubernetes deployment? [Request enterprise support](/request-a-demo) or [join our community](https://github.com/pmspaceai7-wq/space-sign/discussions).