Deployment

Cloud Provider Deployment

A planned guide for deploying a hosted Dits server on major cloud providers using managed databases, storage, and Kubernetes.

Important

Planned — not yet available. There is no Dits server image or Helm chart to deploy today, and thecharts.dits.iorepository does not exist. The cloud deployments below are part of the roadmap. Dits today is a local-first Rust CLI — there is nothing to host. Treat these examples as illustrative of the intended design, not working instructions.

Supported Cloud Providers

Amazon Web Services

Full integration with AWS services

EKS for Kubernetes
RDS for PostgreSQL
S3 for chunk storage
ElastiCache for Redis
CloudFront CDN

Google Cloud

Native GCP integration

GKE for Kubernetes
Cloud SQL for PostgreSQL
Cloud Storage for chunks
Memorystore for Redis
Cloud CDN

Microsoft Azure

Enterprise Azure integration

AKS for Kubernetes
Azure Database for PostgreSQL
Blob Storage for chunks
Azure Cache for Redis
Azure CDN

Deployment Guides

AWS Deployment

Deploy on Amazon EKS with managed services

1. Create EKS Cluster

# Using eksctl
eksctl create cluster \
  --name dits-cluster \
  --region us-east-1 \
  --nodegroup-name workers \
  --node-type m5.large \
  --nodes 3 \
  --nodes-min 2 \
  --nodes-max 10

2. Configure S3 Storage

# Create S3 bucket
aws s3 mb s3://dits-chunks-bucket --region us-east-1

# Create IAM policy for S3 access
aws iam create-policy --policy-name DitsS3Access \
  --policy-document file://s3-policy.json

3. Deploy Dits

# Add Helm repo and install
helm repo add dits https://charts.dits.io
helm install dits dits/dits-server \
  --set storage.type=s3 \
  --set storage.bucket=dits-chunks-bucket \
  --set storage.region=us-east-1

Cost Optimization

Compute Optimization

Use spot/preemptible instances for workers
Right-size your instances
Enable auto-scaling with appropriate limits
Use reserved instances for baseline capacity

Storage Optimization

Use storage tiers (hot/cold/archive)
Enable deduplication at storage level
Set lifecycle policies for old data
Use regional storage for better pricing

Multi-Region Deployment

For global teams, deploy Dits across multiple regions for low latency and high availability:

# Example multi-region Helm values
regions:
  - name: us-east
    primary: true
    storage:
      bucket: dits-chunks-us-east

  - name: eu-west
    primary: false
    storage:
      bucket: dits-chunks-eu-west
    replicate_from: us-east

  - name: ap-southeast
    primary: false
    storage:
      bucket: dits-chunks-ap-southeast
    replicate_from: us-east

Enterprise Support

For complex cloud deployments, our team can help with architecture design and implementation. Contact us for details.