Migrating from DigitalOcean to AWS: Service Mapping and Guide

DigitalOcean earns its reputation as the developer-friendly cloud. Flat pricing, a clean control panel, and opinionated defaults let a solo developer go from signup to running server in minutes. That simplicity is genuinely valuable — until it is not.

Teams migrating to AWS are typically pushed by one of four forces: compliance requirements their current cloud cannot meet, growth into AI/ML workloads that need Bedrock or SageMaker, Kubernetes complexity that DOKS cannot handle at scale, or an enterprise customer asking for AWS-specific integrations. This guide is written for the engineering team that has hit one of those walls.

We are an AWS Select Tier Consulting Partner, so we are transparent about our perspective — but we will also tell you clearly when DigitalOcean is the better fit.

When DigitalOcean Starts Showing Its Limits

DigitalOcean is purpose-built for simplicity. That simplicity has a cost at scale:

• No native serverless compute. App Platform runs containers, not functions. There is no equivalent of Lambda or API Gateway.
• DOKS has ceiling limitations. DigitalOcean Kubernetes Service works well for small-to-medium clusters, but lacks advanced node pool features, Karpenter-style autoscaling, and the operational tooling available in EKS.
• Compliance coverage is narrower. DigitalOcean holds SOC 2 Type II. If your customers require HIPAA, PCI DSS Level 1, or FedRAMP, you will need to move.
• No AI/ML managed services. There is no DigitalOcean equivalent of SageMaker for model training or Bedrock for foundational model access.
• Smaller global footprint. DigitalOcean operates in around 15 regions; AWS operates in 33 geographic regions with 105 Availability Zones.

DigitalOcean to AWS Service Mapping

Cost Comparison

DigitalOcean pricing is simpler and cheaper for small, steady workloads. The calculus changes at scale.

Bottom line: DigitalOcean wins for simple, small setups without commitments. AWS wins when you commit via Reserved Instances or Savings Plans, run variable workloads (per-second billing + auto-scaling), or need services with no DigitalOcean equivalent.

Migration Approach

Phase 1: Inventory and Mapping (Week 1)

Document every Droplet, Space, database, and firewall rule. Map each to an AWS equivalent using the table above. Identify dependencies between services and any DigitalOcean-specific APIs your application calls.

Phase 2: Provision AWS Infrastructure (Week 1–2)

Use Terraform or AWS CloudFormation to provision equivalent infrastructure in your target AWS region. We recommend us-east-1 or us-west-2 for most teams, or your closest region. Set up VPC, subnets, security groups, and IAM roles before migrating any workloads.

Phase 3: Data Migration

Databases: Use AWS Database Migration Service (DMS) to replicate your DigitalOcean Managed Database to RDS with minimal downtime. DMS supports ongoing replication, so you can run both databases in parallel until cutover.

Object Storage: Sync your Spaces buckets to S3 using the AWS CLI (aws s3 sync with the --endpoint-url flag pointing at your Spaces endpoint), or use rclone for more control over large bucket migrations.

Phase 4: Container Workload Migration (DOKS → EKS or Fargate)

If you are running Kubernetes on DOKS, your manifests are largely portable to EKS — both run standard Kubernetes. Key differences: node pool configuration, ingress controller (switch from NGINX Ingress to AWS Load Balancer Controller), and storage classes (replace DigitalOcean CSI driver with AWS EBS or EFS CSI drivers).

For teams that want to reduce Kubernetes operational overhead, this migration is a good opportunity to evaluate Fargate — you define task definitions instead of managing node groups.

Phase 5: DNS Cutover and Validation

Run your application in parallel against AWS infrastructure, validate behavior, then update DNS records. Use a low TTL (60 seconds) before cutover so you can roll back quickly if needed.

What DigitalOcean Does Better

Being direct: DigitalOcean is a better choice in several scenarios.

• Solo developers and small teams who want a running server in 5 minutes without learning IAM, VPCs, or security groups.
• Predictable, flat workloads where DigitalOcean’s monthly pricing is easier to budget than AWS’s per-second, per-request model.
• Developer experience. The DigitalOcean control panel is significantly simpler than the AWS Console for common tasks.
• Minimum cost. You can run a real application on DigitalOcean for $6/month. AWS’s minimum viable setup (EC2 + RDS + ALB) costs $80–100/month.

When AWS Wins

• Compliance requirements: SOC 2, HIPAA, PCI DSS, FedRAMP, ISO 27001 — AWS covers them; DigitalOcean covers some.
• Need for Bedrock (multi-model LLM access) or SageMaker (ML training and inference pipelines).
• Enterprise customer requirements or procurement mandates specifying AWS.
• Global distribution across more than 15 regions.
• Complex auto-scaling workloads where per-second billing and Spot Instances provide material savings.

Ready to Migrate?

FactualMinds specializes in production migrations from other cloud providers to AWS. We handle infrastructure provisioning, database migration, container re-platforming, and cost optimization.

Talk to our team about your migration or learn more about our AWS Migration service.