Cloud Provider
DigitalOcean
The developer cloud. Simple, affordable, predictable.
DigitalOcean is built for developers and startups who want to ship fast without the complexity of hyperscalers. Its curated service set, predictable flat-rate pricing, and legendary documentation make it the cloud of choice for thousands of startups.
15
Data center regions
$0.00
Egress fees (free bandwidth)
600K+
Customers worldwide
Advantages
Radically simple developer experience
Spin up a Droplet (VM) in 55 seconds. Create a managed Kubernetes cluster in minutes. DigitalOcean's UX is the cleanest and most intuitive in the industry — no certification required to use it effectively.
Predictable, honest pricing
Flat monthly rates for compute, storage, and bandwidth. No surprise egress fees, no per-request pricing, no billing nightmares. Budget a month out with confidence.
Legendary documentation
DigitalOcean's community tutorials are industry-famous. They often outperform AWS and GCP official docs for common tasks — and they are free for everyone, not just DigitalOcean customers.
Cost-efficient for typical startup workloads
For web apps, APIs, and databases at typical startup scale, DigitalOcean is 40-60% cheaper than equivalent AWS or GCP configurations — without sacrificing reliability.
Excellent managed databases
Managed PostgreSQL, MySQL, Redis, MongoDB, and Kafka — fully automated backups, failover, and updates. Zero database operations burden for small teams.
Disadvantages
Limited managed service catalog
No equivalent to Lambda, SageMaker, SQS, SNS, or the hundreds of AWS specialised services. For complex multi-service architectures, you will hit gaps quickly.
Fewer regions than hyperscalers
15 data centers vs. AWS's 32 regions and 102 AZs. Not suitable for globally distributed, latency-sensitive applications serving users across all continents.
No enterprise compliance portfolio
SOC 2 Type II and ISO 27001, but no FedRAMP, HIPAA Business Associate Agreement, or the deep regulatory compliance stack enterprises often require.
Limited GPU and ML infrastructure
GPU Droplets exist but are limited compared to AWS, Azure, or GCP. Not a viable platform for serious machine learning training workloads.
Typical use cases
- 1Web applications and APIs for startups and SMEs up to Series A/B scale
- 2Development, staging, and testing environments
- 3Small to medium Kubernetes clusters for product teams
- 4Managed database hosting without operational overhead
- 5SaaS MVPs that need to move fast without cloud complexity
Best for
Early-stage startups and small teams who want fast, affordable, and simple cloud infrastructure without the complexity tax of hyperscalers. Ideal up to a few hundred thousand monthly active users.
How we work with DigitalOcean
We design, deploy, and operate DigitalOcean infrastructure for startups and scaling teams — from initial architecture to production Kubernetes clusters, cost optimisation, and 24/7 monitoring.
Book a free architecture reviewReady to build on DigitalOcean?
We handle architecture, Kubernetes, CI/CD, and operations so your team focuses on product.