Digital Ocean Basic (Regular) 512MB 1 [...], $ 4.00/mo. on Linux Cloud
Basic (Regular) 512MB 1 vCPU has been added on Oct 3, 2025, Aggregate Rating (2 out of 10 from 2 reviews)
| 💪 CPU/Cores : | 1 vCPU |
|---|---|
| 🔋 RAM : | 500 MB |
| 🆓 free domains : | 0 |
| 📌 Dedicated IPs : | 1 |
| 💳 Payment Methods : | Credit / Debit / Prepaid CardsPayPalWire Transfer |
| 🔨 Control Panel : | [In-house] |
| 🔧 Category : | Self Managed |
| ✍️ Support Options : | Help Desk |
| 🌏 Server Locations : | Canada Germany India Netherlands Singapore United Kingdom United States |
| ⚑ Targeting : | AU FR NL SG US |
| 🚀 Uptime : | 99.99 % |

See also initial Basic (Regular) 512MB 1 vCPU plan location on their website!
*📜 Plan description
Entry Basic Droplet with shared (burstable) CPU for tiny services and experiments. You get 512 MB RAM, 1 vCPU, 10 GB SSD, and 500 GB outbound transfer with per-second billing and a monthly cap. Launch in minutes from the control panel, API, or CLI; inject SSH keys and cloud-init user data to preconfigure packages and users. Attach Floating IPs for stable addressing, place instances inside VPC for private networking, and secure them with Cloud Firewalls that enforce inbound/outbound rules at the hypervisor. One-click images (LEMP/LAMP/Node.js, Docker, WordPress, Redis, etc.) from the Marketplace speed setup. Snapshots capture full disk images; optional automated Backups add scheduled restore points. Add Block Storage Volumes when you need more space; monitor CPU, disk, and network with integrated graphs and alerts. Teams & Projects organize access by environment, and tags help automate maintenance via the API. Designed to be cost-predictable while you learn, prototype, or host static sites.
📄 Editorial Review
DigitalOcean is a cloud-first provider (founded 2012) that targets developers, startups, and SMBs with simple tooling, predictable pricing, and a broad—but focused—product lineup. Their core compute service, Droplets (Linux VMs on SSD with KVM virtualization), can be deployed in minutes and integrate cleanly with networking, storage, and security features. The platform emphasizes a clean control panel, a mature API/CLI, and rich docs/tutorials so builders can stay productive without hyperscaler complexity.They now span a full IaaS/PaaS mix: Droplets (shared and dedicated CPU families, including Basic/General Purpose/CPU-Optimized/Memory-Optimized/Storage-Optimized), Managed Kubernetes (DOKS) with a free HA control plane and autoscaling, Functions for serverless, and App Platform for fully managed app deployments. Storage options include Spaces (S3-compatible object storage with CDN), Block Storage (Volumes), backups/snapshots, and a Container Registry. Managed data services cover PostgreSQL, MySQL, MongoDB, Valkey, OpenSearch, and Kafka—all designed to offload patching, failover, and routine ops.
DigitalOcean has also moved decisively into AI: Gradient™ AI introduces GPU Droplets and bare-metal GPUs (NVIDIA and AMD), 1-click model deployments, and a managed platform for agentic/LLM workflows. Networking features are practical and developer-friendly: Cloud Firewalls, Load Balancers (with Let’s Encrypt and HTTP/3), VPC and VPC peering, Reserved IPs/BYOIP, IPv6, always-on DDoS protection, and Partner Network Connect for private multi-cloud links.
Timeline
DigitalOcean launched in 2012 (TechStars), quickly expanded infrastructure and community in 2013–2016 with new regions (San Francisco, Frankfurt, Canada, Bangalore) and features like Floating IPs. From 2017–2019, they broadened the platform with research programs (Currents), startup support (Hatch), General Purpose Droplets, and DigitalOcean Kubernetes plus Managed Databases. In 2020 they hosted the Deploy conference and, in 2021, went public while adding serverless capabilities via the Nimbella acquisition. The momentum continued in 2022 with DigitalOcean Functions, DO Impact, Partner Pod, and the acquisition of Cloudways. In 2023, they acquired Paperspace and introduced Gradient™ AI offerings (including Managed Kafka and Premium CPU-Optimized Droplets), signaling a deliberate push into AI/ML alongside their core developer cloud.
Overall, they deliver a balanced combination of simplicity, scale, and price that suits everything from hobby projects to production SaaS.
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