Digital Ocean Basic (Regular) 2GB 1 vCPU, $ 12.00/mo. on Linux Cloud


Basic (Regular) 2GB 1 vCPU has been added on Oct 3, 2025, Aggregate Rating (2 out of 10 from 2 reviews)
digitalocean.com
Digital Ocean
101 6th Ave
New York , NY 10013
US
☎ Phone +1.6463978051
💪 CPU/Cores :1 vCPU
🔋 RAM :2000 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 %
screenshot of Basic (Regular) 2GB 1 vCPU from digitalocean.com

See also initial Basic (Regular) 2GB 1 vCPU plan location on their website!

*📜 Plan description

Economical production entry for small web apps and databases. 2 GB RAM, 1 shared vCPU, 50 GB SSD, and 2 TB transfer support typical LAMP/LEMP stacks, small Postgres/MySQL instances, or a caching layer. You get per-second billing, automated DNS management, and easy image rebuilds. Harden access with Cloud Firewalls and VPC; add Floating IPs for failover. Create Snapshots before upgrades; enable Backups to automate weekly recovery points. The Marketplace offers one-click stacks and control panels; use tags to orchestrate maintenance across fleets with the API or doctl. Combine with Managed Kubernetes to run containers that reach this Droplet over private networking, and front traffic with a Load Balancer. Monitoring/alerts help right-size resources as traffic grows without surprise overage fees.

📄 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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