Sealos
Kubernetes cloud OS you drive with a prompt instead of YAML
Overview
Sealos packages Kubernetes into a pay-as-you-go cloud operating system: DevBox cloud IDE environments, managed Postgres/MySQL/Redis/MongoDB, S3-compatible storage and natural-language deploys. Open-source (Apache 2.0), self-hostable or run as managed cloud.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 4 vCPU / 4GB RAM
- 5GB storage
- 100 AI credits
- 2 vCPU / 2GB RAM
- 10GB disk, 10GB traffic
- 100 AI credits
- 4 vCPU / 4GB RAM
- 20GB disk, 50GB traffic
- 300 AI credits
- 8 vCPU / 16GB RAM
- 300GB traffic
- 99.99% SLA, priority support
- 16 vCPU / 32GB RAM
- 1TB traffic
- 24/7 dedicated support
- 64 vCPU / 128GB RAM
- 3TB traffic
- 1,500 AI credits
Use cases
What you can produce with Sealos
- Cloud DevBox environments (connects to local IDE)
- One-click managed Postgres, MySQL, Redis, MongoDB
- S3-compatible object storage
- Prompt-to-deploy / natural-language app deployment
- Kubernetes-native, open-source core (Apache 2.0)
- Self-hosted or managed cloud options
- Pay-as-you-go billing, no fixed seats
ASEAN Perspective
Sealos in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Sealos strips away Kubernetes' YAML tax: DevBox environments connect straight to your IDE, databases spin up managed and ready, and a prompt-to-deploy layer lets you describe what you want instead of writing manifests. For solo developers and small teams who want cluster-grade infrastructure without a platform engineer on staff, it's a genuinely capable, inexpensive alternative to hyperscaler PaaS offerings — Sealos claims 10-40% savings over running the same workloads directly on public cloud.
The trade-off is maturity. The managed cloud is smaller and newer than AWS or DigitalOcean's app platforms, self-hosting still assumes comfort with Kubernetes concepts underneath the abstraction, and enterprise buyers will want more track record before betting production SLAs on it. Best for indie developers, small teams and cost-sensitive startups rather than large regulated enterprises.
What people say
Independent third-party reviews for Sealos are thin — no dedicated G2 or Capterra listing exists as of July 2026, which is unusual for a project with real GitHub traction. What's available comes from the open-source community and Sealos's own channels rather than an aggregated review platform.
The GitHub repo (labring/sealos) frames it as an AI-native Cloud Operating System that unifies the entire application lifecycle — DevBox cloud IDEs, one-click deploys, managed Postgres/MySQL/Redis/MongoDB, and S3-compatible object storage on top of Kubernetes. User testimonials collected on the Sealos site echo a consistent theme: it removes Kubernetes' learning curve. One self-described new coder called it 'a great alternative to the complicated cloud' that 'saves a ton of learning time and gets things deployed safely and quickly,' adding they were 'happy to pay for it.' A DEV Community writeup pitched it as a serious self-hosted alternative to conventional PaaS, built directly on Kubernetes rather than abstracting it away entirely.
Pricing is genuinely competitive on paper: a Starter tier at $7/month (list price $34) covers 2 vCPU and 2GB RAM, a Hobby tier at $25/month (marked most popular) doubles that to 4 vCPU/4GB, and pricing scales up through Standard ($128/mo), Pro ($512/mo) and Team ($2,030/mo) with SLA and dedicated support kicking in at the Pro tier. A free trial gives 4 vCPU, 4GB RAM and 100 AI credits with no card required.
What's missing from the public record is much scrutiny beyond enthusiast blog posts and the vendor's own case studies — no substantial Reddit or Hacker News thread specifically litigating Sealos's reliability at scale turned up in research, worth flagging to anyone evaluating it for production workloads rather than side projects. The company (labring, Hangzhou) is backed by investors including Alibaba Cloud and MiraclePlus, is internationally accessible with English documentation, and its Kubernetes-native architecture means workloads aren't locked into a proprietary abstraction if you outgrow it.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Sealos's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Sealos unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Sealos directly →
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