Application platforms / Dockup alternative

Getdockup.com alternative

Dockup automates deployments into your AWS account. Its public site describes CodeBuild, ECR, EKS, IAM and networking resources, with GitHub-triggered deploys and a control UI. That deployment layer has different state ownership from providing one returning agent with a durable Linux computer.

Start buildingCompare capabilities ↓

Reviewed 2026-10-18 · Published by the Sandbox0 team

When Dockup fits

Dockup fits teams wanting application deployment automation on their own AWS infrastructure, with checklists, rollbacks, SSL and cluster node scaling. Keep that own-account deployment workflow when it is required.

When to consider Sandbox0

Consider Sandbox0 for the agent execution environment and its retained system tools, configuration and growing RootFS. You still need application deployment, build/image pipelines and any required AWS cluster administration. Sandbox0’s own-account BYOC offering is planned, not currently the same service.

Capabilities

Dockup and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeDockupNot established in this reviewSandbox0ttl and hard_ttl default to 0 (disabled). Configure idle pause and deletion policies for the same persistent sandbox identity; an idle running sandbox still accrues compute charges.Read documentation →
Persistent filesDockupPersistence follows the actual own-AWS workload and storage configuration; no standard durable-agent disk contract is established.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSDockupThe public deployment offer does not establish full writable RootFS checkpoint/recovery.View evidence ↗Sandbox0Persistence extends beyond /workspace to paths such as /usr/local, /etc, and /home. Runtime tmpfs and virtual filesystems are excluded.Read documentation →
Release compute, keep stateDockupRolling application deployment is not an arbitrary-machine pause/resume feature.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateDockupNo process-memory checkpoint contract is established.View evidence ↗Sandbox0Experimental memory checkpoints can preserve compatible process state. Use memory: true on both pause and resume on a compatible deployment. A filesystem checkpoint alone does not preserve running processes.Read documentation →

Online RootFS growth

On growth-enabled images, Sandbox0 automatically expands the writable RootFS as free space runs low, within a configured sparse logical ceiling up to 64 TiB. Agent processes keep running. Growth is enabled in the qualified Cloud region; confirm activation for other regions. Existing images and snapshots retain their captured storage geometry. The ceiling is logical capacity, not preallocated host disk.

Dockup’s cluster node autoscaling is acknowledged. The reviewed site does not establish automatic online growth of a complete durable agent RootFS. Application/node capacity and the lifecycle of one agent’s installed environment need separate configuration.

Files while compute is paused

Sandbox0's Files API reads persistent files without resuming compute. Filesystem-only pauses also permit edits; retained-memory pauses are read-only and reject mutations with 409. SSH, SFTP, file watching, and runtime-only mounts require running compute.

The public deployment description does not establish supported access to a full paused guest RootFS. AWS storage services you configure can have their own external interfaces; that is not one uniform Dockup file-access contract.

See paused file operations →

The deployment resources remain in your account

The homepage says Dockup creates AWS CodeBuild for source/image builds, ECR for images and EKS for container execution, along with IAM and network resources. It can eject its control layer. Disk retention, backups and application state therefore depend on the infrastructure and workload configuration rather than an automatically supplied saved-agent contract.

Source 1 ↗

Node scaling does not define filesystem growth

Dockup advertises adding/removing cluster nodes to accommodate application load, plus rolling deployments and managed SSL. Those are useful app-delivery features. They do not establish persistence of arbitrary container system changes, process-memory capture or online expansion of one durable agent RootFS.

Source 1 ↗

Platform fees and cloud resources are separate

The site labels the basic offer Free forever and lists Dockup for teams at $45 monthly with unlimited users. The described AWS services are your infrastructure; include their actual charges as well as the platform fee. Confirm current onboarding and commercial terms before a migration.

Source 1 ↗

Pricing

Compare billing models, then price your workload

CPU allocation, memory, billing minimums, disk, plan fees, and supported workload differ. These meters are not equal-performance machine quotes. Confirm region, resource units, and included allowances before estimating a total.

Dockup

Pricing reviewed 2026-10-18

Basic platform
Advertised Free forever
AWS resources are separate from the deployment-platform label.
Rate source ↗
Dockup for teams
$45/month; unlimited users
Lists teams/projects, role-based controls, checklists and reporting.
Rate source ↗
Own-AWS infrastructure
Your AWS service charges
Builds, images, cluster compute and other configured services need their own estimate.
Rate source ↗

These are the public site’s advertised platform terms; confirm current account access, support and offer scope. No managed VM-hour amount is inferred from the free label. The reviewed page does not publish a complete storage, transfer or overage schedule. Application replicas, cloud disks and any agent/model subscriptions can add costs.

Check current Dockup pricing ↗

Sandbox0

$0.015/GiB-hour compute (billed by the second at approximately $0.000004167/GiB-second), plus $0.02/GiB-month of retained incremental RootFS and memory checkpoint data. Shared base images and platform recovery retention are excluded; paused sandboxes accrue storage charges only.

Compute / GiB-hour
$0.015
Retained data / GiB-month
$0.02
Paused compute
$0.00

A 4 GiB agent, 100 running hours

$6.00 compute

4 GiB × 100 hours, billed by the second. Keeping 20 GiB of billable incremental data for a full billing month adds $0.40. CPU is derived from memory by the platform; choose a tier that fits your workload.

Understand storage billing →

Before migrating from Dockup

  1. Inventory GitHub deploy configuration, CodeBuild/ECR/EKS resources, AWS roles, app state, backup policy and effective platform terms.
  2. Retain the required own-AWS deployment layer and port compatible agent execution to Sandbox0 explicitly.
  3. Test repeated tasks, filesystem growth/retention, paused files and the combined platform/AWS/runtime/model budget.

Common questions

Is Sandbox0 a drop-in Dockup replacement?

Evaluate API compatibility and product scope. These products serve different core workflows, so a change may require a different architecture.

Does keeping files also keep a running agent?

Filesystem state and volatile process state are separate. Sandbox0 requires explicit compatible memory checkpoints to preserve running processes; its default filesystem resume starts fresh processes.

Sources and review scope

The Boat team's Battleships directory is the discovery source. References below describe the product and plan discussed on this page. Check current availability, regional terms and billing units before migrating. Where the cited material does not establish a capability or price, the comparison identifies that uncertainty.

Battleships research record ↗getdockup.com/ ↗Sandbox0 RootFS capacity →

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