Practical notes on Python, JavaScript, and the execution lifecycle in SmolBox.
Start with an approved OCI image, run a small workload and verify its result. Learn when to use a prepared machine artifact, what a digest fixes, and what you still need to manage.
Read the guideDelete a machine without losing its project files. Follow a managed volume through a controller restart, a replacement machine, read-only access and explicit cleanup.
Read the guideChoose what your next machine inherits. Compare disk artifacts, saved memory and live copies, with real Linux measurements and the cleanup each choice leaves behind.
Read the guideFollow a terminal session through a lost connection. Learn when you can reconnect, what an exit proves, and why an uncertain command should not be replayed.
Read the guideStart an HTTP service, break its startup command, and check what a running VM actually tells you. A practical SmolBox guide to application readiness.
Read the guideEdit a page, run successive commands, and restart Phoenix without losing the project. A runnable workspace teaches machine, command, and browser lifetimes.
Read the guideRestore prepared guest state for separate disposable executions. A station dataset shows what checkpoints preserve, what they cost, and when a prepared image is enough.
Read the guideA reader asked about nested virtualization overhead. Six paired tests showed why startup, guest execution and cleanup need separate clocks.
Read the guideFetch a public dataset from a disposable Python VM, collect the report in Elixir, and keep its approved network policy with the execution. A working SmolBox 0.1.3 example.
Read the guideA cleanup failure in our Elixir integration, a fix from smolvm's maintainer, and the tests that closed the loop. A small story of contributing to open source.
Read the guideWhat disk exhaustion, worker OOM and a frozen VM taught us about resource limits, execution records and recovery in an Elixir application.
Read the guideWhy we chose smolvm and how SmolBox manages execution identity, outcomes, and cleanup from Elixir, with a runnable Python example.
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