Minimal tips to run isolated code

1. Spin

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   Explicit state logic model checking tool -- 2002 winner of the ACM System Software Award. (by nimble-code)

   

   git clone https://github.com/nimble-code/Spin.git cd Spin make

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. QEMU

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   Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

   

   There are several choices for running code in partial or full isolation. Some languages include lightweight environments that do not interfere with each other, e.g., virtual environments in Python. However, due to caching and links, these are not sufficiently isolated for us. At the other end of the spectrum, we can run code in a node of a cloud computing service. However, the overhead and cost make this not worthwhile given our needs: isolation, but not very strong security requirements. Alternatively, we can run a virtual machine or emulator such as QEMU, VirtualBox, or others. This also has too much overhead given our needs.

4. podman

   3 401 26,821 10.0 Go

   Podman: A tool for managing OCI containers and pods.

   

   Thus motivated, install Podman Desktop, a Docker-compatible Linux containers tool with Podman. After Podman Desktop is installed and running, open a terminal and

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