Open Source Rust System Software for Linux

This repository contains a collection of tools and commands used for managing the lifecycle of enclaves. The Nitro CLI needs to be installed on the parent instance, and it can be used to start, manage, and terminate enclaves. The Nitro Enclaves kernel driver is available in the upstream Linux kernel starting with the v5.10 kernel for x86_64 and starting with the v5.16 kernel for arm64. The codebase from the 'drivers/virt/nitro_enclaves' directory in this GitHub repository is similar to the one merged into the upstream Linux kernel. The enclaves do not have access to a physical disk, just a RAM filesystem. One can configure the disk space by changing memory size or by using kernel command line arguments.

A command-line benchmarking tool. Statistical analysis across multiple runs. Support for arbitrary shell commands. Constant feedback about the benchmark progress and current estimates. Warmup runs can be executed before the actual benchmark. Cache-clearing commands can be set up before each timing run. Statistical outlier detection to detect interference from other programs and caching effects. Export results to various formats: CSV, JSON, Markdown, AsciiDoc. Parameterized benchmarks (e.g. vary the number of threads). Cross-platform. Hyperfine will automatically determine the number of runs to perform for each command. By default, it will perform at least 10 benchmarking runs and measure for at least 3 seconds. For programs that perform a lot of disk I/O, the benchmarking results can be heavily influenced by disk caches and whether they are cold or warm. If you want to run the benchmark on a warm cache, you can use the -w/--warmup option.

CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!

You list files hundreds of times a day. Why spend your time squinting at black and white text? exa is an improved file lister with more features and better defaults. It uses colours to distinguish file types and metadata. It knows about symlinks, extended attributes, and Git. And it’s small, fast, and just one single binary. Different types of file and data will be coloured differently, and the user and group columns will be highlighted for the current user. exa can display a file’s extended attributes, as well as standard filesystem information such as the inode, the number of blocks, and a file’s various dates and times. exa queries files in parallel, giving you performance on par with ls. Not only is the standard tree tool built-in, but it’ll show you your files’ information alongside the hierarchy. View the staged and unstaged status of every file, right there in the standard view. Also works in tree view for a high-level overview of your repository.

Easily and securely share files and directories from the command line through a safe, private and encrypted link using a single simple command. Files are shared using the Send service and may be up to 1GB. Others are able to download these files with this tool, or through their web browser. All files are always encrypted on the client, and secrets are never shared with the remote host. An optional password may be specified, and a default file lifetime of 1 (up to 20) download or 24 hours is enforced to ensure your stuff does not remain online forever. This provides a secure platform to share your files. History tracking your files for easy management, ability to use your own Send hosts. Inspect or delete shared files, accurate error reporting. Streaming encryption and uploading/downloading, very low memory footprint. Intended for use in scripts without interaction.

xsv is a command line program for indexing, slicing, analyzing, splitting and joining CSV files. Commands should be simple, fast and composable. Simple tasks should be easy. Performance trade offs should be exposed in the CLI interface. Composition should not come at the expense of performance. Let's say you're playing with some of the data from the Data Science Toolkit, which contains several CSV files. Maybe you're interested in the population counts of each city in the world. So grab the data and start examining it. The next thing you might want to do is get an overview of the kind of data that appears in each column. The stats command will do this for you. The xsv table command takes any CSV data and formats it into aligned columns using elastic tabstops. These commands are instantaneous because they run in time and memory proportional to the size of the slice (which means they will scale to arbitrarily large CSV data).