exo-compute
Manage Exoscale compute instances
TLDR
Quickly create an Exoscale Compute resource (e.g., instance, Security Group, SKS cluster,...)
List Exoscale Compute instance types
Register a new SSH key that can be used to access Compute instances
Create a Compute instance with an ssh-key deployed on it
Register a new Compute instance template based on a Snapshot of a Compute instance (useful when you want to quickly create a replica of a Compute instance)
Add a new rule to an existing Security Group
Manage the services of an existing Network Load Balancer
SYNOPSIS
exo-compute [OPTIONS] COMMAND [ARGUMENTS...]
exo-compute --version
exo-compute --help
PARAMETERS
--help
Displays usage information and exits.
--version
Shows the command's version and exits.
--verbose
Increases output verbosity, showing more details about operations.
--profile <name>
Specifies a configuration profile for connecting to external compute resources.
--region <region_code>
Selects the geographical region for compute operations (e.g., us-east-1).
--target <endpoint>
Defines the specific external compute endpoint or service to interact with.
run <script>
Executes a specified script or program on the external compute environment.
status <job_id>
Checks the status of a previously submitted external computation job.
fetch <job_id>
Retrieves results or output files from a completed external job.
upload <local_path> <remote_path>
Transfers files from the local machine to the external compute environment.
download <remote_path> <local_path>
Retrieves files from the external compute environment to the local machine.
configure
Interactively configures connection settings for external compute services.
DESCRIPTION
The exo-compute command is not a standard utility found in most mainstream Linux distributions. Its name suggests a hypothetical purpose: to manage or initiate computational processes that occur "externally" to the local machine, possibly on a remote server, a cloud platform, or a specialized compute cluster. If such a command existed, it would likely act as a client-side interface for submitting jobs, configuring external compute environments, monitoring remote tasks, or retrieving results. Its design would aim to abstract the complexities of distributed or cloud computing, providing a simplified command-line interface for users to interact with off-premises computational resources. This analysis is based on a hypothetical interpretation of the command's name, as no standard command with this exact name is widely documented.
CAVEATS
The exo-compute command is not a standard, pre-installed Linux utility. This analysis provides a hypothetical interpretation based on its name. If you encounter this command, it is likely part of a specialized software development kit (SDK), a custom cloud tool, or an internal enterprise application. Its exact functionality, parameters, and behavior would depend entirely on its specific implementation by its developers. Users should consult the documentation provided with the specific software package that includes exo-compute.
<I>CONCEPTUAL USE CASES</I>
If exo-compute were a real tool, it might be used for:
Cloud Workload Orchestration: Submitting batch jobs, machine learning training tasks, or complex simulations to cloud-based virtual machines or serverless functions.
Remote Data Processing: Offloading large-scale data transformations or analytics to powerful remote compute clusters.
Hybrid Cloud Management: Bridging local development environments with external compute resources, allowing seamless execution of tasks across diverse infrastructures.
HISTORY
As exo-compute is not a recognized standard Linux command, there is no public or well-documented history of its development and usage within the general open-source community. If it exists, its history would be tied to the private development cycles of a specific cloud provider, an enterprise, or a niche project aiming to streamline external computation workflows. It would likely evolve with advancements in cloud computing, distributed systems, and remote resource orchestration technologies.