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What is Commando?

Optimize workflows, eliminate barriers, and save precious engineering resources by utilizing only native SSH, without the need for agents or external dependencies. This strategy not only enhances efficiency and security but also significantly lightens the workload. Users gain the ability to run distributed commands across servers via an easy-to-use web-based SSH interface, which includes a detailed activity and audit log that records who executed each command, along with their timing, location, and justifications. Similar to how GitHub transformed version control with its accessible interface and community features, Commando.io redefines server management and DevOps methodologies. Users can effortlessly add and categorize servers, whether they are physical or virtual/cloud-based, as long as they support sshd. Moreover, servers can be methodically grouped based on different parameters, including their functions or geographical positions. Recipes act as version-controlled command containers that can be developed in languages such as bash, terraform, Perl, Python, Ruby, Go, or Node.js. In addition, a centralized repository known as Files enables users to save text or binary files, which can be efficiently transferred to servers through recipes, thus boosting overall operational efficiency. By streamlining the server management process, teams can dedicate more time to their primary responsibilities rather than getting overwhelmed by administrative tasks, ultimately fostering a more productive environment. This enables organizations to leverage their engineering talent effectively while maintaining a focus on innovation and development.

What is CloudRay?

CloudRay is an intuitive cloud-based platform tailored to automate and monitor the execution of Bash scripts across cloud servers. It enables users to schedule scripts, track their real-time execution, and save outputs for future use, streamlining server management tasks. CloudRay’s built-in script editor supports creating dynamic scripts with Liquid templates, and users can run multiple scripts in a sequence, enhancing automation workflows. The platform also supports environment variable management for secure data handling and the creation of custom webhooks to trigger scripts based on external events. CloudRay’s powerful features, including team collaboration and the ability to pay only for the servers used, make it a highly efficient solution for cloud management and automation tasks. Whether for routine maintenance, deployment, or complex integrations, CloudRay simplifies cloud automation for both individuals and teams.

Media

Media

Integrations Supported

Amazon
Ansible
DigitalOcean
Git
GitHub
GitLab
Jenkins
Microsoft Teams
Slack
Terraform
Vultr

Integrations Supported

Amazon
Ansible
DigitalOcean
Git
GitHub
GitLab
Jenkins
Microsoft Teams
Slack
Terraform
Vultr

API Availability

Has API

API Availability

Has API

Pricing Information

$12.00/month
Free Trial Offered?
Free Version

Pricing Information

$5/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NodeSocket

Date Founded

2012

Company Location

United States

Company Website

commando.io

Company Facts

Organization Name

CloudRay

Date Founded

2024

Company Location

Estonia

Company Website

cloudray.io

Categories and Features

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Categories and Features

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

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