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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

CtrlOps is a desktop application designed for local-first management of Linux servers, featuring an AI-enhanced terminal, live monitoring, SSH access, file management, deployment processes, and backup functionalities. This tool enables developers to effectively deploy, debug, and oversee their servers using AI technology while ensuring all sensitive information, such as SSH keys and server credentials, remains entirely local and never exposed to the cloud. It establishes connections with remote Linux and Ubuntu servers utilizing standard SSH protocols, eliminating the need for any additional agents to install or maintain on the server itself. The AI Terminal allows users to articulate their requirements in natural language, produces bash commands for user approval, translates terminal outputs into easily understandable English, identifies errors without needing elevated privileges, and offers contextually relevant suggestions throughout the workflow. Additionally, CtrlOps features a visual file manager, an overview of multiple server fleets, detailed infrastructure information, efficient SSH management, automated deployment processes, robust backup and restoration options, as well as real-time monitoring capabilities for all connected servers. Furthermore, the combination of these features streamlines the server management process, making it more accessible and efficient for developers.

Description

Server Scheduler empowers you to take control of your cloud costs by manually scheduling server instances with a visual time grid, ensuring that servers only run when needed. It supports shutting down servers during off hours and downsizing idle machines across leading cloud platforms like AWS, Google Cloud Platform, and Microsoft Azure. The automation automatically powers down servers and databases when your team isn’t active, whether overnight, on weekends, or holidays, eliminating wasteful spending on idle cloud resources. This intelligent scheduling can reduce your cloud expenses by as much as 70%, saving significant budget. Once configured, the system runs automatically without requiring manual intervention, freeing IT teams from constant oversight. Server Scheduler’s cross-cloud compatibility makes it a versatile tool for managing resources in complex environments. It also helps optimize cloud infrastructure to maintain performance without unnecessary costs. Overall, it offers a reliable and cost-effective solution for cloud resource management.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
DigitalOcean

Integrations

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
DigitalOcean

Pricing Details

$7 per month
Free Trial
Free Version

Pricing Details

€49/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CtrlOps

Country

United States

Website

ctrlops.io

Vendor Details

Company Name

Server Scheduler

Founded

2025

Country

Ireland

Website

serverscheduler.com

Product Features

Server Management

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

Product 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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