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What is Sengi Runners?

Sengi operates as a managed runner service for GitHub Actions, facilitating Linux CI tasks on newly set up Ubuntu 24.04 x64 virtual machines. Teams are able to easily connect their GitHub repositories and assign relevant workflow jobs to Sengi by modifying the runner label, all while preserving their existing Actions workflows, steps, secrets, logs, and triggers. The service offers a range of machine configurations such as 2-vCPU/8-GB, 4-vCPU/16-GB, and 8-vCPU/32-GB, accommodating various tasks including builds, tests, Docker workflows, and the execution of multiple jobs simultaneously. Each user account receives a monthly allowance of 3,000 standard-2-equivalent minutes that can be utilized across various runner sizes, and initiating usage does not require a payment card. Charges for job execution are based on per-minute usage according to the chosen machine size, while boot and teardown durations are not subject to billing. Sengi is designed for developers and DevOps teams in search of an uncomplicated managed Linux execution solution for GitHub Actions, significantly reducing the burden of maintaining their own runner fleet. Currently, the service is limited to support Ubuntu 24.04 on x64 architecture, which provides a consistent environment for all users. As a result, Sengi presents an attractive option for teams aiming to enhance their CI/CD workflows in a streamlined manner, ultimately driving efficiency and productivity. Additionally, the straightforward setup process allows teams to focus more on development and less on infrastructure management.

What is Magnitude Process Runner?

Transform tedious, manual, and error-prone tasks with Magnitude's innovative Process Automation solutions. With ease, you can create, extract, update, and manage SAP data right from Microsoft Excel, eliminating the need for coding altogether. Magnitude Process Runner redefines the way users interact with SAP by offering automation tools that simplify the handling of extensive and complex data transactions. This advancement turns Microsoft Excel into a central platform for managing SAP data, which significantly cuts down on repetitive data entry, streamlines workflows, and enhances productivity. Distinguishing itself from other SAP automation tools, Process Runner is recognized for its distinctive features, intuitive design, and strong governance capabilities. It facilitates effortless data transfer between Microsoft Excel and SAP, doing away with the requirement for coding or scripting. Compared to traditional methods like LSMW, BDC, SM35, and SHDB, Process Runner provides a more flexible approach to automation. By effectively optimizing operations, it becomes an indispensable tool for organizations aspiring to improve their data management practices. Ultimately, adopting Process Runner can lead to significant time savings and operational efficiency for businesses of all sizes.

Media

No images available

Media

Integrations Supported

GitHub Actions

Integrations Supported

Microsoft Excel

API Availability

API Availability

Pricing Information

$0.003/job minute
Pay per job minute: $0.003 for 2 vCPU/8 GB, $0.006 for 4 vCPU/16 GB, and $0.012 for 8 vCPU/32 GB. Each job is rounded up to a whole minute; boot and teardown are not billed. No subscription or monthly minimum. Monthly free allowance: 3,000 standard-2-equivalent minutes, with size-weighted usage; no card required to start.
Free Version

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sengi

Company Website

sengi.run/

Company Facts

Organization Name

Magnitude Software

Date Founded

1994

Company Location

United States

Company Website

www.magnitude.com/products/process-automation

Categories and Features

Categories and Features

Data Entry

Not specified

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