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What is Opereto?

The automation of ongoing DevOps operations and testing for modern distributed software systems presents significant challenges and requires considerable effort. This intricate process demands advanced coordination, teamwork across various departments, and the integration of numerous tools, technologies, and computing platforms. Opereto acts as a collaborative automation framework that streamlines the orchestration of computing environments, tools, and operations, facilitating on-demand execution, parallel processing, and the ability to scale effectively. A key advantage of Opereto is its capacity to reduce the complexity of developing and sustaining automation infrastructure, allowing users to focus on selecting their desired tools and technologies while designing custom operations and comprehensive test flows. With its robust orchestration capabilities, Opereto enables users to share automation components as REST services, making it simple to construct complex operational and testing workflows. The Test Cycle Engine plays a crucial role by dynamically managing testing environments and tools, executing tests across various configurations at the same time. Additionally, the integration of a centralized Test/Ops database brings together all pertinent data, significantly boosting the efficiency of the testing process and providing a holistic overview of operations. In this way, Opereto not only simplifies the automation landscape but also empowers teams to deliver higher quality software more rapidly.

What is OpenText DevOps Aviator?

OpenText DevOps Aviator leverages both generative and agentic AI to significantly improve the software delivery lifecycle, allowing teams to accelerate the processes of application development, delivery, and automated testing. Its integration with the OpenText Core Software Delivery Platform and OpenText Software Delivery Management optimizes workflows, reduces defects, and provides real-time insights that enhance key performance indicators within the value stream. A sophisticated, context-aware AI assistant enables users to ask questions about features, defects, tasks, and tests, delivering precise answers while streamlining the creation of stories or tasks without requiring users to switch between different tools. Furthermore, AI-enhanced test conversion functionalities facilitate the transition from manual tests to automated workflows via codeless methods or Gherkin BDD, and it also generates test recommendations to improve coverage. By analyzing historical velocity data alongside AI-generated insights, the system can forecast delivery timelines for features and releases while raising alerts about potential risks before they can affect deadlines. This holistic strategy empowers teams to operate with greater efficiency and effectiveness throughout all phases of the development cycle, ultimately driving better project outcomes. Additionally, the platform's continuous learning capabilities ensure that it evolves and adapts to new challenges and requirements over time.

Media

Media

Integrations Supported

Integrations Supported

OpenText Aviator
OpenText Aviator Platform
OpenText Aviator Studio
OpenText Experience Aviator
OpenText Service Management Aviator

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Opereto

Company Location

Israel

Company Website

www.opereto.com

Company Facts

Organization Name

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/aviator-ai/devops-aviator

Categories and Features

DevOps

Not specified

Categories and Features

Agentic DevOps

Not specified

DevOps

Not specified

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