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What is Digital.ai Release?

Digital.ai Release, which was formerly recognized as XebiaLabs XL Release, is a dedicated solution designed for managing releases within Continuous Delivery (CD) frameworks. It enables organizational teams to craft and supervise their releases effectively, automate IT workflows, and improve the duration of releases by analyzing and optimizing their practices. With a strong emphasis on automation and orchestration, this platform offers extensive visibility into release pipelines, catering to even the most expansive enterprises. Users can adeptly handle intricate release pipelines while planning, automating, and scrutinizing each component of the software delivery lifecycle. This tool not only facilitates the management and improvement of software delivery initiatives but also keeps users informed about the progress of both automated and manual operations within the release pipeline. It assists in pinpointing potential obstacles, reducing mistakes, and alleviating the risks tied to release failures. Furthermore, it enables the monitoring of the entire release procedure, delivering real-time status updates across a variety of tools and systems, from initial code development to final production rollout. Users have the added benefit of customizing their dashboards to highlight the most vital information for each release, enhancing their overall management experience. This customization fosters a concentrated approach towards essential tasks, ultimately leading to more streamlined and successful release outcomes, while also promoting collaboration among team members for better synergy.

What is Alibaba Cloud DevOps Pipeline (Flow)?

Alibaba Cloud DevOps Pipeline (Flow) offers a robust and automated solution for research and development delivery tailored for enterprises. This platform supports flexible and intuitive continuous integration, verification, and release workflows, allowing organizations to achieve efficient and high-quality outputs. It integrates smoothly with a range of Alibaba Cloud services and facilitates deployment on public clouds as well as various self-hosted environments from multiple cloud providers globally. To address the challenges posed by unstable releases, it incorporates canary and phased release strategies, which help maintain operational stability. Additionally, the platform features crucial components such as code scanning, security assessments, and a wide array of automated testing options. By combining both manual and automated quality evaluation techniques, Alibaba Cloud DevOps Pipeline (Flow) emphasizes the importance of delivering high-quality results, enabling businesses to uphold rigorous standards in their development processes. Ultimately, this empowers organizations to adeptly manage the complexities of software development and delivery amidst a rapidly evolving technological environment while fostering innovation and efficiency.

Media

Media

Integrations Supported

Black Duck
CA Flowdock
Checkmarx
Delphix
Digital.ai Agility
IBM WebSphere Application Server
Kobiton
Microsoft Azure
NeoLoad
New Relic
OpenText LoadRunner Professional
Opsgenie
Orson
P4
PagerDuty
Perfecto
Planview Hub
SonarQube Server
qTest

Integrations Supported

Alibaba Cloud

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Digital.ai

Company Location

United States

Company Website

digital.ai/release

Company Facts

Organization Name

Alibaba Cloud

Date Founded

2008

Company Location

China

Company Website

www.alibabacloud.com/es/product/apsara-deveops/flow

Categories and Features

Categories and Features

Continuous Delivery

Not specified

DevOps

Not specified

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