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About Digital.ai Release

Digital.ai Release is a release orchestration platform that automates deployments across teams and environments. It provides pipeline management, risk controls, and compliance governance so organizations can coordinate complex releases reliably. Integrations with CI/CD, security, and ITSM tools connect delivery workflows end to end, while analytics track release performance and bottlenecks. Multi-environment support helps teams manage dev, test, and production releases from one place. The platform is designed for enterprises that need controlled, auditable release processes. Key capabilities: Release orchestration and automation CI/CD pipeline visibility and control Risk management and compliance governance Multi-environment release coordination Analytics and reporting dashboards Best for: Enterprises managing complex release pipelines.

Digital.ai Release Details

Vendor
Digital.ai
Year Launched
Location
555 Fayetteville St. Raleigh, NC 27601
Deployment
cloud
Training Options
documentation
Countries Served
All Countries
Languages
English, French, Portuguese, Spanish, German
Users
Product Managers, Release Managers, DevOps Engineers, QA Engineers, Developers
Industries Served
Finance, Governement
Tags
application lifecycle management, continuous integration, DevOps, application release automation, continuous delivery, continuous deployment, value stream mapping, value stream management, release orchestration, agile, agile project management, digital transformation, analytics, AI, AIOps, ITSM, continuous testing, app security, api protection, and threat analytics

Digital.ai Release's In-App Market Place

Does Digital.ai Release have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), INR (₹), SGD (S$)

Pros & Cons

  • 1. Comprehensive Release Management: Covers various aspects of the release process.
  • 2. Strong Automation Features: Reduces manual effort in deployments.
  • 3. Good Integration Capabilities: Works well with existing DevOps tools.
  • 4. Robust Analytics: Provides valuable insights into release performance.
  • 5. User-Friendly Interface: Easy to navigate for teams.
  • 1. Complex Initial Setup: Configuration can be challenging for some users.
  • 2. Learning Curve: Users may need time to fully leverage all features.
  • 4. Performance Issues: Some users report slow performance in large-scale deployments.
  • 5. Limited Customization: Advanced users may find customization options lacking.

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