Digital.ai recently launched the latest version of its AI-enhanced DevOps product to the market
Corbett, the latest version of Digital.ai’s AI-powered DevOps product platform, has been introduced to help companies create applications with a better user experience while making software development teams more efficient.
According to the business, Corbett has improved its intelligence capabilities, enabling teams and organizations as well as individuals to better harness the power of AI to create better software. Read more about Digital.ai announcing the latest version of its AI-enhanced DevOps product here.
From development to production, Digital.ai now centralizes and integrates data from more sources, including AI-enhanced DevOps products and third-party software tools, so teams can eliminate siled reporting and analytics. , and harness the power of AI to make latent predictions. Results based on past performance.
Use new persona-based dashboards to view key performance indicators for team and process efficiency and risk reduction while evaluating historical data for each step of application development and delivery. New improvements build on existing predictive intelligence capabilities, using machine learning to help businesses evaluate options, manage trade-offs and make more predictable decisions. .
According to Digital.ai CEO Derek Holt, Corbett’s release “provides an open DevOps platform built for the enterprise to create customized solutions that support the complexity and scale of the world’s largest enterprises. underscores our commitment to
“Corbett releases a completely updated version of its industry-leading product and makes even greater strides by significantly expanding the use of data, machine learning and artificial intelligence in software development and delivery. As the pace of AI-based innovation accelerates, we want to use artificial intelligence to create value for teams, businesses and individuals.
Key enhancements include:
You need to deliver more reliable, high-quality applications.
Better identification of jailbreak bypass: Teams will be able to identify the latest bypasses instantly, and businesses will be able to frustrate more attackers by preventing further jailbreaks.
Test manager: Organizations save time by not having to recreate tests using a new central database of tests shared by all project participants. This will also improve test management and communication.
Advanced protection methods: Organizations can increase the speed of client protection by 20x. This acceleration allows for more performance tuning iterations while still providing a secure application.
Improve intelligence with persona-based and team-based insights.
Scrum Master and DevOps Manager Dashboard: Teams can access and analyze development progress across multiple releases with historical, persona-based analytics. It also allows companies to prioritize features, reduce development time, and streamline delivery.
Platform Engineer Intelligence and Release Manager Intelligence Enterprises can now reduce risk by looking at release dependencies and success trends to better understand why releases fail.
Projected by the portfolio team: A new interactive feature helps companies plan their work better by using available capacity and what-if scenarios to calculate team capacity over time.
Integrate security from the beginning of your development process.
Build security checks into your release pipeline for better governance. A recent connection with OPA allows organizations to automatically verify whether a graduated list of protections has been successfully applied to mobile applications.
Self-service cloud-native app onboarding empowers teams to more quickly onboard and deploy cloud-native applications while maintaining governance rules in multi-cloud settings.
With the help of new open SDKs, organizations can now harness the power of Kubernetes to easily build integrations using their favorite languages like Python and Go. This improves productivity and scale.
