Business of DevOps
AI Coding Assistants are Not the Solution You Think
That’s when the true potential of AI can be realized when the industry shifts focus from simply accelerating coding time to improving the way engineers access and manage the information they rely ...
Training IT Teams for Multi-Cloud DevOps Environments
A multi-cloud approach can also benefit development and operations (DevOps) teams if they have the training and skills necessary to maximize multi-cloud potential. ...
StackGen’s New Migration Engine: A DevOps Game-Changer for Multi-Cloud Transitions
StackGen introduces automated cloud-to-cloud migration capabilities, eliminating manual infrastructure work while maintaining security and compliance. Here's what DevOps teams need to know ...
AWS Extends AI Agent Reach into the Realm of Testing Code
AWS has extended the reach of its generative artificial intelligence (AI) agents for developers into the realm of application testing ...
Digma Adds Ability to Predict Coding Issues to Observability Platform
Digma this week added a predictive analytics capability to its observability platform that makes it possible to identify issues before code is added to a production environment ...
The Future of AI Development is Global: Building World-Class Teams Across Borders
As artificial intelligence (AI) continues to transform software development, companies face a critical challenge: How to build and maintain world-class AI development teams while managing costs and ensuring quality ...
How Continuous Learning Fuels Successful DevOps Teams
Continuous learning can enhance staff skills to make the most of DevOps frameworks and help developers streamline key processes to reduce total stress. ...
DevOps Evolution: From Movement to Platform Engineering in the AI Era
Dynatrace's Andi Grabner discusses how DevOps is transforming through platform engineering and AI-driven automation to scale best practices and reduce friction ...
Breaking Down Testing Barriers: How Observability is Bridging Dev and Ops
Tricentis's Bryan Cole discusses how AI-powered observability and continuous testing transform the relationship between development and operations teams ...
What are the Key Challenges in Mobile App Testing?
Testing mobile applications (apps) is a crucial process used to ensure that an app is fit for use, effective and free of defects ...
Your Test Data Service is Outdated – Here’s Why (And What to Do About It)
James Walker | | ai, Aritficial Intelligence, devops, software development, TDM, test data, test data managementOutdated test data practices continue to hold back organizations, creating bottlenecks in delivery and compromising software quality. ...
Driving Quality and Efficiency in QA With Kaizen and Project Management Best Practices
Prachit Kurani | | continuous improvement, Kaizen, Project Management Best Practices, Quality AssuranceKaizen, a philosophy of continuous improvement that, when combined with collaboration and visionary leadership, can turn QA teams into well-oiled machines of productivity and innovation ...
