Grafana Labs, today at its ObservabilityCon event, unfurled a raft of additional offerings, including public previews of Explore Traces and Explore Profiles tools that make it simple to drill down into data ...

Despite the hype, AI can benefit actual DevOps workflows. These four machine-learning algorithms can make a real difference ...

By investing in open source frameworks and LGTM tools, SRE teams can effectively monitor their apps and gain insights into system behavior ...

The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments ...

Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special focus on enhancing continuous testing (CT). CT is especially critical in the ...

JFrog's integration with Qwak's MLOps platform will advance collaboration between teams building and deploying multiple classes of software artifacts ...

The success of organizations in today’s digital economy demands speed — the ability to quickly respond to market trends with new applications and services, instant access to critical data, and resolution of ...

Generative AI can go so many places that AIOps could never, and provides a general-purpose approach that can be applied in many different ways ...

OpenText updated a static analysis code auditing tool using machine learning algorithms to provide deeper insights into on-premises IT environments ...

Here are six distinct technology trends that are poised to be particularly influential for DevOps in the new year ...

With generative AI, legacy systems will be more likely to modernize software sooner and pay off technical debt more quickly ...

Release management is a critical discipline within software development and IT operations that focuses on the planning, scheduling, coordination and deployment of software releases. It includes the procedures, plans and methods employed ...