Objective-based testing, with its focus on natural language prompts to initiate test design, is more than just a new technique ...

Adopting AIOps helps DevOps through automation, predictive intelligence and better data-driven decisions. This collaboration fosters efficient processes, improved quality and continuous improvement to meet the ever-changing demands of the industry and customer ...

The popularity of agile methodologies has grown significantly among developer teams, compared to sequential software development approaches. 71% of respondents to the 17th State of Agile Report from Digital.ai have adopted Agile ...

The five DevOps job postings shared this week include various roles at GovCIO, Mayo Clinic, Wiz, BMC and Citi ...

Configuring a CI pipeline to invoke automation tests can help reduce license costs. CI tools sit in front of automation test tools, eliminating the need for individual licenses ...

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these ...

Splunk this week made a bevy of updates to its observability platforms including the addition of a revamped user interface that provides a more consistent experience across Splunk Cloud and Splunk AppDynamics ...

The iterative process is greatly enhanced by data-driven feedback loops, which allow teams to systematically collect, analyze and act on data to inform product decisions ...

A guide to assist leaders in the facilitation of their organization's success in the endeavor of agile transformation ...

A survey of 504 DevOps practitioners finds 59% work for organizations that have a sustainability initiative specifically tied to application development and deployment ...

Balancing agility and security in DevSecOps is achievable with the right mix of automation, collaboration and continuous feedback. By embedding security into agile processes, organizations can deliver software that is both fast ...

Observability in 2030 will require integrated telemetry across layers, events for context, and decoupling telemetry collection from analysis, ensuring seamless multi-signal observability ...