Brenna Washington

Today, JFrog and GitHub extended their alliance to provide a unified dashboard that makes tracking and prioritizing vulnerabilities.

JFrog CEO Shlomi Ben Haim says that unless application developers adapt their jobs are indeed at risk because of the rise of GenAI.

The U.S. Congress recently banned its staff from using Microsoft’s AI Copilot — an integrated large language model chatbot that enables automation for Microsoft’s products such as Word, Excel, PowerPoint, Outlook and Teams — citing security concerns. And they are not alone in this sentiment, as many professionals teeter between excitement and dread when it comes to AI. In the meantime, Microsoft has confidently touted Copilot, promising that the power of its AI will reduce the daily grind of running a business. The company has segued from merely talking about AI to infusing it across every layer of its tech stack. Its recent introduction of Copilot Runtime even allows developers to use AI in their own programs, so it’s no surprise that most chief information officers are experimenting with Copilot. Its productivity promises and the resulting scope expansion and cost efficiencies for potential reinvestment are too enticing to ignore. Microsoft is certainly leading by example, and the only question is how others should follow. Over the last decade, agile organizations have outperformed others in making and managing decisions more quickly. Agile adoption in IT has introduced changes in the way infrastructure, applications, data and skills are produced, consumed, or both. The foundational elements of agile, such as collaboration, automation and continuous improvements, are the key sources of innovation pertinent to application, development and deployment.

Several techniques blend accounting principles with engineering practices to make cloud cost optimization practical and effective.

A survey on behalf of Outsystems and KPMG sees AI and automation are accelerating the pace of software development time.

Cribl this week added support for multiple additional platforms to its cloud service for collecting and routing telemetry data.

A weekly summary of DevOps job opportunities, including a Cloud Services Engineer role at Intel and an engineer role at Parsons Corp.

Copado today revealed it has developed a series of generative artificial intelligence (AI) agents capable of automating specific tasks that DevOps teams routinely encounter when building and deploying applications on top of the software-as-a-service (SaaS) application platform from Salesforce.

Danger lurks in the most unexpected of places.

A survey of 505 software developers, IT professionals and IT decision makers (ITDMs) in the U.S. finds that 70% of respondents work for organizations that hold developers responsible for deployments, with only 22% practicing conducting blameless post-mortems.