AI is being rushed in, and as often happens in human experience, the moment's excitement overshadows our precautionary common sense. At this point, the huge threat I foresee in AI implementation is security. The power of this new technology will be very unforgiving, and drivers of fast implementation, which tend to be the desire to make large amounts of fast money, could turn into financial and reputational nightmares of unimaginable proportions ...

There's immense pressure on C-Suite leaders to bring new ideas to the table that will both elevate the profile of their enterprise and maintain efficiency and excellence. This task can be made even more daunting considering the amount of resources available that claim to help companies streamline their processes, enhance workflows, and boost productivity — especially regarding technology. Among the advanced technologies vying for the attention of the C-Suite, there is one tool that often remains largely undiscussed: low-code ...

The idea of embedding security into DevOps isn't new, and it's fair to say it's never been fully realized, but API security presents a particular challenge for DevOps that requires consideration ... Wallarm recently completed our annual API ThreatStats report for 2025. The findings reveal a sharp increase in both AI and API-related vulnerabilities ...

Enterprise technology has changed considerably over the last decade ... As technology advances, it's driving a shift in how applications are developed, tested, and maintained. Gone are the days when software testing was a checkbox mentality; today, it's a strategic imperative that requires stakeholder involvement from all business areas. With that in mind, let's explore some key trends shaping the industry ...

2025 will mark a pivotal shift for the DevOps community, with intelligence able to be engineered across all levels of infrastructure and operations. The challenge? Balancing velocity with reliability ... Here are three key changes we'll see across AI, automation, and infrastructure in 2025, with particular emphasis on multi-instance management as a critical enabling technology for organizations looking to operate at scale over the coming year ...

There are no signs of AI's massive growth and adoption slowing down anytime soon ... But none of this AI-driven innovation is possible without application programming interfaces (APIs). APIs have exploded in recent years and are consequently difficult to manage at scale ...

Part 3 covers predictions about software quality and testing, as well as some challenges developers will face in 2025 ...

In Part 16 of this series, experts offer predictions about how AI will change DevOps and development processes in 2025 and beyond ...

The Holiday Season means it is time for DEVOPSdigest's annual list of DevOps predictions. We are kicking off the predictions series this year with the final installments of a series run on DEVOPSdigest last month: Exploring the Power of AI in Software Development. In Part 14, experts offer some predictions about how AI's support for software development will evolve in 2025 and beyond ...

With the increased prevalence of generative AI, there's a desire to have the same ability to inspect the AI models. Most generative AI models are black boxes, so some vendors are using the term "open source" to set their offerings apart. But what does "open source AI" mean? There's no generally-accepted definition ...

The evolution of AI, particularly in cloud and serverless environments, has opened up new possibilities — but it's also introduced significant complexities, especially around privacy and data security. DevOps engineers are on the frontlines of these challenges ...