We're in a moment of rapid transformation in how software developers approach their work. According to our Dev Barometer Q3 2025 findings, 65% of developers say they're worried about falling behind on AI skills, and they're taking matters into their own hands. They're saving, on average, over seven hours a week thanks to AI tools, and most are reinvesting that time into learning. They're not waiting for permission or a better timing to learn. They're teaching themselves new skills, diving into prompt engineering (44%), AI/ML specialization (45%), and learning how to use AI to boost productivity across the board ...

Application Performance Management (APM) and Observability are two of the most important tools in the ITOps, DevOps and development toolboxes. Yet there seems to be confusion about them. What is the difference between APM and Observability? Does each offer different capabilities or serve different use cases? Do you need both, or is one enough? These are the questions this epic 12-part APMdigest series will attempt to answer over the next few weeks ...

Cloud computing has transformed how we build and scale software, but it has also quietly introduced one of the most persistent challenges in modern IT: cost visibility and control ... So why, after more than a decade of cloud adoption, are cloud costs still spiraling out of control? The answer lies not in tooling but in culture ...

OpenTelemetry enjoys a positive perception, with half of respondents considering OpenTelemetry mature enough for implementation today, and another 31% considering it moderately mature and useful, according to a new EMA report, Taking Observability to the Next Level: OpenTelemetry's Emerging Role in IT Performance and Reliability ... and almost everyone surveyed (98.7%) expresses support for where OpenTelemetry is heading — a very strong vote of confidence ...