Cloud-native delivery can move fast, but speed alone does not reduce operational risk. In many production environments, incidents are triggered by change. It can be a rollout that behaves differently under real traffic, a configuration shift that amplifies latency, or a recovery process that takes too long when the system is already degrading. What turns these events into business impact is rarely "lack of effort." It's uncertainty and delay. Teams can't quickly prove what is running, can't validate behavior early, and can't recover deterministically. Resilient delivery depends on shortening the feedback loop between deployment and verification so teams can detect problems before they affect a large portion of traffic. A practical way to do that is to build a Release Safety Loop into everyday delivery ...

Enterprise IT leaders have gravitated towards replacing existing toolchains with all-in-one DevOps platforms via large-scale, yearlong replatforming initiatives. However, new survey data around these migrations reveals that these initiatives are causing unintended consequences, and in some cases even backfiring completely ...

A DevOps team hits a decision point. They escalate. Leadership reviews, debates, requests more data. Another meeting is scheduled. The developers wait. Maybe that worked when product cycles lasted 18 months. Today, competitors deploy daily. Customer expectations reset weekly. Waiting kills momentum. Agility matters ...

Industry experts offer thoughtful, insightful, and often controversial predictions on how DevOps, development and AI-powered dev tools will evolve and impact the industry in 2026. Part 6 covers the AI-powered SDLC ...

Dan Twing and Tom O'Rourke are joined by Pete Goldin of DEVOPSdigest on the Enterprise Automation Excellence Podcast to discuss EMA's recent survey of AI-powered development and DevOps tools. The research shows high adoption rates of AI-native development tools with broad use of AI integration in core processes. This early success has created cautious optimism, however, significant governance gaps exist in many organizations ...

DevOps teams have always carried more than their job titles suggest. They've owned uptime, the speed of releases, performance and increasingly, accountability for what happens when something breaks in production. Over the past few years, a quieter shift has occurred, with security responsibilities increasingly landing on DevOps teams — security alerts, CVE response, access reviews, anomalies buried in logs. These are becoming routine parts of operational work, especially in organizations without a fully staffed SOC or formalized incident response process. Mainly because DevOps are the closest to production and someone needs to respond when gaps occur ...

The promises AI is making for DevOps (faster coding, faster debugging, faster reviews) is appealing. But in practice, that speed does not automatically translate into faster delivery or impact. AI often generates more tasks than it resolves: refactors, bug reports, and code suggestions can appear asynchronously from multiple tools, creating floods of new work ...

AI is no longer an optional add-on in app development ...According to App Builder's 2025 App Development Trends Report, 87% of tech leaders say their teams are already using AI in app development. And, as the technology becomes more deeply integrated into development workflows, companies are shifting their hiring priorities to match. Nearly three-quarters (71%) of tech leaders say AI and machine learning skills are non-negotiable when hiring developers ...

Global economic disruptions aren't restricted to supply chains and manufacturing; their impact also quietly infiltrates the software industry. Software teams quickly feel the pinch when the global economy experiences some turbulence ... Although software companies are not directly affected by tariffs on physical goods, the indirect consequences are becoming harder to ignore. The software industry depends heavily on hardware infrastructure ...

The joy of coding isn't dead. But it's harder to find. Talk to most developers today, and you'll hear it — under the automation, the tooling, the race to ship. Something's missing. They're producing more than ever. But enjoying it less. It's not a productivity problem. It's a purpose problem. We've changed how software is built, but we haven't updated how developers experience the work. The role has shifted from creators to curators, from coders to conductors, and until we acknowledge that shift and design for it, we'll keep losing what once made the work meaningful ...

Thirty years ago, Sun Microsystems released Java to the world. In technology years, that makes Java ancient — older than Google, Facebook, and the iPhone combined. While countless Java "Killers" have come and gone, Java has done more than just survive the relentless pace of technological change; it has thrived by consistently solving the operational challenges that define modern DevOps ...

Disconnect between the promise of engineering excellence and the day-to-day realities inside most software teams is growing, according to The State of Software Engineering Excellence 2025 from Harness ...