DevOps is more than a buzzword — it is a philosophy that unifies development, operations, and testing into a single, efficient workflow. Here are six practical steps to mature your DevOps practice and unlock its full potential.
Scaling DevOps beyond a small team is hard. Seven technology leaders share the unique rituals, mottos, and cultural habits—yes, including breakfast tacos—that helped their organizations make agile stick at scale.
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Overprivileged accounts are a leading cause of DevOps-related breaches. Learn three foundational Privileged Access Management (PAM) best practices every DevOps team should build into their continuous delivery pipeline.
AI, big data analytics, and IoT are reshaping how organizations compete. Learn why a cloud-first strategy is the essential foundation for any serious digital transformation initiative.
DevOps roles command high salaries and strong demand, which means some candidates inflate or fabricate their credentials. Here is practical advice from experienced IT leaders on identifying DevOps fakers during the screening and interview process.
DevOps is more than a buzzword — it’s a practical framework for modernizing IT service delivery. Learn the core principles, the four A’s, and the tools that make modern service management work in real hybrid environments.
A Cloud Foundry Foundation survey of 601 IT decision-makers found that container adoption is on track to surpass DevOps adoption within two years — but the relationship between the two is more nuanced than the headline suggests.
DevOps conversations tend to center on developers and release velocity. This article examines the Ops side of the equation—what DevOps actually means for operations teams, why operational automation needs rethinking, and how the Ops role is evolving into something closer to software engineering.
IoT deployments demand fast iteration, airtight security, and reliable infrastructure at scale. Learn how DevOps practices—CI/CD, infrastructure automation, security by design, and effective validation—help engineering teams build and maintain production-grade IoT systems.
Technology is rarely the biggest obstacle to DevOps adoption — culture is. Here are ten actionable steps engineering leaders can take to build the collaborative foundation DevOps requires.
Cloud automation is no longer optional for modern IT teams. Learn why automating repetitive tasks matters, how to get started, and where managed services and emerging decision-automation tools fit in.
Technology alone won’t modernize government IT. Learn three critical cultural shifts—collaboration, iterative learning, and procurement reform—that determine whether IT modernization succeeds or fails.
AI and DevOps are both reshaping enterprise software delivery—but they’re evolving in separate silos. Here’s why connecting them matters, and what engineering leaders should do about it.
DevOps and Fast IT adoption are among the fastest-growing areas in business technology, driven by cloud computing, containers, and microservices. Here’s what the trends mean for engineering teams.
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Industry stakeholders are asking whether NoOps — where cloud providers handle all infrastructure management — will eventually replace DevOps as the dominant model for cloud adoption, particularly in government IT.
GitLab 11.0 introduced Auto DevOps, an opinionated, automated pipeline covering build, test, security scanning, packaging, deployment and monitoring — designed to lower the barrier to DevOps adoption for teams without deep pipeline expertise.
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Script sprawl is one of the most overlooked threats to a healthy Continuous Delivery pipeline. Learn how to recognize the warning signs, prioritize refactoring, and treat your pipeline as a product.