Edge computing is reshaping how DevOps teams manage IoT data pipelines. Learn how APIs bridge the gap between edge devices and back-end systems, and what best practices DevOps engineers should follow to succeed.
IT automation is far from finished evolving. Four key trends—automation as a business tool, selective adoption, people-process alignment, and continuous reskilling—will define how IT teams and organizations grow with automation.
Cutting through the noise around DevOps starts with asking the right questions. These four strategic questions help engineering teams evaluate whether their DevOps approach is properly scoped, continuously delivered, cross-functional, and fully committed.
At the 2017 Gartner Application Strategies & Solutions Summit, leading DevOps vendors shifted the conversation from speed alone to delivering market-differentiating features with quality. Here is what that means for engineering teams.
Industry thought leaders weighed in on what 2018 would bring for DevOps, AI, and security. From the rise of DevSecOps to the forgotten database problem, here are the key predictions that shaped the conversation.
Public sector organisations are increasingly embracing DevOps, but they face unique challenges around funding, legacy systems, mission-critical operations, and talent retention. Here’s a detailed look at what’s driving adoption—and what’s holding it back.
Many organisations invest in DevOps tooling and Agile training but still fail to see the promised benefits. The missing piece is almost always organisational structure — and there is a clear, practical sequence for getting it right.
Driving cultural change during a large-scale cloud and DevSecOps transformation is as hard as the technology itself. Here are five practical tactics drawn from a real government initiative.
Cloud computing streamlined the modern workplace, but at scale it introduced new complexity. Here is how combining AI, automation, and cloud services can resolve that tension and genuinely lift productivity.
In late 2017, four technology leaders shared their predictions for 2018 across DevOps, AI, multi-cloud, and data science. Here’s what they said—and why their perspectives remain relevant.
Choosing the right API testing tool depends on your team’s workflow, budget, and testing goals. This guide breaks down six popular options—from commercial suites to open-source libraries—to help you make an informed decision.
DevOps speed and SecOps caution don’t have to conflict. Learn five practical measures that bring development and security teams together to close gaps and keep cloud initiatives moving.
Weaveworks announced a free tier of Weave Cloud for Google Cloud Platform users, offering a pre-integrated solution to simplify Kubernetes cluster setup, CI/CD pipelines, and GitOps-based deployments on GKE.
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From cultural resistance to fragmented toolchains, discover the ten most significant barriers to DevOps adoption and what trends signal how organizations can overcome them.
Tools can support a DevOps transformation, but no vendor can package the cultural change, collaboration, and soft skills that make DevOps actually work. Here’s why skills matter more than software.
Digital transformation demands more than cloud adoption—it requires a new business model, an evolved CIO role, and a disciplined approach to emerging technologies like IoT. Here is how enterprises can plan for lasting success.
Choosing the right programming language can accelerate your DevOps practice. Here are the key languages DevOps engineers rely on—and why each one earns its place in the toolchain.
Containers have become fundamental to modern DevOps practice, enabling fast deployment, environment consistency, and scalable application management. Here is why—and what teams must watch out for.
A roundup of enterprise Kubernetes announcements made at KubeCon and CloudNativeCon 2017 in Austin, Texas, covering Microsoft, CoreOS, Red Hat, Bitnami, Pivotal, and more.