The biggest barrier between developers and business leaders isn’t technology—it’s language. Here’s a practical guide to bridging the gap, making a financial case for technical work, and negotiating confidently with leadership.
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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.
Knowing you need DevOps automation is the easy part. Knowing what to automate, where to start, and how to govern it is where most teams struggle. This guide breaks down the key areas and principles.
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Effective log management in a DevOps environment goes far beyond choosing the right platform. Learn how to structure logging policies, choose analytics approaches, and integrate with SIEM to support CI/CD workflows.
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.
Blockchain and DevOps are powerful independently, but integrating them raises real cultural, process, and tooling challenges. Learn how DevSecOps principles can smooth the path to successful blockchain adoption.
Serverless computing abstracts infrastructure management away from developers, giving rise to the NoOps model. Learn what that means in practice, how serverless deployments work, and what trade-offs to expect.
An overview of the global DevOps tool market landscape in 2018, covering major vendors such as Atlassian, Chef, Red Hat, and Puppet Labs, regional dynamics, and the forces shaping adoption through 2023.
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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.
GitLab’s 11.0 release brought Kubernetes-native Auto DevOps to the platform, automating the full pipeline from code push to production monitoring — and arrived just as the Microsoft–GitHub acquisition rattled the developer community.
GitLab 11.0 introduced Auto DevOps as a generally available feature, aiming to automate the full software delivery pipeline—from build and test to security scanning, deployment, and monitoring—using Kubernetes under the hood.
DevOps is now mature and mainstream. So what comes next? Explore two distinct possibilities: a backlash that drives a return to earlier practices, or a deeper expansion of DevOps principles across the entire organization.
Measuring DevOps success is harder than it looks. Learn which four global metrics actually matter, which common measures do more harm than good, and why global context is everything.
As digital transformation accelerates, full-stack monitoring has become essential for maintaining application reliability, performance, and business continuity. This article explains what full-stack monitoring covers and why enterprises are adopting it.
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DevOps is reshaping how software is built and delivered. Anand Sahay, CEO of Xebia, explains why DevOps education matters, what career paths it opens, and how India’s tech industry is evolving.
Cloud computing offers real cost and flexibility advantages, but it also raises legitimate security questions. Here is a balanced look at the risks and benefits DevOps and IT teams should weigh before moving workloads to the cloud.