DevOps Ethics: Understanding the Real Danger of Unethical Code
From fatal autonomous-vehicle accidents to algorithmic exploitation, unethical code carries serious consequences. Here is what the DevOps industry can do about it.
From fatal autonomous-vehicle accidents to algorithmic exploitation, unethical code carries serious consequences. Here is what the DevOps industry can do about it.
Jenkins is addressing long-standing pain points—service instability, brittle configuration, and plugin upgrade friction—through two strategic initiatives: Cloud-Native Jenkins on Kubernetes and an accelerated evolution of Jenkins 2.
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Low-code development platforms are helping IT teams address developer shortages, application backlogs, and legacy system constraints—accelerating digital transformation without proportionally scaling headcount or cost.
A Fortinet survey of more than 300 CISOs and CSOs found that 85% consider cybersecurity the primary obstacle to digital transformation, citing cloud complexity, IoT proliferation, and a widening attack surface as the sharpest pain points.
Cloud migration is just the starting point for digital transformation. For DevOps teams, achieving cross-functional visibility, common situational awareness, and smart data pipelines is what separates mature organizations from siloed ones.
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Skills alone won’t make a DevOps transformation succeed. Learn the five core competencies—culture, leadership, resource management, continuous delivery, and business value—that separate high-performing DevOps teams from the rest.
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YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
DevSecOps integrates security as a first-class citizen in the DevOps pipeline. Insights from Sonatype, Signal Sciences, and AWS experts at DevOps Enterprise Summit 2018 explore how to make security everyone’s responsibility.
How the teamplay team at Siemens Healthineers transformed their software development process toward Continuous Delivery in a regulated medical environment — covering pipeline design, BDD, TDD, pair programming, and gradual team adoption.
Machine learning is one of the most practical tools DevOps teams have for taming the complexity of modern application performance management. Here’s how it works and why big data is the foundation.
AI is reshaping DevOps by tackling its most persistent pain points — from alert fatigue and root cause analysis to predictive failure detection and intelligent automation. Here are eight concrete ways AI can strengthen your DevOps practice.
Scaling DevOps beyond a controlled pilot to the broader enterprise is one of the hardest challenges in modern software delivery. These five practical steps — from value stream mapping to organisational change — provide a realistic framework for expanding DevOps across your organisation.
Security champions bridge the gap between development speed and security rigor in DevOps teams. Learn how to define their role, choose the right people, and keep security information flowing across your organization.
Security doesn’t have to be a bottleneck for DevOps teams. Learn how shifting from legacy vaulting to ephemeral, role-based access controls can embed security into the DevOps workflow rather than working against it.
Cloud provider SLAs stop at the edge of their network, but your users experience performance end to end. Learn how Application Performance Monitoring (APM) tools give DevOps teams the data they need to enforce SLAs, accelerate remediation, and optimize cloud spend.
DevOps transformation is rarely a straight line. This guide breaks the journey into three actionable, agile steps: expanding Agile beyond IT, shifting left in testing and culture, and building a fail-fast mindset across the entire organisation.