Open source developers published an open letter demanding GitHub terminate its $200,000 contract with U.S. Immigration and Customs Enforcement, as internal resignations and community pressure mounted in late 2019.
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DevOps is more than a buzzword — it demands a rare blend of technical depth and interpersonal skill. Here is what it actually takes to build a career as a DevOps specialist.
An overview of the global DevOps platform market landscape covering major vendors such as Puppet Labs, Chef, Docker, Red Hat (Ansible), and Atlassian, along with market segments, regional breakdowns, and growth drivers for the 2019–2026 forecast period.
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Embedded software development has historically lagged behind mainstream software practices. Learn how to build a modern, automated CI/CD pipeline specifically designed for embedded systems teams.
A look at the major data engineering trends predicted for 2020: hybrid cloud adoption, Kubernetes-based analytics stacks, the decline of HDFS, the ML framework consolidation, and the growing talent gap in data and AI roles.
DevOps has redefined how custom software is built, tested, and delivered. Learn how automation, continuous delivery, and cross-team collaboration make DevOps essential for modern software development.
From GitHub’s pull request model to cloud-native infrastructure and NoSQL databases, the 2010s reshaped software development through open source. Here’s a structured look at the decade’s defining trends.
Moving workloads to VMware Cloud on AWS involves real cost, networking, and operational challenges. Learn how to plan ahead, optimize workloads, and choose the right migration model to avoid costly mistakes.
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An overview of the container orchestration software landscape, covering key players such as Kubernetes, AWS, Docker, Google, and Microsoft, along with market segments, deployment types, and regional dynamics.
AI won’t replace human judgment in DevOps alert management overnight, but it can meaningfully reduce alert fatigue by triaging, aggregating, and routing notifications from multiple systems. Here’s a realistic look at where AI fits today.
Cloud computing, AI, and digital transformation have introduced a set of genuine contradictions that engineers and business leaders must grapple with. Understanding these paradoxes can sharpen how teams design systems, hire talent, and derive value from data.
Struggling to keep up with growing IT operations? These four open source automation tools—Jenkins, Cockpit, Kubernetes, and Ansible—can help admins build reliable, scalable automation pipelines.
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At re:Invent 2019, AWS unveiled Amazon CodeGuru and AWS Compute Optimizer — two ML-powered tools designed to help DevOps teams reduce infrastructure costs, surface code bottlenecks, and select optimal EC2 instance types automatically.
DevOps promises faster delivery and higher software quality, but many organizations stumble on the same pitfalls. Here are three of the most common DevOps mistakes—and how to avoid them.
From chaos engineering as a compliance strategy to business value overtaking velocity as the primary metric, here are three DevOps predictions that shaped thinking heading into 2020.
From Kubernetes and service meshes to DevSecOps and AI-assisted operations, these were the defining DevOps trends shaping engineering teams in 2019 and beyond.
