A SlashData survey of more than 20,500 developers found that machine learning and data science top the list of skills developers plan to acquire, with Python emerging as the language of choice in the data science space.
VM deployment automation accelerates provisioning, enforces consistency, supports DevOps pipelines, and improves governance. Learn the key use cases every infrastructure team should know.
Adobe has embedded CI/CD pipelines, code inspection, and performance testing directly into its cloud services — exposing a growing number of web developers and content authors to DevOps practices, often without them realising it.
Automation is foundational to consistent and scalable application security in DevSecOps. Learn how embedding automated security practices into CI/CD pipelines shortens feedback loops, reduces friction, and helps teams ship secure software faster.
Cloud adoption and DevOps go hand in hand. Learn how organisations can build a secure cloud foundation, migrate workloads safely, and accelerate digital transformation without the overhead of a full in-house ops team.
Containers promise faster delivery, lower infrastructure costs, and tighter DevOps integration—but adoption is still maturing. Here’s how Docker and Kubernetes fit into a modern DevOps automation strategy.
Migrating your DevOps toolchain and CI/CD pipelines to the cloud can unlock greater agility, reduce infrastructure overhead, and accelerate time to market. Here’s how to think through the decision.
Cloud architecture and developer autonomy are two of the strongest predictors of elite software delivery performance, according to DORA’s State of DevOps 2018 report. Here’s what the research means in practice.
Kubernetes is the go-to orchestrator for containerized workloads, but misconfigured clusters and escalating blast radii are real threats. Learn the essential security considerations before you deploy.
Drawing on nearly 30,000 survey responses, Puppet’s State of DevOps Market Segmentation Report reveals how DevOps maturity, automation adoption, and IT performance vary by region and industry — and where most organizations still rely on manual work.
Jenkins Configuration as Code (JCasC) version 1.0 lets administrators and developers define Jenkins configurations in human-readable YAML, store them in version control, and reuse them across multiple instances — reducing manual overhead and bringing software engineering discipline to CI/CD pipeline management.
A Forrester report commissioned by Tricentis found that the most successful Agile and DevOps organizations have moved beyond counting-based testing metrics toward contextual, risk-oriented quality measures. Here’s what that shift looks like in practice.
IT and security teams often operate with conflicting priorities inside DevOps pipelines. Understanding where those tensions come from — and how automation-driven GRC controls can resolve them — is key to building a resilient software delivery process.
DevOps India Summit 2018 brought together 500+ professionals, global experts, and industry leaders in Bengaluru to shape the future of DevOps adoption across India.
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As the global test automation market grows rapidly, Africonology CEO Mandla Mbonambi argues that closing the skills gap—particularly in emerging markets like South Africa—is the critical factor in realising the full value of automated testing.
Compuware is updating its zAdviser platform with AI-driven DevOps metrics and partnering with CollabNet VersionOne to bring Value Stream Management to mainframe software delivery.
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Skipping security to ship faster is a trade-off that consistently backfires. Here are five concrete reasons why DevOps and security teams need to operate as a single, integrated function—and how to make it happen.
Scaling DevOps to full maturity requires intentional governance, compliance-by-design, reusable models, and centralized release orchestration. Here are the key practices every engineering organization should follow.