A 2nd Watch survey of over 1,000 IT managers found that only about 20% of enterprises are truly practicing DevOps. Here’s what the data reveals and why it’s a defining opportunity for managed service providers.
Continuous testing is not an optional add-on to DevOps — it is the foundation that makes faster, higher-quality releases possible. Learn how to integrate testing throughout your pipeline, which test types belong where, and what cultural shifts your team must make.
Transitioning to DevOps promises faster delivery, better collaboration, and more time for innovation — but only if the shift is managed carefully. Follow these eight practical steps to maximise your chances of a smooth, successful DevOps adoption.
There is no single golden metric for measuring software development success. Learn how the performance-control technique—borrowed from instrument flying—helps engineering teams choose balanced goals and avoid the unintended consequences of optimising for just one number.
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When a DevOps initiative stalls or backfires, the fix rarely involves more tooling alone. Here are five concrete steps — from diagnosing root causes to asserting cross-functional leadership — that engineering teams can take to recover a struggling DevOps transformation.
Accelerating release cycles demands more than new tools. Revisit roles, shrink skills gaps, tighten processes, and audit your tech stack with these four practical DevOps tune-up steps.
Security can no longer be an afterthought in DevOps pipelines. Learn how DevSecOps integrates security policy as code into every stage of the software development lifecycle.
DevOps transforms software delivery by automating the pipeline between development and production. Here’s how development teams can build the right foundation—from tooling choices to continuous feedback loops.
Integrating security into DevOps requires a new mindset, automation, cultural change, and executive sponsorship. Here are four core topics every DevSecOps team should address.
CA Technologies’ DevOps general manager Ashok Reddy outlined a vision for continuous AIOps—using machine learning and data to automate testing, deployment, and operations across the full software lifecycle.
Many engineers treat Continuous Delivery and Continuous Deployment as synonyms. They are not. Understanding the distinction—and the tooling that bridges the gap—is essential for a mature DevOps pipeline.
A Puppet market segmentation report based on a survey of 3,200 IT professionals reveals that DevOps maturity remains low across most enterprises, with high levels of manual work, siloed adoption, and limited automation still the norm.
Despite widespread awareness of its benefits, fewer than half of DevOps teams consistently integrate security into CI/CD pipelines. Here’s why the gap between knowing and doing persists — and what mature organizations do differently.
Digital transformation initiatives often stall on legacy applications, fragmented processes, and unclear starting points. DevOps provides a proven model for modernizing systems iteratively, adopting new compute paradigms, and aligning technology with business goals.
Puppet’s acquisition of data visualization startup Reflect signals a broader strategic shift as containers erode traditional configuration management’s role. Here’s what it means for DevOps teams.
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DevOps automation company Puppet Inc. acquired data visualization startup Reflect Technologies in June 2018, aiming to integrate embedded analytics capabilities into its enterprise infrastructure automation products.
The idea of a “DevOps mindset” sounds compelling, but it’s vague and hard to act on. A more practical approach focuses on observable behaviors and habits that teams can adopt, measure, and improve.
Microsoft’s Donovan Brown popularized the catchphrase ‘Rub Some DevOps On It’ at Build 2016, sparking a real debate about whether vendor DevOps messaging oversimplifies a genuinely complex cultural and technical transformation.