Agile
The terms DevOps, Agile, cloud native, microservices, and containers are all deeply intertwined—but arriving at a single, coherent definition of ‘cloud native’ for Java developers remains surprisingly difficult. This article unpacks the key concepts and how they relate.
DevOps and agility requirements are placing enormous pressure on IT operations teams. A Freeform Dynamics survey of 400 IT professionals reveals why complexity is the enemy of IT ops—and how high-achieving organisations are responding.
Many DBAs remain cautious about adopting agile database development. These ten practical techniques help teams embrace agility without sacrificing control, consistency, or data integrity.
DevOps is evolving well beyond software delivery pipelines. Four practitioner perspectives explain how Agile thinking, customer feedback loops, talent strategy, and federated IT are shaping the future of DevOps across the enterprise.
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
Agile and DevOps are often treated as competing philosophies, but they address different parts of the software lifecycle. Here’s why combining them delivers better outcomes than picking one.
Hiring DevOps engineers is harder than hiring traditional delivery engineers. Here are six practical steps to attract, evaluate, and retain the right people—and set them up for success.
Scaling Agile across a large enterprise is about far more than buying tools or adopting SAFe. IT leaders must tackle three structural challenges: developing effective product owners, modernising funding models, and building a loosely coupled process ecosystem.
Scrum.org and the DevOps Institute partnered on ScrumOps, a framework that combines Scrum’s empirical delivery model with DevOps automation and culture to help IT organizations ship software continuously and measurably.
Application Performance Monitoring (APM) bridges the gap between development and operations by providing shared visibility across the entire Software Development Life Cycle—helping teams catch issues earlier, align on business goals, and ship more reliable software.
Self-organizing DevOps teams combine automation, shared ownership, and continuous improvement to drive business agility. Here are the key principles, lessons from agile, and challenges to plan for.
YOUR COSMETIC CARE STARTS HERE Find the Best Cosmetic Hospitals Trusted • Curated • Easy Looking for the right place […]
Technical debt accumulates fast in Agile and DevOps environments. Here are five actionable strategies—from automating non-value work to fixing defects early—that engineering teams can use to reduce rework costs and keep delivery velocity high.
The Agile Manifesto’s 12 principles aren’t just historical talking points — they’re actionable daily practices for modern software teams. This guide explains each principle clearly and shows how to apply them in real development workflows.
Service virtualization lets developers and testers work against simulated services instead of waiting for real dependencies—removing a critical bottleneck on the path to continuous testing and continuous delivery.
Agile and DevOps are more powerful together than apart. Learn why organisations need both practices to accelerate delivery, improve customer experience, and drive digital transformation.
Digital transformation requires more than a mindset shift — it demands the right technology stack. Explore four foundational technologies: cloud computing, analytics, agile development, and automation, and learn how each accelerates modernization.
Learn how to implement continuous integration for Pentaho Data Integration (PDI) pipelines using Jenkins — from installation and scheduled jobs to git-hook-triggered builds.
Agility is the defining requirement of modern enterprise IT. Learn how organizations are building agility into infrastructure, storage, networking, and software delivery pipelines — and why the journey never truly ends.
Traditional IT operating models built around plan/build/run cycles can no longer keep pace with digital transformation. Here are nine operating model changes that position IT teams for digital success.
