Digital transformation is not a destination — it is an ongoing cycle of learning, adapting, and innovating. Here is how DevOps culture, agile feedback loops, and people-first leadership drive lasting organizational change.
DevOps and cloud computing are deeply complementary. Understand how they reinforce each other, why the pairing accelerates digital transformation, and what the combined business case looks like for engineering teams.
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Infosys released an open-source DevOps platform on GitHub featuring over 2,000 scripts, 150 pre-built pipelines, and support for more than 70 tools—designed to accelerate CI/CD adoption across enterprise application types.
Learn how engineering teams adopt continuous delivery pipelines, orchestrate toolchains, and use blue/green and canary deployment strategies to safely release microservices at speed.
Learn how to adopt a serverless mindset and build a fully serverless platform using static frontends, Function-as-a-Service, CI/CD pipelines, and cloud-native data storage.
A practical guide to successful DevOps implementation, covering infrastructure planning, incremental rollout, CI/CD pipelines, and performance benchmarking.
DevOps and Agile methodologies are reshaping how organizations approach automation. Learn how shorter sprints, continuous integration, and cross-functional collaboration are driving faster delivery and reduced deployment failures.
Timely, actionable feedback is the backbone of a healthy DevOps pipeline. Learn why instant analytics feedback matters, how it evolved alongside modern software delivery, and what it means for your CI/CD workflows today.
AIOps combines big data and machine learning to automate and improve IT operations. Learn how AIOps works, how it differs from DevOps, and why it is shaping the future of enterprise IT management.
When GitHub announced Actions at Universe 2018, it sent ripples through the CI/CD market. Here’s a technical breakdown of what GitHub Actions is, how it compares to dedicated CI vendors, and what DevOps teams should watch.
Cloud computing and DevOps are deeply intertwined disciplines. Learn five critical practices—from staff training and security to flexible tooling and automated performance testing—that help engineering teams avoid common mistakes when adopting DevOps in the cloud.
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Most DevOps initiatives fall short of expectations. Here are the three most common failure modes — people, culture, and data friction — and what engineering leaders can do about each.
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Integrating security into DevOps pipelines requires more than tooling. Effective DevSecOps training focuses on three interconnected areas: change management, capabilities, and roles.
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.
At a Google Cloud Summit in Thailand, enterprises including Ananda Development, Omise, and SCB Abacus shared how cloud adoption has helped them scale operations, cut costs, and build AI-driven solutions.