DevOps bridges software development and operations to help businesses ship faster, automate reliably, and scale with confidence. Learn the core principles and why adoption matters.
A Cloud Foundry Foundation survey of 601 IT decision-makers found that container adoption is on track to surpass DevOps adoption within two years — but the relationship between the two is more nuanced than the headline suggests.
DevOps conversations tend to center on developers and release velocity. This article examines the Ops side of the equation—what DevOps actually means for operations teams, why operational automation needs rethinking, and how the Ops role is evolving into something closer to software engineering.
Learn how to apply Continuous Integration practices to embedded IoT firmware development using PlatformIO and CircleCI, including remote flashing via PIO Remote.
Security has been an afterthought in software development for decades. Intent-based security and rules automation offer a practical path to embedding security natively into DevOps pipelines—without slowing down continuous delivery.
IoT deployments demand fast iteration, airtight security, and reliable infrastructure at scale. Learn how DevOps practices—CI/CD, infrastructure automation, security by design, and effective validation—help engineering teams build and maintain production-grade IoT systems.
DevOps requires automation and testing at every stage of the delivery pipeline. Learn which categories of testing tools matter, why communication still outranks any single tool, and how to build a practical DevOps testing skillset.
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Serverless computing is maturing fast, and with it comes a fresh wave of startup opportunities in tooling, monitoring, security, and APIs. Here is what developers and investors need to understand about the emerging serverless ecosystem.
A practical framework for evaluating full-stack monitoring tools across infrastructure, network, containers, APM, cloud, alerting, and AIOps — helping DevOps and SRE teams make informed purchasing and configuration decisions.
From pair programming to eliminating waste, these seven field-tested DevOps practices help engineering teams accelerate delivery, improve code quality, and build products that meet continuously changing market demands.
Adopting DevOps is rarely straightforward. This article breaks down the four most common implementation challenges — tool integration, methodology shifts, new tooling, and siloed toolsets — and offers practical guidance for overcoming each one.
Technology is rarely the biggest obstacle to DevOps adoption — culture is. Here are ten actionable steps engineering leaders can take to build the collaborative foundation DevOps requires.
Cloud automation is no longer optional for modern IT teams. Learn why automating repetitive tasks matters, how to get started, and where managed services and emerging decision-automation tools fit in.
Technology alone won’t modernize government IT. Learn three critical cultural shifts—collaboration, iterative learning, and procurement reform—that determine whether IT modernization succeeds or fails.
As software delivery accelerates, security can no longer be an afterthought. Learn why embedding security earlier in the development lifecycle—and the cultural changes required to make it work—is essential for modern DevOps teams.
Octopus Deploy has launched Octopus Cloud, a hosted version of its popular deployment automation tool, letting DevOps teams automate complex deployments without managing their own infrastructure.
AI and DevOps are both reshaping enterprise software delivery—but they’re evolving in separate silos. Here’s why connecting them matters, and what engineering leaders should do about it.
DevOps and Fast IT adoption are among the fastest-growing areas in business technology, driven by cloud computing, containers, and microservices. Here’s what the trends mean for engineering teams.
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