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Adopting AIOps helps DevOps through automation, predictive intelligence and better data-driven decisions. This collaboration fosters efficient processes, improved quality and continuous improvement to meet the ever-changing demands of the industry and customer requirements.
An analysis of a data set collected by SignalFire, a platform provider for recruiting employees, finds that IT professionals specializing in areas such as DevOps move into leadership roles within their organizations within two to three years.
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
Imagine for a moment that DevOps was not just a set of practices or a framework but something alive, breathing and evolving. DevOps has long been about breaking down silos between development and operations teams, speeding […] What would that look like?
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
A study coming out of Stanford University conducted by software engineering productivity specialist Yegor Denisov-Blanch claims that developer teams are rife with so-called ghost engineers who do virtually no work.
The latest survey from Techstrong Research led by Mitch Ashley, with input from over 500 DevOps practitioners, reveals that DevOps is not only thriving, but is also set to grow and evolve significantly over the coming years.
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
The annual DevOps Research and Assessment (DORA) published today by Google finds that while generative artificial intelligence (AI) is leading to moderate gains in productivity, it also appears to be slowing the rate at which software is being delivered.
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Platform engineering represents the evolution of DevOps into a more structured and service-oriented model, effectively embodying the principles of DevOps-as-a-service.
In DevOps, the ability to release software fast, sometimes multiple times a day, is imperative. Developers must be ready to conduct and complete testing in minutes, sorting out whether software is ready to advance to the next phase or if teams should move on from the project. Detecting and resolving bugs before a release enters […]
The DevOps movement has changed how software is built and released by injecting automation and best practices into the veins of the software development lifecycle (SDLC) in a way that has substantially reduced the time and effort required to build and deploy software.
A survey of 504 DevOps professionals published today finds that 20% are now using artificial intelligence (AI) across all phases of the software development lifecycle (SDLC).
A survey of 1,223 IT professionals who work in mainframe environments finds that 62% work for organizations that have adopted DevOps practices, with 35% relying on DevOps workflows to build and deploy applications on both mainframes and distributed computing systems.
In this article, we explore key metrics that can help bridge the gap between the speed of DevOps processes and the essential security requirements needed to protect systems effectively.
Dynatrace, today at its Perform 2025 conference, extended the reach of its Davis artificial intelligence (AI) engine to provide predictive and generative capabilities that complement the causal analytics already provided.
Cribl this week added support for multiple additional platforms to its cloud service for collecting and routing telemetry data collected from multiple DevOps tools and platforms.
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GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows.
Harness today unfurled a bevy of additions to its portfolio that include artificial intelligence (AI) agents that are deeply embedded into DevOps workflows.
Dynatrace's Andi Grabner discusses how DevOps is transforming through platform engineering and AI-driven automation to scale best practices and reduce friction.
Copado today revealed it has developed a series of generative artificial intelligence (AI) agents capable of automating specific tasks that DevOps teams routinely encounter when building and deploying applications on top of the software-as-a-service (SaaS) application platform from Salesforce.
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